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Archive for the ‘Cardiovascular Pharmacogenomics’ Category

Leaders in Pharmaceutical Business Intelligence would like to announce their First Volume of their BioMedical E-Book Series A: eBooks on Cardiovascular Diseases

 

Perspectives on Nitric Oxide in Disease Mechanisms

Nitric Oxide coverwhich is now available on Amazon Kindle at

http://www.amazon.com/dp/B00DINFFYC

This book is a comprehensive review of Nitric Oxide, its discovery, function, and related opportunities for Targeted Therapy written by  Experts, Authors, Writers.  This book is a series of articles delineating the basic functioning of the NOS isoforms, their production widely by endothelial cells, and the effect of NITRIC OXIDE production by endothelial cells, by neutrophils and macrophages, the effect on intercellular adhesion, and the effect of circulatory shear and turbulence on NITRIC OXIDE production. The e-Book’s articles have been published on the  Open Access Online Scientific Journal, since April 2012.  All new articles on this subject, will continue to be incorporated, as published, in real time in the e-Book which is a live book.

 

We invite e-Readers to write an Article Reviews on Amazon for this e-Book.

 

All forthcoming BioMed e-Book Titles can be viewed at:

http://pharmaceuticalintelligence.com/biomed-e-books/

 

Leaders in Pharmaceutical Business Intelligence, launched in April 2012 an Open Access Online Scientific Journal is a scientific, medical and business multi expert authoring environment in several domains of  life sciences, pharmaceutical, healthcare & medicine industries. The venture operates as an online scientific intellectual exchange at their website http://pharmaceuticalintelligence.com and for curation and reporting on frontiers in biomedical, biological sciences, healthcare economics, pharmacology, pharmaceuticals & medicine. In addition the venture publishes a Medical E-book Series available on Amazon’s Kindle platform.

Analyzing and sharing the vast and rapidly expanding volume of scientific knowledge has never been so crucial to innovation in the medical field. WE are addressing need of overcoming this scientific information overload by:

  • delivering curation and summary interpretations of latest findings and innovations on an open-access, Web 2.0 platform with future goals of providing primarily concept-driven search in the near future
  • providing a social platform for scientists and clinicians to enter into discussion using social media
  • compiling recent discoveries and issues in yearly-updated Medical E-book Series on Amazon’s mobile Kindle platform

This curation offers better organization and visibility to the critical information useful for the next innovations in academic, clinical, and industrial research by providing these hybrid networks.

Table of Contents for Perspectives on Nitric Oxide in Disease Mechanisms

Chapter 1: Nitric Oxide Basic Research

Chapter 2: Nitric Oxide and Circulatory Diseases

Chapter 3: Therapeutic Cardiovascular Targets

Chapter 4: Nitric Oxide and Neurodegenerative Diseases

Chapter 5: Bone Metabolism

Chapter 6: Nitric Oxide and Systemic Inflammatory Disease

Chapter 7: Nitric Oxide: Lung and Alveolar Gas Exchange

Chapter 8. Nitric Oxide and Kidney Dysfunction

Chapter 9: Nitric Oxide and Cancer 

 

 

 

 

 

 

 

 

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Metabolic Genomics and Pharmaceutics, Vol. 1 of BioMed Series D available on Amazon Kindle

Metabolic Genomics and Pharmaceutics, Vol. 1 of BioMed Series D available on Amazon Kindle

Reporter: Stephen S Williams, PhD

Article ID #180: Metabolic Genomics and Pharmaceutics, Vol. 1 of BioMed Series D available on Amazon Kindle. Published on 8/15/2015

WordCloud Image Produced by Adam Tubman

Leaders in Pharmaceutical Business Intelligence would like to announce the First volume of their BioMedical E-Book Series D:

Metabolic Genomics & Pharmaceutics, Vol. I

SACHS FLYER 2014 Metabolomics SeriesDindividualred-page2

which is now available on Amazon Kindle at

http://www.amazon.com/dp/B012BB0ZF0.

This e-Book is a comprehensive review of recent Original Research on  METABOLOMICS and related opportunities for Targeted Therapy written by Experts, Authors, Writers. This is the first volume of the Series D: e-Books on BioMedicine – Metabolomics, Immunology, Infectious Diseases.  It is written for comprehension at the third year medical student level, or as a reference for licensing board exams, but it is also written for the education of a first time baccalaureate degree reader in the biological sciences.  Hopefully, it can be read with great interest by the undergraduate student who is undecided in the choice of a career. The results of Original Research are gaining value added for the e-Reader by the Methodology of Curation. The e-Book’s articles have been published on the Open Access Online Scientific Journal, since April 2012.  All new articles on this subject, will continue to be incorporated, as published with periodical updates.

We invite e-Readers to write an Article Reviews on Amazon for this e-Book on Amazon.

All forthcoming BioMed e-Book Titles can be viewed at:

http://pharmaceuticalintelligence.com/biomed-e-books/

Leaders in Pharmaceutical Business Intelligence, launched in April 2012 an Open Access Online Scientific Journal is a scientific, medical and business multi expert authoring environment in several domains of  life sciences, pharmaceutical, healthcare & medicine industries. The venture operates as an online scientific intellectual exchange at their website http://pharmaceuticalintelligence.com and for curation and reporting on frontiers in biomedical, biological sciences, healthcare economics, pharmacology, pharmaceuticals & medicine. In addition the venture publishes a Medical E-book Series available on Amazon’s Kindle platform.

Analyzing and sharing the vast and rapidly expanding volume of scientific knowledge has never been so crucial to innovation in the medical field. WE are addressing need of overcoming this scientific information overload by:

  • delivering curation and summary interpretations of latest findings and innovations on an open-access, Web 2.0 platform with future goals of providing primarily concept-driven search in the near future
  • providing a social platform for scientists and clinicians to enter into discussion using social media
  • compiling recent discoveries and issues in yearly-updated Medical E-book Series on Amazon’s mobile Kindle platform

This curation offers better organization and visibility to the critical information useful for the next innovations in academic, clinical, and industrial research by providing these hybrid networks.

Table of Contents for Metabolic Genomics & Pharmaceutics, Vol. I

Chapter 1: Metabolic Pathways

Chapter 2: Lipid Metabolism

Chapter 3: Cell Signaling

Chapter 4: Protein Synthesis and Degradation

Chapter 5: Sub-cellular Structure

Chapter 6: Proteomics

Chapter 7: Metabolomics

Chapter 8:  Impairments in Pathological States: Endocrine Disorders; Stress

                   Hypermetabolism and Cancer

Chapter 9: Genomic Expression in Health and Disease 

 

Summary 

Epilogue

 

 

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Heart-Lung-Kidney: Essential Ties

Writer and Curator: Larry H. Bernstein, MD, FCAP 

 

Introduction

The basic functioning of the heart, and the kidney have been covered in depth elsewhere, and pulmonary function less, except in this series.  The relationship between them on the basis of endocrine, signaling, and metabolic balance is the focus in this piece.

Other elated articles can be found in http://pharmaceuticalintelligence.com:

The Amazing Structure and Adaptive Functioning of the Kidneys: Nitric Oxide – Part I
http://pharmaceuticalintelligence.com/2012/11/26/the-amazing-structure-and-adaptive-functioning-of-the-kidneys/

Nitric Oxide and iNOS have Key Roles in Kidney Diseases – Part II
http://pharmaceuticalintelligence.com/2012/11/26/nitric-oxide-and-inos-have-key-roles-in-kidney-diseases/

Stroke and Bleeding in Atrial Fibrillation with Chronic Kidney Disease
http://pharmaceuticalintelligence.com/2012/08/16/stroke-and-bleeding-in-atrial-fibrillation-with-chronic-kidney-disease/

Risks of Hypoglycemia in Diabetics with Chronic Kidney Disease (CKD)
http://pharmaceuticalintelligence.com/2012/08/01/risks-of-hypoglycemia-in-diabetics-with-ckd/

Acute Lung Injury
http://pharmaceuticalintelligence.com/2015/02/26/acute-lung-injury/

Neonatal Pathophysiology
http://pharmaceuticalintelligence.com/2015/02/22/neonatal-pathophysiology/

Altitude Adaptation
http://pharmaceuticalintelligence.com/2015/02/24/altitude-adaptation/

Action of Hormones on the Circulation
http://pharmaceuticalintelligence.com/2015/02/17/action-of-hormones-on-the-circulation/

Innervation of Heart and Heart Rate
http://pharmaceuticalintelligence.com/2015/02/15/innervation-of-heart-and-heart-rate/

Neural Activity Regulating Endocrine Response
http://pharmaceuticalintelligence.com/2015/02/13/neural-activity-regulating-endocrine-response/

Adrenal Cortex
http://pharmaceuticalintelligence.com/2015/02/07/adrenal-cortex/

Thyroid Function and Disorders
http://pharmaceuticalintelligence.com/2015/02/05/thyroid-function-and-disorders/

Highlights in the History of Physiology
http://pharmaceuticalintelligence.com/2014/12/28/highlights-in-the-history-of-physiology/

The Evolution of Clinical Chemistry in the 20th Century
http://pharmaceuticalintelligence.com/2014/12/13/the-evolution-of-clinical-chemistry-in-the-20th-century/

Complex Models of Signaling: Therapeutic Implications
http://pharmaceuticalintelligence.com/2014/10/31/complex-models-of-signaling-therapeutic-implications/

Cholesterol and Regulation of Liver Synthetic Pathways
http://pharmaceuticalintelligence.com/2014/10/25/cholesterol-and-regulation-of-liver-synthetic-pathways/

A Brief Curation of Proteomics, Metabolomics, and Metabolism
http://pharmaceuticalintelligence.com/2014/10/03/a-brief-curation-of-proteomics-metabolomics-and-metabolism/

Natriuretic Peptides in Evaluating Dyspnea and Congestive Heart Failure
http://pharmaceuticalintelligence.com/2014/09/08/natriuretic-peptides-in-evaluating-dyspnea-and-congestive-heart-failure/

Omega-3 fatty acids, depleting the source, and protein insufficiency in renal disease
http://pharmaceuticalintelligence.com/2014/07/06/omega-3-fatty-acids-depleting-the-source-and-protein-insufficiency-in-renal-disease/

Summary – Volume 4, Part 2: Translational Medicine in Cardiovascular Diseases
http://pharmaceuticalintelligence.com/2014/05/10/summary-part-2-volume-4-translational-medicine-in-cardiovascular-diseases/

More on the Performance of High Sensitivity Troponin T and with Amino Terminal Pro BNP in Diabetes
http://pharmaceuticalintelligence.com/2014/01/20/more-on-the-performance-of-high-sensitivity-troponin-t-and-with-amino-terminal-pro-bnp-in-diabetes/

Diagnostic Value of Cardiac Biomarkers
http://pharmaceuticalintelligence.com/2014/01/04/diagnostic-value-of-cardiac-biomarkers/

Erythropoietin (EPO) and Intravenous Iron (Fe) as Therapeutics for Anemia in Severe and Resistant CHF: The Elevated N-terminal proBNP Biomarker
http://pharmaceuticalintelligence.com/2013/12/10/epo-as-therapeutics-for-anemia-in-chf/

The Young Surgeon and The Retired Pathologist: On Science, Medicine and HealthCare Policy – Best writers Among the WRITERS
http://pharmaceuticalintelligence.com/2013/12/10/the-young-surgeon-and-the-retired-pathologist-on-science-medicine-and-healthcare-policy-best-writers-among-the-writers/

Renal Function Biomarker, β-trace protein (BTP) as a Novel Biomarker for Cardiac Risk Diagnosis in Patients with Atrial Fibrillation
http://pharmaceuticalintelligence.com/2013/11/13/renal-function-biomarker-%CE%B2-trace-protein-btp-as-a-novel-biomarker-for-cardiac-risk-diagnosis-in-patients-with-atrial-fibrilation/

Leptin signaling in mediating the cardiac hypertrophy associated with obesity
http://pharmaceuticalintelligence.com/2013/11/03/leptin-signaling-in-mediating-the-cardiac-hypertrophy-associated-with-obesity/

The Role of Tight Junction Proteins in Water and Electrolyte Transport
http://pharmaceuticalintelligence.com/2013/10/07/the-role-of-tight-junction-proteins-in-water-and-electrolyte-transport/

Selective Ion Conduction
http://pharmaceuticalintelligence.com/2013/10/07/selective-ion-conduction/

Translational Research on the Mechanism of Water and Electrolyte Movements into the Cell
http://pharmaceuticalintelligence.com/2013/10/07/translational-research-on-the-mechanism-of-water-and-electrolyte-movements-into-the-cell/

Landscape of Cardiac Biomarkers for Improved Clinical Utilization
http://pharmaceuticalintelligence.com/2013/09/22/landscape-of-cardiac-biomarkers-for-improved-clinical-utilization/

Calcium-Channel Blocker, Calcium as Neurotransmitter Sensor and Calcium Release-related Contractile Dysfunction (Ryanopathy)
http://pharmaceuticalintelligence.com/2013/09/16/calcium-channel-blocker-calcium-as-neurotransmitter-sensor-and-calcium-release-related-contractile-dysfunction-ryanopathy/

Disruption of Calcium Homeostasis: Cardiomyocytes and Vascular Smooth Muscle Cells: The Cardiac and Cardiovascular Calcium Signaling Mechanism
http://pharmaceuticalintelligence.com/2013/09/12/disruption-of-calcium-homeostasis-cardiomyocytes-and-vascular-smooth-muscle-cells-the-cardiac-and-cardiovascular-calcium-signaling-mechanism/

Renal Distal Tubular Ca2+ Exchange Mechanism in Health and Disease
http://pharmaceuticalintelligence.com/2013/09/02/renal-distal-tubular-ca2-exchange-mechanism-in-health-and-disease/

Cardiac Contractility & Myocardium Performance: Therapeutic Implications for Ryanopathy (Calcium Release-related Contractile Dysfunction) and Catecholamine Responses
http://pharmaceuticalintelligence.com/2013/08/28/cardiac-contractility-myocardium-performance-ventricular-arrhythmias-and-non-ischemic-heart-failure-therapeutic-implications-for-cardiomyocyte-ryanopathy-calcium-release-related-contractile/

Advanced Topics in Sepsis and the Cardiovascular System at its End Stage
http://pharmaceuticalintelligence.com/2013/08/18/advanced-topics-in-sepsis-and-the-cardiovascular-system-at-its-end-stage/

The Cardio-Renal Syndrome (CRS) in Heart Failure (HF)
http://pharmaceuticalintelligence.com/2013/06/30/the-cardiorenal-syndrome-in-heart-failure/

More…

Sodium homeostasis

Icariin attenuates angiotensin IIinduced hypertrophy and apoptosis in H9c2 cardiomyocytes by inhibiting reactive oxygen speciesdependent JNK and p38 pathways

H Zhou, Y Yuan, Y Liu, Wei Deng, Jing Zong, Zhou‑Yan Bian, Jia Dai and Qi‑Zhu Tang
Exper and Therapeutic Med 7: 1116-1122, 2014
http://dx.doi.org:/10.3892/etm.2014.1598

Icariin, the major active component isolated from plants of the Epimedium family, has been reported to have potential protective effects on the cardiovascular system. However, it is not known whether icariin has a direct effect on angiotensin II (Ang II)‑induced cardiomyocyte enlargement and apoptosis. In the present study, embryonic rat heart‑derived H9c2 cells were stimulated by Ang II, with or without icariin administration. Icariin treatment was found to attenuate the Ang II‑induced increase in mRNA expression levels of hypertrophic markers, including atrial natriuretic peptide and B‑type natriuretic peptide, in a concentration‑dependent manner. The cell surface area of Ang II‑treated H9c2 cells also decreased with icariin administration. Furthermore, icariin repressed Ang II‑induced cell apoptosis and protein expression levels of Bax and cleaved‑caspase 3, while the expression of Bcl‑2 was increased by icariin. In addition, 2′,7’‑dichlorofluorescein diacetate incubation revealed that icariin inhibited the production of intracellular reactive oxygen species (ROS), which were stimulated by Ang II. Phosphorylation of c‑Jun N‑terminal kinase (JNK) and p38 in Ang II‑treated H9c2 cells was blocked by icariin. Therefore, the results of the present study indicated that icariin protected H9c2 cardiomyocytes from Ang II‑induced hypertrophy and apoptosis by inhibiting the ROS‑dependent JNK and p38 pathways.

Short-term add-on therapy with angiotensin receptor blocker for end-stage inotrope-dependent heart failure patients: B-type natriuretic peptide reduction in a randomized clinical trial

Marcelo E. Ochiai, ECO Brancalhao, RSN Puig, KRN Vieira, et al.
Clinics. 2014; 69(5):308-313
http://dx.doi.org:/10.6061/clinics/2014(05)02

OBJECTIVE: We aimed to evaluate angiotensin receptor blocker add-on therapy in patients with low cardiac output during decompensated heart failure. METHODS: We selected patients with decompensated heart failure, low cardiac output, dobutamine dependence, and an ejection fraction ,0.45 who were receiving an angiotensin-converting enzyme inhibitor. The patients were randomized to losartan or placebo and underwent invasive hemodynamic and B-type natriuretic peptide measurements at baseline and on the seventh day after intervention. ClinicalTrials.gov: NCT01857999. RESULTS: We studied 10 patients in the losartan group and 11 patients in the placebo group. The patient characteristics were as follows: age 52.7 years, ejection fraction 21.3%, dobutamine infusion 8.5 mcg/kg.min, indexed systemic vascular resistance 1918.0 dynes.sec/cm5.m2, cardiac index 2.8 L/min.m2, and B-type natriuretic peptide 1,403 pg/mL. After 7 days of intervention, there was a 37.4% reduction in the B-type natriuretic peptide levels in the losartan group compared with an 11.9% increase in the placebo group (mean difference, – 49.1%; 95% confidence interval: -88.1 to -9.8%, p = 0.018). No significant difference was observed in the hemodynamic measurements. CONCLUSION: Short-term add-on therapy with losartan reduced B-type natriuretic peptide levels in patients hospitalized for decompensated severe heart failure and low cardiac output with inotrope dependence.

Development of a Novel Heart Failure Risk Tool: The Barcelona Bio-Heart Failure Risk Calculator (BCN Bio-HF Calculator)

Josep Lupon, Marta de Antonio, Joan Vila, Judith Penafiel, et al.
PLoS ONE 9(1): e85466. http://dx.doi.org:/10.1371/journal.pone.0085466

Background: A combination of clinical and routine laboratory data with biomarkers reflecting different pathophysiological pathways may help to refine risk stratification in heart failure (HF). A novel calculator (BCN Bio-HF calculator) incorporating N-terminal pro B-type natriuretic peptide (NT-proBNP, a marker of myocardial stretch), high-sensitivity cardiac troponin T (hs-cTnT, a marker of myocyte injury), and high-sensitivity soluble ST2 (ST2), (reflective of myocardial fibrosis and remodeling) was developed. Methods: Model performance was evaluated using discrimination, calibration, and reclassi-fication tools for 1-, 2-, and 3-year mortality. Ten-fold cross-validation with 1000 bootstrapping was used. Results: The BCN Bio-HF calculator was derived from 864 consecutive outpatients (72% men) with mean age 68.2612 years (73%/27% New York Heart Association (NYHA) class I-II/III-IV, LVEF 36%, ischemic etiology 52.2%) and followed for a median of 3.4 years (305 deaths). After an initial evaluation of 23 variables, eight independent models were developed. The variables included in these models were age, sex, NYHA functional class, left ventricular ejection fraction, serum sodium, estimated glomerular filtration rate, hemoglobin, loop diuretic dose, β-blocker, Angiotensin converting enzyme inhibitor/Angiotensin-2 receptor blocker and statin treatments, and hs-cTnT, ST2, and NT-proBNP levels. The calculator may run with the availability of none, one, two, or the three biomarkers. The calculated risk of death was significantly changed by additive biomarker data. The average C-statistic in cross-validation analysis was 0.79. Conclusions: A new HF risk-calculator that incorporates available biomarkers reflecting different pathophysiological pathways better allowed individual prediction of death at 1, 2, and 3 years.

TNF and angiotensin type 1 receptors interact in the brain control of blood pressure in heart failure

Tymoteusz Zera, Marcin Ufnal, Ewa Szczepanska-Sadowska
Cytokine 71 (2015) 272–277
http://dx.doi.org/10.1016/j.cyto.2014.10.019

Accumulating evidence suggests that the brain renin-angiotensin system and proinflammatory cytokines, such as TNF-α, play a key role in the neuro-hormonal activation in chronic heart failure (HF). In this study we tested the involvement of TNF-α and angiotensin type 1 receptors (AT1Rs) in the central control of the cardiovascular system in HF rats. Methods: we carried out the study on male Sprague–Dawley rats subjected to the left coronary artery ligation (HF rats) or to sham surgery (sham-operated rats). The rats were pretreated for four weeks with intracerebroventricular (ICV) infusion of either saline (0.25 µl/h) or TNF-α inhibitor etanercept (0.25 µg/0.25 µl/h). At the end of the pretreatment period, we measured mean arterial blood pressure (MABP) and heart rate (HR) at baseline and during 60 min of ICV administration of either saline (5 µl/h) or AT1Rs antagonist losartan (10 µg/5 µl/h). After the experiments, we measured the left ventricle end-diastolic pressure (LVEDP) and the size of myocardial scar. Results: MABP and HR of sham-operated and HF rats were not affected by pretreatments with etanercept or saline alone. In sham-operated rats the ICV infusion of losartan did not affect MABP either in saline or in etanercept pretreated rats. In contrast, in HF rats the ICV infusion of losartan significantly decreased MABP in rats pretreated with saline, but not in those pretreated with etanercept. LVEDP was significantly elevated in HF rats but not in sham-operated ones. Surface of the infarct scar exceeded 30% of the left ventricle in HF groups, whereas sham-operated rats did not manifest evidence of cardiac scarring. Conclusions: our study provides evidence that in rats with post-infarction heart failure the regulation of blood pressure by AT1Rs depends on centrally acting endogenous TNF-α.

Statins in heart failure—With preserved and reduced ejection fraction. An update

Dimitris Tousoulis , E Oikonomou, G Siasos, C Stefanadis
Pharmacology & Therapeutics 141 (2014) 79–91
http://dx.doi.org/10.1016/j.pharmthera.2013.09.001

HMG-CoA reductase inhibitors or statins beyond their lipid lowering properties and mevalonate inhibition exert also their actions through a multiplicity of mechanisms. In heart failure (HF) the inhibition of isoprenoid intermediates and small GTPases, which control cellular function such as cell shape, secretion and proliferation, is of clinical significance. Statins share also the peroxisome proliferator-activated receptor pathway and inactivate extracellular-signal-regulated kinase phosphorylation suppressing inflammatory cascade. By down-regulating Rho/Rho kinase signaling pathways, statins increase the stability of eNOS mRNA and induce activation of eNOS through phosphatidylinositol 3-kinase/Akt/eNOS pathway restoring endothelial function. Statins change also myocardial action potential plateau by modulation of Kv1.5 and Kv4.3 channel activity and inhibit sympathetic nerve activity suppressing arrhythmogenesis. Less documented evidence proposes also that statins have antihypertrophic effects – through p21ras/mitogen activated protein kinase pathway – which modulate synthesis of matrix metalloproteinases and procollagen 1 expression affecting interstitial fibrosis and diastolic dysfunction. Clinical studies have partly confirmed the experimental findings and despite current guidelines new evidence supports the notion that statins can be beneficial in some cases of HF. In subjects with diastolic HF, moderately impaired systolic function, low B-type natriuretic peptide levels, exacerbated inflammatory response and mild interstitial fibrosis evidence supports that statins can favorably affect the outcome. Under the lights of this evidence in this review article we discuss the current knowledge on the mechanisms of statins’ actions and we link current experimental and clinical data to further understand the possible impact of statins’ treatment on HF syndrome.

Since 1980 when the first 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitor or statin was introduced in clinical practice, statins have been extensively used in the treatment of patients with dyslipidemia as well as of those with coronary artery disease (CAD). Importantly, large scale trials and metanalysis have documented their significant benefits in terms of primary and secondary CAD prevention which out-weigh any potential side effects. Statins’ benefits extend, according to recent studies, even in patients with normal or low cholesterol levels and beyond their lipid lowering effects, indicating their multiple protective mechanisms.

Heart failure (HF) is a complex syndrome with different definitions and its diagnosis is based on a combination of symptoms, clinical signs and imaging or laboratory data. different categorization schemes have been used dividing HF in acute or chronic, in systolic or diastolic, and in ischemic or dilated simply reflecting the complexity of the syndrome and the multiplicity of the pathophysiologic mechanisms implicated in the disease development and progression. In addition to the diverse pathophysiology of HF the syndrome is also characterized by high morbidity and mortality. Recent treatment advantages such as angiotensin converting enzyme inhibitors and beta blockers have not yet proven their clinical benefit in subjects with diastolic HF.

As the most common cause of HF is CAD and statins have proven their benefits in a wide spectrum of diseases directly or indirectly associated with atherosclerotic cardiovascular disease, HMG-CoA reductase inhibitors have been tested in subjects with HF. Interestingly, non-randomized, observational and retrospective early studies in subjects with HF of ischemic and non-ischemic etiology have suggested that statins are associated with improved outcomes. Thereafter, two large scale randomized control trials failed to demonstrate any benefits in mortality of HF patients treated with rosuvastatin and subsequently current HF guidelines do not include recommendations for statin use except from when they are indicated for comorbidities, such as established CAD.

Statins inhibit HMG-CoA reductase. This enzyme catalyzes the conversion of 3-hydroxy-3-methylglutaryl-coenzyme A to L-mevalonic acid, which is the rate-limiting step in the cholesterol synthesis pathway. Inhibition of the mevalonate pathway and of cholesterol synthesis triggers an increase in LDL receptor activity by stimulating production of mRNA for LDL receptor in liver. The induction of LDL receptors is responsible for the observed increase in plasma clearance of LDL cholesterol. CAD is the cause of approximately two-thirds of cases of systolic HF. The beneficial effects of statins-induced LDL reduction are well established in patients with atherosclerosis and CAD. Nevertheless, the results from statin treatment, even in ischemic HF cases, are not straightforward and several mechanisms have been proposed for this paradox.

multiplicity of HMG CoA reductase inhibitors mechanisms and their effects

multiplicity of HMG CoA reductase inhibitors mechanisms and their effects

The figure demonstrates the multiplicity of HMG CoA reductase inhibitors mechanisms and their effects. ↓: decrease; ↑ increase; FPP: farnesyl pyrophosphate: GGPP: geranylgeranyl pyrophosphate; Ras, Rac, Rho; small GTPases; eNOS: endothelial nitric oxide synthase; ATP: adenosine triphosphate; PI-3 kinase: phosphatidylinositol 3-kinase; AMPK: AMP activated protein kinase; GTP: Guanosine triphosphate; NADPH: Nicotinamide adenine dinucleotide phosphate; ERK: extracellular-signal-regulated kinase; Shadow box represents adverse mechanism and actions of HGM CoA reductase inhibitors.

The anti-inflammatory effects of HMG CoA reductase inhibitors in atherosclerosis have been early recognized. Statins also have a potent anti-inflammatory effect in HF models. Importantly, there is a link between inflammation and HF pathogenesis and is now widely accepted that pro-inflammatory cytokines cause systolic dysfunction, myocardial hypertrophy, activate a fetal gene program in cardiac myocytes, disturb extracellular matrix structure, cause cardiac cachexia etc. In addition, data from the Vesnarinone trial (VEST) in 384 patients with HF demonstrate a decline in survival with increasing TNFα levels confirming the notion that circulating cytokines are associated with adverse prognosis of HF patients.

The proposed, by the aforementioned mechanisms, anti-inflammatory effects of statins have been confirmed experimentally. Indeed, in a rat HF model with preserved ejection fraction (EF), treatment with rosuvastatin resulted in a significant additional improvement in HF and cardiac remodeling, partly due to decreased myocardial inflammation. In rats after acute myocardial infarction simvastatin treatment for 4 weeks beneficially modified the levels of TNFα, interleukin (IL)-1, 6 and 10 in the infarct regions. Importantly, in 446 patients with systolic HF, followed up for a period of 24 months, statins’ treatment was associated with a decrease in serum levels of C-reactive protein (CRP), IL-6 and tumor necrosis factor-alpha receptor II. Recently, in a randomized study of 22 subjects with ischemic HF short term atorvastatin treatment achieved a significant decrease in serum levels of intracellular adhesion molecule-1.

Taken together we can conclude that HMG CoA reductase inhibitors can modify inflammatory status by modulation of PRAP and ERK pathways by down regulating Toll like receptor 4 mRNA expressions and LDL oxidation and by reducing soluble lipoprotein-associated phospholipase A2 mass and activity. Importantly, the theoretical anti-inflammatory properties were confirmed in experimental and clinical HF models.

Endothelial dysfunction contributes to the pathogenesis of HF and can enhance adverse left ventricle (LV) remodeling and increase afterload in subjects with HF. Interestingly, statins have been constantly associated with improved endothelial function in subjects with a variety of cardiovascular diseases. Endothelium derived nitric oxide (NO) is an important determinant of endothelial function and HMG-CoA reductase inhibitors can up regulate endothelial NO synthase (eNOS) by different mechanisms.

Statins induce down regulation of Rho/Rho kinase signaling pathways, increasing the stability of eNOS mRNA and its expression . In addition, in human endothelial cells the Rho-kinase inhibitor, hydroxyfasudil leads to the activation of the phosphatidylinositol 3-kinase/Akt/eNOS pathway. Statins also induce activation of eNOS through the rapid activation of the serine–threonine protein kinase Akt. The beneficial effects of Akt activation are not limited to eNOS phoshorylation but extend to the promotion of new blood vessels growth. HMG CoA reductase inhibitors can further affect endothelial function through their effect on caveolin-1. Caveolin-1 binds to eNOS inhibiting NO production. Incubation of endothelial cells with atorvastatin promotes NO production by decreasing caveolin-1 expression, regardless of the level of extracellular LDL-cholesterol. These effects were reversed with mevalonate highlighting the therapeutic potential of inhibiting cholesterol synthesis in peripheral cells to correct NO-dependent endothelial dysfunction associated with hypercholesterolemia and possibly other diseases.

Although the experimentally confirmed benefits of HMG CoA reductase inhibitors in diastolic dysfunction and left ventricle stiffness, few data exist concerning the underlying mechanisms. As diastolic dysfunction precedes myocardial hypertrophy the anti-hypertrophic pathways mentioned in the previous section (inhibition of RhoA/Ras/ERK, PRAPγ pathways, inhibition of a large G(h) protein-coupled pathway etc.), may also contribute to the restoration of diastolic function. Moreover, in angiotensin II induced diastolic dysfunction in hypertensive mice, pravastatin not only improved diastolic function but also down-regulated collagen I, transforming growth factor-beta, matrix metalloproteinases (MMPs)-2 and -3, atrial natriuretic factor, IL-6 TNFα, Rho kinase 1 gene expression, and upregulated eNOS gene expression. These findings suggest the potential involvement of Rho kinase 1 in the beneficial effects of pravastatin in diastolic HF. Taken together data suggest that HMG CoA reductase inhibitors might be beneficial in patients with diastolic HF, a hypothesis that remains to be confirmed by clinical studies. Nevertheless, mechanistic studies have not fully explored the pathways affecting diastolic function and most data until now are indirect. Therefore efforts should be focus on the underline mechanisms affecting collagen synthesis, MMPs activity extracellular matrix synthesis and overall diastolic function in HF subjects under statin treatment.

Statins through inhibition of small GTPases can modulate MMPs activity in several cell types such as endothelial cells and human macrophages. In rat and human cardiac fibroblasts, stimulated with either transforming growth factor β1 or angiotensin II, atorvastatin reduced collagen synthesis and α1-procollagen mRNA as well as gene expression of the profibrotic peptide connective tissue growth factor 4. This antifibrotic action may contribute to the anti-remodelling effect of statins. In mouse cardiac fibroblasts treated with angiotensin II, the combination of pravastatin and pioglitazone blocked angiotensin II p38 MAPK and p44/42 MAPK activation and procollagen expression-1.

Several studies have documented the impact of statin treatment on arrhythmia potential. The arrhythmic protective effects of statins can be attributed not only to anti-inflammatory properties but also to changes in myocardial action potential plateau by modulation of Kv1.5 and Kv4.3 channel activity. Atorvastatin and simvastatin block Kv1.5 and Kv4.3 channels shifting the inactivation curve to more negative potentials following a complex mechanism that does not imply the binding of the drug to the channel pore. Moreover, in hypertrophied neonatal rat ventricular myocytes simvastatin alleviated the reduction of Kv4.3 expression, I(to) currents in subepicardial myocardium from the hypertrophied left ventricle. Furthermore, pravastatin in an animal model attenuated reperfusion induced lethal ventricular arrhythmias by inhibition of calcium overload.

Taking together experimental and cellular evidence supporting an effect of statin treatment in myocardial contractility is spare and for the time being we cannot definitively conclude on the clinical impact of HMG CoA reductase inhibitors in myocardial systolic performance.

Half of the cases of HF are attributed to diastolic dysfunction and the prognosis of HF with preserved EF is as ominous as the prognosis of HF with systolic dysfunction. Unfortunately, no treatment has yet been shown, convincingly, to reduce morbidity and mortality in patients with HF and preserved EF, while this group of patients is usually excluded from large prospective randomized trials and accordingly few data exist for the role of statins in this heterogeneous population.

As there is substantially lack of evidence concerning the effects of HMG CoA reductase inhibitors in subjects with HF and preserved EF the first indirect hypothesis was extrapolated from observational prospective studies in subjects with ischemic heart disease and no evidence of congestive HF. Indeed, in a cohort of 430 consecutive patients with ischemic heart disease and a mean EF of 57% Okura et al. observed that subjects under HMG CoA reductase inhibitors treatment had decreased E/E′ ratio—corresponding to a better diastolic function—and a significantly higher survival rate (Okura et al., 2007). According to the authors those beneficially effects can be attributed to improved endothelial function and vasodilatory response to reactive hyperemia, attenuation of myocardial hypertrophy, and interstitial fibrosis.

Despite the positive results from mechanistic and experimental studies clinical studies have failed to confirm a definitive role of HMG CoA reductase inhibitors in HF. Nevertheless, by extrapolating experimental and mechanistic data in clinical settings we further understand how HMG-CoA reductase inhibitors can beneficially affect subgroups of HF subjects such as those with preserved EF, low B-type natriuretic peptide levels, exacerbated inflammatory response and limited interstitial fibrosis. Nevertheless, as a definitive mechanism is lacking, there is uncertainty about the decisive mode of action and further mechanistic studies are needed to reveal how HMG-CoA reductase inhibitors act in HF substrate.

Pro- A-Type Natriuretic Peptide, Proadrenomedullin, and N-Terminal Pro-B-Type Natriuretic Peptide Used in a Multimarker Strategy in Primary Health Care in Risk Assessment of Patients with Symptoms of Heart Failure

Urban Alehagen, Ulf Dahlstr€Om,  Jens F. Rehfeld, And Jens P. Goetze
J Cardiac Fail 2013; 19(1):31-39. http://dx.doi.org/10.1016/j.cardfail.2012.11.002

Use of new biomarkers in the handling of heart failure patients has been advocated in the literature, but most often in hospital-based populations. Therefore, we wanted to evaluate whether plasma measurement of N-terminal pro-B-type natriuretic peptide (NT-proBNP), midregional pro-A-type  atriuretic peptide (MR-proANP), and midregional proadrenomedullin (MR-proADM), individually or combined, gives prognostic information regarding cardiovascular and all-cause mortality that could motivate use in elderly patients presenting with symptoms suggestive of heart failure in primary health care. Methods and Results: The study included 470 elderly patients (mean age 73 years) with symptoms of heart failure in primary health care. All participants underwent clinical examination, 2-dimenstional echocardiography, and plasma measurement of the 3 propeptides and were followed for 13 years. All mortality was registered during the follow-up period. The 4th quartiles of the biomarkers were applied as cutoff values. NT-proBNP exhibited the strongest prognostic information with 4-fold increased risk for cardiovascular mortality within 5 years. For all-cause mortality MR-proADM exhibited almost 2-fold and NTproBNP 3-fold increased risk within 5 years. In the 5e13-year perspective, NT-proBNP and MR-proANP showed significant and independent cardiovascular prognostic information. NT-proBNP and MR-proADM showed significant prognostic information regarding all-cause mortality during the same time. In those with ejection fraction (EF) !40%, MR-proADM exhibited almost 5-fold increased risk of cardiovascular mortality with 5 years, whereas in those with EF O50% NT-proBNP exhibited 3-fold increased risk if analyzed as the only biomarker in the model. If instead the biomarkers were all below the cutoff value, the patients had a highly reduced mortality risk, which also could influence the handling of patients. Conclusions: The 3 biomarkers could be integrated in a multimarker strategy for use in primary health care.

Novel Biomarkers in Heart Failure with Preserved Ejection Fraction

Kevin S. Shah, Alan S. Maisel
Heart Failure Clin 10 (2014) 471–479
http://dx.doi.org/10.1016/j.hfc.2014.04.005

KEY POINTS

  • Heart failure with preserved ejection fraction (HFPEF) is a common subtype of congestive heart failure for which therapies to improve morbidity and mortality have been limited thus far.
  • Numerous biomarkers have emerged over the past decade demonstrating prognostic significance in HFPEF, including natriuretic peptides, galectin-3, soluble ST2, and high-sensitivity troponins.
  • These markers reflect the multiple mechanisms implicated in the pathogenesis of HFPEF, and future research will likely use these markers to not only help determine heart failure phenotypes but also target specific therapies.

Heart failure (HF) is a global epidemic, defined as an abnormality of cardiac function leading to the inability to deliver oxygen at a rate adequate to meet the requirements of tissues. It is truly a clinical syndrome of symptoms and signs resulting from this cardiac abnormality. Over the past decade, further characterization into 2 entities has occurred: HF with preserved ejection fraction (HFPEF) and HF with reduced ejection fraction (HFREF). HFPEF, previously termed diastolic HF, encompasses the syndrome of HF with a preserved ejection fraction. Cutoffs for this ejection fraction typically are from 45% to 50%. The prevalence of HF is upward of 1% to 2% of the adult population, with an increased prevalence found in elderly and female patients. Multiple studies have shown that the prevalence of HFPEF is actually comparable with the number of patients with HFREF. As expected, most deaths from HFPEF are cardiovascular, comprising 51% to 70% of mortality.

The pathophysiology of HFPEF is controversial and remains poorly understood. Originally, HFPEF was thought to be a primary manifestation of diastolic dysfunction of the left ventricle. However, patients with HFREF are known to also commonly have impaired ventricular relaxation. The primary mechanism of left ventricular (LV) dysfunction is based on structural remodeling and endothelial dysfunction, lending itself to LV stiffness, and increased left atrial pressure. This pressure change is what drives pulmonary venous congestion and subsequent symptomatology. The ventricular stiffness commonly seen in HFPEF is attributed to multiple mechanisms, including fibrosis, excessive collagen deposition, cardiomyocyte stiffness, and slow LV relaxation.

The natriuretic peptides (NPs) are the cornerstone biomarker in congestive HF (CHF). Many of the details of the role of NPs are covered in an article – Florea VG, Anand IS. Biomarkers. Heart Fail Clin 2012;8(2):207–24. The Breathing Not Properly trial originally helped establish the role of B-type natriuretic peptide (BNP) in the diagnosis of CHF. BNP and the N-terminal prohormone BNP (NT-proBNP) have been shown in numerous trials to be an excellent tool for ruling out CHF as a cause of acute dyspnea. Aside from a strong negative predictive value, NPs correlate with HF severity, prognostication, outpatient CHF management, and screening. When attempting to use NPs specifically to distinguish between HFPEF and HFREF, results have shown that NPs do not have a particular cutoff, but are typically elevated in HFPEF in comparison with patients without HF. These levels of NPs in HFPEF are typically lower than levels in patients with HFREF.

Although the role of novel renal biomarkers has not been fully explored specifically in HFPEF, they likely have an impactful role in the assessment and management of acute kidney injury (AKI) and the cardiorenal syndrome. Two biomarkers are briefly discussed here: neutrophil gelatinase-associated lipocalin (NGAL) and cystatin C. NGAL is a 25-kDa protein in the lipocalin family of proteins with a role in inflammation and immune modulation.

The future of biomarkers and their utility in HF is very promising, starting with the potential for using biomarkers as end points in trials. Biomarkers serve as surrogates for various pathophysiologic mechanisms, and there are potential benefits in using them as trial end points. Advantages include the ability to obtain quick and early data, as well as possibly better understand the nature of the disease. However, the counterargument against using biomarkers as trial end points includes whether treatment effects on a biomarker reliably predict effects on a clinically meaningful end point.
Reduced cGMP signaling activates NF-κB in hypertrophied hearts of mice lacking natriuretic peptide receptor-A

Elangovan Vellaichamy, Naveen K. Sommana, Kailash N. Pandey
Biochemical and Biophysical Research Communications 327 (2005) 106–111
http://dx.doi.org:/10.1016/j.bbrc.2004.11.153

Mice lacking natriuretic peptide receptor-A (NPRA) develop progressive cardiac hypertrophy and congestive heart failure. However, the mechanisms responsible for cardiac hypertrophic growth in the absence of NPRA signaling are not yet known. We sought to determine the activation of nuclear factor-κB (NF-κB) in Npr1 (coding for NPRA) gene-knockout (Npr1-/-) mice exhibiting cardiac hypertrophy and fibrosis. NF-κB binding activity was 4-fold greater in the nuclear extract of Npr1-/-mutant mice hearts as compared with wild-type (Npr1+/+) mice hearts. In parallel, inhibitory κB kinase-b activity and IκB-α protein phosphorylation were also increased 3- and 4-fold, respectively, in hypertrophied hearts of mutant mice. cGMP levels were significantly reduced 5-fold in plasma and 10-fold in ventricular tissues of mutant mice hearts  relative to wild-type controls. The present findings provide direct evidence that ablation of NPRA/cGMP signaling activates NF-κB binding activity associated with hypertrophic growth of mutant mice hearts.

Regulation of guanylyl cyclase/natriuretic peptide receptor-A gene expression

Renu Garg, Kailash N. Pandey
Peptides 26 (2005) 1009–1023
http://dx.doi.org:/10.1016/j.peptides.2004.09.022

Natriuretic peptide receptor-A (NPRA) is the biological receptor of the peptide hormones atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP). The level and activity of this receptor determines the biological effects of ANP and BNP in different tissues mainly directed towards the maintenance of salt and water homeostasis. The core transcriptional machinery of the TATA-less Npr1 gene, which encodes NPRA, consists of three SP1 binding sites and the inverted CCAAT box. This promoter region of Npr1 gene has been shown to contain several putative binding sites for the known transcription factors, but the functional significance of most of these regulatory sequences is yet to be elucidated. The present review discusses the current knowledge of the functional significance of the promoter region of Npr1 gene and its transcriptional regulation by a number of factors including different hormones, growth factors, changes in extracellular osmolarity, and certain physiological and patho-physiological conditions.

Atrial natriuretic peptide (ANP), a member of natriuretic peptide family is a polypeptide consisting of 28 amino acids and was discovered as a potent vasodilator and diuretic hormone produced in granules of the atrium. The natriuretic peptide family consists of the peptide hormones ANP, brain natriuretic peptide (BNP) and C-type natriuretic peptide (CNP), each of which is derived from a separate gene. ANP and BNP are cardiac derived peptides, which are secreted and up-regulated in myocardium in response to different patho-physiological stimuli, while CNP is an endothelium-derived mediator that plays an important paracrine role in the vasculature. All of these natriuretic peptides elicit a number of vascular, renal, and endocrine effects mainly directed towards the maintenance of blood pressure and extracellular fluid volume by binding to their specific cell surface receptors. ANP exerts its effects at a number of sites including the kidney, where it produces natriuretic and diuretic responses; the adrenal gland, where it inhibits aldosterone synthesis and secretion; vascular smooth muscle cells, where it produces vasorelaxation; the endothelial cells, where it may regulate vascular permeability; gonadal cells, where it affects synthesis of androgen and estradiol. Each of these target sites of ANP activity has been shown to possess specific high affinity receptors for ANP. To date, three different subtypes of natriuretic peptide receptors have been characterized, purified, and cloned, i.e. natriuretic peptide receptors A, B, and C also designated as NPRA, NPRB, and NPRC, respectively. ANP and BNP specifically bind to NPRA, which contains guanylyl cyclase catalytic activity and produces intracellular secondary messenger cGMP in response to hormone binding.

NPRA is considered the biological receptor of ANP and BNP because most of the physiological effects of these hormones are triggered by generation of cGMP or its cell permeable analogs. Recent studies with mice lacking the Npr1 gene, demonstrated that genetic disruption of NPRA increases the blood pressure and causes hypertension in these animals. On the other hand, the effect of ANP was found to be increased linearly in Npr1 gene-duplicated mice
in a manner consistent with gene copy number. All this clearly indicates that the level of NPRA expression determines the extent of the biological effects of ANP and BNP. But the intervention strategies aimed at controlling NPRA expression are limited by the paucity of studies in this area. The cDNA and gene encoding NPRA designated as Npr1 has been cloned and characterized in mouse, rat, bull frog, euryhaline eel, and medaka fish. The primary structure of this gene is essentially same in all the different species and contains 22 exons interrupted by 21 introns.  The Npr1 gene sequence has been found to be interspersed with a number of repetitive elements including (SINES), (MER2), and tandem repeat elements in all the different species.

Although the Npr1 gene transcriptional regulation is only poorly understood, the activity and expression of NPRA assessed primarily through ANP stimulated cGMP accumulation are found to be regulated by a number of factors including auto-regulation by natriuretic peptides themselves, other hormones such as endothelin, glucocorticoids, and angiotensin II (ANG II), growth factors, changes in extracellular ion composition, and certain physiological and patho-physiological conditions.

The core molecular machinery of the TATA-less Npr1 gene consisting of SP1 binding sites and the inverted CCAAT box has been authenticated to be indeed functional in rat promoter element. It has been shown that the molecular machinery that regulates the basal expression of Npr1 gene consists of three SP1 binding sites in conjunction with an inverted CCAAT box present in the proximal promoter region. Mutation in any of these SP1 binding sites which
are located within 350 bp upstream of transcription start site in rat Npr1 promoter inhibited SP1 and SP3 binding and decreased the promoter activity by 50–75%, while simultaneous mutation of all the three led to a >90% reduction in promoter activity. The proximal SP1 binding site was much more effective than the distal sites in inducing the expression implying that the proximity to the core transcriptional machinery contributes to the magnitude of the observed effect. The over-expression of either SP1 or SP3 resulted in the induction of the wild type Npr1 promoter, confirming that these transcription factors serve as positive regulators of the Npr1 gene expression.

A number of natriuretic peptides such as ANP, BNP, CNP, and urodilatin (i.e. ANP95–126) can down-regulate ligand dependent NPRA activity after as little as 2 h prior exposure to the ligand, which remains suppressed until 48 h of exposure in cultured cells. The early reduction of NPRA activity is independent of changes in Npr1 gene expression as the pretreatment of cultured cells with actinomycin D (an inhibitor of transcription) for 1 h failed to block the response to ANP implying that ligand acts, at least early on, through a post transcriptional mechanism in reducing NPRA activity. The sustained reduction of NPRA activity, on the other hand, has been shown in fact due to reduction in NPRA mRNA levels (∼50%) by treatment with 100nM ANP for 48 h. This reduction could also be affected by treatment of cultured cells with 8-Br-cGMP with similar kinetic response and was amplified by phosphodiesterase inhibitors, but was not shared by NPRC-selective ligand cANF, suggesting that the down regulation of Npr1 gene expression is mediated by elevations of intracellular cGMP involving either NPRA or NPRB. .. The cGMP regulatory region was pinpointed to position−1372 to−1354 bp from the transcription start site of Npr1 by gel shift assays and footprinting analysis, which indicated its interaction with transcriptional factor(s). Further cross-competition experiments with mutated oligonucleotides led to the definition of a consensus sequence (−1372 bp AaAtRKaNTTCaAcAKTY −1354 bp) for the novel cGMP-RE, which is conserved in the human (75% identity) and mouse (95% identity) Npr1 promoters. The combination of these transcriptional and post-transcriptional ligand-dependent regulatory mechanisms provides the cells with greater flexibility in both initiating and maintaining the suppression of NPRA activity.

The peptide hormone Ang II is an important component of renin-angiotensin system (RAS) and exerts its biological effects such as blood pressure regulation, vasoconstriction, and cell proliferation in many tissues including the kidney, adrenal glands, brain, and vasculature. The two vasoactive peptide hormones, Ang II (vasoconstrictive) and ANP (vasodilatory), interact and mutually antagonize the biological effects of each other at various levels. ANP has been shown to inhibit Ang II-induced contraction of isolated glomeruli and cultured mesangial cells, as well as Ang II-stimulated activation of protein kinase C and mitogen activated protein kinase in vascular smooth muscle cells in a cGMP-dependent manner. Inversely, Ang II has been shown to down-regulate guanylyl cyclase activity of the biological receptor of ANP, NPRA, by activating protein kinase C and/or by stimulating protein tyrosine phosphatase activity, thereby inhibiting the ANP stimulated cGMP accumulation. Ang II also reduces the ANP dependent cGMP levels by stimulating cGMP hydrolysis, apparently
via a calcium dependent cGMP phosphodiesterase.

Endothelin is a vasoconstrictor peptide that was originally isolated from porcine endothelial cells. It is produced as three isoforms (ET1-3) that bind to two receptor subtypes (ETA and ETB). ET is produced in the kidney and subject to regulation by a number of local and systemic factors including immune cytokines and extracellular tonicity. Since, endothelin is avidly expressed in the nephron segment, where NPRA is up-regulated by osmotic stimulus, it was investigated whether endothelin plays a role in the control of basal or osmotically regulated Npr1 gene expression in these cells. The endogenous endothelin and not the exogeneously administered endothelin inhibit the basal but not osmotically stimulated expression of Npr1. The type A (BQ610) and type B (IRL 1038) endothelin receptor antagonists increased the level of NPRA mRNA by two to three-fold, whereas co-administration of exogenous endothelin resulted in partial reversal of this stimulatory effect of receptor antagonists. The increase in extracellular tonicity reduces the endothelin mRNA accumulation (∼15% of control levels) in inner medullary collecting duct cells but this reduction is not found to be linked to the stimulation of NPRA activity/expression in response to osmotic stress.

Glucocorticoids influence the cardiovascular system and induce a rapid increase in blood pressure. Glucocorticoids are known to regulate
transcription in many systems, possibly by interacting with glucocorticoid responsive elements and associated chromatin proteins. These have been shown to affect the atrial endocrine system by regulating both the synthesis and secretion of ANP in vitro and in vivo. Thus, it seems plausible that glucocorticoid may also interact with the atrial endocrine system by modulating ANP receptor levels. The stimulation of vascular smooth muscle cells from rat mesenteric artery with dexa-methasone (a highly specific synthetic glucocorticoid agonist) caused an increase in NPRA mRNA levels in a time dependent manner which reached a plateau after 48 h of glucocorticoid administration. This mRNA increase was mimicked by cortisol and inhibited by glucocorticoid receptor antagonists RU38486. Also cGMP generated by NPRA in dexamethasone treated cells was higher than in control cells and this production was mimicked by cortisol and blocked by RU 38486. These results suggest that glucocorticoids exert a positive effect on NPRA transcription in rat mesenteric arteries.

Previous studies have shown that guanylyl cyclase activity of NPRA is either activated, or inhibited by an increase in extracellular tonicity. Though none of these studies were definitive in terms of elucidating the mechanisms involved, they suggested that the activation predominates with longer exposure (∼24 h), while the inhibition with short-term exposure (minutes) to the osmotic stimulus. More recently, the mechanism(s) underlying the activation of NPRA expression by osmotic stimulus has been investigated. The NaCl (75 mM) or sucrose (150 mM), but not osmotically inert solute, urea (150 mM) increased NPRA activity, gene expression, and promoter activity after as early as 4 h reaching a maximum at 24 h in inner medullary collecting duct cells. The osmotic stimulus also activated extracellular signal regulated kinase (ERK), c-Jun-NH2-terminal kinase (JNK), and p38 mitogen activated protein kinase- (p38 MAPK-β). The inhibition of p38 MAPK-βwith SB20580 completely  blocked the osmotic stimulation of receptor activity and expression, and caused a dose-dependent reduction in promoter activity, whereas inhibition of ERK with PD98059 had no effect.

The expression of NPRB, the biological receptor of CNP, has been shown to be regulated by a number of factors including natriuretic peptide ligands, intracellular cAMP levels, water deprivation, TGF-1, dexamethasone treatment, as well as renal sodium status, as its mRNA levels were upregulated in the renal cortex of sodium depleted animals. NPRB expression has also been found to be regulated by alternative splicing. Three isoforms of NPRB have been identified of which NPRB1 is the full length form and responds maximally to CNP, NPRB2 isoform contains a 25 amino acid deletion in protein kinase homology domain and NPRB3 contains a partial extracellular ligand binding domain and fails to bind the ligand. The relative expression levels of the three isoforms vary across different tissues. Since, the smaller splice variants of NPRB act as dominant negative isoforms by blocking formation of active NPRB1 homodimers, these isoforms might play important role in the tissue specific regulation of receptor, NPRB.

The NPRC expression has also been found to be down-regulated by its ligands and their secondary messenger, cGMP, hormones, growth factors, dietary salt supplementation, β-adrenergic blocker, and physiological as well as patho-physiological conditions. On the other hand, NPRC expression gets augmented by TGF-β1, 1,25-dihydroxy VitaminD3 and during conditions like chronic heart failure.

Hypertension is the leading cause of human deaths in today’s world. The natriuretic peptide system plays a well defined role in the regulation of blood pressure and fluid volume. The cellular and physiological effects of natriuretic peptides (ANP, BNP, and CNP) are mediated by their specific receptors NPRA, NPRB, and NPRC. The transcriptional regulation of these receptors has been studied since their identification, but still remains poorly understood. Better understanding and the elucidation of different molecular mechanisms responsible for the regulation of NPRA expression would provide us the framework to develop the therapeutic strategies to manipulate the expression levels of this receptor and to control the biological actions of ANP and BNP during different patho-physiological conditions.

Inhibition of Heat Shock Protein 90 (Hsp90) in Proliferating Endothelial Cells Uncouples Endothelial Nitric Oxide Synthase Activity

Jingsong Ou, Zhijun Ou, AW Ackerman, KT Oldham, & KA Pritchard, Jr.
Free Radical Biol Med 2003; 34(2):269–276
PII S0891-5849(02)01299-6

Dual increases in nitric oxide (•NO) and superoxide anion (O2•-) production are one of the hallmarks of endothelial cell proliferation. Increased expression of endothelial nitric oxide synthase (eNOS) has been shown to play an important role in maintaining high levels of •NO generation to offset the increase in O2•- that occurs during proliferation. Although recent reports indicate that heat shock protein 90 (hsp90) associates with eNOS to increase •NO generation, the role of hsp90 association with eNOS during endothelial cell proliferation remains unknown. In this report, we examine the effects of endothelial cell proliferation on eNOS expression, hsp90 association with eNOS, and the mechanisms governing eNOS generation of •NO and O2•-. Western analysis revealed that endothelial cells not only increased eNOS expression during proliferation but also hsp90 interactions with the enzyme. Pretreatment of cultures with radicicol (RAD, 20 µM), a specific inhibitor that does not redox cycle, decreased A23187-stimulated •NO production and increased Lω-nitroargininemethylester (L-NAME)-inhibitable O2•-generation. In contrast, A23187 stimulation of controls in the presence of L-NAME increased O2•- generation, confirming that during proliferation eNOS generates •NO. Our findings demonstrate that hsp90 plays an important role in maintaining •NO generation during proliferation. Inhibition of hsp90 in vascular endothelium provides a convenient mechanism for uncoupling eNOS activity to inhibit •NO production. This study provides new understanding of the mechanisms by which ansamycin antibiotics inhibit endothelial cell proliferation. Such information may be useful in the development and design of new antineoplastic agents in the future.

Natriuretic Peptides, Ejection Fraction, and Prognosis – Parsing the Phenotypes of Heart Failure

James L. Januzzi, JR
J Amer Coll Cardiol 2013; 61(14): 1507-9
http://dx.doi.org/10.1016/j.jacc.2013.01.039

Since the first pivotal studies introduced the natriuretic peptides as biomarkers for the diagnosis of heart failure (HF), use of both B-type natriuretic peptide (BNP) and its N-terminal equivalent (NT-proBNP) has grown not only for this indication, but also for establishing HF prognosis as well. Indeed, a vast array of studies has established the natriuretic peptides as the biomarker gold standard to prognosticate risk for a wide array of relevant complications in HF (ranging from ventricular arrhythmias to pump failure). In these studies, the prognostic information provided by BNP and NT-proBNP in HF was independent of a number of relevant covariates, including left ventricular ejection fraction (LVEF).

It has been known for quite a while that patients with heart failure and preserved ejection fraction (HFpEF) typically have lower natriuretic peptide values than do those with heart failure and reduced ejection fraction (HFrEF). A conundrum is thus present: whereas both BNP and NTproBNP tend to be lower in HFpEF, when these peptides are elevated in this setting, they remain prognostic; this intriguing circumstance has been relatively poorly studied. It is in this setting that van Veldhuisen et al. examined the impact of LVEF on the prognostic merits of BNP in the COACH (Coordinating Study Evaluating Outcomes of Advising and Counseling in Heart Failure) study in the present issue of the Journal. The investigators found—as expected—that BNP levels were lower in HFpEF, but for a given BNP concentration, prognosis of those with HFpEF in COACH was just as poor as those with HFrEF at matched BNP values. Stated differently, a high BNP in a patient with HFpEF imparted similar prognostic information as it would in someone with HFrEF. Actually, whereas LVEF was not obviously prognostically impactful, when considered across the range of ventricular function, an elevated BNP concentration in the most normal range of LVEF seemed to be associated with a higher risk than at the lower ranges of pump function. Although it is previously established that BNP or NT-proBNP are prognostic independently of LVEF, the well-executed analysis by van Veldhuisen et al. (van Veldhuisen DJ, Linssen GCM, Jaarsma T, et al. B-type natriuretic peptide and prognosis in heart failure patients with preserved and reduced ejection fraction. J Am Coll Cardiol 2013;61:1498–506.) allows for a more in-depth examination of this phenomenon and raises some important questions.

Phenotypic Definition of the Patient With Heart Failure

Phenotypic Definition of the Patient With Heart Failure

Phenotypic Definition of the Patient With Heart Failure

Natriuretic Peptides in Heart Failure with Preserved Ejection Fraction

Mark Richards, James L. Januzzi Jr, Richard W. Troughton
Heart Failure Clin 10 (2014) 453–470
http://dx.doi.org/10.1016/j.hfc.2014.04.006

KEY POINTS

  • Threshold values of B-type natriuretic peptide (BNP) and N-terminal prohormone B-type natriuretic peptide (NT-proBNP) validated for diagnosis of undifferentiated acutely decompensated heart failure (ADHF) remain useful in patients with heart failure with preserved ejection fraction (HFPEF), with minor loss of diagnostic performance.
  • BNP and NT-proBNP measured on admission with ADHF are powerfully predictive of in-hospital mortality in both HFPEF and heart failure with reduced EF (HFREF), with similar or greater risk in HFPEF as in HFREF associated with any given level of either peptide.
  • In stable treated heart failure, plasma natriuretic peptide concentrations often fall below cut-point values used for the diagnosis of ADHF in the emergency department; in HFPEF, levels average approximately half those in HFREF.
  • BNP and NT-proBNP are powerful independent prognostic markers in both chronic HFREF and chronic HFPEF, and the risk of important clinical adverse outcomes for a given peptide level is similar regardless of left ventricular ejection fraction.
  • Serial measurement of BNP or NT-proBNP to monitor status and guide treatment in chronic heart failure may be more applicable in HFREF than in HFPEF.

 

The bioactivity of atrial NP (ANP) and B-type NP (BNP) encompasses short-term and longterm hemodynamic, renal, neurohormonal, and trophic effects. The relationship between cardiac hemodynamic load, plasma concentrations of ANP and BNP, and the cardioprotective profile of NP bioactivity have led to investigation of both biomarker and therapeutic potential of

NPs in HF.

PlasmaBNPandNT-proBNP thresholds (100pg/mL and 300 pg/mL, respectively) used in the diagnosis of undifferentiated ADHF retain good diagnosticperformance for acute HFPEF

 

Plasma NPs are related to multiple echo indicators of cardiac structure and function in both HFREF and HFPEF.
Box 1Causes of increased plasma cardiac natriuretic peptides

Cardiac

Heart failure, acute and chronic

Acute coronary syndromes

Atrial fibrillation

Valvular heart disease

Cardiomyopathies

Myocarditis

Cardioversion

Left ventricular hypertrophy

Noncardiac

Age

Female sex

Renal impairment

Pulmonary embolism

Pneumonia (severe)

Obstructive sleep apnea

Critical illness

Bacterial sepsis

Severe burns

Cancer chemotherapy

Toxic and metabolic insults

 

BNP and NT-proBNP fall below ADHF thresholds in stable HFREF in approximately 50% and 20% of cases, respectively. Levels in stable HFPEF are even lower, approximately half those in HFREF.
Whereas BNPs have 90% sensitivity for asymptomatic LVEF of less than 40% in the community (a precursor state for HFREF), they offer no clear guide to the presence of early community based HFPEF.
Guidelines recommend BNP and NT-proBNP as adjuncts to the diagnosis of acute and chronic HF and for risk stratification. Refinements for application to HFPEF are needed.
The prognostic power of NPs is similar in HFREF and HFPEF. Defined levels of BNP and NT-proBNP correlate with similar short-term and long-term risks of important clinical adverse outcomes in both HFREF and HFPEF.
Diagnostic algorithm for suspected heart failure presenting either acutely or nonacutely

Diagnostic algorithm for suspected heart failure presenting either acutely or nonacutely

Diagnostic algorithm for suspected heart failure presenting either acutely or nonacutely. a In the acute setting, mid-regional pro–atrial natriuretic peptide may also be used (cutoff point 120 pmol/L; ie, <120 pmol/L 5 heart failure unlikely). b Other causes of elevated natriuretic peptide levels in the acute setting are an acute coronary syndrome, atrial or ventricular arrhythmias, pulmonary embolism, and severe chronic obstructive pulmonary disease with elevated right heart pressures, renal failure, and sepsis. Other causes of an elevated natriuretic level in the nonacute setting are old age (>75 years), atrial arrhythmias, left ventricular hypertrophy, chronic obstructive pulmonary disease, and chronic kidney disease. c Exclusion cutoff points for natriuretic peptides are chosen to minimize the false-negative rate while reducing unnecessary referrals for echocardiography. d Treatment may reduce natriuretic peptide concentration, and natriuretic peptide concentrations may not be markedly elevated in patients with heart failure with preserved ejection fraction. BNP, B-type natriuretic peptide; ECG, electrocardiogram; NT-proBNP, N-terminal prohormone of B-type natriuretic peptide. (From McMurray JJ, Adamopoulos S, Anker SD, et al. The task force for the diagnosis and treatment of acute and chronic heart failure 2012 of the European Society of Cardiology. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012. Eur Heart J 2012;33:1787–847; with permission.)

Natriuretic Peptide Receptor-A Negatively Regulates Mitogen-Activated Protein Kinase and Proliferation of Mesangial Cells: Role of cGMP-Dependent Protein Kinase

Kailash N. Pandey, Houng T. Nguyen, Ming Li, and John W. Boyle
Biochem Biophys Res Commun 271, 374–379 (2000)
http://dx.doi.org:/10.1006/bbrc.2000.2627

peptide (ANP) and its guanylyl cyclase/natriuretic peptide receptor-A (NPRA) on mitogen-activated protein kinase/extracellular signal-regulated kinase 2 (MAPK/ERK2) activity in rat mesangial cells overexpressing NPRA. Agonist hormones such as platelet-derived growth factor (PDGF), fibroblast growth factor (FGF), angiotensin II (ANG II), and endothelin-1 (ET-1) stimulated 2.5- to 3.5-fold immunoreactive MAPK/ERK2 activity in these cells. ANP inhibited agonist-stimulated activity of MAPK/ERK2 by 65–75% in cells overexpressing NPRA, whereas in vector transfected cells, its inhibitory effect was only 18–20%. NPRA antagonist A71915 and KT5823, a specific inhibitor of cGMP-dependent protein kinase (PKG) completely reversed the inhibitory effect of ANP on MAPK/ERK2 activity. ANP also inhibited the PDGF stimulated [3H]thymidine uptake by almost 70% in cells overexpressing NPRA, as compared with only 20–25% inhibition in vector-transfected cells. These
results demonstrate that ANP/NPRA system negatively regulates MAPK/ERK2 activity and proliferation of mesangial cells in a PKG-dependent manner.

 

Regulation of lipoprotein lipase by Angptl4

Wieneke Dijk and Sander Kersten
Trends in Endocrin and Metab, Mar2014; 25(3):146-155
http://dx.doi.org/10.1016/j.tem.2013.12.005

Triglyceride (TG)-rich chylomicrons and very low density lipoproteins (VLDL) distribute fatty acids (FA) to various tissues by interacting with the enzyme lipoprotein lipase (LPL). The protein angiopoietin-like 4 (Angptl4) is under sensitive transcriptional control by FA and the FA-activated peroxisome proliferator activated receptors (PPARs), and its tissue expression largely overlaps with that of LPL. Growing evidence indicates that Angptl4 mediates the physiological fluctuations in LPL activity, including the decrease in
adipose tissue LPL activity during fasting. This review focuses on the major ambiguities concerning the mechanism of LPL inhibition by Angptl4, as well as on the physiological role of Angptl4 in lipid metabolism, highlighting its function in a variety of tissues, and uses this information to make suggestions for further research.

Box 1. LPL and TG metabolism

LPL belongs to a family of lipases that also includes hepatic lipase, pancreatic lipase, and endothelial lipase. Because LPL is essential in the lipolytic processing of chylomicrons and VLDL, LPL is primarily expressed in tissues that either require large amounts of FA as fuel or are responsible for TG storage, which include heart, skeletal muscle, and adipose tissue. Upon production by the underlying parenchymal cells, LPL is released into the subendothelial space and is transported to the luminal side of the capillary endothelium by the GPI-anchored protein GPIHBP1, which after transport continues to anchor LPL to the capillary endothelium. The essential role for LPL in the clearance of plasma TG is well-demonstrated by the severe hypertriglyceridemia of patients carrying homozygous mutations in the LPL gene. Generalized deletion of LPL in mice results in severe hypertriglycer-idemia, resulting in the premature death of pups within 24 h after birth. Analogous to the deletion of LPL, the mislocalization of LPL to the subendothelial spaces due the absence or misfolding of GPIHBP1 also results in severe chylomicronemia and hypertriglyceridemia. The LPL enzyme is catalytically active as a non-covalent head-to-tail dimer with a catalytic N-terminal domain and a non-catalytic C terminal domain. Folding of LPL into its dimer conformation occurs in the endoplasmic reticulum, chaperoned by lipase maturation factor 1, calreticulin, and calnexin. In its active 3D conformation, the catalytic site of LPL is postulated to be covered by a lid, which can be opened by the binding of chylomicrons and VLDL to the C terminus. The active LPL dimers rapidly exchange subunits, indicating that a dynamic equilibrium exists between LPL dimers and dimerization-competent monomers. Dimerization-competent monomers have, however, not yet been isolated, and it is unclear whether this monomer is catalytically active. The enzymatic activity of LPL is lost when the LPL dimer is converted into inactive, folded monomers. This conversion to inactive monomers is mainly regulated via post-translational mechanisms and is dependent on nutritional state. Enzymatic activity of inactive monomers can be regained in vitro by the addition of calcium, indicating that inactivation of LPL is a reversible process.

One of the key questions is whether (patho)physiological variations in LPL activity are mediated via regulation of Angptl4 cleavage and/or oligomerization, and which factors are involved in modulating Angptl4 in vivo. Recent biochemical evidence suggests that FA may be able to promote dissociation of oligomers, which, by destabilizing the protein, would impair its ability to inhibit LPL. Destabilization of Angptl4 by FA is, however, seemingly at odds with the marked stimulatory effect of FA on Angptl4 production observed in vitro and in vivo.

The currently accepted molecular model for the inhibition of LPL by Angptl4 is that Angptl4 stimulates the conversion of catalytically active LPL dimers into inactive monomers – following in vitro studies showing that coincubation of LPL and Angptl4 increases the abundance of LPL monomers. Subsequent studies revealed that the proportion of LPL dimers is reduced in post-heparin plasma of mice that overexpress Angptl4 in favor of LPL monomers, providing in vivo support for the dimer-to monomer conversion. The elucidation of the purported biochemical mechanism has strengthened the status of Angptl4 as a LPL inhibitor, but several questions related to the in vivo mechanism remain unanswered. Whereas the original in vitro experiments favored the hypothesis that Angptl4 enzymatically and irreversibly catalyzes the LPL dimer-to-monomer conversion, an in vivo study of Angptl4 transgenic mice suggested that Angptl4 is physically bound to LPL monomers, thereby driving the LPL dimer–monomer equilibrium towards inactive monomers. The latter study also revealed that the relative decrease in post-heparin plasma LPL activity upon Angptl4 overexpression is much more pronounced than the relative decrease in heparin-releasable LPL dimers, pointing to an additional or alternative mechanism. In support, a recently published study suggests that Angptl4, instead of acting as a catalyst, functions as a conventional, non-competitive inhibitor that binds to LPL to prevent the hydrolysis of substrate LPL and Angptl4 are regulated by changes in nutritional state in a tissue-specific manner, reflecting the different functions of these tissues and the corresponding variations in physiological requirements for lipids. Below, we discuss current knowledge on the regulation of Angptl4 and LPL in response to various physiological stimuli and address the importance of Angptl4 in lipid uptake. An overview of the role of Angptl4 in physiological regulation of lipid metabolism is presented in Figure 2.

model for mechanisms of lipoprotein lipase (LPL) inhibition by Angptl4.

model for mechanisms of lipoprotein lipase (LPL) inhibition by Angptl4.

Figure 1. Hypothetical model for mechanisms of lipoprotein lipase (LPL) inhibition by Angptl4. Angiopoietin-like 4 (Angptl4) and LPL are expressed in the parenchymal cells of muscle, heart, and adipose tissue. Following secretion of LPL and Angptl4 into the subendothelial space, transport of LPL to the capillary lumen is mediated by two mechanisms. The principal transport mechanism (1) relies on GPIHBP1 [glycosylphosphatidylinositol (GPI)-anchored high density lipoprotein-binding protein] picking up LPL from the subendothelial space and transporting it to the capillary lumen. This action by GPIHBP1 is opposed by Angptl4, which is bound to extracellular matrix (ECM) proteins and which retains and inhibits LPL. In the presence of GPIHBP1, high expression levels of Angptl4 are needed to overcome the competition with GPIHBP1. Angptl4 secreted into the capillary lumen, primarily as N-terminal truncation fragment generated by cleavage by proprotein convertases (PCs), inhibits LPL activity on the endothelium by promoting the irreversible conversion of LPL dimers into inactive monomers and/or via a reversible mechanism that requires binding of Angptl4 to LPL. The second transport mechanism involves a so far unidentified carrier and can be disrupted by Angptl4. In the absence of GPIHBP1, Angptl4 fully retains LPL in the subendothelial space (a). The additional loss of Angptl4 liberates LPL and allows it to be transported to the endothelial surface via the unidentified carrier (b). This model suggests that Angptl4 and LPL start interacting before arrival in the capillary lumen, either in the parenchymal cells or in the subendothelial space. Abbreviation: HSPG, heparan sulfate proteoglycan.

Regulation and role of angiopoietin-like 4 (Angptl4)

Regulation and role of angiopoietin-like 4 (Angptl4)

Figure 2. Regulation and role of angiopoietin-like 4 (Angptl4) in lipid metabolism. Angptl4 is expressed in parenchymal cells of white adipose tissue (WAT), liver, intestine, heart and muscle, as well as in macrophages, where it is subject to cell- and tissue-specific regulation. Angptl4 is a sensitive target of peroxisome proliferator-activated receptor (PPAR) transcription factors in several tissues. In WAT the expression of Angptl4 is induced during fasting and by the transcription factors PPARg, glucocorticoid receptor (GR), and hypoxia inducible factor 1a (HIF1a). In WAT Angptl4 stimulates lipolysis of stored triglycerides (TG) and inhibits lipoprotein lipase (LPL) activity. Expression of Angptl4 in liver is stimulated by PPARa, PPARd, and GR. Because the liver does not express LPL, Angptl4 is mainly released into the blood, affecting LPL activity in peripheral tissues. Angptl4 may also impact upon hepatic lipase activity in liver. Expression of Angptl4 in heart and skeletal muscle is potently induced by fatty acids (FA) via PPARd activation. Angptl4 inhibits LPL activities in cardiac and likely skeletal muscle. FA also stimulate Angptl4 expression in macrophages via PPARd, leading to local inhibition of LPL activity. We hypothesize that macrophage LPL enables uptake of remnant particles containing lipid antigens, which are subsequently presented to natural killer T cells. In the intestine, FA stimulate Angptl4 expression via one of the PPARs. Angptl4 produced by enterocytes may be released towards the lumen and inhibit pancreatic lipase activity. Angptl4 produced by enteroendocrine cells is released towards the blood and may inhibit LPL in distant tissues.

Box 2. Outstanding questions

  1. What is the importance of Angptl4 cleavage and oligomerization to Angptl4 function in vivo?
  2. What is the precise biochemical mechanism behind the inhibition of LPL activity by Angptl4?
  3. At which cellular location(s) does the inhibition of LPL by Angptl4 occur and, if at multiple locations, what is the relative contribution of both tissue-produced Angptl4 compared to circulating Angptl4 with respect to inhibition of tissue LPL activity.
  4. What is the interplay between GPIHBP1 and Angptl4 in the regulation of LPL activity?
  5. What is the protein structure of Angptl4 and LPL?
  6. Does Angptl4 also regulate LPL activity in brown adipose tissue and skeletal muscle and, if so, how is the expression of Angptl4 regulated in these tissues?
  7. What is the potential of Angptl4 as a biomarker in the context of disorders of lipid metabolism?

In the past decade, angiopoietin-like proteins have been demonstrated to regulate plasma TG levels powerfully in mice and humans. The elucidation of these proteins as inhibitors of LPL activity has led to a paradigm shift in how clearance of circulating TG and thereby tissue uptake of FA are regulated. Most of our understanding of angiopoietin-like proteins has resulted from detailed study of Angptl4.

A major portion of the physiological variation in LPL activity in various tissues can be attributed to regulation of Angptl4 production. We predict that Angptl4 will turn out to be equally important for governing LPL activity in muscle during exercise, in brown adipose tissue during cold, and in several tissues during fasting.

Besides the increasing recognition of the pivotal role of Angptl4 in lipid metabolism as an inhibitor of LPL, major insight has been gained into the molecular mechanism of action of Angptl4. Key questions remain, however, especially related to the interaction between LPL, GPIHBP1, and Angptl4 on the endothelium and in the subendothelial space. Several points of interest have been highlighted throughout the text; these include the elucidation of the molecular structure for LPL and Angptl4 by X-ray crystallography and the clarification of in vivo Angptl4 cleavage and oligomerization.

Native Low-Density Lipoprotein Induces Endothelial Nitric Oxide Synthase Dysfunction: Role of Heat Shock Protein 90 And Caveolin-1

Kirkwood A. Pritchard, Jr., Allan W. Ackerman, Jingsong Ou, et al.
Free Radical Biol & Med 2002; 33(1):52–62 PII S0891-5849(02)00851-1

Although native LDL (n-LDL) is well recognized for inducing endothelial cell (EC) dysfunction, the mechanisms remain unclear. One hypothesis is n-LDL increases caveolin-1 (Cav-1), which decreases nitric oxide (•NO) production by binding endothelial nitric oxide synthase (eNOS) in an inactive state. Another is n-LDL increases superoxide anion (O2•-), which inactivates •NO. To test these hypotheses, EC were incubated with n-LDL and then analyzed for •NO, O2•-, phospho-eNOS (S1179), eNOS, Cav-1, calmodulin (CaM), and heat shock protein 90 (hsp90). n-LDL increased NOx by more than 4-fold while having little effect on A23187-stimulated nitrite production. In contrast, n-LDL decreased cGMP under basal and A23187-stimulated conditions and increased O2•-by a mechanism that could be inhibited by L-nitroargininemethylester (L-NAME) and BAPTA/AM. n-LDL increased phospho-eNOS by 149%, eNOS by [1]34%, and Cav-1 by 28%, and decreased the association of hsp90 with eNOS by 49%. n-LDL did not appear to alter eNOS distribution between membrane fractions (-85%) and cytosol (-15%). Only 3–6% of eNOS in membrane fractions was associated with Cav-1. These data support the hypothesis that n-LDL increases O2•-, which scavenges •NO, and suggest that n-LDL uncouples eNOS activity by decreasing the association of hsp90 as an initial step in signaling eNOS to generate O2•-.

In conclusion, n-LDL decreases the association of hsp90 with eNOS, increases phospho-eNOS levels, and increases eNOS-dependent O2•-generation. These findings suggest that activation of eNOS without adequate levels of hsp90 may signal eNOS to switch from •NO to O2•-generation. Such changes in eNOS radical product generation may play an important role in impairing endothelial and vascular function.

New insights into IGF-1 signaling in the heart

Rodrigo Troncoso, C Ibarra, JM Vicencio, E Jaimovich, and S Lavandero
Trends in Endocrin and Metab, Mar 2014; 25(3):128-131
http://dx.doi.org/10.1016/j.tem.2013.12.002

Insulin-like growth factor 1 (IGF-1) signaling regulates contractility, metabolism, hypertrophy, autophagy, senescence, and apoptosis in the heart. IGF-1 deficiency is associated with an increased risk of cardiovascular disease, whereas cardiac activation of IGF-1 receptor (IGF-1R) protects from the detrimental effects of a high-fat diet and myocardial infarction. IGF-1R activates multiple pathways through its intrinsic tyrosine kinase activity and through coupling to heterotrimeric G protein. These pathways involve classic second messengers, phosphorylation cascades, lipid signaling, Ca2+ transients, and gene expression. In addition, IGF-1R triggers signaling in different subcellular locations including the plasma membrane, perinuclear T tubules, and also in internalized vesicles. In this review, we provide a fresh and updated view of the complex IGF-1 scenario in the heart, including a critical focus on therapeutic strategies.

The hormone insulin-like growth factor 1 (IGF-1) is a small peptide of 7.6 kDa, which is composed of 70 amino acids and shares 50% homology with insulin. IGF-1 plays key roles in regulating proliferation, differentiation, metabolism, and cell survival. It is mainly synthesized and secreted by the liver in response to hypothalamic growth hormone (GH); its plasma concentration is finely regulated (Box 1). However, other tissues also produce IGF-1, which acts locally as an autocrine and paracrine hormone. IGF-1 exhibits pleiotropic effects in many organs and is also involved in the development of several pathologies.

Box 1. IGF-1 synthesis and biodisponibilityInsulin-like growth factor 1 (IGF-1) is a 70 amino acid peptide

hormone with endocrine, paracrine, and autocrine effects. It shares

>60% structure homology with IGF-2 and 50% with pro-insulin. IGF-

1 is mainly synthesized in the liver in response to hypothalamic

growth hormone (GH). In the peripheral circulation it exerts negative

feedback on the somatotrophic axis suppressing pituitary GH

release. IGF-1 can also be generated in almost all tissues, but liver

synthesis accounts for nearly 75% of circulating IGF-1 levels. As a

hormone with a wide range of physiological roles, IGF-1 circulating

levels must be strictly controlled. Around 98% of circulating IGF-1 is

bound to insulin-like growth factor binding protein (IGFBP). Six

forms of high affinity IGFBP have been described, with IGFBP3

binding approximately 90% of circulating IGF-1. Also, IGFBP1–6 and

their fragments have significant intrinsic biological activity independent

of IGF-1 interaction.

Canonical and noncanonical IGF-1 signaling pathways Activation of IGF-1R requires the sequential phosphorylation of three conserved tyrosine residues within the activation loop of the catalytic domain. From these phosphorylated motifs, tyrosine 950 contained in an NPXY motif provides a docking site for the recruitment of adaptor proteins, such as insulin receptor substrate-1 (IRS-1) and Shc, as an obligatory step to initiate signaling cascades. Two canonical pathways are activated by IGF-1R in cardiomyocytes – the phosphatidylinositol-3 kinase (PI3K)/Akt pathway and the extracellular signal-regulated kinase (ERK) pathway. Both pathways have been extensively studied, and their involvement in the pro-hypertrophic and pro-survival actions in cardiomyocytes is well established. Interestingly, a noncanonical signaling mechanism for IGF-1R in cardiomyocytes has been described in several recent studies. These studies show that some of the effects of IGF-1 are inhibited by the heterotrimeric Gi protein blocker Pertussis toxin (PTX) in several cell lines, suggesting that IGF-1R is a dual-activity receptor that triggers tyrosine-kinase-dependent responses as well as Gi-protein-dependent pathways. This duality has been reported in cultured neonatal cardiomyocytes; IGF-1R can activate ERK and Akt but also phospholipase C (PLC), which increases inositol 1,4,5 triphosphate (InsP3; IP3) leading to nuclear Ca2+ signals.

The cardiac effects of IGF-1 are mediated by activation of the plasma membrane IGF-1R, which belongs to the receptor tyrosine kinase (RTK) family. IGF-1R comprises a α2β2 heterotetrameric complex of approximately 400 kDa. Structurally, IGF-1R has two extracellular a-subunits that contain the ligand-binding sites. Each α-subunit couples to one of two membrane-spanning β-subunits, which contain an intracellular domain with intrinsic tyrosine kinase activity. Both subunits of IGF-1R are the product of one single gene, which is synthesized as a 180 kDa precursor. The immature IGF-1R full peptide is further glycosylated, dimerized, and proteolytically processed for assembly of the mature receptor isoforms a and b. In neonatal and adult rat cardiomyocytes, the IGF-1R precursor peptide and the processed α and β receptor subunits have been detected. Binding of IGF-1 to its receptor initiates a complex signaling cascade in cardiomyocytes.

Figure 1. not shown. Canonical and noncanonical signaling pathways activated by insulin-like growth factor 1 (IGF-1) in cardiomyocytes. Binding of IGF-1 to plasma membrane IGF-1 receptor (IGF-1R) leads to receptor autophosphorylation in the intracellular β-subunits. Docking of Grβ2 to the phosphorylated IGF-1Rβ subunits leads to extracellular signal-regulated kinase (ERK) phosphorylation through the Ras/Raf/Mitogen-activated protein kinase (MEK) axis. Phosphorylated ERK can translocate to the nucleus to control gene expression. Phosphorylated β-subunits also provide docking sites for insulin receptor substrate-1 (IRS-1), which mediates phosphatidylinositol-3 kinase (PI3K) activation and Akt phosphorylation. Downstream targets of activated Akt are mechanistic target of rapamycin (mTOR), which suppresses autophagy and promotes protein synthesis by activating S6K and eukaryotic translation initiation factor 4E binding protein 1 (4EBP1). Akt also phosphorylates and inactivates Bad, thus inhibiting apoptosis. IGF-1R activation also promotes its interaction with a Pertussis-toxin-sensitive heterotrimeric Gi protein, which mediates the activation of phospholipase C (PLC) and hydrolysis of plasma membrane phosphatidylinositol 4,5 biphosphate (PIP2) to form inositol 1,4,5 triphosphate (InsP3; IP3) which activates InsP3 receptors located at the endoplasmin reticulum (ER)/nuclear envelope Ca2+ store, producing nucleoplasmic and cytoplasmic Ca2+ increases. The former is involved in the regulation of specific target genes and the latter promotes mitochondrial Ca2+ uptake, which increases mitochondrial respiration and metabolism, further preventing apoptosis and regulating autophagy. Canonical signaling pathways include the ERK and Akt axes, and are shown in red, whereas the noncanonical G protein pathway is shown in blue. Both pathways interact as Ca2+ contributes to ERK activation and additionally both Akt and ERK can compensate each other’s activation. Abbreviations: MEK, Mitogen-activated protein kinase; mTOR, mechanistic target of rapamycin; 4EBP1, eukaryotic translation initiation factor 4E binding protein 1; PIP2, phosphatidylinositol 4,5 biphosphate.

Figure 2. not shown. Classical versus proposed models of nuclear Ca2+ signaling in cardiomyocytes. The insulin-like growth factor 1 receptor (IGF-1R) can specifically regulate nuclear Ca2+ signaling independently of the role of Ca2+ on excitation–contraction coupling. On the classic model, inositol 1,4,5 triphosphate (InsP3; IP3) produced after IGF-1R activation travels from the peripheral plasma membrane to the nucleus, where it activates InsP3 receptors. In this model InsP3 bypasses its receptors present on the sarcoplasmic reticulum, which would lead to cytosolic Ca2+ signals. The novel model that we propose is based on recent findings, where the IGF-1R signaling complex is present in T-tubule invaginations toward the nucleus. In these compartments, IGF-1R activation leads to locally restricted InsP3 production that allows nuclear Ca2+ signals to regulate gene expression of genes associated with the development of cardiomyocyte hypertrophy. Abbreviations: RyR, ryanodine receptor; ECC, excitation–contraction coupling; PLC, phospholipase C; DHPR, dihydropyridine receptor.

The beneficial roles of IGF-1 in the cardiovascular system largely explain the interest in the development of new IGF-1-based treatments for cardiovascular disease. So far the FDA has approved two drugs for the treatment of IGF-1 deficiency: mecasermin (Increlex1), a human recombinant IGF-1 analog; and mecasermin rinfabate (IPLEX1), a binary protein complex of human recombinant IGF-1 and human recombinant IGBP-3. The safety of a chronic systemic IGF-1 therapy is open to question because it could promote severe adverse effects, such as an increased risk of cancer. To avoid these problems, several researchers have selectively overexpressed IGF-1 and IGF-1R in the heart.

Box 2. Outstanding questionsInsulin-like growth factor 1 (IGF-1) is an old friend of the heart. Despite the well-known protective effects of IGF-1 on cardiac function and the antiapoptotic effects of this peptide, novel evidence opens new questions to this longstanding relationship.

·       How do the multiple signaling pathways triggered by IGF-1 receptor (IGF-1R) interact with each other?

·       What lies further than extracellular signal-regulated kinase (ERK)/Akt/Ca2+ activation toward heart function?

·       Do these signaling pathways regulate cardiac fibroblast or endothelial cell function?

·       Which are the specific downstream signaling pathways of the different pools of IGF-1R and their role in regulating cardiomyocyte survival, hypertrophy, metabolism, proliferation?

·       What drives IGF-1R to such specific subcellular compartments?

·       What is the relevance of the hybrid IGF-1R/insulin receptors on cardiovascular disease?

·       Does a crosstalk exist between insulin receptor and IGF-1R in the heart under physiological and pathological conditions?

·       Is one pathway more beneficial than the other?

·       Will stem cell therapy of cardiac progenitors be able to provide concrete treatment opportunities?

·       Is IGF-1 a key regulator of this outcome?

Abundant evidence supports the key physiological roles of IGF-1 in the heart. In cardiomyocytes, IGF-1 activates multiple downstream signaling pathways for controlling cell death, metabolism, autophagy, differentiation, transcription, and protein synthesis (Figure 1). Of great interest are the findings that the entire IGF-1R complex is strategically located in perinuclear sarcolemmal invaginations that locally control nuclear Ca2+ signaling and transcriptional upregulation (Figure 2). This novel evidence changesmthe classical paradigm of IGF-1 signaling and adds a new level of complexity that may be relevant for other signaling receptors in the heart: interorganelle communication between plasma membrane invaginations and the nucleus.
The strategic localization of IGF-1R in these structures and the association with heterotrimeric G proteins may explain the differences in the phenotypic response induced by IGF-1 and others agonists, like endothelin-1 and angiotensin II, that also signal through intracellular Ca2+. By activating a noncanonical, selective mechanism of nuclear Ca2+ release, IGF-1 can regulate the expression of a specific set of cardiac genes via the generation of a particular signal-encoding pattern, leading to adaptive cardiac hypertrophy, antiapoptotic effects, and metabolic adaptation.

Pulmonary Hypertension in Heart Failure with Preserved Ejection Fraction – any Pathophysiological Role of Mitral Regurgitation

Marco Guazzi
http://dx.doi.org:/10.1016/j.jacc.2009.04.088

read with interest the study by Lam et al. (1) as an important contribution to the pathophysiological and clinical impact of pulmonary hypertension (PH) in hypertensive patients with heart failure and preserved left ventricular ejection fraction (HFpEF). Recent guidelines on arterial PH recognize HFpEF as a growing cause of left-sided PH, but a definitive appreciation of its true prevalence and prognostic relevance is lacking. The present study provides some new important information on this subject.

It is noteworthy that HFpEF was associated, in a high rate of cases (83%), with a typical hemodynamic pattern of precapillary PH, and a strong correlation was found between pulmonary artery systolic pressure and pulmonary capillary wedge pressure. Most important, pulmonary artery systolic pressure, rather than other echocardiography-derived measures of diastolic dysfunction, was the only significant multivariate predictor of mortality, a finding that was confirmed even when combined comorbid diseases potentially contributing to PH development, such as chronic obstructive pulmonary disease, were taken into account.

In patients with systolic heart failure, a major determinant of PH development is mitral regurgitation. Whether mitral regurgitation could be a putative factor in the pathogenesis of PH in HFpEF patients remains an open and intriguing question.

Accordingly, it would be of interest if the authors could provide some details on how many HFpEF patients exhibited mitral regurgitation, especially in comparison with control hypertensive patients without HFpEF.

Lam CSP, Roger VL, Rodeheffer RJ, Borlaug BA, Enders FT, Redfield MM. Pulmonary hypertension in heart failure with preserved ejection fraction: a community-based study. J Am Coll Cardiol 2009; 53:1119–23.

Midregion Prohormone Adrenomedullin and Prognosis in Patients Presenting with Acute Dyspnea Results from the BACH (Biomarkers in Acute Heart Failure) Trial

Alan Maisel, MD, Christian Mueller, Richard M. Nowak,W. Frank Peacock, et al.
J Am Coll Cardiol 2011; 58(10):1057–67
http://dx.doi.org:/10.1016/j.jacc.2011.06.006

Objectives The aim of this study was to determine the prognostic utility of midregion proadrenomedullin (MR-proADM) in all patients, cardiac and noncardiac, presenting with acute shortness of breath.
Background
The recently published BACH (Biomarkers in Acute Heart Failure) study demonstrated that MR-proADM had superior accuracy for predicting 90-day mortality compared with B-type natriuretic peptide (area under the curve: 0.674 vs. 0.606, respectively, p < 0.001) in acute heart failure.
Methods The BACH trial was a prospective, 15-center, international study of 1,641 patients presenting to the emergency department with dyspnea. Using this dataset, the prognostic accuracy of MR-proADM was evaluated in all patients enrolled for predicting 90-day mortality with respect to other biomarkers, the added value in addition to clinical variables, as well as the added value of additional measurements during hospital admission.
Results Compared with B-type natriuretic peptide or troponin, MR-proADM was superior for predicting 90-day all-cause mortality in patients presenting with acute dyspnea (c index = 0.755, p < 0.0001). Furthermore, MR-proADM added significantly to all clinical variables (all adjusted hazard ratios: HR=3.28), and it was also superior to all other biomarkers. MRproADM added significantly to the best clinical model (bootstrap-corrected c index increase: 0.775 to 0.807; adjusted standardized hazard ratio: 2.59; 95% confidence interval: 1.91 to 3.50; p < 0.0001). Within the model, MR-proADM was the biggest contributor to the predictive performance, with a net reclassification improvement of 8.9%. Serial evaluation of MR-proADM performed in patients admitted provided a significant added value compared with a model with admission values only (p< 0.0005). More than one-third of patients originally at high risk could be identified by the biomarker evaluation at discharge as low-risk patients. Conclusions MR-proADM identifies patients with high 90-day mortality and adds prognostic value to natriuretic peptides in patients presenting with acute shortness of breath. Serial measurement of this biomarker may also prove useful for monitoring, although further studies will be required. (Biomarkers in Acute Heart Failure [BACH]; NCT00537628)

Invasive Hemodynamic Characterization of Heart Failure with Preserved Ejection Fraction

Mads J. Andersen, Barry A. Borlaug
Heart Failure Clin 10 (2014) 435–444
http://dx.doi.org/10.1016/j.hfc.2014.03.001

KEY POINTS

  • Invasive hemodynamic assessment in heart failure with preserved ejection fraction (HFpEF) was originally a primary research tool to advance the understanding of the pathophysiology of HFpEF.
  • The role of invasive hemodynamic assessment in HFpEF is expanding to the diagnostic arena where invasive assessment offers a robust, sensitive, and specific way to diagnose or exclude HFpEF in patients with unexplained dyspnea and normal ejection fraction.
  • In future years, invasive hemodynamic profiling may more rigorously phenotype patients to individualized therapy and, potentially, deliver novel device-based structural interventions.

The circulatory system serves to deliver substrates to the body via the bloodstream while removing the byproducts of cellular metabolism. Hemodynamics broadly refers to the study of the forces involved in the circulation of blood, which are governed by to the physical properties of the heart and vasculature and their dynamic regulation by the autonomic nervous system.

Afterload represents the forces opposing ventricular ejection and can be quantified by systolic left ventricular (LV) wall stress and aortic input impedance or its individual components (resistance, compliance, characteristic impedance). Wall stress is inconvenient because it depends on heart size and geometry, whereas impedance is cumbersome because it is a frequency-domain parameter that cannot be easily coupled with time-domain measures of ventricular function. Effective arterial elastance (Ea), defined by the ratio of LV end-systolic pressure (ESP) to stroke volume, provides a robust measure of total arterial load. Ea is not a directly measured parameter but, instead, a net or lumped stiffness of the vasculature that incorporates both mean and oscillatory components of afterload (Fig. 1). Preload reflects the degree of myofiber stretch before the onset of contraction, which, in turn, dictates the force and velocity of contraction according to the Frank-Starling principle. In everyday practice, preload is often conceptualized as equivalent to LV filling pressures. However, in fact, preload is most accurately reflected by the LV volume at end-diastole volume (EDV). Filling pressures are related to EDV by the LV diastolic chamber stiffness, which differs in healthy volunteers and subjects with HFpEF.

Fig. 1. Not shown. Ventricular-arterial coupling in the pressure-volume plane. Pressure volume loop at steady state is shown in dark black. The area subtended by the loop (shaded) represents the stroke work. Stroke volume is the difference between end-diastolic volume (EDV) and end-systolic volume (ESV). Ea is defined by the negative slope connecting the ESP and ESV coordinates with EDV and pressure = 0. With acute preload reduction (dotted line loops) there is progressive reduction in EDV, ESV, and ESP. The linear slope of the endsystolic pressure volume relationship (ESPVR) is LV end-systolic elastance (Ees). The curvilinear slope of the end diastolic pressure–volume relationship (EDVPR) is derived by fitting pressure volume coordinates measured during diastasis to the equation shown. The exponential power or stiffness constant (b) obtained is a measure of LV diastolic stiffness. (Adapted from Borlaug BA, Kass DA. Invasive hemodynamic assessment in heart failure. Heart Fail Clin 2009;5(2):217–28; with permission.)

Fig. 3. Not shown. Left ventricular diastolic reserve in HFpEF. In the normal healthy adult, the rate of LV pressure decay during isovolumic contraction (t) is rapid and increases markedly during exercise in association with a reduction in LVmin, allowing for suction of blood into the LV, with no increase in left atrial pressure or LV end-diastolic pressure (LVEDP) despite an increase in LV end-diastolic volume and marked shortening of the cycle length. In HFpEF, relaxation is prolonged at baseline (increased t) with inadequate hastening (shortening of t) during exercise, contributing to an inability to reduce LVmin and, consequently, a complete lack of suction effects. LV filling then completely depends on left atrial hypertension, which develops in tandem with marked elevation in LVEDP. (Data from Borlaug BA, Jaber WA, Ommen SR, et al. Diastolic relaxation and compliance reserve during dynamic exercise in heart failure with preserved ejection fraction. Heart 2011;97(12):964–9.)

Fig. 4. Preload and filling pressures in HFpEF. (A) Cumulative distribution plot shows that acute changes in stroke volume with nitroprusside infusion are lower in HFpEF (black) compared with HFrEF (red). Because afterload (Ea) is lowered, any acute reduction in SV must be related to reduction in preload volume (EDV) and nearly 40% of HFpEF patients experienced stroke volume reduction with nitroprusside, despite high filling pressures (PCWP 20–25 mm Hg), indicating increased reliance on high pressures to achieve adequate EDV. *p<0.0001 compared with HFrEF. (B) LVEDP in a healthy adult (blue) and in a HFpEF patient with increased LV diastolic stiffness (green). At the same preload (EDV), pressure is more than twofold higher in HFpEF. In contrast, at the same LV diastolic pressure (15 mm Hg), LV volume is much lower in HFpEF, indicating decreased LV diastolic capacitance. V15, volume at end-diastolic pressure = 15 mm Hg; LVEDP. (Adapted from Schwartzenberg S, Redfield MM, From AM, et al. Effects of vasodilation in heart failure with preserved or reduced ejection fraction implications of distinct pathophysiologies on response to therapy. J Am Coll Cardiol 2012;59(5):442–51; with permission.)

Updated Clinical Classification of Pulmonary Hypertension

Gérald Simonneau, Ivan M. Robbins, Maurice Beghetti, et al.
J Am Coll of Cardiol   2009; 54(1), Suppl S
http://dx.doi.org:/10.1016/j.jacc.2009.04.012

The aim of a clinical classification of pulmonary hypertension (PH) is to group together different manifestations of disease sharing similarities in pathophysiologic mechanisms, clinical presentation, and therapeutic approaches. In 2003, during the 3rd World Symposium on Pulmonary Hypertension, the clinical classification of PH initially adopted in 1998 during the 2nd World Symposium was slightly modified. During the 4th World Symposium held in 2008, it was decided to maintain the general architecture and philosophy of the previous clinical classifications. The modifications adopted during this meeting principally concern Group 1, pulmonary arterial hypertension (PAH). This subgroup includes patients with PAH with a family history or patients with idiopathic PAH with germline mutations (e.g., bone morphogenetic protein receptor-2, activin receptor-like kinase type 1, and endoglin). In the new classification, schistosomiasis and chronic hemolytic anemia appear as separate entities in the subgroup of PAH associated with identified diseases. Finally, it was decided to place pulmonary venoocclusive disease and pulmonary capillary hemangiomatosis in a separate group, distinct from but very close to Group 1 (now called Group 1=). Thus, Group 1 of PAH is now more homogeneous. (J Am Coll Cardiol 2009; 54: S43–54)
Updated Evidence-Based Treatment Algorithm in Pulmonary Arterial Hypertension

Robyn J. Barst,  J. Simon R. Gibbs, Hossein A. Ghofrani, et al.
J Am Coll Cardiol 2009; 54(1), Suppl S,

Uncontrolled and controlled clinical trials with different compounds and procedures are reviewed to define the risk benefit profiles for therapeutic options in pulmonary arterial hypertension (PAH). A grading system for the level of evidence of treatments based on the controlled clinical trials performed with each compound is used to propose an evidence-based treatment algorithm. The algorithm includes drugs approved by regulatory agencies for the treatment of PAH and/or drugs available for other indications. The different treatments have been evaluated mainly in idiopathic PAH, heritable PAH, and in PAH associated with the scleroderma spectrum of diseases or with anorexigen use. Extrapolation of these recommendations to other PAH subgroups should be done with caution. Oral anticoagulation is proposed for most patients; diuretic treatment and supplemental oxygen are indicated in cases of fluid retention and hypoxemia, respectively. High doses of calcium-channel blockers are indicated only in the minority of patients who respond to acute vasoreactivity testing. Nonresponders to acute vasoreactivity testing or responders who remain in World Health Organization (WHO) functional class III, should be considered candidates for treatment with either an oral phosphodiesterase-5 inhibitor or an oral endothelin-receptor antagonist. Continuous intravenous administration of epoprostenol remains the treatment of choice in WHO functional class IV patients. Combination therapy is recommended for patients treated with PAH monotherapy who remain in WHO functional class III. Atrial septostomy and lung transplantation are indicated for refractory patients or where medical treatment is unavailable. (J Am Coll Cardiol 2009;54:S78–84)

Inhibition and down-regulation of gene transcription and guanylyl cyclase activity of NPRA by angiotensin II involving protein kinase C

Kiran K. Arise, Kailash N. Pandey
Biochem and Biophys Res Commun 349 (2006) 131–135
http://dx.doi.org:/10.1016/j.bbrc.2006.08.003

The objective of this study was to investigate the role of protein kinase C (PKC) in the angiotensin II (Ang II)-dependent repression of Npr1 (coding for natriuretic peptide receptor-A, NPRA) gene transcription. Mouse mesangial cells (MMCs) were transfected with Npr1 gene promoter-luciferase construct and treated with Ang II and PKC agonist or antagonist. The results showed that the treatment of MMCs with 10 nM Ang II produced a 60% reduction in the promoter activity of Npr1 gene. MMCs treated with 10 nM Ang II exhibited 55% reduction in NPRA mRNA levels, and subsequent stimulation with 100 nM ANP resulted in 50% reduction in guanylyl cyclase (GC) activity. Furthermore, the treatment of MMCs with Ang II in the presence of PKC agonist phorbol ester (100 nM) produced an almost 75% reduction in NPRA mRNA and 70% reduction in the intracellular accumulation of cGMP levels. PKC antagonist staurosporine completely reversed the effect of Ang II and phorbol ester. This is the first report to demonstrate that ANG II-dependent transcriptional repression of Npr1 gene promoter activity and down-regulation of GC activity of translated protein, NPRA is regulated by PKC pathways.

Transcriptional regulation of guanylyl cyclase/natriuretic peptide receptor-A gene

Prerna Kumar, Kiran K. Arise, Kailash N. Pandey
peptides 27 (2006) 1762–1769
http://dx.doi.org:/10.1016/j.peptides.2006.01.004

Activation of natriuretic peptide receptor-A (NPRA) produces the second messenger cGMP, which plays a pivotal role in maintaining blood pressure and cardiovascular homeostasis. In the present study, we have examined the role of trans-acting factor Ets-1 in transcriptional regulation of Npr1 gene (coding for NPRA).Using deletional analysis of the Npr1 promoter, we have defined a 400 base pair (bp) region as the core promoter, which contains consensus binding sites for transcription factors including: Ets-1, Lyf-1, and GATA-1/2. Over-expression of Ets-1 in mouse mesangial cells (MMCs) enhanced Npr1 gene transcription by 12-fold. However, overexpression of GATA-1 or Lyf-1 repressed Npr1 basal promoter activity by 50% and 80%, respectively. The constructs having a mutant Ets-1 binding site or lacking this site failed to respond to Ets-1 activation of Npr1 gene transcription. Collectively, the present results demonstrate that Ets-1 greatly stimulates Npr1 gene promoter activity, implicating its critical role in the regulation and function of NPRA at the molecular level.

Several agents that are known to upregulate Ets-1 transcription, include RA, TNF-alpha, VEGF, and TPA. Ets-1 is upregulated at exposure to agonists such as serum in vitro and is expressed in injured vasculature. MAPK-mediated phosphorylation positively regulates the transcriptional activation functions of Ets-1 by recruiting CBP/p300. Not much is known about Ets-1 expression or regulation in mesangial cells. A temporal increase of mesangial cell Ets-1 expression has been reported which correlates with mesangial cell activation
in mesangioproliferative glomerulonephritis suggesting involvement of PDGF-B. There might be a possibility that during glomerulonephritis increased Ets-1 expression upregulates Npr1 gene as a protective mechanism. Npr1 gene has been shown to negatively regulate mitogen-activated protein kinase and proliferation of mesangial cells.

In conclusion, our results demonstrate that the precise control of Npr1 gene transcriptional activity is achieved through a synergy of activators and repressors in which Ets-1 plays an integral role as a transcriptional activator. Comparatively, Lyf-1 and GATA-1 act as repressors, inhibiting and regulating the transcriptional activity of Npr1 gene promoter. The present findings suggest that Ets-1 plays a critical role in enhancing Npr1 gene transcription and may have an important influence in hypertension and cardiovascular homeostasis at the molecular level.

Krüppel-like transcription factor 11 (KLF11) overexpression inhibits cardiac hypertrophy and fibrosis in mice

Yue Zheng, Ye Kong, Feng Li
Biochem and Biophys Res Commun 443 (2014) 683–688
http://dx.doi.org/10.1016/j.bbrc.2013.12.024

The Krüppel-like factors (KLFs) belong to a subclass of Cys2/His2 zinc-finger DNA-binding proteins. The KLF family member KLF11 is originally identified as a transforming growth factor b (TGF-b)-inducible gene and is one of the most studied in this family. KLF11 is expressed ubiquitously and participates  in diabetes and regulates hepatic lipid metabolism. However, the role of KLF11 in cardiovascular system is largely unknown. Here in this study, we reported that KLF11 expression is down-regulated in failing human hearts and hypertrophic murine hearts. To evaluate the roles of KLF11 in cardiac hypertrophy, we generated cardiac-specific KLF11 transgenic mice. KLF11 transgenic mice do not show any difference from their littermates at baseline. However, cardiac-specific KLF11 overexpression protects mice from TAC-induced cardiac hypertrophy, with reduced radios of heart weight (HW)/body weight (BW), lung weight/BW and HW/tibia length, decreased left ventricular wall thickness and increased fractional shortening. We also observe lower expression of hypertrophic fetal genes in TAC-challenged KLF11 transgenic mice compared with WT mice. In addition, KLF11 reduces cardiac fibrosis in mice underwent hypertrophy. The expression of fibrosis markers are also down-regulated when KLF11 is overexpressed in TAC-challenged mice. Taken together, our findings identify a novel anti-hypertrophic and anti-fibrotic role of KLF11, and KLF11 activator may serve as candidate drug for heart failure patients.

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Action of Hormones on the Circulation

Writer and Curator: Larry H. Bernstein, MD, FCAP 

 

 

Introduction

This is perhaps the most difficult piece to write, unexpectedly. I have done a careful search for related material using different search phrases.  It is perhaps because of the great complexity of the topic, which is inextricably linked to sepsis, the Systemic Inflammatory Response Syndrome SIRS), and is poised differently than the neural innervation of the hormonal response and circulation, as in the previous piece.  In the SIRS mechanism, we find a very large factor in glucocorticoids, the cytokine shower (IL-1, IL-6, TNF-α), and gluconeogenesis, with circulatory changes.  In this sequence, it appears that we are focused on the arteriolar and bronchial smooth muscle architecture, the adrenal medulla, vasoconstriction and vasodilation, and another set of peptide interactions.  This may be concurrent with the other effects described.

Related articles in Pharmaceutical Intelligence Journal:

Endothelial Function and Cardiovascular Disease

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http://pharmaceuticalintelligence.com/2012/10/25/endothelial-function-and-cardiovascular-disease/

Clinical Trials Results for Endothelin System: Pathophysiological role in Chronic Heart Failure, Acute Coronary Syndromes and MI – Marker of Disease Severity or Genetic Determination?

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Endothelin Receptors in Cardiovascular Diseases: The Role of eNOS Stimulation

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Inhibition of ET-1, ETA and ETA-ETB, Induction of NO production, stimulation of eNOS and Treatment Regime with PPAR-gamma agonists (TZD): cEPCs Endogenous Augmentation for Cardiovascular Risk Reduction – A Bibliography

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Cardiovascular Disease (CVD) and the Role of Agent Alternatives in endothelial Nitric Oxide Synthase (eNOS) Activation and Nitric Oxide Production

Curator and Investigator Initiated Study: Aviva Lev-Ari, PhD, RN

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Innervation of Heart and Heart Rate

Writer and Curator: Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2015/02/15/innervation-of-heart-and-heart-rate/

αllbβ3 Antagonists As An Example of Translational Medicine Therapeutics

Larry H Bernstein, MD, FCAP, Reporter and curator

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Cardiac Contractility & Myocardium Performance: Therapeutic Implications for Ryanopathy (Calcium Release-related Contractile Dysfunction) and Catecholamine Responses

Author, and Content Consultant to e-SERIES A: Cardiovascular Diseases: Justin Pearlman, MD, PhD, FACC

http://pharmaceuticalintelligence.com/2013/08/28/cardiac-contractility-myocardium-performance-ventricular-arrhythmias-and-non-ischemic-heart-failure-therapeutic-implications-for-cardiomyocyte-ryanopathy-calcium-release-related-contractile/

The Centrality of Ca(2+) Signaling and Cytoskeleton Involving Calmodulin Kinases and Ryanodine Receptors in Cardiac Failure, Arterial Smooth Muscle, Post-ischemic Arrhythmia, Similarities and Differences, and Pharmaceutical Targets

Larry H Bernstein, MD, FCAP, Justin Pearlman, MD, PhD, FACC and Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/09/08/the-centrality-of-ca2-signaling-and-cytoskeleton-involving-calmodulin-kinases-and-ryanodine-receptors-in-cardiac-failure-arterial-smooth-muscle-post-ischemic-arrhythmia-similarities-and-differences/

Ca2+-Stimulated Exocytosis:  The Role of Calmodulin and Protein Kinase C in Ca2+ Regulation of Hormone and Neurotransmitter

Larry H Bernstein, MD, FCAP
and
Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/12/23/calmodulin-and-protein-kinase-c-drive-the-ca2-regulation-of-hormone-and-neurotransmitter-release-that-triggers-ca2-stimulated-exocytosis/

Cardiac Contractility & Myocardium Performance: Ventricular Arrhythmias and Non-ischemic Heart Failure – Therapeutic Implications for Cardiomyocyte Ryanopathy (Calcium Release-related Contractile Dysfunction) and Catecholamine Responses

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Disruption of Calcium Homeostasis: Cardiomyocytes and Vascular Smooth Muscle Cells: The Cardiac and Cardiovascular Calcium Signaling Mechanism

Justin Pearlman, MD, PhD, FACC, Larry H Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

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Calcium-Channel Blockers, Calcium Release-related Contractile Dysfunction (Ryanopathy) and Calcium as Neurotransmitter Sensor

Justin Pearlman, MD, PhD, FACC, Larry H Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

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Synaptotagmin functions as a Calcium Sensor: How Calcium Ions Regulate the fusion of vesicles with cell membranes during Neurotransmission

Larry H Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

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Advanced Topics in Sepsis and the Cardiovascular System at its End Stage

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For most comprehensive Bibliography on the Ryanodine receptor calcium release channel complex and for FIGURES illustrating the phenomenon, see

Pharmacol Ther. 2009 August; 123(2): 151–177.

http://dx.doi.org:/10.1016/j.pharmthera.2009.03.006

PMCID: PMC2704947

Ryanodine receptor-mediated arrhythmias and sudden cardiac death

Lynda M. Blayney[low asterisk] and F. Anthony Lai

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2704947/

Oxidized Calcium Calmodulin Kinase and Atrial Fibrillation

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http://pharmaceuticalintelligence.com/2013/10/26/oxidized-calcium-calmodulin-kinase-and-atrial-fibrillation/

Contributions to cardiomyocyte interactions and signaling

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Cardiac Contractility & Myocardium Performance: Therapeutic Implications for Ryanopathy (Calcium Release-related Contractile Dysfunction) and Catecholamine Responses

Editor: Justin Pearlman, MD, PhD, FACC, Author and Curator: Larry H Bernstein, MD, FCAP, and Article Curator: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/08/28/cardiac-contractility-myocardium-performance-ventricular-arrhythmias-and-non-ischemic-heart-failure-therapeutic-implications-for-cardiomyocyte-ryanopathy-calcium-release-related-contractile/

The Centrality of Ca(2+) Signaling and Cytoskeleton Involving Calmodulin Kinases and Ryanodine Receptors in Cardiac Failure, Arterial Smooth Muscle, Post-ischemic Arrhythmia, Similarities and Differences, and Pharmaceutical Targets

Larry H Bernstein, MD, FCAP, Justin Pearlman, MD, PhD, FACC and Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/09/08/the-centrality-of-ca2-signaling-and-cytoskeleton-involving-calmodulin-kinases-and-ryanodine-receptors-in-cardiac-failure-arterial-smooth-muscle-post-ischemic-arrhythmia-similarities-and-differen/

 Action of hormones on the circulation

Limbic system mechanisms of stress regulation: Hypothalamo-pituitary-adrenocortical axis

James P. Herman, Michelle M. Ostrander, Nancy K. Muelle, Helmer Figueiredo
Prog in Neuro-Psychopharmacol & Biol Psychiatry 29 (2005) 1201 – 1213
http://dx.doi.org:/10.1016/j.pnpbp.2005.08.006

Limbic dysfunction and hypothalamo-pituitary-adrenocortical (HPA) axis dysregulation are key features of affective disorders. The following review summarizes our current understanding of the relationship between limbic structures and control of ACTH and glucocorticoid release, focusing on the hippocampus, medial prefrontal cortex and amygdala. In general, the hippocampus and anterior cingulate/prelimbic cortex inhibit stress-induced HPA activation, whereas the amygdala and perhaps the infralimbic cortex may enhance glucocorticoid secretion. Several characteristics of limbic–HPA interaction are notable: first, in all cases, the role of given limbic structures is both region- and stimulus-specific. Second, limbic sites have minimal direct projections to HPA effector neurons of the paraventricular nucleus (PVN); hippocampal, cortical and amygdalar efferents apparently relay with neurons in the bed nucleus of the stria terminalis, hypothalamus and brainstem to access corticotropin releasing hormone neurons. Third, hippocampal, cortical and amygdalar projection pathways show extensive overlap in regions such as the bed nucleus of the stria terminalis, hypothalamus and perhaps brainstem, implying that limbic information may be integrated at subcortical relay sites prior to accessing the PVN. Fourth, these limbic sites also show divergent projections, with the various structures having distinct subcortical targets. Finally, all regions express both glucocorticoid and mineralocorticoid receptors, allowing for glucocorticoid modulation of limbic signaling patterns. Overall, the influence of the limbic system on the HPA axis is likely the end result of the overall patterning of responses to given stimuli and glucocorticoids, with the magnitude of the secretory response determined with respect to the relative contributions of the various structures.

representations of the HPA axis

representations of the HPA axis

Diagrammatic representations of the HPA axis of the rat. HPA responses are initiated by neurosecretory neurons of medial parvocellular paraventricular nucleus (mpPVN), which secretes ACTH secretagogues such as corticotropin releasing hormone (CRH) and arginine vasopressin (AVP) in the hypophysial portal circulation at the level of the median eminence. These secretagogues promote release of ACTH into the systemic circulation, whereby it promotes synthesis and release of glucocorticoids at the adrenal cortex.

When exposed to chronic stress, the HPA axis can show both response Fhabituation_ and response Ffacilitation_. FHabituation_ occurs when the same (homotypic) stressor is delivered repeatedly, and is characterized by progressive diminution of glucocorticoid responses to the stimulus. Systemic administration of a mineralocorticoid receptor antagonist is sufficient to block habituation, implying a role for MR signaling in this process. It should be noted that HPA axis habituation is highly dependent on both the intensity and predictability of the stressful stimulus. FFacilitation_ is observed when animals repeatedly exposed to one stimulus are presented with a novel (heterotypic). In chronically stressed animals, exposure to a novel stimulus results in rise in glucocorticoids that is as large as or greater than that seen in a chronic stress naıve animal. Importantly, facilitation can occur in the context of chronic stress-induced elevations in resting glucocorticoids levels, suggesting that this process involves a bypass or override of negative feedback signals.

Hippocampal regulation of the HPA axis appears to be both region- and stressor-specific. Using a sequential lesion approach, our group has noted that the inhibitory effects of the hippocampus on stress-induced corticosterone release and CRH/AVP mRNA expression are likely subserved by neurons resident in the ventral subiculum-caudotemporal CA1. In addition to spatial specificity, hippocampal regulation of the HPA axis also appears to be specific to certain stress modalities; our studies indicate that ventral subiculum lesions cause elevated glucocorticoid secretion following restraint, open field or elevated plus maze exposure, but not to ether inhalation or hypoxia.

The research posits an intricate topographical organization of prefrontal cortex output to HPA regulatory circuits. The anatomy of medial prefrontal cortex efferents may illuminate this issue. The infralimbic cortex projects extensively to the anterior bed nucleus of the stria terminalis, medial and central amygdala and the nucleus of the solitary tract, all of which are implicated in stress excitation. In contrast, the prelimbic cortex has minimal input to these structures, but projects to the ventrolateral preoptic area, dorsomedial hypothalamus and peri-PVN region, areas implicated in stress inhibition. Thus, the infralimbic and prelimbic/anterior cingulate components of the prefrontal cortex may play very different roles in HPA axis regulation. Like other limbic regions, the influence of the amygdala on the HPA axis is stressor- and region-specific. The medial amygdala shows intense c-fos induction following stressors such as restraint, swimming, predator exposure and social interaction.

Despite the prominent involvement of the hippocampus, medial prefrontal cortex and amygdala in HPA axis regulation, there is limited evidence of direct innervation of the PVN by these structures. Rather, these regions appear to project to a number of basal forebrain, hypothalamic and brainstem cell populations that in turn innervate the medial parvocellular PVN. Thus, in order to access principle stress effector neurons, information from the limbic system requires an intermediary synapse. In the bed nucleus of the stria terminalis and hypothalamus, the majority of these intermediary neurons are GABAergic. For example, the bed nucleus of the stria terminalis, ventrolateral preoptic area, dorsomedial hypothalamic nucleus and peri-PVN region all contain rich populations of neurons expressing the GABA marker glutamatic acid decarboxylase (GAD) 65/67.

The organization of the peri-PVN cell groups is particularly interesting. In the case of the ventral subiculum and to a lesser extent, the medial prefrontal cortex, terminal fields can be observed in the immediate surround of the PVN, corresponding to areas containing substantial numbers of GABA neurons. Importantly, dendrites of PVN neurons are largely confined within the nucleus proper, indicating that limbic afferents are unlikely to interact directly with the PVN neurons themselves. The peri-PVN GABA neurons are activated by glutamate, and likely express glutamate receptor subunits. These neurons also up-regulate GAD65 mRNA following chronic stress, commensurate with involvement in long-term HPA regulation. Injections of a general ionotroptic glutamate receptor antagonist into the PVN surround potentiates glucocorticoid responses to restraint, consistent with blockade of glutamate excitation of these GABA neurons. The data are consistent with an interaction between the excitatory limbic structures and inhibitory PVN-regulatory cells at the level of the PVN surround.

Brainstem stress-modulatory pathways likely relay excitatory information to the PVN. For example, the nucleus of the solitary tract provides both catecholaminergic (norepinephrine) and non-catecholaminergic (e.g., glucagon-like peptide-1 (GLP-1) input to the medial parvocellular. Norepinephrine is released into the PVN following stress and is believed to activate CRH neurons via alpha-1 adrenergic receptors. The role of this pathway is thought to be associated with systemic stressors, as selective destruction of PVN norepinephrine input using anti-dopamine beta hydroxylase-saporin conjugate blocks responses to 2-deoxy-glucose but not restraint.  In contrast, blockade of central GLP-1 receptors using exendin 9–36 markedly inhibits responsiveness to both lithium chloride and novelty, suggesting that this non-catecholaminergic cell population may play a more general role in stress integration.

The existence of these putative two-neuron circuits lends important insight into the nature of stress information processing. Anatomical data support the hypothesis that the vast majority of medial prefrontal cortex and ventral subicular inputs to subcortical stress relays are glutamate-containing. As can be appreciated, pyramidal cells of the medial prefrontal cortex and subiculum richly express mRNA encoding vesicular glutamate transporter-1 (VGlut1), a specific marker of glutamate neurons. Combined retrograde tracing/in situ hybridization studies performed in our lab indicate that the vast majority of cortical and hippocampal afferents to PVN-projecting regions (e.g., bed nucleus of the stria terminalis, dorsomedial hypothalamus, ventrolateral medial preoptic area) indeed contain VGlut1, verifying a glutamatergic input to these areas. In contrast, the majority of amygdalar areas implicated in stress regulation express glutamic acid decarboxylase (GAD) 65 or 67 mRNA, suggesting a GABAergic phenotype; indeed, the vast majority of medial and central amygdaloid projections to PVN relays are GABAergic.

representations of limbic stress-integrative pathways from the prefrontal cortex, amygdala and hippocampus

representations of limbic stress-integrative pathways from the prefrontal cortex, amygdala and hippocampus

Diagrammatic representations of limbic stress-integrative pathways from the prefrontal cortex, amygdala and hippocampus. The medial prefrontal cortex (mPFC) subsumes neurons of the prelimbic (pl), anterior cingulate (ac) and infralimbic cortices (il), which appear to have different actions on the HPA axis stress response. The pl/ac send excitatory projections (designated as dark circles, filled line with arrows) to regions such as the peri-PVN zone and bed nucleus of the stria terminalis (BST), both of which send direct GABAergic projections to the medial parvocellular PVN (delineated as open circles, dotted lines ending in squares). This two-neuron chain is likely to be inhibitory in nature. In contrast, the infralimbic cortex projects to regions such as the nucleus of the solitary tract (NTS), which sends excitatory projections to the PVN, implying a means of PVN excitation from this cortical region. The ventral subiculum (vSUB) sends excitatory projections to numerous subcortical regions, including the posterior BST, peri-PVN region, ventrolateral region of the medial preoptic area (vlPOA) and ventrolateral region of the dorsomedial hypothalamic nucleus (vlDMH), all of which send GABAergic projections to the PVN and are likely to communicate transsynaptic inhibition. The medial amygdaloid nucleus (MeA) sends inhibitory projections to GABAergic PVN-projecting populations, such as the BST, vlPOA and peri-PVN, eliciting a transsynaptic disinhibition. A similar arrangement likely exists for the central amygdaloid nucleus (CeA), which sends GABAergic outflow to the ventrolateral BST and to a lesser extent, the vlDMH. The CeA also projects to GABAergic neurons in the NTS, which may disinhibit ascending projections to the PVN.

Inotropes and vasopressors: more than haemodynamics!

Hendrik Bracht, E Calzia, M Georgieff,  J Singer, P Radermacher and JA Russell
British Journal of Pharmacology (2012) 165 2009–2011
http://dx.doi.org:/10.1111/j.1476-5381.2011.01776.x

Circulatory shock is characterized by arterial hypotension requiring fluid resuscitation combined with inotropes and/or vasopressors to correct the otherwise life-threatening impairment of oxygen supply to peripheral tissues. Catecholamines represent the current therapeutic choice, but this standard is only based on empirical clinical experience. Although there is evidence that some catecholamines may be better than others, it is a matter of debate which one may be the most effective and/or the safest for the different situations. In their review in this issue of the British Journal of Pharmacology, Bangash et al. provide an overview of the pharmacology as well as the available clinical data on the therapeutic use of endogenous catecholamines, their synthetic derivatives and a range of other agents (vasopressin and its analogues, PDE inhibitors and levosimendan). The authors point out that, despite well-established receptor pharmacology, the clinical effects of these treatments are poorly understood. Hence, further investigations are essential to determine which catecholamine, or, in a broader sense, which alternative vasopressor and/or inotrope is the most appropriate for a particular clinical condition.

LINKED ARTICLES   This article is a commentary on Bangash et al., pp. 2015–2033 of this issue and is commented on by De Backer and Scolletta, pp. 2012–2014 of this issue. To view Bangash et al. visit http://dx.doi.org/10.1111/j.1476-5381.2011.01588.x   and to view De Backer and Scolletta visit http://dx.doi.org/10.1111/j.1476-5381.2011.01746.x

In the present issue of the British Journal of Pharmacology, Bangash et al. (2012) review the pharmacology as well as the available clinical data on the therapeutic use of various inotropes and vasopressor agents used for the hemodynamic management of (septic) shock. By definition, circulatory shock is characterized by arterial hypotension that necessitates immediate intervention to maintain the balance of tissue oxygen supply and demand. In practice, the longer and the more frequent periods of hypotension are present in a patient, the less likely is survival, and early aggressive resuscitation is associated with improved outcome. Besides fluid administration to increase the circulating blood volume, in most cases, vasoactive drugs are required to restore an adequate perfusion pressure, and up to now, catecholamines represent the current therapeutic choice. According to their pharmacological profile, catecholamines are traditionally used for their predominant inotropic, vasodilating or constrictor effects.

Clinicians should not forget two fundamental aspects of catecholamine action. First, because of the ubiquitous presence of adrenoceptors, endogenous catecholamines. as well as their synthetic derivatives, have pronounced effects on virtually all tissues (many of which were described several years ago), in particular on the immune system (van der Poll et al., 1996; Flierl et al., 2008), on energy metabolism (Cori and Cori, 1928; Bearn et al., 1951) and on gastrointestinal motility (McDougal and West, 1954). Second, the adrenoceptor density and responsiveness to catecholamines are markedly altered by both the underlying disease and the ongoing catecholamine. Bangash et al. (2012) have to be commended that they not only describe the various endogenous catecholamines and their synthetic derivatives but also thoroughly discuss possible alternatives, such as vasopressin and its analogues, PDE inhibitors and levosimendan.

Inhibitory effects of cortisone and hydrocortisone on human Kv1.5 channel currents

Jing Yu, Mi-Hyeong Park, Su-Hyun Jo
Eur J Pharmacol 746 (2015) 158–166  http://dx.doi.org/10.1016/j.ejphar.2014.11.007

Glucocorticoids are the primary hormones that respond to stress and protect organisms from dangerous situations. The glucocorticoids hydrocortisone and its dormant form, cortisone, affect the cardiovascular system with changes such as increased blood pressure and cardioprotection. Kv1.5 channels play a critical role in the maintenance of cellular membrane potential and are widely expressed in pancreatic β-cells, neurons, myocytes, and smooth muscle cells of the pulmonary vasculature. We examined the electrophysiological effects of both cortisone and hydrocortisone on human Kv1.5 channels expressed in Xenopus oocytes using a two-microelectrode voltage clamp technique. Both cortisone and hydrocortisone rapidly and irreversibly suppressed the amplitude of Kv1.5 channel current with IC50 values of 50.2 + 74.2 μM and 33.4 + 73.2 μM, respectively, while sustained the current trace shape of Kv1.5 current. The inhibitory effect of cortisone on Kv1.5 decreased progressively from – 10mV to +30 mV, while hydrocortisone’s inhibition of the channel did not change across the same voltage range. Both cortisone and hydrocortisone blocked Kv1.5 channel currents in a non-use-dependent manner and neither altered the channel’s steady-state activation or inactivation curves. These results show that cortisone and hydrocortisone inhibited Kv1.5 channel currents differently. Kv1.5 channels were more sensitive to hydrocortisone than to cortisone.

In conclusion, cortisone and hydrocortisones rapidly and irreversibly blocked human Kv1.5 channels expressed in Xenopus oocytes in a closed state without altering activation and inactivation gating. These data provide a possible mechanism for GC effects on the cardiovascular system. The detailed mechanism of the interaction between GCs and human Kv1.5 channels merits further exploration.

Inflammasome and cytokine blocking strategies in autoinflammatory disorders

Monika Moll, Jasmin B. Kuemmerle-Deschner
Clinical Immunology (2013) 147, 242–275 http://dx.doi.org/10.1016/j.clim.2013.04.008

Autoinflammatory disorders are characterized by usually unprovoked recurrent episodes of features of inflammation caused by activation of the innate immune system. Many autoinflammatory disorders – the monogenetic defects in particular – are associated with alterations of inflammasomes. Inflammasomes are complex multimolecular structures, which respond to “danger” signals by activation of cytokines. Among these, IL-1 is the key player of the innate immune response and inflammation. Consequently, IL-1 blocking strategies are specific pathway targeting therapies in autoinflammatory diseases and applied in CAPS, colchicine-resistant FMF, TRAPS, HIDS and DIRA. A number of rare genetic disorders involve inflammasome malfunction resulting in enhanced inflammatory response. IL-1 inhibition to date is the most successful specific therapy in autoinflammatory disorders. Here, current treatment strategies in autoinflammatory disorders are reviewed with a focus on inflammasome and cytokine inhibition.

Autoinflammatory disorders have been defined as “clinical disorders marked by abnormally increased inflammation, mediated predominantly by the cells and molecules of the innate immune system.”  This means that in autoinflammatory disorders autoantibodies or antigen related T-cells are usually absent. These are features of the adaptive immune system and found in autoimmune diseases.
In general, autoinflammatory disorders are characterized by a large spectrum of rather non-specific systemic and organ-specific signs and symptoms of inflammation. In some diseases specific symptoms are observed like hearing loss in Muckle–Wells syndrome or CNS-disease in NOMID/CINCA. Most autoinflammatory disorders are associated with high levels of serum amyloid A (SAA) during inflammatory attacks and high risk of life-threatening amyloidosis. In most cases the disease will start in infancy and childhood. Only rarely primary manifestations in adulthood are reported.
Because recurrent fevers have been the most prominent feature of this group of diseases, historically they have been summarized under the term “hereditary periodic fever syndromes”.  With the deeper understanding of the underlying pathophysiologic mechanisms on the genetic and cellular level, the more comprehensive term “autoinflammatory syndromes”.
Along with the detection of the genetic origin of the autoinflammatory disorders, the cellular pathomechanism leading to the resulting inflammation has been described. A number of genes, which are affected by mutations in autoinflammatory disorders, encode proteins forming intracellular complexes called inflammasomes. External and endogenous “dangers” are recognized by these “danger sensors” and are able to induce an inflammatory reaction. Microbial components from infectious agents such as LPS, flagellin, lipoteichoic acid from bacteria, peptidoglycan or double-stranded DNA from viruses, or inorganic crystalline structures such as uric acid crystals, display pathogen-associated molecular patterns (PAMPs). These and endogenous damage-associated molecular patterns (DAMPs) like heat-shock proteins, the chromatin-associated protein high-mobility group box 1 (HMGB1), hyaluronan fragments, ATP, uric acid, and DNA which are released with cellular waste and injury stimulate the inflammasome. Also, the myeloid related proteins MRP8 and 14 (also known as S100A8 and S100A9) which are used as biomarkers, belong to the group of DAMPs. In addition to PAMPs and DAMPs, the inflammasome may interact with and be stimulated by proteins such as pyrin, proline–serine–threonine phosphatase interacting protein 1 (PSTPIP1), mevalonate kinase (MK) and NLRP7. All of these may also be altered in structure and function by monogenetic mutations.
As a consequence of inflammasome activation, a large variety of cytokines are produced and released by cells of the innate immune system (monocytes, macrophages, dendritic cells). They include the IL-1 family (IL-1, IL-18, IL-33), the TNF family (TNF-α, LT-α), the IL-6 family (IL-6, IL-11), the IL-17 family (IL-17A, IL-25), and type 1 IFNs (IFN-α, IFN-β). These cytokines play redundant roles depending on the cause and pathway of inflammation in the respective disease. Therefore, therapeutic strategies targeting only one cytokine should be expected to be inadequate to treat inflammatory disorders. However, improvement observed in diabetes mellitus Type 2 after blockade of IL-1 indicates that targeting one cytokine, even in a polygenic, complex inflammatory disorder, may cause beneficial effects. Regarding the inflammatory pathogenesis involved in the disease, Goldbach–Mansky and co-workers have classified the monogenetic autoinflammatory disorders as IL-1 mediated (CAPS and DIRA), partially IL-1 mediated (FMF, HIDS, PAPA) and mediated by other pathways (TRAPS, Blau-syndrome, Majeed’s syndrome, cherubism and IL-10 receptor deficiency).

Intracellular signaling pathways and therapeutic targets in autoinflammatory diseases. In autoinflammatory diseases, complex intracellular pathways lead to activation of the inflammatory response, particularly IL-1β activation and release, but also induction of NFκB and TNFα. Several mechanisms may activate the inflammasome, one crucial step in the IL-1 pathway. These include DAMPs (1), K+-efflux (2), activation of ROS (3) by ATP, anorganic crystals, membrane perturbation and proteases which are released from lysosomes damaged by β-amyloid, and heat shock proteins (4). NFκB may be induced by PAMPs via toll like receptors (5), IL-1β-signaling (6) or UPR (7). Activated NFκB eventually leads to the release of pro-inflammatory cytokines like IL-1, IL-6 and TNFα (8). Most of these steps to activation have been identified as targets for anti-inflammatory therapies, which are either already used in clinical practice or still experimental. IL-1- (a), TNF- (b), and IL-6 (c) inhibition are established safe and effective treatment strategies in many autoinflammatory diseases. Thalidomide (d) probably inhibits activation of IκB and is also part of routine treatment. Still experimental strategies include inhibition of PAMPs (e), DAMPs (f), potassium efflux (g), ROS by antioxidants (h), heat shock proteins (i), or caspase-1 (k). Caspase-inhibitors have entered clinical trials.

Colchicine has been used for the treatment of inflammatory disorders for centuries. Colchicine is effective in gout, but also in Behcet’s disease and FMF, where it is able to prevent amyloidosis. The drug affects many cell types and accumulates preferentially in neutrophils. Although its mode of action is still unclear it has microtubule destabilizing properties which may be part of its effects. Additional effects such as alteration of adhesion molecule expression, chemotaxis, and ROS generation also impact inflammation. Colchicine is generally tolerated well. However gastrointestinal, hematologic, and neuromuscular side-effects occur, when the administered dose is too high.

Inflammasome activation by heat shock proteins may be prevented by direct inhibition of HSP. HSP90 inhibition was effective in reducing gout-like arthritis in an animal model. Targeting caspase-1 (caspase-1-inhibitors) may be a strategy which has even greater potential in the treatment of autoimmune diseases and autoinflammatory disorders. IL-1 converting enzyme/caspase inhibitor VX-765 was able to inhibit IL-β-secretion in LPS-stimulated cells from FCAS and control subjects. A new IL-1 inhibitor, gevokizumab or Xoma 052 has entered clinical pilot trials. Therapeutic targets particularly for the protein-misfolding autoinflammatory diseases could be chemical chaperones and drugs that stimulate autophagy. Also inhibiting the signaling molecules that mediate the UPR activation which causes activation of the innate immune system and exacerbate inflammation could be a target.

To date IL-1 blockade is the most effective therapy in most monogenetic autoinflammatory diseases — in intrinsic and in extrinsic inflammasom-opathies. The most favorable effects are seen in the treatment of cryopyrin associated periodic syndromes like FACS, MWS and CINCA. But IL-1-blockade is also effective in other diseases like DIRA, TRAPS, PFAPA, colchicine-resistant FMF etc. IL-1 inhibition also has a role in multifactorial and common autoinflammatory diseases like diabetes, gout and artherosclerosis.

Endothelin—Biology and disease

Al-karim Khimji, Don C. Rockey
Cellular Signalling 22 (2010) 1615–1625
http://dx.doi.org:/10.1016/j.cellsig.2010.05.002

Endothelins are important mediators of physiological and pathophysiologic processes including cardiovascular disorders, pulmonary disease, renal diseases and many others. Additionally, endothelins are involved in many other important processes such as development, cancer biology, wound healing, and even neurotransmission. Here, we review the cell and molecular biology as well as the prominent pathophysiological aspects of the endothelin system.

Endothelin-1 (ET-1) was originally isolated from porcine aortic endothelial cells  and is a 21 amino acid cyclic peptide, with two disulphide bridges joining the cysteine amino acids (positions 1–15 and 3–11) at the N-terminal end and hydrophobic amino acids at the c-terminal end of the peptide (Fig. 1). The C-terminal end contains the amino acids that bind to the receptor, the N-terminal end determines the peptide’s binding affinity to the receptor (see Fig. 1). There appear to be at least 2 other endothelin isoforms including endothelin-2 (ET-2) and endothelin-3 (ET-3), which differ from ET-1 in two and six amino acid residues, respectively.

Endothelin (ET) structure

Endothelin (ET) structure

Endothelin (ET) structure. Endothelin is a 21 amino acid cyclic peptide, with two disulphide bridges joining the cysteine residues at positions 1–15 and 3–11. The C-terminal end containsamino acids that appear tomediate receptor binding,while the N-terminal residues determine the peptide’s binding affinity to the receptor. The amino acids highlighted in black in panels (b) and (c) show differences in ET-2 and ET-3 compared to ET-1. As can be seen, the remainder of the primary sequence of the different family members is identical.

Endothelin-1 biosynthetic pathway

Endothelin-1 biosynthetic pathway

Endothelin-1 biosynthetic pathway. Preproendothelin mRNA is synthesized via transcriptional activation of the preproendothelin gene. The translational product is a 203-amino acid peptide known as preproendothelin, which is cleaved at dibasic sites by furin-like endopeptidases to form big endothelins. These biologically inactive, 37- to 41-amino acid intermediates, are cleaved at Trp21–Val 22 by a family of endothelin-converting enzymes (ECE) to produce mature ET-1. The pathway for endothelin-2 and -3 is presumed to be similar.

The endothelin peptides are produced through a set of complex molecular processes. Preproendothelins are synthesized via transcriptional activation of the preproendothelin gene, which is regulated by c-fos and c-jun, nuclear factor-1, AP-1 and GATA-2. The translational product is a 203-amino acid peptide known as preproendothelin which is cleaved at dibasic sites by furin-like endopeptidases to form big endothelins. These biologically inactive 37- to 41-amino acid intermediates are cleaved at Trp21–Val 22 by a family of endothelin-converting enzymes (ECE) to produce mature ET-1.

Three isoforms of ECE have been reported, namely ECE-1, ECE-2 and ECE-3; ECE-1 and ECE-2 are most prominent. (Endothelin receptors are widely distributed in many different tissues and cells, there is a marked difference in cell and tissue distribution patterns between the two receptor subtypes i.e. ETA and ETB. [ET Receptors: Endothelial cells -ETB Vascular tone, clearance of circulating ET-1]).  ECEs belong to the M13 group of proteins—which is a family that includes neutral endopeptidases, kell blood group antigens (Kell), a peptide from phosphate regulating gene (PEX), X-converting enzyme (XCE), “secreted” endopeptidases, and the ECEs. M13 family members contain type II integral membrane proteins with zinc metalloprotease activity, and their function is inhibited by phosphoramidon. Four variants of ECE-1 have been reported in humans, namely ECE-1a, ECE-1b, ECE-1c and ECE-1d which are a result of alternate splicing of ECE-1mRNA. ECE-1 appears to be localized in the plasma cell membrane and its optimal activity is atpH7; it processes big ETs both intracellularly and on the cell surface. It is distributed predominantly in smooth muscle cells. ECE-1 can also hydrolyze other proteins including bradykinin, substance P, and insulin. ECE-2 is localized to the trans-Golgi network and is expressed abundantly in neural tissues and endothelial cells. Its optimal activity is at pH5; the acidic activity marks ECE-2 as an intracellular enzyme. Substrate selectivity experiments indicate that both ECE-1 and ECE-2 show preference for big ET-1 over big ET-2 or big ET-3.

Although there has been controversy about the precise repertoire of endothelin receptors, it appears that the endothelins exert their actions through two major receptor subtypes known as ETA and ETB receptors. ETA and ETB receptors belong to the superfamily of G-protein coupled receptors and contain seven transmembrane domains of 22–26 hydrophobic amino acids among approximately 400 total amino acids. The ETA receptor is found predominantly in smooth muscle cells and cardiac muscles, whereas the ETB receptor is abundantly expressed in endothelial cells.

ET-1 signaling is extremely complicated and ET receptor activation leads to diverse cellular responses through interaction in a chain of pathways that includes the G-protein-activated cell surface receptor, coupling G-proteins and phospholipase (PLC) pathway and other G protein-activated effectors. In one of the canonical signaling pathways, ETA induced activation of phospholipase C leads to the formation of inositol triphosphate and diacylglcerol from phosphatidylinositol. Inositol 1,4,5 triphosphate (IP3) then diffuses to specific receptors on the endoplasmic reticulum and releases stored Ca2+ into the cytosol. This causes a rapid elevation in intracellular Ca2+, which in turn causes cellular contraction and then vasoconstriction; the vasoconstrictive effects of ET persist despite dissociation of ET-1 from the receptor, perhaps because the levels of intracellular calcium remain elevated or because endothelin signaling pathways remain activated for prolonged time periods.

Endothelin signaling – smooth muscle cells

Endothelin signaling – smooth muscle cells

Endothelin signaling – smooth muscle cells. ET receptor stimulation leads to diverse cellular responses in a chain of pathways that include the G protein bg activation. This is followed by activation of a variety of different downstream cascades. For example, shown on the left, ETA induced activation of phosphatidyl inositol specific phospholipase C (PI-PLC) leads to the formation of inositol triphosphate (IP3) and diacylglcerol (DAG) from phosphoinositol 4,5 bisphosphate (PIP2). Inositol 1, 4, 5 triphosphate (IP3) then diffuses to specific receptors on the endoplasmic reticulum and releases stored Ca2+ into the cytosol. This causes a rapid elevation in intracellular Ca2+, which in turn causes cellular contraction

Endothelin signaling – endothelial cells.

Endothelin signaling – endothelial cells.

Endothelin signaling – endothelial cells. ET-1 stimulates NO production in endothelial cells by activation of endothelial cell NO synthase (eNOS). This occurs via ET-1’s activation of the ET-B receptor and the PI3-K/Akt pathway, which in turn stimulates phosphorylation of eNOS, with subequent conversion of L-arginine to L-citrulline and at the same time, generating NO. In addition shear stress, G-protein coupled receptors (GPCR), transient receptor potential channel (TRPC) and receptor tyrosine kinase (RTK) are also activators of eNOS. As a result, NO diffuses to stellate cell, where it directly activates the heme moiety of soluble guanylate cyclase, leading to the production of cyclic GMP. Intracellular cyclic GMP leads to activation of protein kinase G (PKG) resulting in relaxation of stellate cells – offsetting ET’s contractile effect on stellate cells.

The plasma levels of endothelin do not correlate with either the presence of essential hypertension or its severity, presumably, due to the fact that endothelin appears to be biologically active in a paracrine or autocrine fashion (i.e., rather than in an endocrine fashion. Systemic administration of ET-1 in low doses produces a modest increase in blood pressure which is normalized by selective ETA receptor blockade. In experimental models, long-term infusion with ET-1 leads to stroke and renal injury, which can be prevented with long-term administration of selective ETA receptor antagonists. Apart from its direct vasoconstrictor effects, mediated by smooth muscle cell contraction in the arterial system, ET-1 also indirectly enhances the vasoconstrictor effects of other neurohumoral and endocrine factors and may potentiate essential hypertension via this mechanism. For example, ET-1 induces conversion of angiotensin I to angiotensin II in in vitro models and stimulates adrenal synthesis of epinephrine and aldosterone. Thus there is cross-talk between the endothelin and renin–angiotensin–aldosterone systems—to synergistically act to facilitate vasoconstriction. In aggregate, the data suggest that dysregulation of the endothelin system contributes to multisystem complications of hypertension such as progressive renal disease, cerebrovascular diseases, atherosclerosis, and cardiac disease.

ET-1 in the renal system is synthesized in vascular endothelial cells and epithelial cells of the collecting ducts. Both ET receptors are present in renal vasculature and epithelial cells where ETB is the predominant receptor type. Renal vasculature is relatively more sensitive to the vasoconstrictive effects of ET-1 than any other vasculature and it causes constriction of both afferent and efferent renal arterioles.

ET-1 administration in humans significantly reduces renal blood flow, glomerular filtration rate and urine volume. In addition to its hemodynamic effects, ET-1 system is also involved in salt and water reabsorption, acid-base balance, promotion of mesangial cell growth and activation of inflammatory cells. ET-1 has been implicated in the pathophysiology of acute renal injury, chronic renal failure as well as renal remodeling. Transgenic mice overexpressing ET-1 develop glomerulosclerosis, interstitial fibrosis and reduced renal function. Increased ET-1 and ET receptor upregulation has been described in various animal models of acute renal injury and also in patients with chronic renal failure. Additionally, plasma ET-1 levels have been shown to correlate with the severity of chronic renal failure.

ET-1 is produced and released by airway epithelial cells, macrophages, and pulmonary vascular endothelial cells. Endothelin receptors are similarly widely distributed in airway smooth muscle cells, the pulmonary vasculature, and in the autonomic neuronal network lining tracheal muscles. ET-1 has a potent bronchoconstrictor effect.  In animal models, intravenous ET-1 injection led to a dose-dependent increase in airway resistance. The increase in airway resistance is in part due to enhanced production of thromboxanes with subsequent activation of thromboxane receptors and smooth muscle cell proliferation. The ET system has been emphasized in a number of pulmonary disorders, including asthma, cryptogenic fibrosing alveolitis, and pulmonary hypertension. Increased lung vasculature ET-1 immunoreactivity has been reported in both animals and patients with pulmonary hypertension and increases in ET-1 immunoreactivity correlate with the degree of pulmonary vascular resistance, disorders such as pulmonary hypertension, myocardial infarction, heart failure, neoplasia, vascular disorders, wound healing, and many others.

Endothelin and endothelin antagonism: Roles in cardiovascular health and disease

Praveen Tamirisa, William H. Frishman, and Anil Kumar
Am Heart J 1995;130:601-10

Endothelin is a naturally occurring polypeptide substance with potent vasoconstrictive actions. It was originally described as endotensin or endothelial contracting factor in 1985 by Hickey et al., who reported on the finding of a potent stable vasoconstricting substance produced by cultured endothelial cells. Subsequently, Yanagisawa et al. isolated and purified the substance from the supernatant of cultured porcine aortic and endothelial
cells and then went on to prepare its complementary deoxyribonucleic acid (cDNA). This substance was renamed endothelin.

Endothelin is the most potent vasoconstrictor known to date. Its chemical structure is closely related to certain neurotoxins (sarafotoxins) produced by scorpions and the burrowing asp (Atractaspis engaddensis).  Endothelins have now been isolated in various cell lines from several organisms. They are now considered to be autocoids or cytokines 4 because of their wide distribution, their expression during ontogeny and adult life, their primary role as intracellular factors, and the complexity of their biologic effects.

The superfamily of endothelins and sarafotoxins have two main branches with four members each. Endothelin is a polypeptide consisting of 21 amino acids. There are three closely related isoforms endothelin-1, endothelin-2, and endothelin-3 (ET1, ET2, and ET3, respectively), which differ in a few of the amino acid constituents. The fourth member, called ET4 or vasoactive intestinal constrictor, is considered to be the murine form ofET2. The endothelin molecules have several conserved amino acids, including the last six carboxyl (C)-terminal amino acids and four cysteine residues, which form two intrachain disulfide bonds between residues 1 and 15 and 3 and 11. These residues may have biologic implications particularly in relation to three dimensional structure and function. The main differences in the endothelin isopeptides reside in their amino (N)-terminal segments. There is a very high degree of sequence similarity between the two branches (approximately 60%) and within the constituent members of a branch (71% to 95%).

Endothelin has been demonstrated to be produced from endothelial and nonendothelial cells. The synthesis of endothelins parallels that of the various peptide hormones in that a precursor polypeptide is sequentially cleaved to generate the active form. Recently, endothelin-converting enzyme (ECE) was cloned. ECE acts at an essential step in the production of active forms of endothelins. The fully formed molecule is then broken down into inactive peptides by as yet uncharacterized proteases. Some candidates are the lysosomal protective protein (deamidase) and enkephalinase (neutral endopeptidase EC 24.11). The regulation of endothelin production occurs predominantly at the levels of transcription and translation. No storage
vesicles containing endothelin have been identified. The genes for the various endothelin isoforms have been sequenced and are found to be scattered in different chromosomes. Current evidence suggests that they arose from a common ancestor by exon duplication.

Factors known to release endothelinThrombinTransforming growth factor-~Arginine vasopressinHypoxia

Phorbol ester

Glucose

Angiotensin II

Cyclosporin

Insulinlike growth factor

Bombesin

Cortisol

Low-density lipeprotein cholesterol

Hypercholesterolemia

Changes in shear stress on vascular wall

Receptor affinities
Receptor Affinity
ETA ET1 > ET2 > ET3
ETB ET1 = ET2 = ET3
ETC ET3 > ET1
Intracellular signal transduction pathways activated by endothelins (ETs)

Intracellular signal transduction pathways activated by endothelins (ETs)

Intracellular signal transduction pathways activated by endothelins (ETs). Activated ET receptor stimulates phospholipase C (PLC) and phospholipase A2 (PLA2). Activated ET receptor also stimulates voltage-dependent calcium channels (VDC) and probably receptor-operated calcium channel (ROC). Inositol triphosphate (IP3) elicits release of calcium ion from caffeine-sensitive calcium store. Protein kinase C (PKC) activated by diacylglycerol (DG) sensitizes contractile apparatus. Increased concentration of intracellular free calcium ion ([Ca2+]i induces contraction. Cyclooxygenase products (prostacyclin [PGI2], prostaglandin E2 [PGE2], and thromboxane A2 [TXA2]) modify contraction. G, G protein; IP2, inositol biphosphate; IP3, inositol triphosphate; PIP2, phosphatidyl inositol biphosphate. (From Masaki T et al. Circulation 1991;84: 1460.)

Systemic hypertension. Endothelin is the most potent vasoconstrictor known to date and has an exceptionally long duration of physiologic action. The influence of endothelin in maintaining normal blood pressure and its role in the cause of systemic hypertension remain unclear. Intravenous injections of endothelin in animals cause a transient decrease in systolic blood pressure (ETB) followed by a prolonged pressor response (ETA). The vasoconstrictor action is mediated by ETA receptors in the vascular smooth muscle, whereas the predominant vasodilation effect is mediated by the ETB receptors on the endothelial cells that cause release of prostacyclin and nitric oxide. Therefore the overall predominant hemodynamic effect of endothelin in a given organ depends on the receptor type being stimulated, its location, and its relative abundance.

Angiotensin II has been found to increase endothelin concentrations in vitro from endo thelial cells, suggesting one mechanism by which angiotensin-converting-enzyme (ACE) inhibition could function in vivo. ACE inhibitors also can indirectly interfere with endothelin: increased concentrations of bradykinin decrease endothelin release (by acting through bradykinin 2 receptors, stimulation of which cause increased nitric oxide release). ACE inhibitors can cause regression of intimal hyperplasia, whereas other antihypertensive drugs are ineffective in this regard.

Myocardial ischemia. Myocardial ischemia can enhance the release of endothelin by cardiomyocytes and increase its vasoactive effects. Infusion of the ET1 isoform directly into the coronary circulation of animals results in the development of myocardial infarction, with impaired ventricular functioning and the development of arrhythmias. Endothelin has been shown to lower the threshold for ventricular fibrillation in dogs. An increase in ET1 has been observed in cardiac tissue after experimental myocardial infarction in rats, and pretreatment with an antiendothelin ϒ-globulin in this model can reduce infarct size by as much as 40%. Infusion of ETA receptor antagonist drugs before an ischemic insult can also reduce infarct size in animals.

Plasma endothelin concentrations can predict hemodynamic complications in patients with myocardial infarction. Patients with the highest plasma endothelin concentrations after myocardial infarction have the highest creatine phosphokinase (CPK) and CPK MB-isoenzyme concentrations and the lowest angiographically determined ejection fractions.

Left ventricular function and congestive heart failure. Endothelin exhibits potent inotropic activity in isolated hearts, cardiac muscle strips, isolated cells, and instrumented intact animals. High-affinity receptors for endothelin have been demonstrated in the atria and the ventricles. Intravenous administration of the ET1 isoform produces delayed prolonged augmentation of left ventricular performance in addition to its biphasic vasoactive effects of transient vasodilation followed by sustained vasocontraction.

Endothelin is a potent secretogogue of atrial natriuretic factor, which is a naturally occurring antagonist of endothelin. The ETA receptor appears to mediate endothelin’s actions of vasoconstriction and the stimulation of atrial natriuretic factor secretion, and the ETB receptor mediates endothelin-induced vasodilation and activation of the renin-angiotensin-aldosterone system. Urinary water excretion is mediated through both receptors, but sodium excretion is mediated through the ETA receptor.

Increased concentrations of endothelin described in patients with congestive heart failure are predictive of increased mortality risk. It also has been suggested that increased concentrations of endothelin may play an important role in the increased systemic vascular resistance observed in congestive heart failure.

There is early clinical evidence that treatment with ETA receptor antagonists and ECE inhibitors can influence favorably the course of human heart failure.  ACE inhibitors may also benefit patients with heart failure because of their antiendothelin actions.

Pulmonary hypertension. Expression of ET1 in the lung has been studied by immunocytochemistry and hybridization in situ in specimens from patients with pulmonary hypertension of primary or secondary causes. In contrast to normal lung, specimens from patients with pulmonary hypertension exhibit abundant ET2 immunostaining, particularly over endothelium of markedly hypertrophied muscular pulmonary arteries and plexogenic lesions. Endothelin has been suggested as a potent vasoconstrictor and growth-promoting factor in the pathophysiologic pathophysiologic mechanisms of pulmonary hypertension.

Ventricular and vascular hypertrophy. Endothelin increases DNA synthesis in vascular smooth-muscle ceils, cardiomyocytes, fibroblasts, glial cells, mesangial cells, and other cells; causes expression of protooncogenes; causes cell proliferation; and causes hypertrophy. It acts in synergy with various factors such as transforming growth factor, epidermal growth factor, platelet-derived growth factor, basic fibroblast growth factor and insulin to potentiate cellular transformation and replication. This synergy suggests that all of these factors act through common pathways involving PKC and cyclic adenosine monophosphate. Endothelin per se may not be a direct mediator of angiogenesis but may function as a comitogenic factor.

Neointima formation after vascular wall trauma. The efficacy of coronary angioplasty is limited by the high incidence of restenosis. ET1 induces cultured vascular smooth-muscle cell proliferation by activation of the ETA-receptor subtype, a response that normally is attenuated by an intact, functional endothelium. In addition, ET1 also induces the expression and release of several protooncogenes and growth factors that modulate smooth-muscle cell migration, proliferation, and matrix formulation. In addition to inhibiting smooth-muscle cell proliferation in vitro, endothelin-receptor antagonism with SB 209670 ameliorates the degree of neointima formation observed after rat carotid artery angioplasty. The observations raise the possibility that ET1 antagonists will serve as novel therapeutic agents in the control of restenosis.

Nonspecific endothelin antagonists
ECE inhibitorsAngiotensin-converting-enzyme inhibitorsAngiotensin II receptor blocking agentsCalcium-entry blocking agentsPotassium-channel opening agentsAdenosineNitroglycerin

 

 

 

 

SUMMARY

Endothelin is the most potent mammalian vasoconstrictor yet discovered. Its three isoforms play leading roles in regulating vascular tone and causing mitogenesis. The isoforms bind to two major receptor subtypes (ETA and ETB), which mediate a wide variety of physiologic actions in several organ systems. Endothelin may also be a disease marker or an etiologic factor in ischemic heart disease, atherosclerosis, congestive heart failure, renal failure, myocardial and vascular wall hypertrophy, systemic hypertension, pulmonary hypertension, and subarachnoid hemorrhage. Specific and nonspecific receptor antagonists and ECE inhibitors that have been developed interfere with endothelin’s function. Many available cardiovascular therapeutic agents, such as angiotensin-converting-enzyme inhibitors, calcium-entry blocking drugs, and nitroglycerin, also may interfere with endothelin release or may modify its activity. The endothelin antagonists have great potential as agents for use in the treatment of a wide spectrum of disease entities and as biologic probes for understanding the actions of endothelin in human beings.

Endothelin receptor antagonists

Sophie Motte, Kathleen McEntee, Robert Naeije
Pharmacology & Therapeutics 110 (2006) 386 – 414
http://dx.doi.org:/10.1016/j.pharmthera.2005.08.012

Endothelin receptor antagonists (ERAs) have been developed to block the effects of endothelin-1 (ET-1) in a variety of cardiovascular conditions. ET-1 is a powerful vasoconstrictor with mitogenic or co-mitogenic properties, which acts through the stimulation of 2 subtypes of receptors [endothelin receptor subtype A (ETA) and endothelin receptor subtype B (ETB) receptors]. Endogenous ET-1 is involved in a variety of conditions including systemic and pulmonary hypertension (PH), congestive heart failure (CHF), vascular remodeling (restenosis, atherosclerosis), renal failure, cancer, and cerebrovascular disease. The first dual ETA/ETB receptor blocker, bosentan, has already been approved by the Food and Drug Administration for the treatment of pulmonary arterial hypertension (PAH). Trials of endothelin receptor antagonists in heart failure have been completed with mixed results so far. Studies are ongoing on the effects of selective ETA antagonists or dual ETA/ETB antagonists in lung fibrosis, cancer, and subarachnoid hemorrhage. While non-peptidic ET-1 receptor antagonists suitable for oral intake with excellent bioavailability have become available, proven efficacy is limited to pulmonary hypertension, but it is possible that these agents might find a place in the treatment of several cardiovascular and non-cardiovascular diseases in the coming future.

Proposed mechanism by which ET-1 triggers vasoconstriction and vascular remodeling. Activation of G-protein-coupled endothelin receptors leads to stimulation of phospholipase C (PLC) which hydrolyses phosphatidyl inositol  biphosphate (PIP2) into inositol triphosphate (IP3) and diacylglycerol (DAG). DAG opens receptor-operated Ca++ channels (ROC) while IP3 induces Ca++ mobilization from the sarcoplasmic reticulum (SR) and opens store-operated Ca++ channels (SOC) directly or indirectly by store depletion to further increase cytosolic Ca++. This Ca++ increase may also trigger Ca++ release from the SR through ryanodine receptors. Depolarization induced by the opening of non-selective cationic channels (NSCC) via ET-1 and Ca++-activated Cl[1] channels as well as by the inhibition of voltage-gated K+ channels (Kv), opens voltage-dependent Ca++ channels (VDCC) to further increase the Ca++ entry across the plasma membrane. The cytosolic Ca++ increase may also activate Na/H exchangers resulting in alkalinization of the cells and promoting Ca++ influx by activating the Na/Ca exchanger. In addition, the elevated cytosolic Ca++ concentrations and DAG activate the protein kinase C and thus promote cell cycle progression by the Ca++/calmodulin complex (Ca++/CaM) and induction of proto-oncogenes. The intracellular signaling cascade induced by activation of ETB receptor is similar to the ETA receptor one, in stimulating the activation of PLC, generating IP3 and DAG and mobilizing of calcium. However, the PLA2 is also activated via ETB receptors to release prostaglandins (PG) and thromboxane A2 (TXA2).

Endothelin-1 increases isoprenaline-enhanced cyclic AMP levels in cerebral cortex

Marıa J. Perez-Alvareza, MC Calcerrada, F Hernandez, RE Catalan, AM Martınez
Regulatory Peptides 88 (2000) 41–46  PII: S0167-0115(99)00118-4

We examined the effect of ET-1 on cyclic AMP levels in rat cerebral cortex. The peptide caused a concentration-dependent increase of [3 H] cyclic AMP accumulation after 10 min of treatment. This effect was due to adenosine accumulation since it was inhibited by the treatment with adenosine deaminase. ET-1, apart from being able to increase cyclic AMP, also potentiated the cyclic AMP generated by isoprenaline in the presence of adenosine deaminase. Experiments performed in the presence of BQ-123 or BQ-788, specific ETA or ETB receptor antagonists respectively indicated that ET was the receptor involved. This effect was dependent on extracellular and B intracellular calcium concentration. These findings suggest that ET-1 plays a modulatory role in cyclic AMP generation systems in cerebral cortex.

Endothelins And Asthma

Roy G. Goldie and Peter J. Henry
Life Sciences I999; 65(1), pp. I-15, PI1 SOO24-3205(98)00614-6

In the decade since endothelin-1 (ET-l) and related endogenous peptides were first identified as vascular endothelium-derived spasmogens, with potential pathophysiological roles in vascular diseases, there has been a significant accumulation of evidence pointing to mediator roles in obstructive respiratory diseases such as asthma. Critical pieces of evidence for this concept include the fact that ET-l is an extremely potent spasmogen in human and animal airway smooth muscle and that it is synthesised in and released from the bronchial epithelium. Importantly, symptomatic asthma involves a marked enhancement of these processes, whereas asthmatics treated with anti-inflammatory glucocorticoids exhibit reductions in these previously elevated indices. Despite this profile, a causal link between ET-l and asthma has not been definitively established. This review attempts to bring together some of the evidence suggesting the potential mediator roles for ET-l in this disease.

Endothelial Cell Peroxisome Proliferator–Activated Receptor ϒ Reduces Endotoxemic Pulmonary Inflammation and Injury

Aravind T. Reddy, SP Lakshmi, JM Kleinhenz, RL Sutliff, CM Hart, and R. Reddy
J Immunol 2012; 189:5411-5420
http://www.jimmunol.org/content/189/11/5411

Bacterial endotoxin (LPS)-mediated sepsis involves severe, dysregulated inflammation that injures the lungs and other organs Bacterial endotoxin (LPS)-mediated sepsis involves severe, dysregulated inflammation that injures the lungs and other organs, often fatally. Vascular endothelial cells are both key mediators and targets of LPS-induced inflammatory responses. The nuclear hormone receptor peroxisome proliferator–activated receptor ϒ (PPARϒ) exerts anti-inflammatory actions in various cells, but it is unknown whether it modulates inflammation through actions within endothelial cells. To determine whether PPARϒ acts within endothelial cells to diminish endotoxemic lung inflammation and injury, we measured inflammatory responses and mediators in mice with endothelial-targeted deletion of PPARϒ. Endothelial cell PPARϒ (ePPARϒ) knockout exacerbated LPS-induced pulmonary inflammation and injury as shown by several measures, including infiltration of inflammatory cells, edema, and production of reactive oxygen species and proinflammatory cytokines, along with upregulation of the LPS receptor TLR4 in lung tissue and increased activation of its downstream signaling pathways. In isolated LPS-stimulated endothelial cells in vitro, absence of PPARϒ enhanced the production of numerous inflammatory markers. We hypothesized that the observed in vivo activity of the ligand-activated ePPARϒ may arise, in part, from nitrated fatty acids (NFAs), a novel class of endogenous PPARϒ ligands.
Supporting this idea, we found that treating isolated endothelial cells with physiologically relevant concentrations of the endogenous NFA 10-nitro-oleate reduced LPS-induced expression of a wide range of inflammatory markers in the presence of PPARϒ, but not in its absence, and also inhibited neutrophil mobility in a PPARϒ-dependent manner. Our results demonstrate a key protective role of ePPARϒ against endotoxemic injury and a potential ePPARϒ-mediated anti-inflammatory role for NFAs.

Endothelins in health and disease

Rahman Shah
European Journal of Internal Medicine 18 (2007) 272–282
http://dx.doi.org:/10.1016/j.ejim.2007.04.002

Endothelins are powerful vasoconstrictor peptides that also play numerous other roles. The endothelin (ET) family consists of three peptides produced by a variety of tissues. Endothelin-1 (ET-1) is the principal isoform produced by the endothelium in the human cardiovascular system, and it exerts its actions through binding to specific receptors, the so-called type A (ETA) and type B (ETB) receptors. ET-1 is primarily a locally acting paracrine substance that appears to contribute to the maintenance of basal vascular tone. It is also activated in several diseases, including congestive heart failure, arterial hypertension, atherosclerosis, endothelial dysfunction, coronary artery diseases, renal failure, cerebrovascular disease, pulmonary arterial hypertension, and sepsis. Thus, ET-1 antagonists are promising new agents. They have been shown to be effective in the management of primary pulmonary hypertension, but disappointing in heart failure. Clinical trials are needed to determine whether manipulation of the ET system will be beneficial in other diseases.

The production of ET receptors is affected by several factors. Hypoxia, cyclosporine, epidermal growth factor, basic fibroblast growth factor, cyclic AMP, and estrogen upregulate ETA receptors in some tissues, and C-type natriuretic hormone, angiotensin II, and perhaps basic fibroblast growth factor up-regulate ETB receptors. In contrast, the endothelins, angiotensin II, platelet-derived growth factor, and transforming growth factor down-regulate ETA receptors, whereas cyclic AMP and catecholamines down-regulate ETB receptors.

The ETA receptor contains 427 amino acids and binds with the following affinity: ET-1N>T-2>ET-3. It is predominantly expressed in vascular smooth muscle cells and cardiac myocytes. Its interaction with ET-1 results in vasoconstriction and cell proliferation. In contrast, the ETB receptor contains 442 amino acids and binds all endothelins with equal affinity. It is predominantly expressed on vascular endothelial cells and is linked to an inhibitory G protein. Activation of ETB receptors stimulates the release of NO and prostacyclin, prevents apoptosis, and inhibits ECE-1 expression in endothelial cells. ETB receptors also mediate the pulmonary clearance of circulating ET-1 and the re-uptake of ET-1 by endothelial cells.

All three endothelins cause transient endothelium dependent vasodilatation before the development of constriction, though this is most apparent for ET-1. Endothelins induce vasodilatation via the endothelial cell ETB receptors through generation of endothelium-derived dilator substances (Fig. 3), including nitric oxide (NO), which perhaps acts by physiologically antagonizing ETA receptor mediated vasoconstriction. The transient early vasodilator actions of the endothelins are attenuated by NO synthase inhibitors.  Additionally, ET-1 increases generation of prostacyclin by cultured endothelial cells, whereas cyclo-oxygenase inhibitors potentiate ET-1-induced constriction, suggesting that vasodilator prostaglandins play a similar modulatory role.

It has been proposed that ET-1 can affect vascular tone indirectly through its effect on the sympathetic nervous system, and it has been shown that that ET-1 may increase peripheral sympathetic activity through postsynaptic potentiation of the effects of norepinephrine. While in vitro low concentrations of ET-1 potentiate the effects of other vasoconstrictor hormones, including norepinephrine and serotonin, these findings have not been confirmed in vivo in the forearm resistance bed of healthy subjects.  In addition to its action on vascular vasomotion, ET-1 is thought to be a mediator in the vascular remodeling process. It seems that ET-1 interactions with the renin–angiotensin–aldosterone system play a significant role in this remodeling process.

Vascular actions of endothelin-1

Vascular actions of endothelin-1

Vascular actions of endothelin-1. Modified from – Galie N, Manes A, Branzi A; The endothelin system in pulmonary arterial hypertension. Cardiovasc Res 2004;61:227–37.

ET-1 appears to have a diverse role as a modulator of vascular tone and growth and as a mediator in many cardiovascular and non-cardiovascular diseases. To date, no disease entity, however, has been attributed solely to an abnormality in ET-1. Yet, ET-1 receptor antagonists have been studied in clinical trials involving a wide spectrum of cardiovascular diseases, though the only proven efficacy has been in patients with PAH.

Learning points

  • Endothelins are powerful vasoconstrictors and major regulators of vascular tone.
  • The endothelin (ET) family consists of three peptides (ET-1 ∼60%, ET-2 ∼30%, and ET-3 ∼10%) produced by a variety of tissues.
  • ET-1 is the principal isoform produced by the endothelium in the human cardiovascular system and appears to be foremost a locally acting paracrine substance rather than a circulating endocrine hormone.
  • Several human studies suggest that circulating ET-1 levels, which are elevated in heart failure and pulmonary hypertension, correlate with the prognosis of the disease.
  • ET-1 antagonists have been shown to be effective in the management of primary pulmonary hypertension, but disappointing in heart failure.
  • Clinical trials are needed to investigate the role of ET-1 receptor antagonists for other conditions, as ET-1 levels have been shown to be elevated in arterial hypertension, atherosclerosis, endothelial dysfunction, coronary artery disease, renal failure, cerebrovascular disease, and sepsis.

In Vitro Stability and Intestinal Absorption Characteristics of Hexapeptide Endothelin Receptor Antagonists

Hyo-kyung Han, BH Stewart, AM Doherty, WL Cody and GL Amidon
Life Sciences. I998; 63(18), pp. 1599-1609. PI1 SOO24-3205(98)00429-9

Endothelins are potent vasoconstrictor peptides which have a wide range of tissue distribution and three receptor subtypes (ETA ETB and ETC). Among the linear hexapeptide ETA / ETB receptor antagonists, PD 145065 (Ac-D-Bhg-L-Leu-L-Asp-L-Ile-L-Ile-L-Trp,  Bhg = (10,ll -dihydro-5H-dibenzo[a,d]cyclohepten-5-yl)-Gly) and PD 156252 (Ac-o-Bhg-L-Leu-L-Asp-L-Ile-(N-methyl)-L-Ile-L-Trp) were selected to evaluate the metabolic stability and intestinal absorption in the absence and/or in the presence of protease inhibitors. In vitro stability of both compounds was investigated in fresh plasma, lumenal perfusate, intestinal and liver homogenates. PD 156252 was more stable than PD 145065 in intestinal tissue homogenate (63.4% vs. 20.5% remaining) and liver homogenate (74.4% vs. 35.5 % remaining), while both compounds showed relatively good stability in the fresh plasma (94.5% vs. 86.7% remaining) and lumenal perfusate (85.8% vs. 72.3% remaining). The effect of protease inhibitors on the degradation of PD 145065 and PD 156252 was also investigated. Amastatin, thiorphan, chymostatin and the mixture of these three inhibitors were effective in reducing the degradation of both compounds. The pharmacokinetic parameters of PD 156252, calculated by using a non-compartmental model, were 6.95 min (terminal half-life), 191 mL (Vss), and 25.5 mL/min (Cltot) after intravenous administration in rats. The intestinal absorption of PD 156252 in rats was evaluated in the absence and/or in the presence of protease inhibitors. The results indicate that the major elimination pathway of PD 156252 appears to be the biliary excretion and protease inhibitors increase the intestinal absorption of PD 156252 through increasing metabolic stability.

Inhibitory and facilitatory presynaptic effects of endothelin on sympathetic cotransmission in the rat isolated tail artery

Violeta N. Mutafova-Yambolieva & David P. Westfall
British Journal of Pharmacology (1998) 123, 136 – 142

1 The present study was undertaken to determine the modulatory effects of the endothelin peptides on the neurogenically-induced release of endogenous noradrenaline (NA) and the cotransmitter adenosine 5′-triphosphate (ATP) from the sympathetic nerves of endothelium-free segments of the rat isolated tail artery. The electrical field stimulation (EFS, 8 Hz, 0.5 ms, 3 min) evoked over¯ow of NA and ATP, in the absence of endothelins, was 0.035+0.002 pmol mg71 tissue and 0.026+0.002 pmol mg71 tissue, respectively.

2 Endothelin-1 (ET-1; 1 ± 30 nM) significantly reduced the EFS evoked overflow of both NA and ATP.  The maximum inhibitory effect was produced by a peptide concentration of 10 nM, the amount of NA overflow being 0.020+0.002 pmol mg71 and that of ATP overflow 0.015+0.001 pmol mg71. Higher peptide concentrations (100 and 300 nM) reversed the EFS-evoked overflow of NA to control levels and that of ATP to above control levels. The inhibitory effect of ET-1 (10 nM) was resistant to the selective ETA receptor antagonist cyclo-D-Trp-D-Asp(ONa)-Pro-D-Val-Leu (BQ-123) but was prevented by ETB receptor desensitization with sarafotoxin S6c (StxS6c) or by ETB receptor blockade with N, cis-2,6-dimethyl-piperidinocarbonyl-L-gmethylleucyl-D-1-methoxycarbonyl-tryptophanyl-D-norleucine (BQ-788).

3 StxS6c, upon acute application, exerted a dual effect on transmitter release. At concentrations of 0.001 ± 0.3 nM the peptide significantly reduced the EFS-evoked NA overflow, whereas at concentrations of 1 ± 10 nM it caused a significant increase in the evoked overflow of both ATP and NA. Both the maximum inhibitory effect of StxS6c at a concentration of 0.003 nM approximately 85% reduction of NA overflow and 40% of ATP overflow) and the maximum facilitatory effect of the peptide at a concentration of 3 nM (approximately 400% increase of ATP overflow and 200% of NA overflow) were completely antagonized by either BQ-788 or by StxS6c-induced ETB receptor desensitization.

4 ET-3 (10 ± 100 nM) did not a€ect the EFS evoked overflow of either ATP or NA, but at a concentration of 300 nM significantly potentiated the release of both transmitters (0.118+ 0.02 pmol mg71 tissue ATP overflow and .077+0.004 pmol mg71 NA overflow). This effect was prevented either by BQ-123 or by BQ-788.

5 In summary, the endothelin peptides exerted both facilitatory and inhibitory effects on the neurogenically-induced release of the sympathetic cotransmitters ATP and NA in the rat tail artery. Both transmitters were modulated in parallel indicating that the endothelins do not differentially modulate the release of NA and ATP in this tissue.

Involvement of the central adrenomedullin peptides in the baroreflex

Meghan M. Taylo, Cynthia A. Keown, Willis K. Samson
Regulatory Peptides 112 (2003) 87– 93
http://dx.doi.org:/10.1016/S0167-0115(03)00026-0

The peptides derived from post-translational processing of preproadreno-medullin are produced in and act on areas of the autonomic nervous system important for blood pressure regulation. We examined the role of endogenous, brain-derived adrenomedullin (AM) and proadrenomedullin N-terminal 20 peptide (PAMP) in the central nervous system arm of the baroreflex by using passive immunoneutralization to block the actions of the endogenous peptides. Our results indicate that the preproadrenomedullin-derived peptides do not play a role in sensing changes in blood pressure (baroreflex sensitivity), but the adrenomedullin peptides do regulate the speed with which an animal returns to a normal, stable blood pressure. These findings suggest that endogenous, brain-derived AM and PAMP participate in the regulation of autonomic activity in response to baroreceptor activation and inactivation.

Pharmacological characterization of cardiovascular responses induced by endothelin-1 in the perfused rat heart

Keiji Kusumoto, A Fujiwara, S Ikeda, T Watanabe, M Fujino
Eur J Pharmacology 296 (1996) 65-74 SSDI 0014-2999(95)00680-X

The effects of the endothelin receptor antagonist TAK-044 (cyclo[D-α-aspartyl-3-[(4-phenylpiperazin-l-yl)carbonyl]-L-alanyl-L-α-aspartyl-D-2-(2-thienyl)-glycyl-L-leucyl-D-tryptophyl] disodium salt) and BQ-123 (cyclo[D-Asp-Pro-D-VaI-Leu-D-Trp]) were studied in the rat heart to characterize the receptor subtypes responsible for the cardiovascular actions of endothelin-1. Endothelin-1 induced a transient decrease and subsequent increase in perfusion pressure in perfused rat hearts, and increased left ventricular developed pressure. TAK-044 diminished these endothelin-l-induced responses (100 pmol/heart) with IC50 values of 140, 57 and 1.3 nM, respectively. BQ-123 (1-30/µM) partially inhibited the endothelin-l-induced hypertension (30-40%) in the rat heart, and failed to inhibit the hypotension. The positive inotropic effect of endothelin-1 was abolished by BQ-123. Neither indomethacin (10/µM) nor N’°-nitro-L-arginine methyl ester (100/pM) attenuated the  endothelin-l-induced hypotension. TAK-044 and BQ-123 attenuated the positive inotropic effect of endothelin-1 in rat papillary muscles. In rat cardiac membrane fractions, TAK-044 and BQ-123 inhibited [125I]endothelin-1 binding to endothelin ET A receptors with IC50 values of 0.39 + 0.6 and 36 + 9 nM, respectively, whereas only TAK-044 potently blocked the endothelin ET B receptor subtype (IC50 value: 370 + 180 nM). These results suggest that endothelin-1 modulates cardiovascular functions in the rat heart by activating both endothelin ET A and endothelin ET B receptors, all of which are sensitive to TAK-044.

Molecular Pharmacology and Pathophysiological Significance of Endothelin

Katsutoshi Goto, Hiroshi Hama and Yoshitoshi Kasuya
Jp J Pharmacol 1996; 72: 261-290

Since the discovery of the most potent vasoconstrictor peptide, endothelin, in 1988, explosive investigations have rapidly clarified much of the basic pharmacological, biochemical and molecular biological features of endothelin, including the presence and structure of isopeptides and their genes (endothelin- 1, -2 and -3), regulation of gene expression, intracellular processing, specific endothelia converting enzyme (ECE), receptor subtypes (ETA and ETB), intracellular signal transduction following receptor activation, etc. ECE was recently cloned, and its structure was shown to be a single transmembrane protein with a short intracellular N-terminal and a long extracellular C-terminal that contains the catalytic domain and numerous N-glycosylation sites. In addition to acute contractile or secretory actions, endothelin has been shown to exert long-term proliferative actions on many cell types. In this case, intracellular signal transduction appears to converge to activation of mitogen-activated protein kinase. As a recent dramatic advance, a number of non-peptide and orally active receptor antagonists have been developed. They, as well as current peptide antagonists, markedly accelerated the pace of investigations into the true pathophysiological roles of endogenous endothelin-1 in mature animals.

The discovery of endothelin in 1988 soon triggered explosive investigations of a worldwide scale, presumably due to its unusual characteristics; i.e., marked potency and long-lasting pressor actions. As a result, most of the basic problems concerned with the science of endothelin have rapidly been solved; e.g., features and regulations of the expression of endothelin genes,  biosynthetic pathways including characterization and cloning of endothelin converting enzyme, pharmacological, biochemical and molecular-biological identification of endothelin receptor subtypes, intracellular signal transduction following receptor activation, and discovery of various receptor agonists and antagonists. In addition to its potent cardiovascular actions, endothelin-1 shows a wide variety of biological effects, including contraction of nonvascular smooth muscle (intestinal, tracheal, broncheal, mesangial, bladder, uterine and prostatic smooth muscle), stimulation of neuropeptides, pituitary hormone and atrial natriuretic peptide release and aldosterone biosynthesis, modulation of neurotransmitter release, and increase of bone resorption. Furthermore, endothelin-1 has mitogenic properties and causes proliferation and hypertrophy of a number of cell types, including vascular smooth muscle cells, cardiac myocytes, mesangial cells, bronchial smooth muscle cells and fibroblasts. Endothelin-1 also induces the expression of several protooncogenes (c fos, C -Jun, c-myc, etc.).

These actions, whereby endothelin- 1 might influence the development of cellular hypertrophy/hyperplasia, are of potential significance in pathophysiological conditions associated with long-term changes in cardiovascular tissues, e.g., hypertension, myocardial infarction, chronic heart failure, vascular restenosis following balloon angioplasty, and atherosclerosis. These pathophysiological conditions are usually associated with increased plasma levels of endothelin-1, although the correlation is relatively poor. Nevertheless, a considerable increase in the tissue content of endothelin-1 has been gradually uncovered in many cases of these conditions. Even if the concentration of endothelin-1 at the cell surface is not high enough to induce contraction, it is well known that subthreshold concentrations of endothelin will enhance or potentiate the contraction produced by other vasoconstrictors (e.g., norepinephrine, serotonin, angiotensin II), indicating the existence of cross-talk among various vasoactive substances. Another important cross-talk among these substances may be mutual enhancement or inhibition of their expression in various tissues. In addition to these interactions, the true physiological and/or pathophysiological roles of each of the endothelin family peptide and receptor subtypes remain to be investigated.

Hydrogen Sulfide and Endothelium-Dependent Vasorelaxation

Jerzy Bełtowski, and Anna Jamroz-Wiśniewska
Molecules 2014, 19, 21183-21199; http://dx.doi.org:/10.3390/molecules191221183

In addition to nitric oxide and carbon monoxide, hydrogen sulfide (H2S), synthesized enzymatically from L-cysteine or L-homocysteine, is the third gasotransmitter in mammals. Endogenous H2S is involved in the regulation of many physiological processes, including vascular tone. Although initially it was suggested that in the vascular wall H2S is synthesized only by smooth muscle cells and relaxes them by activating ATP-sensitive potassium channels, more recent studies indicate that H2S is synthesized in endothelial cells as well. Endothelial H2S production is stimulated by many factors, including acetylcholine, shear stress, adipose tissue hormone leptin, estrogens and plant flavonoids. In some vascular preparations H2S plays a role of endothelium-derived hyperpolarizing factor by activating small and intermediate-conductance calcium-activated potassium channels. Endothelial H2S signaling is up-regulated in some pathologies, such as obesity and cerebral ischemia-reperfusion. In addition, H2S activates endothelial NO synthase and inhibits cGMP degradation by phosphodiesterase thus potentiating the effect of NO-cGMP pathway. Moreover, H2S-derived polysulfides directly activate protein kinase G. Finally, H2S interacts with NO to form nitroxyl (HNO)—a potent vasorelaxant. H2S appears to play an important and multidimensional role in endothelium-dependent vasorelaxation.

GPCR modulation by RAMPs

Debbie L. Hay, David R. Poyner, Patrick M. Sexton
Pharmacology & Therapeutics 109 (2006) 173 – 197
http://dx.doi.org:/10.1016/j.pharmthera.2005.06.015

Our conceptual understanding of the molecular architecture of G-protein coupled receptors (GPCRs) has transformed over the last decade. Once considered as largely independent functional units (aside from their interaction with the G-protein itself), it is now clear that a single GPCR is but part of a multifaceted signaling complex, each component providing an additional layer of sophistication. Receptor activity modifying proteins (RAMPs) provide a notable example of proteins that interact with GPCRs to modify their function. They act as pharmacological switches, modifying GPCR pharmacology for a particular subset of receptors. However, there is accumulating evidence that these ubiquitous proteins have a broader role, regulating signaling and receptor trafficking. This article aims to provide the reader with a comprehensive appraisal of RAMP literature and perhaps some insight into
the impact that their discovery has had on those who study GPCRs.

RAMPs were first identified during attempts to expression clone a receptor for the neuropeptide calcitonin gene related peptide (CGRP; McLatchie et al., 1998). Historical evidence had suggested that CGRP acted through a GPCR, as its binding had proven sensitive to GTP analogues and stimulation of various tissues and cells led to the accumulation of cAMP, suggesting activation of a Gs-coupled GPCR. However, attempts to clone such a receptor proved difficult. A putative canine CGRP receptor, RDC-1, was identified in 1995, but the original findings have not been replicated and current IUPHAR guidelines do not consider this receptor a genuine CGRP receptor (Kapas & Clark, 1995; Poyner et al., 2002). Shortly afterward, a further orphan receptor (CL, a close homologue of the calcitonin receptor) was shown to be activated by CGRP when transfected into HEK293 cells (Aiyar et al., 1996). This finding posed something of a conundrum since earlier attempts to examine the function of this receptor (or its rat homologue) in Cos 7 cells had not given positive results with CGRP.
Given the apparent functionality of the human CL receptor in HEK293 cells, the rat homologue was also transfected into this cell type and now responded to CGRP (Han et al., 1997). The authors speculated that there was a factor present in HEK293 cells that conferred high affinity for CGRP on the receptor.

In 1998, McLatchie and colleagues confirmed this speculation and provided new insights into the way that GPCRs and their pharmacology can be regulated (McLatchie et al., 1998). It was discovered that a novel family of single transmembrane domain proteins, termed RAMPs, was required for functional expression of CL at the cell surface, explaining why it had been so difficult to observe CGRP binding or function when CL was transfected into cells lacking RAMP expression (Fluhmann et al., 1995; Han et al., 1997; McLatchie et al., 1998). RAMPs were first identified from a library derived from SK-N-MC cells, cells known to express CGRP receptors. An expression-cloning strategy was utilized, whereby an SK-N-MC cDNA library was transcribed and the corresponding cRNA was used for injection into Xenopus oocytes. Cystic
fibrosis transmembrane regulator chloride conductance, a reporter for cAMP formation, was strongly potentiated by a single cRNA pool (in the presence of CGRP). Subsequently, a single cDNA encoding a 148-amino-acid protein comprising RAMP1 was isolated. The structure of the protein was unexpected, as it was not a GPCR and it did not respond to CGRP in mammalian cells. Thus, it was postulated that RAMP1 might potentiate CGRP receptors. A CL/RAMP1 co-transfection experiment supported this hypothesis.

CGRP/AM on the outside of the cell and did not simply act as anchoring/chaperone proteins for CL. RAMPs therefore provide a novel mechanism for modulating receptor–ligand specificity. The unique pharmacological profiles supported by RAMPs are discussed in later sections.

Fig. (not shown).  CGRP1 receptor-specific small molecule antagonists. The small molecule antagonist BIBN4096 BS (brown) is a specific antagonist of the CGRP1 receptor, acting at the interface between RAMP1 and the CL receptor to inhibit CGRP action. At least part of the binding affinity for BIBN4096 BS arises from interaction with Trp74 (red) of RAMP1. In contrast, antagonists that bind principally to the CL component of the complex will not discriminate between different CL/RAMP complexes.

The classic function attributed to RAMPs is their ability to switch the pharmacology of CL, thus providing a novel mechanism for modulating receptor specificity. Thus, the CL/RAMP1 complex is a high affinity CGRP receptor, but in the presence of RAMP2, CL specificity is radically altered, the related peptide AM being recognized with the highest affinity and the affinity for CGRP being reduced ¨100-fold. While AM is the highest affinity peptide, CGRP is recognized with moderate, rather than low affinity. Indeed, depending on the species and the form of CGRP (h vs. a), the separation between the 2 peptides can be as little as 10-fold (Hay et al., 2003a). This may particularly be true if receptor components of mixed species are used. The detailed pharmacology of the CGRP and AM receptors formed by RAMP interaction with CL has recently been reviewed (Born et al., 2002; Poyner et al., 2002; Hay et al., 2004; Kuwasako et al., 2004).

Fig. (not shown). The broadening spectrum of RAMP–receptor interactions. RAMPs can interact with multiple receptor partners. All RAMPs interact with the calcitonin receptor-like receptor (CL-R), the calcitonin receptor (CTR), and the VPAC1 receptor, while the glucagon and PTH1 receptors interact with RAMP2, the PTH2 receptor with RAMP3, and the calcium sensing receptor (CalS-R) with RAMP1 or RAMP3. The consequence of RAMP interaction varies. For the CL and CalS receptors, RAMPs play a chaperone role, allowing cell surface expression. For the CL and calcitonin receptors, RAMP interaction leads to novel receptor binding phenotypes . There is also evidence that RAMP interaction will modify signaling, and this has been seen for the VPAC1–RAMP2 heterodimer and for calcitonin receptor/RAMP complexes. In many instances, however, the consequence of RAMP interaction has yet to be defined.

Overall, the distribution data presented so far are supportive of the hypothesis that RAMP and CL or calcitonin receptor combinations are able to account for the observed CGRP, AM, and AMY pharmacology. A salient point for CGRP receptors relates to the cerebellum, where the lack of CL mRNA in some studies despite abundant CGRP binding has prompted speculation of alternative CGRP receptors (Oliver et al., 2001; Chauhan et al., 2003). Nevertheless, this apparent lack is study dependent and CL has been identified in cerebellum in other studies.

Some consideration has been given to the potential role that RAMPs may have in modifying receptor behaviors other than ligand binding pharmacology. An additional functional consequence might be that of alteration of receptor signaling characteristics.

While there is currently little evidence for signaling modifications of CL-based receptors in association with RAMPs, a completely different paradigm is evident for the VPAC1 receptor. This receptor has strong interactions with all 3 RAMPs, but its pharmacology, in terms of agonist binding, does not appear to be modified by their presence. On the other hand, there was a clear functional consequence of RAMP2 overexpression with the VPAC1 receptor where PI hydrolysis was specifically augmented relative to cAMP, which did not change. The potency of the response (EC50 of vasoactive intestinal peptide) was not altered, but the maximal PI hydrolysis response was elevated in the presence of RAMP2 . It has been suggested that this may reflect a change in compartmentalization of the receptor signaling complex. Such augmentation was not evident for the interaction of the VPAC1 receptor with RAMP1 or RAMP3; in these cases, the outcome of heterodimerization may be more subtle or involve the modification of different receptor parameters such as trafficking.

RAMPs transformed our understanding of how receptor pharmacology can be modulated and provided a novel mechanism for generating receptor subtypes within a subset of family B GPCRs. Their role has now broadened and they have been shown to interact with several other family B GPCRs, in 1 case modifying signaling parameters. There is now evidence to suggest that their interactions also reach into family C, and possibly family A, GPCRs, indicating that their function may not be restricted to modulation of a highly specific subset of receptors. Indeed, many aspects of RAMP function remain poorly understood, and the full extent of their action remains to be explored.

Receptor activity modifying proteins

Patrick M. Sexton, Anthony Albiston, Maria Morfis, Nanda Tilakaratne
Cellular Signalling 13 (2001) 73-83  PII: S0898-6568(00)00143-1

Our understanding of G protein-coupled receptor (GPCR) function has recently expanded to encompass novel protein interactions that underlie both cell-surface receptor expression and the exhibited phenotype. The most notable examples are those involving receptor activity modifying proteins (RAMPs). RAMP association with the calcitonin (CT) receptor-like receptor (CRLR) traffics this receptor to the cell surface where individual RAMPs dictate the expression of unique phenotypes. A similar function has been ascribed to RAMP interaction with the CT receptor (CTR) gene product. This review examines
our current state of knowledge of the mechanisms underlying RAMP function.

It is now evident that RAMPs can interact with receptors other than CRLR. Expression of amylin receptor phenotypes requires the coexpression of
RAMPs with the CTR gene product. However, as seen in CRLR, the phenotype engendered by individual RAMPs was distinct. In COS-7 or rabbit aortic endothelial cells (RAECs), RAMP1 and RAMP3 induced amylin receptors that differ in their affinity for CGRP, while RAMP2 was relatively ineffective in inducing amylin receptor phenotype. RAMP2 can also induce an amylin receptor phenotype, which is distinct from either the RAMP1- or RAMP3-induced receptors. However, the efficacy of RAMP2 was highly dependent upon the cellular background and the isoform of CTR used in the study.

In humans, the major CTR variants differ by the presence or absence of a 16 amino acid insert in the first intracellular domain, with the insert negative isoform (hCTRI1ÿ) being the most commonly expressed form and the variant used for initial studies with RAMPs. Unlike hCTRI1ÿ, cotransfection of the hCTRI1+ variant with any of the RAMPs into COS-7 cells caused strong induction of amylin receptor phenotype. The hCTR isoforms differ in their ability to activate signaling pathways (presumably due to an effect on G protein coupling) and to internalize in response to agonist treatment, which may suggest a role for G proteins in the ability of RAMPs to alter receptor phenotype.

There are at least three potential consequences of RAMP interaction with its associating receptors. The first is trafficking of receptor protein from an intracellular compartment to the cell surface. The second is an alteration in
the terminal glycosylation of the receptor, and the third is alteration of receptor phenotype, presumably through a direct or indirect effect on the ligand-binding site.

potential actions of RAMPs

potential actions of RAMPs

Schematic diagram illustrating potential actions of RAMPs. (A) RAMPs facilitate the trafficking of CRLR from an intracellular compartment to the cell surface. (B) RAMP1 (but not RAMP2 or RAMP3) modifies the terminal glycosylation
of CRLR. (C) The cell surface RAMP1±CRLR complex is a Type 1 CGRP receptor, which displays a 1:1 stoichiometry. (D,E) Cell surface RAMP2±CRLR and  RAMP3±CRLR complexes are adrenomedullin receptors. (F,G) For at least RAMP1 and RAMP3, RAMPs form stable homodimers, although the function
of these complexes is unknown. (H) Unlike CRLR, the CTR gene product is trafficked to the cell surface in the absence of RAMPs, where it displays classical CTR phenotype. (I,J) RAMP1± and RAMP3±CTR complexes form distinct amylin receptors. RAMP2 can also generate a separate amylin receptor phenotype (not illustrated). (C ±E,I,J) RAMPs are trafficked with either receptor to the plasma membrane. (K) For all three RAMP±CRLR complexes, agonist treatment causes clathrin-mediated internalization of both CRLR and RAMP.
(L) The majority of the internalized complex is targeted to the lysosomal-degradation pathway.

The data from Zumpe et al. suggest that RAMP2 interacts more weakly with the hCTRI1ÿ than RAMP1, and that the affinity of this interaction derives principally from the transmembrane domain/C-terminus (Ct) of the RAMPs. As RAMP3 induces an amylin receptor phenotype in COS-7 cells where RAMP2 is relatively weak, it is inferred that RAMP3 interaction with the hCTRI1ÿ is probably greater than that of RAMP2. Nonetheless, this has not been examined empirically. Given the recent data suggesting a potential role for G protein coupling in expression of RAMP-induced phenotype, it is also possible that the strength of RAMP interaction is, at least partially, dictated by receptor-G protein or RAMP-G protein interaction.

The discovery of RAMPs has led to a greater understanding of the nature of receptor diversity. However, although much progress has been made into elucidating the molecular mechanism of RAMP action, emerging data continue to open up new areas for investigation. These include identification of other RAMP-interacting receptors, understanding of the role of specific G proteins in RAMP-receptor function and the potential importance of RAMP regulation in disease progression. It also seems likely that the RAMP-receptor interface can provide a useful target for future drug development.

Cardiovascular endothelins: Essential regulators of cardiovascular homeostasis

Friedrich Brunner, C Bras-Silva, AS Cerdeira, AF Leite-Moreira
Pharmacology & Therapeutics 111 (2006) 508 – 531
http://dx.doi.org:/10.1016/j.pharmthera.2005.11.001

The endothelin (ET) system consists of 3 ET isopeptides, several isoforms of activating peptidases, and 2 G-protein-coupled receptors, ETA and ETB, that are linked to multiple signaling pathways. In the cardiovascular system, the components of the ET family are expressed in several tissues, notably the vascular endothelium, smooth muscle cells, and cardiomyocytes. There is general agreement that ETs play important physiological roles in the regulation of normal cardiovascular function, and excessive generation of ET isopeptides has been linked to major cardiovascular pathologies, including hypertension and heart failure. However, several recent clinical trials with ET receptor antagonists were disappointing.

In the present review, the authors take the stance that ETs are mainly and foremost essential regulators of cardiovascular function, hence that antagonizing normal ET actions, even in patients, will potentially do more harm than good. To support this notion, we describe the predominant roles of ETs in blood vessels, which are (indirect) vasodilatation and ET clearance from plasma and interstitial spaces, against the background of the subcellular mechanisms mediating these effects. Furthermore, important roles of ETs in regulating and adapting heart functions to different needs are addressed, including recent progress in understanding the effects of ETs on diastolic function, adaptations to changes in preload, and the interactions between endocardial-derived ET-1 and myocardial pump function. Finally, the potential dangers (and gains) resulting from the suppression of excessive generation or activity of ETs occurring in some cardiovascular pathological states, such as hypertension, myocardial ischemia, and heart failure, are discussed.

Figure (not shown):  Synthesis of ET and its regulation. The release of active ET-1 is controlled via regulation of gene transcription and/or endothelin converting enzyme activity. ET-1 synthesis is stimulated by several factors, of which hypoxia seems to be the most potent in humans (see text). ET-1 formation is down-regulated by activators of the NO/cGMP pathway and other factors.

Figure (not shown): Vascular actions of ET. In healthy blood vessels, the main action of ET-1 is indirect vasodilatation mediated by ETB receptors located on endothelial cells. Their activation generates a Ca2+ signal via PLC that turns on the generation of NO, prostacyclin, adrenomedullin, and other mediators that are powerful relaxants of smooth muscle. On the other hand, binding of ET-1 to ETA receptors located on smooth muscle cells will lead to vascular contraction (physiological effect) and/or wall thickening, inflammation, and tissue remodeling (pathological effects). These latter effects may partly be mediated by vascular ETB2 receptors in certain disease states. Smooth muscle cell signaling involves DAG formation, PKC activation, and extracellular Ca2+ recruited via different cation channels. The specificity of the cellular response resides at the level of G proteins, that is, G-as or G-aq in the case of ETA, G-ai or G-aq for ETB.

signal transduction mechanisms involved in ET-1-mediated positive (left) and negative (right) inotropic effects

signal transduction mechanisms involved in ET-1-mediated positive (left) and negative (right) inotropic effects

Summary of proposed signal transduction mechanisms involved in ET-1-mediated positive (left) and negative (right) inotropic effects. Left: Stimulation of ETA receptors causes Gq protein-directed activation of PLC, formation of IP3 and DAG, and activation of NHE-1. Increased contractile force is the result of (i) Ca2+ release from the sarco(endo)plasmic reticulum, (ii) sensitization of cardiac myofilaments to Ca2+ due to cellular alkalosis, and (iii) increased Ca2+ influx through the NCX operating in reverse mode. The contribution of voltage-gated L-type Ca2+ channels to the systolic Ca2+ transient is unknown, as is the role of myocyte ETB2 receptors. Right: The ET receptor subtypes mediating negative inotropic effects are poorly known. Two main signaling mechanisms involve (i) inhibition of adenylyl cyclase (AC), guided by a G protein, of unknown binding preference, which results in decreased levels of cAMP; (ii) cGMP-mediated activation of phosphatases that dephosphorylate putative targets resulting from cAMP/protein kinase A (PKA) activation. Other kinases like PKC and PKG have also been implicated in accentuated force antagonism.

Adrenomedullin (11–26): a novel endogenous hypertensive peptide isolated from bovine adrenal medulla

Kazuo Kitamuraa,*, Eizaburo Matsuia, Jhoji Katoa, Fumi Katoha
Peptides 22 (2001) 1713–1718 PII: S0196-9781(01)00529-0

Adrenomedullin (AM) is a potent hypotensive peptide originally isolated from pheochromocytoma tissue. Both the ring structure and the C-terminal amide structure of AM are essential for its hypotensive activity. We have developed an RIA which recognizes the ring structure of human AM. Using this RIA, we have characterized the molecular form of AM in bovine adrenal medulla. Gel filtration chromatography revealed that three major peaks of immunoreactive AM existed in the adrenal medulla. The peptide corresponding to Mr 1500 Da was further purified to homogeneity. The peptide was determined to be AM (11–26) which has one intramolecular disulfide bond. Amino acid sequences of bovine AM and its precursor were deduced from the analyses of cDNA encoding bovine AM precursor. The synthetic AM (11–26) produced dose-dependent strong pressor responses in unanesthetized rats in vivo. The hypertensive activity lasted about one minute, and a dose dependent increase in heart rate was also observed. The present data indicate that AM (11–26) is a major component of immunoreactive AM in bovine adrenal medulla and shows pressor activity.

The pressor effect of AM(11–26) was examined by methods similar to those reported for Neuropeptide Y.

We have established a sensitive RIA system using a monoclonal antibody which recognizes the ring structure of human AM. Human AM antiserum recognized the peptide with high affinity at a final dilution of 1:2,800,000. The half maximal inhibition of radioiodinated ligand binding by human AM was observed at 10 fmol/tube. From 1 to 128 fmol/tube of AM was measurable by this RIA system. The intra- and inter-assay coefficients of variance were less than 6% and 9%, respectively. This RIA had 100% cross-reactivity with human AM(13–31), (1–25), (1–52)Gly and AM(1–52)CONH2, but less than 1% cross-reactivity with rat AM.

Sephadex G-50 gel-filtration of strongly basic peptide extract (SP-III) in bovine adrenal medulla identified three major peaks of immunoreactive AM. One emerged at the identical position of authentic AM, the other two unknown peaks were eluted later at molecular weights estimated to be 3000 and 1500 Da, respectively. The peptide corresponding to Mr 1500 Da was further purified.

The purified peptide (20 pmol) was subjected to a gas phase sequencer, and the amino acid sequence was determined up to the 16th residue, which was found to be C terminus . It was found that the purified peptide was AM (11–26). The structure of AM (11–26) was confirmed by chromatographic comparison with native AM (11–26) as well as a synthetic AM (11–26), which has one intramolecular disulfide bond.

3 clones were isolated, and the clone designated pBAM-2, which harbored the longest insert of 1,438 base, was used for sequencing. The bovine AM cDNA contained a single open reading frame encoding a putative 188 amino acid polypeptide. The first 21-residue peptide is thought to be a signal peptide. The bovine AM propeptide contains three signals of dibasic amino acid sequences, Lys-Arg or Arg-Arg. The first Lys-Arg followed proadrenomedullin N-terminal 20 peptide (PAMP) sequences. AM is located between the second signal of Lys-Arg and the third signal of Arg-Arg. Gly residues, which are donors of C-terminal amide structure of PAMP and AM, are found before the first and third signal of Lys-Arg and Arg-Arg. Bovine AM consists of 52 amino acids and is identical to human AM with exception of four amino acids. Bovine PAMP consists of 20 amino acids and is identical to human PAMP with exception of one amino acid. The present cDNA sequence encoding bovine AM precursor is almost identical to those of the reported AM cDNA sequences from bovine aortic endothelial cells. However, a difference in one amino acid was found in the sequences of signal peptide. In addition, three different residues of nucleotides were found in the noncoding region of cDNA encoding bovine preproadreno-medullin.

AM(11–26) elicited a potent hypertensive effects in unanesthetized rats.
When AM(11–26) at 20 nmol/kg was injected i.v., the maximum increase of mean blood pressure was 50  7.1 mmHg. Similarly, the synthetic AM(11–26) produced dose-dependent strong pressor responses in unanesthetized rats in vivo. (Blood pressure increase; F(3, 20 = 13.845, P < 0.0001). Injection of saline did not affects blood pressure and heart rate. The hypertensive activity lasted about 70 s, and a dose dependent increase of heart rate was also observed (Heart rate increase; F(3, 20) = 6.151, P = 0.0039).

We have isolated and characterized bovine AM(11–26) from bovine adrenal medulla as an endogenous peptide. The hallmark biological effects of AM are vasodilation and hypotensive effects in the vascular systems of most species. The mature form of AM has one ring structure formed by an intramolecular disulfide bond and a C terminal amide structure, both of which are essential for the hypotensive and other biological activities of AM. Watanabe et al. reported that the synthetic N-terminal fragment of human AM, AM (1–25)COOH and other related peptides, show vasopressor activity in anesthetized rats. The present purification and characterization of AM(11–26) indicate that the ring structure of AM may function as a biologically active endogenous peptide. The peptide corresponding to Mr 1,500 Da was further purified to homogeneity.

The purified peptide was found to be AM(11–26) which has one intramolecular disulfide bond. The structure of AM(11–26) was confirmed by chromatographic comparison with native AM(11–26) as well as a synthetic specimen which was prepared according to the determined sequence. The structure of bovine AM and related peptides were determined by cDNA analysis encoding bovine AM. Bovine AM consists of 52 amino acids whose sequence is identical to the human sequences with the exception of four amino acids. Furthermore, according to the cDNA analysis and chromatographic comparison of the synthetic AM(11–26) and purified AM, is now determined to be cystine. It should be noted that the structure of bovine AM(11–26) is identical to human AM(11–26).

It is well known that many peptide hormones and neuropeptides are processed from larger, biologically inactive precursors by the specific processing enzyme. It usually recognizes pairs of basic amino acids, processing signals, such as primarily Lys-Arg and Arg-Arg. AM (11–26) is not flanked by such a processing signal, but it was reproducibly observed in bovine adrenal medulla peptide extract. The molar ratio of AM(11–26)/AM was estimated to be 40%. The ratio varied from 5% to 50% according to the individual specimen, but the minor peak corresponding to 1,500 Da was reproducibly observed, suggesting that AM(11–26) is an endogenous peptide. It is likely that AM(11–26) is biosynthesized from AM or AM precursor by a specific enzyme.

In contrast to AM, synthetic bovine AM(11–26) caused potent hypertensive effects in unanesthetized rats. The hypertensive activity of AM(11–26) seems to be comparable to that of AM(1–25) as reported by Watanabe et al.  It was unexpected that AM(11–26) would cause a dose dependent increase of heart rate in unanesthetized rats because vasopressor activity normally causes bradycardia through baroreceptor activation. The hypertensive mechanism is not fully understood, but it has been reported that the vasopressor effect of AM(1–25) might be caused by the release of endogenous catecholamine. We speculate that the released catecholamine counters the baroreceptor function resulting in an increased heart rate and blood pressure. It is possible that AM(11–26) participates in blood pressure control as an endogenous peptide.

A review of the biological properties and clinical implications of adrenomedullin and proadrenomedullin N-terminal 20 peptide (PAMP), hypotensive and vasodilating peptides.

Tanenao Eto
Peptides 22 (2001) 1693–1711 PII: S0196-9781(01)00513-7

Adrenomedullin (AM), identified from pheochromocytoma and having 52 amino acids, elicits a long-lasting vasodilatation and diuresis. AM is mainly mediated by the intracellular adenylate cyclase coupled with cyclic adenosine monophosphate (cAMP) and nitric oxide (NO) -cyclic guanosine monophosphate (cGMP) pathway through its specific receptor. The calcitonin receptor-like receptor (CLCR) and receptor-activity modifying protein (RAMP) 2 or RAMP3 models have been proposed as the candidate receptor. AM is produced mainly in cardiovascular tissues in response to stimuli such as shear stress and stretch, hormonal factors and cytokines. Recently established AM knockout mice lines revealed that AM is essential for development of vitelline vessels of embryo. Plasma AM levels elevate in cardiovascular diseases such as heart failure, hypertension and septic shock, where AM may play protective roles through its characteristic biological activities. Human AM gene delivery improves hypertension, renal function, cardiac hypertrophy and nephrosclerosis in the hypertensive rats. AM decreases cardiac preload and afterload and improves cardiac contractility and diuresis in patients with heart failure and hypertension. Advances in gene engineering and receptor studies may contribute to further understandings of biological implication and therapeutic availability of AM.

AM acts as a circulating hormone as well as elicits multiple biological activities in a paracrine or autocrine manner. Among them the most characteristic biological activity of AM is a very powerful hypotensive activity caused by dilatation of resistance vessels. A sensitive and specific radioimmunoassay demonstrated that AM circulates in blood and occurs in a variety of tissues. Plasma AM levels elevate in various diseases including cardiovascular and renal disorders or septic shock. Thus, AM may be involved in pathophysiological processes in these diseases, especially in disorders controlling circulation and body fluid. In this short review, the history of AM and proadrenomedullin N-terminal 20 peptide (PAMP) will be reviewed with special references to biological properties and function, receptors, gene engineering and clinical viewpoints. This review includes oral presentations from the aforementioned symposium; some of which have not yet been published. These unpublished oral presentations are quoted in this paper from the abstracts of this symposium.

Preproadrenomedullin, which consists of 185 amino acids and contains a 21-amino acid signal peptide, is processed to synthesize proadrenomedullin and finally AM. In the proadrenomedullin, a unique twenty amino acid sequence followed by a typical amidation signal known as Gly-Lys-Arg, is included in the N-terminal region. This novel 20 residues peptide with carboxyl terminus of Arg-CONH2 is also present in vivo and is termed “proadrenomedullin N-terminal 20 peptide (PAMP).” PAMP elicits a potent hypotensive activity in anesthetized rats.

Although widely distributed in the adenophypophysis and the neural lobe of pituitary glands, AM and PAMP occur in cell-specific, but not overlapping, patterns in the anterior pituitary. This cell-specific expression of each peptide may be explained by differences in posttranslational processing of AM gene. As such, potential pituitary specific transcription factor binding sites, gonadotropic-specific element (GSE) and a binding site for steroidogenic factor-l (SF-1) are found in the 5flanking region of human and mouse AM gene.  SF-1 is a member of the steroid receptor superfamily that has been shown necessary for gonadotrope differentiation within the pituitary. In addition, one putative binding sequence of Pit-1 has been reported in mouse AM gene promoter position.

A specific AM binding protein (AMBP-1) in human plasma was isolated and the purified protein was identified as human complement factor H. AM and factor H interaction may interfere with the radioimmunoassay quantification of circulating AM. Factor H enhances AM-mediated induction of cAMP in fibroblast; augments the AM-mediated growth of a cancer cell line; and suppresses the bactericidal capability of AM on Escherichia coli. Conversely, AM influences the complement regulatory function of factor H by enhancing the cleavage of C3b via factor I. The augmentation of AM actions indicates that AMBP may facilitate the binding of AM to its receptor. In addition, the existence of AMBP suggests that large amounts of AM may circulate bound to this plasma protein.

In rat vascular smooth muscle cells, the CGRP, CGRP1 receptor antagonist, competitively inhibits the intracellular accumulation of cAMP induced by AM. Vasodilation of the rat mesenteric vascular bed elicited by AM and CGRP is also blocked by CGRP. Similar effects of CGRP are observed in the isolated rat heart and its microvasculature. Thus, CGRP1 receptor can mediate some effects of AM, but AM has a low affinity at CGRP2 receptor. Two distinct AM labeled bands with a molecular weight of 120 and 70 kDa was reported in the cultured rat vascular smooth muscle cell membrane. Therefore, the binding specificity and characteristics of the AM receptor may differ regionally by organ or tissue.

Two more RAMP proteins, RAMP2 and RAMP3, were discovered from database searches. These proteins share approximately 30% homology with RAMP1. Co-expression of RAMP2 or RAMP3 with CRLR appears to constitute AM receptor. RAMP2 and RAMP3 are indistinguishable in terms of AM binding. The RAMPs are required to transport CRLR to the plasma membrane. RAMP1 presents CRLR as a mature glycoprotein at the cell surface to form a CGRP receptor. However, receptors transported by RAMP2 or RAMP3 are core glycosylated and then become AM receptors. Three putative N-glycosylation sites Asn 60, Asn 112 and Asn 117 are present in the amino-terminal extracellular domain of the human CRLR. When the glycosylation of a myc-tagged CRLR was inhibited, specific 125I-CGRP and -AM binding were blocked in parallel. Substitution of the Asn 117 by threonine abolished CGRP and AM binding in the face of intact N-glycosylation and cell surface expression. RAMPs are accessory proteins of CTR and CRLR at the cell surface where they define AM, amylin, calcitonin and CGRP specificity.

The receptor component protein (RCP) was cloned on the basis of its ability to potentiate the endogenous Xenopus oocyte CGRP receptor. RCP is a cytosolic protein with no similarity to RAMPs, consists of a hydrophobic 146 amino acids and is obtained from the Corti organ of guinea pig. RCF plays an essential role for signal-transduction of CGRP and AM, and interacts with CRLR directly within the cells. Thus, a functional AM or CGRP receptor seems to consist of at least three proteins: CRLR, RAMP and RCP, coupling the receptor to the intracellular signal-transduction pathway.

By using a chimera of the CRLR and green fluorescent protein (GFP), the study demonstrated that CRLR-GFP failed to generate responses to CGRP or AM without RAMP2 or RAMP3 in HEK 293 cells. When coexpressed with RAMP2 or RAMP3, CRLR-GFP appeared on the cell membrane and activated an intracellular cAMP production and calcium mobilization. Agonist-mediated internalization of CRLR-GFP was observed in RAMP1/CGRP or AM, RAMP2/AM, and RAMP3/AM, which occurred with similar kinetics, indicating the existence of ligand-specific regulation of CRLR internalization by RAMPs.

The discovery of RAMPs has promoted our understandingthat some of the biological activities of AM are blocked by CGRP receptor antagonist, whereas other biological activities are blocked only by AM receptor antagonist, which indicates the possible existence of AM receptor in dual nature. RAMP association with CRLR traffics this receptor to the cell surface where individual RAMPs dictate the expression of unique phenotypes such as CGRP receptor or AM receptors. Apart from receptor trafficking and glycosylation, the RAMPs may interact directly with the receptors in the cell surface modifying their affinities for the ligands.

Since AM was discovered by monitoring the elevating activity of cAMP in rat platelets, cAMP appears to be its major second messenger. Dose-dependent intracellular production of cAMP induced by AM has been confirmed in various tissues and cells. Moreover, information on the role of NO in alternative signal-transduction pathways for AM is available.

The vasodilating effect of AM is reduced by the blockade of NO synthetase activity with NG-nitro-L-arginine methylester (L-NAME), indicating that NO may at least partly contribute to the AM-induced vasodilation. However, the degree of NO contribution to vasodilation varies depending upon the organ or tissue and the species. NO synthetase inhibitor in the pulmonary vascular beds of rat significantly attenuates the AM-induced vasodilation, but it does not occur in cats. Thus, NO seems to be an important AM mediator despite regional and interspecies variation.

In bovine aortic endothelial cells, AM increases intracellular ionic calcium (Ca2+) and causes the accumulation of cAMP. This increase in intracellular Ca2+ may be involved in the activation of phospholipase C, thereby producing inducible NO synthetase and subsequently NO. NO transferred to medial smooth muscle cells may activate cGMP-mediating smooth muscle cells vasodilatation. In contrast, AM lowers both cytosolic Ca2+ and Ca2+ sensitivity in smooth muscle cells of pig coronary arteries and intracellular Ca2+ in rat renal arterial smooth muscle cells.

Among the multi-functional properties of AM, the most characteristic one is an intensive, long-lasting hypotension that is dose-dependent in humans, rats, rabbits, dogs, cats and sheep. AM dilates resistance vessels in the kidneys, brain, lung, hindlimbs in animals as well as in the mesentery. Moreover, AM elicits relaxation of ring preparations of the aorta and cerebral arteries. An i.v. injection of human AM to conscious sheep causes a dose dependent fall of blood pressure, an increase in heart rate and cardiac output with a small reduction in stroke volume, as well as a marked decrease in total peripheral resistance. Coronary blood flow increases in parallel with the increase in coronary conductance. These cardiovascular responses return to the control level by 40 min after the injection.

The low-dose infusion of AM administered to conscious sheep on a low-salt diet antagonizes the vasopressor actions of administered angiotensin II while stimulating cardiac output and heart rate. AM may control cardiovascular homeostasis in part through antagonism of the vasopressor action of angiotensin II. AM inhibits the secretion of endothelin-1 from the vascular endothelial cells and proliferation of vascular smooth muscle cells. In the cultured cardiomyocytes as well as cardiac fibroblasts, AM inhibits protein synthesis in these cells in an autocrine or a paracrine manner, which may result in modulating the cardiac growth. AM inhibits bronchial constriction induced by acetylcholine or histamine in a dose-dependent  manner, indicating the important role of AM on airway function and its usefulness for the management of bronchial asthma. AM inhibits secretion of aldosterone from the adrenal cortex. When infused directly into the adrenal arterial supply of conscious sheep, AM directly inhibits the acute stimulation of aldosterone by angiotensin II,  KCl and ACTH while not affecting basal or chronic aldosterone secretion or cortisol secretion stimulated by ACTH. AM co-exists in insulin-producing cells and it inhibits insulin secretion dose-dependently in isolated rat islets.

The N-terminal region of preproadrenomedullin, the precursor of AM, contains a unique 20-residue sequence followed by Gly-Lys-Arg, a typical amidation signal, which was termed as proadrenomedullin N-terminal 20 peptide (PAMP). PAMP was purified from porcine adrenal medulla and human pheochromo-cytoma by using radioimmunoassay for the peptide and its complete amino acid sequence was determined. In addition to the original form of PAMP [1–20], PAMP [9–20] has recently been purified from the bovine adrenal medulla. The amino acid sequences of both forms of PAMP are identical to amino acid sequences deduced by cDNA analysis and their carboxyl terminus of Arg is amidated. The distribution of PAMP is similar to that of human AM, due to the fact that PAMP as well as human AM is biosynthesized from an AM precursor.

AM is processed from its precursor, proadrenomedullin, as the intermediate or immature form, AM-glycine (AM[1–52]-COOH, immature AM). Subsequently, immature AM is converted to the biologically active mature form, AM [1–52]-CONH2 (mature AM) by enzymatic amidation. The AM circulating in the human blood stream (total AM), thus, consists of both mature AM and immature AM. In earlier studies, plasma AM levels were measured by using radioimmunoassay recognizing the entire AM molecule (AM [1–52]), which reflects plasma total AM levels, as previously described.

In healthy volunteers severe exercise elevates the plasma AM levels with an increase in plasma norepinephrine and exaggerated sympathetic nerve activity. In heart transplant recipients, maximal exercise induces an increase in plasma AM that is inversely related to mean blood pressure. AM, therefore, may participate in blood pressure regulation during exercise even after heart transplantation.

When compared with healthy controls, the plasma AM levels are increased in patients with a variety of diseases: congestive heart failure, myocardial infarction, renal diseases, hypertensive diseases, diabetes mellitus, acute phase of stroke, and septic shock.

Adrenomedullin and central cardiovascular regulation

Meghan M. Taylor, Willis K. Samson
Peptides 22 (2001) 1803–1807 PII: S0196-9781(01)00522-8

Adrenomedullin gene products have been localized to neurons in brain that innervate sites known to be important in the regulation of cardiovascular function. Those sites also have been demonstrated to possess receptors for the peptide and central administrations of adrenomedullin (AM) and proadrenomedullin N-terminal 20 peptide (PAMP) elevate blood pressure and heart rate in both conscious and anesthetized animals. The accumulated evidence points to a role of the sympathetic nervous system in these cardiovascular effects. These sympathostimulatory actions of AM and PAMP have been hypothesized to be cardioprotective in nature and to reflect the central nervous system (CNS) equivalent of the direct cardiostimulatory effects of the peptides in the periphery. This review summarizes the most recent data on the CNS actions of the adrenomedullin gene-derived peptides and suggests future strategies for the elucidation of the physiologic relevance of the already demonstrated, pharmacologic actions of these peptides.

Adrenomedullin and related peptides: receptors and accessory proteins

Roman Muff, Walter Born, Jan A. Fischer
Peptides 22 (2001) 1765–1772  PII: S0196-9781(01)00515-0
Adrenomedullin (AM), α- and β-calcitonin gene-related peptide (CGRP), amylin and calcitonin (CT) are structurally and functionally related peptides. The structure of a receptor for CT (CTR) was elucidated in 1991 through molecular cloning, but the structures of the receptors for the other three peptides had yet to be elucidated. The discovery of receptor-activity-modifying proteins (RAMP) 1 and -2 and their co-expression with an orphan receptor, calcitonin receptor-like receptor (CRLR) has led to the elucidation of functional CGRP and AM receptors, respectively. RAMP1 and -3 which are co-expressed with CTR revealed two amylin receptor isotypes. Molecular interactions between CRLR and RAMPs are involved in their transport to the cell surface. Heterodimeric complexes between CRLR or CTR and RAMPs are required for ligand recognition.

Pharmacological profiles of receptors of the adrenomedullin peptidefamily
AMR AM>CGRP>>amylin=CT
CTR CT>amylin>>CGRP=AM
CGRPR CGRP>AM>>amylin=CT
AmylinR AmylinsCT­CGRP>>hCT>AM

Specific AM binding sites have been identified in many tissues including the heart, blood vessels, lung and spleen. Based on pharmacological evidence two receptor isotypes have been distinguished, for instance in rat astrocytes and NG108–15 cells. One AM receptor isotype recognizes CGRP and CGRP(8–37). The other receptor isotype specific for the AM ligand and antagonized by AM(22–52) does not recognize CGRP to any great extent. Both isotypes of the receptors have been shown to interact poorly with amylin and CT (Table). Biological actions of AM include vaso- and bronchodilation, and CNS transmitted inhibition of water intake.

CGRP receptors are widely distributed in the nervous and cardiovascular systems. To date, two isotypes have been described. On pharmacological evidence, CGRP1 receptors, such as those identified in human SK-N-MC neuroblastoma cells, recognize intact CGRP and CGRP(8–37) with similar potency, unlike a linear analog lacking the disulfide bridge. CGRP2 receptors,
on the other hand, interact with the linear analog but not with CGRP(8–37). These CGRP receptor isotypes cross-react with AM to some extent, but only minimally with amylin and CT. CGRP shares potent vasodilatory actions with AM, and has chronotropic and inotropic actions in the heart. The ionotropic actions are indirectly brought about via activation of the sympathetic nervous system. There is evidence to suggest the existence of α- or β-CGRP preferring receptor isotypes in both the central nervous system and peripheral tissues.

RAMP1, -2 and -3 are widely expressed, suggesting that RAMPs may have
important functions beyond those of the adrenomedullin family of receptors. To this end, RAMP1 and -3 are thought to reduce cell surface expression of angiotensin (AT) AT1 and AT2 receptors.

RAMP2 and CRLR are expressed in vascular smooth muscle cells, and RAMP1 expression was increased by dexamethasone. Moreover, increased levels of RAMP2 and CRLR were observed in the kidney and heart of rats with obstructive nephropathy and congestive heart failure, respectively. RAMP2
and CRLR levels were reduced, and RAMP3 levels were increased during lipopolysaccharide induced sepsis in rats.

The GABAB receptor 1 is retained as an immature glycoprotein in the cytosol unless co-expressed with GABAB receptor 2 isotype. Heterodimers of fully functional opioid receptors δ and κ result in a novel receptor displaying binding and functional properties distinct from those of the δ or κ receptors alone. Heterodimerization therefore facilitates receptor expression and defines ligand specificity also in G protein-coupled receptor families A and C. Moreover, heterodimers of metabotropic glutamate 1receptor (family C) and adenosine A1 receptors (family A) have been observed. As yet there is no evidence for homo or heterodimerization of family B receptors. Cysteines conserved in the extracellular N-terminal domain in all the receptors of family B and RAMPs suggest that RAMPs are truncated forms of receptors that interact as heterodimers with CRLR and CTR.

The discovery of RAMPs in combination with CRLR and CTR has led to the molecular identification of CGRP1, CGRP/amylin, AM and amylin receptor complexes. The physiological advantage of heterodimers between seven transmembrane domain receptors and the RAMPs required for the functional expression of the adrenomedullin, CGRP and amylin receptors remains to be demonstrated.

Angiotensin II, From Vasoconstrictor to Growth Factor: A Paradigm Shift

Sasa Vukelic, Kathy K. Griendling
Circ Res. 2014;114:754-757
http://dx.doi.org:/10.1161/CIRCRESAHA.114.303045

Angiotensin II (Ang II) is today considered as one of the essential factors in the pathophysiology of cardiovascular disease, producing acute hemodynamic and chronic pleiotropic effects. Although now it is widely accepted that these chronic effects are important, Ang II was initially considered only a short-acting, vasoactive hormone. This view was modified a quarter of a century ago when Dr Owens and his group published an article in Circulation Research with initial evidence that Ang II can act as a growth factor that regulates cell hypertrophy. They showed in a series of elegant experiments that Ang II promotes hypertrophy and hyperploidy of cultured rat aortic smooth muscle cells. However, Ang II had no effect on hyperplasia. These findings led to a paradigm shift in our understanding of the roles of growth factors and vasoactive substances in cardiovascular pathology and helped to redirect basic and clinical renin–angiotensin system research during the next 25 years. Ang II is now known to be a pleiotropic hormone that uses multiple signaling pathways to influence most processes that contribute to the development and progression of cardiovascular diseases, ranging from hypertrophy, endothelial dysfunction, cardiac remodeling, fibrosis, and inflammation to oxidative stress.

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Biomarker Guided Therapy

Writer and Curator: Larry H. Bernstein, MD, FCAP

Novel serum protein biomarker panel revealed by mass spectrometry and its prognostic value in breast cancer

Liping Chung, K Moore, L Phillips, FM Boyle, DJ Marsh and RC Baxter
Breast Cancer Research 2014, 16:R63
http://breast-cancer-research.com/content/16/3/R63

Introduction: Serum profiling using proteomic techniques has great potential to detect biomarkers that might improve diagnosis and predict outcome for breast cancer patients (BC). This study used surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS) to identify differentially expressed  proteins in sera from BC and healthy volunteers (HV), with the
goal  of developing a new prognostic biomarker panel.
Methods: Training set serum samples from 99 BC and 51 HV subjects were applied to four adsorptive chip surfaces (anion-exchange, cation-exchange, hydrophobic, and metal affinity) and analyzed by time-of-flight MS. For validation, 100 independent BC serum samples and 70 HV samples were analyzed similarly. Cluster analysis of protein spectra was performed to identify protein patterns related to BC and HV groups. Univariate and multivariate statistical analyses were used to develop a protein panel to distinguish breast cancer sera from healthy sera, and its prognostic potential was evaluated.
Results: From 51 protein peaks that were significantly up- or downregulated in BC patients by univariate analysis, binary logistic regression yielded five protein peaks that together classified BC and HV with a receiver operating characteristic (ROC) area-under-the-curve value of 0.961. Validation on an independent patient cohort confirmed the five-protein parameter (ROC value 0.939). The five-protein parameter showed positive association with large tumor size (P = 0.018) and lymph node involvement (P = 0.016). By matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS, immunoprecipitation and western blotting the proteins were identified as a fragment of apolipoprotein H (ApoH), ApoCI, complement C3a, transthyretin, and ApoAI. Kaplan-Meier analysis on 181 subjects after median follow-up of >5 years demonstrated that the panel significantly predicted disease-free survival (P = 0.005), its efficacy apparently greater in women with estrogen receptor (ER)-negative tumors (n = 50, P = 0.003) compared to ER-positive (n = 131, P = 0.161), although the influence of ER status needs to be confirmed after longer follow-up.
Conclusions: Protein mass profiling by MS has revealed five serum proteins which, in combination, can distinguish between serum from women with breast cancer and healthy control subjects with high sensitivity and specificity. The five-protein panel significantly predicts recurrence-free survival in women with ER-negative tumors and may have value in the management of these patients.

Variants of uncertain significance in BRCA: a harbinger of ethical and policy issues to come?

Jae Yeon Cheon, Jessica Mozersky and Robert Cook-Deegan
Genome Medicine 2014, 6:121
http://genomemedicine.com/content/6/12/121

After two decades of genetic testing and research, the BRCA1 and BRCA2 genes are two of the most well-characterized genes in the human genome. As a result, variants of uncertain significance (VUS; also called variants of unknown significance) are reported less frequently than for genes that have been less thoroughly studied. However, VUS continue to be uncovered, even for BRCA1/2. The increasing use of multi-gene panels and whole-genome and whole-exome sequencing will lead to higher rates of VUS detection because more genes are being tested, and most genomic loci have been far less intensively characterized than BRCA1/2. In this article, we draw attention to ethical and policy-related issues that will emerge. Experience garnered from BRCA1/2 testing is a useful introduction to the challenges of detecting VUS in other genetic testing contexts, while features unique to BRCA1/2 suggest key differences between the BRCA experience and the current challenges of multi-gene panels in clinical care. We propose lines of research and policy development, emphasizing the importance of pooling data into a centralized open-access database for the storage of gene variants to improve VUS interpretation. In addition, establishing ethical norms and regulated practices for sharing and curating data, analytical algorithms, interpretive frameworks and patient re-contact are important policy areas.

The Significance of Normal Pretreatment Levels of CA125 (<35 U/mL) in Epithelial Ovarian Carcinoma

Joseph Menczer,  Erez Ben-Shem,  Abraham Golan, and Tally Levy
Rambam Maimonides Med J 2015;6 (1):e0005. http://dx.doi.org:/10.5041/RMMJ.10180

Objective: To assess the association between normal CA125 levels at diagnosis of epithelial ovarian carcinoma (EOC) with prognostic factors and with outcome.
Methods: The study group consisted of histologically confirmed EOC patients with normal pretreatment CA125 levels, and the controls consisted of EOC patients with elevated (≥35 U/mL) pretreatment CA125 levels, diagnosed and treated between 1995 and 2112. Study and control group patients fulfilled the following criteria: 1) their pretreatment CA125 levels were assessed; 2) they had full standard primary treatment, i.e. cytoreductive surgery and cisplatin-based chemotherapy; and 3) they were followed every 2–4 months during the first two years and every 4–6 months thereafter.
Results: Of 114 EOC patients who fulfilled the inclusion criteria, 22 (19.3%) had normal pretreatment CA125 levels. The control group consisted of the remaining 92 patients with ≥35 U/mL serum CA125 levels pretreatment. The proportion of patients with early-stage and low-grade disease, with optimal cytoreduction, and with platin-sensitive tumors was significantly higher in the study group than in the control group. The progression-free survival (PFS) and overall survival (OS) were significantly higher in the study group than in the control group on univariate analysis but not on multivariate analysis.

Higher gene expression variability in the more aggressive subtype of chronic lymphocytic leukemia

Simone Ecker, Vera Pancaldi, Daniel Rico and Alfonso Valencia
Genome Medicine (2015) 7:8 http://dx.doi.org:/10.1186/s13073-014-0125-z

Background: Chronic lymphocytic leukemia (CLL) presents two subtypes which have drastically different clinical outcomes, IgVH mutated (M-CLL) and IgVH unmutated (U-CLL). So far, these two subtypes are not associated to clear differences in gene expression profiles. Interestingly, recent results have highlighted important roles for heterogeneity, both at the genetic and at the epigenetic level in CLL progression.
Methods: We analyzed gene expression data of two large cohorts of CLL patients and quantified expression variability across individuals to investigate differences between the two subtypes using different measures and statistical tests. Functional significance was explored by pathway enrichment and network analyses. Furthermore, we implemented a random forest approach based on expression variability to classify patients into disease subtypes.
Results: We found that U-CLL, the more aggressive type of the disease, shows significantly increased variability of gene expression across patients and that, overall, genes that show higher variability in the aggressive subtype are related to cell cycle, development and inter-cellular communication. These functions indicate a potential relation between gene expression variability and the faster progression of this CLL subtype. Finally, a classifier based on gene expression variability was able to correctly predict the disease subtype of CLL patients.
Conclusions: There are strong relations between gene expression variability and disease subtype linking significantly increased expression variability to phenotypes such as aggressiveness and resistance to therapy in CLL.

The Emerging Roles of Thyroglobulin

Yuqian Luo, Yuko Ishido, Naoki Hiroi, Norihisa Ishii, and Koichi Suzuki
Advances in Endocrinology 2014, Article ID 189194, 7 pages http://dx.doi.org/10.1155/2014/189194

Thyroglobulin (Tg), the most important and abundant protein in thyroid follicles, is well known for its essential role in thyroid hormone synthesis. In addition to its conventional role as the precursor of thyroid hormones, we have uncovered a novel function of Tg as an endogenous regulator of follicular function over the past decade. The newly discovered negative feedback effect of Tg on follicular function observed in the rat and human thyroid provides an alternative explanation for the observation of follicle heterogeneity. Given the essential role of the regulatory effects of Tg, we consider that dysregulation of normal Tg function is associated with multiple human thyroid diseases including autoimmune thyroid disease and thyroid cancer. Additionally, extrathyroid Tg may serve a regulatory function in other organs. Further exploration of Tg action, especially at the molecular level, is needed to obtain a better understanding of both the physiological and pathological roles of Tg.

The GUIDE-IT trial will help doctors find a new standard of care for heart failure.

Heart failure affects more than 25 million people worldwide, including 5.8 million in the United States and 6.9 million in Europe. About one to two percent of adults in developed countries have been diagnosed with heart failure; this increases to more than 10 percent in people over age 70. Moreover, heart failure accounts for more than 17 percent of Medicare spending and about 5 percent of total US healthcare spending. The cost to society in the US is about 30 billion dollars a year—and rising.

For people hospitalized due to heart failure, the outlook isn’t encouraging. Following discharge, one in four patients is likely to be back in the hospital in less than a month. With every acute heart failure event that requires readmission, the chances of dying from the disease increase.

Heart failure occurs when the heart is unable to fill with or pump sufficient blood to meet the needs of the body. Some heart failure symptoms—shortness of breath, fatigue and fluid buildup—which are present in other health problems. Heart failure may develop from coronary artery disease, high blood pressure, cardiomyopathy, heart valve disease, arrhythmias, viral or bacterial infections, and congenital heart defects. As a consequence, these patients often have additional diseases (comorbidities) and managing heart failure can be extremely challenging.

There have been no new drugs for heart failure in more than a decade. The last breakthrough was cardiac resynchronization therapy, a device and not a drug. The goals of therapy are to treat heart failure’s underlying causes, reduce symptoms, improve the patient’s quality of life and keep the disease from getting worse.

More than a pump

The heart isn’t just a muscle pumping blood through the body. It is also an endocrine gland that secretes peptides and hormones. When the heart is failing, its stressed cells release larger amounts of substances known as natriuretic peptides, including N-terminal prohormone brain natriuretic peptide, or NT-proBNP.

Roche’s NT-proBNP test measures the levels of this peptide and helps doctors to determine whether patients are suffering from heart failure and to assess their prognosis. Most recently, NT-proBNP has also been shown to help physicians guide and adjust the patient’s drug therapy. The objective of the pivotal GUIDE-IT trial is to demonstrate the efficacy and safety of NT-proBNP guided heart failure therapy.

Sponsored by the National Institutes of Health (NIH), the GUIDE-IT trial will help doctors answer important questions about NT-proBNP’s impact on medical care. About 1100 patients are enrolled in this robustly powered, randomized controlled trial comparing NT-proBNP guided therapy on top of standard care versus standard care alone in high-risk heart failure patients. Its primary endpoint is time to cardiovascular death or first heart failure hospitalization.

With the NT-proBNP biomarker, doctors can create personalized treatment plans for patients to substantially reduce mortality and morbidity. It can be viewed as a companion diagnostic that works with all the drugs recommended by the major guidelines.

Finding new answers

GUIDE-IT will last five years and involve approximately 45 trial sites in the United States. The first group of patients will be enrolled by the end of 2012.

“We need to take a more strategic approach if we are going to meet the AHA/ASA’s 2020 goal of reducing heart failure hospitalizations by 20 percent,” Dr. O’Connor, Chief of the Division of Cardiovascular Medicine at Duke Heart Center in Durham, North Carolina, said at a media briefing held in October at Roche Diagnostics International in Rotkreuz, Switzerland.
The relative and combined ability of: high-sensitivity cardiac troponin T, and N-terminal pro-B-type natriuretic Peptide – to predict cardiovascular events and death in patients with type 2 diabetes.

Hillis GS; Welsh P; Chalmers J; Perkovic V; Chow CK; Li Q; Jun M; Neal B; et al.
http://reference.medscape.com/medline/abstract/24089534?src=wnl_ref_prac_diab

OBJECTIVE Current methods of risk stratification in patients with type 2 diabetes are suboptimal. The current study assesses the ability of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) to improve the prediction of cardiovascular events and death in patients with type 2 diabetes.
RESEARCH DESIGN AND METHODS A nested case-cohort study was performed in 3,862 patients who participated in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial. RESULTS Seven hundred nine (18%) patients experienced a major cardiovascular event (composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke) and 706 (18%) died during a median of 5 years of follow-up. In Cox regression models, adjusting for all established risk predictors, the hazard ratio for cardiovascular events for NT-proBNP was 1.95 per 1 SD increase (95% CI 1.72, 2.20) and the hazard ratio for hs-cTnT was 1.50 per 1 SD increase (95% CI 1.36, 1.65). The hazard ratios for death were 1.97 (95% CI 1.73, 2.24) and 1.52 (95% CI 1.37, 1.67), respectively. The addition of either marker improved 5-year risk classification for cardiovascular events (net reclassification index in continuous model, 39% for NT-proBNP and 46% for hs-cTnT). Likewise, both markers greatly improved the accuracy with which the 5-year risk of death was predicted. The combination of both markers provided optimal risk discrimination.
CONCLUSIONS NT-proBNP and hs-cTnT appear to greatly improve the accuracy with which the risk of cardiovascular events or death can be estimated in patients with type 2 diabetes.

Genetics and Heart Failure: A Concise Guide for the Clinician

Cécile Skrzynia, Jonathan S. Berg, Monte S. Willis and Brian C. Jensen
Current Cardiology Reviews, 2013; 9.

Abstract: The pathogenesis of heart failure involves a complex interaction between genetic and environmental factors. Genetic factors may influence the susceptibility to the underlying etiology of heart failure, the rapidity of disease progression, or the response to pharmacologic therapy. The genetic contribution to heart failure is relatively minor in most multifactorial cases, but more direct and profound in the case of familial dilated cardiomyopathy. Early studies of genetic risk for heart failure focused on polymorphisms in genes integral to the adrenergic and renin-angiotensin-aldosterone system. Some of these variants were found to increase the risk of developing heart failure, and others appeared to affect the therapeutic response to neurohormonal antagonists. Regardless, each variant individually confers a relatively modest increase in risk and likely requires complex interaction with other variants and the environment for heart failure to develop. Dilated cardiomyopathy frequently leads to heart failure, and a genetic etiology increasingly has been recognized in cases previously considered to be “idiopathic”. Up to 50% of dilated cardiomyopathy cases without other cause likely are due to a heritable genetic mutation. Such mutations typically are found in genes encoding sarcomeric proteins and are inherited in an autosomal dominant fashion. In recent years, rapid advances in sequencing technology have improved our ability to diagnose familial dilated cardiomyopathy and those diagnostic tests are available widely. Optimal care for the expanding population of patients with heritable heart failure involves counselors and physicians with specialized training in genetics, but numerous online genetics resources are available to practicing clinicians.

Cardiac Troponin Testing Is Overused after the Rule-In or Rule-Out of Myocardial Infarction

Olaia Rodriguez Fraga, Y Sandoval, SA Love, ZJ McKinney, MAM Murakami, SW Smith, FS Apple
Clinical Chemistry 2015; 61:2 http://dx.doi.org:/10.1373/clinchem.2014.232694

No good studies have systematically evaluated appropriate clinical utilization of cardiac troponin testing in the clinical setting of the rule-in and rule-out of myocardial infarction (MI). Our collective 100-plus years of clinical and laboratory experience suggested that provider test ordering and use of cardiac troponin has been excessive after a diagnosis of MI or no MI has been determined. There is no evidence that supports continuation of cardiac troponin testing after a diagnosis is made.

Number of cTnI results demonstrating excessive orders by diagnosis

Number of cTnI results demonstrating excessive orders by diagnosis

Time and Frequency Domain Analysis of Heart Rate Variability and their orrelations in Diabetes Mellitus
T. Ahamed Seyd, V. I. Thajudin Ahamed, Jeevamma Jacob, Paul Joseph K
Intl J Biolog and Life Sciences 2008; 4(1)

Diabetes mellitus (DM) is frequently characterized by autonomic nervous dysfunction. Analysis of heart rate variability (HRV) has become a popular noninvasive tool for assessing the activities of autonomic nervous system (ANS). In this paper, changes in ANS
activity are quantified by means of frequency and time domain analysis of R-R interval variability. Electrocardiograms (ECG) of 16 patients suffering from DM and of 16 healthy volunteers were recorded. Frequency domain analysis of extracted normal to normal interval (NN interval) data indicates significant difference in very low frequency (VLF) power, low frequency (LF) power and high frequency (HF) power, between the DM patients and control group. Time domain measures, standard deviation of NN interval (SDNN), root mean square of successive NN interval differences (RMSSD), successive NN intervals differing more than 50 ms (NN50 Count), percentage value of NN50 count (pNN50), HRV triangular index and triangular interpolation of NN intervals (TINN) also show significant difference between the DM patients and control group.

Power Spectral Density of the RR interval of a 55 year old healthy volunteer

Power Spectral Density of the RR interval of a 55 year old healthy volunteer

Power Spectral Density of the RR interval of a 55 year old healthy volunteer

Power Spectral Density of the RR interval of a 62 year old woman suffering

Power Spectral Density of the RR interval of a 62 year old woman suffering

Power Spectral Density of the RR interval of a 62 year old woman suffering
from diabetes for the last 15 years

HRV analysis has gained much importance in recent years, as a technique employed to explore the activity of ANS, and as an important early marker for identifying different pathological conditions. DM is a disease in which the cardiac autonomic activity is progressively compromised. Our investigation indicates that different time domain and frequency domain measures of HRV would be able to provide valuable information regarding the autonomic dysfunction to DM.

Time domain and frequency domain analysis of the RR interval variability of diabetic and normal subjects shows that there is significant difference in these measures for DM patients with respect to normal subjects. Variation of the HRV parameters indicates changes in ANS activity of DM patients. This can provide valid information regarding autonomic neuropathy in people with diabetes. It may be noted that these methods can detect changes before clinical signs appear. So we can expect that these measures enable early detection and treatment/subsequent management of patients and thus can avoid acute and chronic complications.

Multiparametric diagnostics of cardiomyopathies by microRNA signatures

Christine S. Siegismund & Maria Rohde & Uwe Kühl & Dirk Lassner
Microchim Acta 2014   http://dx.doi.org:/10.1007/s00604-014-1249-y

The diagnosis of cardiomyopathies by endomyocardial biopsy analysis is the gold standard for confirmation of causative reasons but is failing if a sample does not contain the area of interest due to focal pathology. Biopsies are revealing an extract of the current situation of the heart muscle only, and the need for global organ-specific or systemic markers is obvious in order to minimize sampling errors. Global markers like specific gene expression signatures in myocardial tissue may therefore reflect the focal situation or condition of the whole myocardium. Besides gene expression profiles, microRNAs (miRNAs) represent a new group of stable biomarkers that are detectable both in tissue and body fluids. Such miRNAs may serve as cardiological biomarkers to characterize inflammatory processes, to confirm viral infections, and to differentiate various forms of infection.
The predictive power of single miRNAs for diagnosis of complex diseases may be further increased if several distinctly deregulated candidates are combined to form a specific miRNA signature. Diagnostic systems that generate disease related miRNA profiles are based on microarrays, bead-based oligo sorbent assays, or on assays based on real-time polymerase chain reactions and placed on microfluidic cards or nanowell plates. Multiparametric diagnostic systems that can measure differentially expressed miRNAs may become the diagnostic tool of the future due to their predictive value with respect to clinical course, therapeutic decisions, and therapy monitoring. We discuss here specific merits, limitations and the potential of currently available analytical platforms for diagnostics of heart muscle diseases based on miRNA profiling.

Predictive value of plasma galectin-3 levels in heart failure with reduced and preserved ejection fraction

Rudolf A. de Boer, DJA Lok, T Jaarsma, P van der Meer, AA Voors, et al.
Annals Med, 2011; 43: 60–68 http://dx.doi.org:/10.3109/07853890.2010.538080

We studied the prognostic value of base-line galectin-3 in a large HF cohort, with preserved and reduced left ventricular ejection fraction (LVEF), and compared this to other biomarkers.
Methods. We studied 592 HF patients who had been hospitalized for HF and were followed for 18 months. The primary end-point was a composite of all-cause mortality and HF hospitalization.
Results. A doubling of galectin-3 levels was associated with a hazard ratio (HR) of 1.97 (1.62–2.42) for the primary outcome (P= 0.001). After correction for age, gender, BNP, eGFR, and diabetes the HR was 1.38 (1.07–1.78; P= 0.015). Galectin-3 levels were correlated with higher IL -6 and CRP levels (P= 0.002). Changes of galectin-3 levels after 6 months did not add prognostic information to the base-line value (n= 291); however, combining plasma galectin-3 and BNP levels increased prognostic value over either biomarker alone (ROC analysis, P = 0.05). The predictive value of galectin-3 was stronger in patients with preserved LVEF (n= 114) compared to patients with reduced LVEF (P= 0.001).
Conclusions. Galectin-3 is an independent marker for outcome in HF and appears to be particularly useful in HF patients with preserved LVEF.

Criteria for the use of omics-based predictors in clinical trials

Lisa M. McShane, MM Cavenagh, TG Lively, DA Eberhard, et al.
Nature  17 Oct 2013; 502: 317-320. http://dx.doi.org:/10.1038/nature12564

The US National Cancer Institute (NCI), in collaboration with scientists representing multiple areas of expertise relevant to ‘omics’-based test development, has developed a checklist of criteria that can be used to determine the readiness of omics-based tests for guiding patient care in clinical trials. The checklist criteria cover issues relating to specimens, assays, mathematical modelling, clinical trial design, and ethical, legal and regulatory aspects. Funding bodies and journals are encouraged to consider the checklist, which they may find useful for assessing study quality and evidence strength. The checklist will be used to evaluate proposals for NCI-sponsored clinical
trials in which omics tests will be used to guide therapy.

M-Atrial Natriuretic Peptide and Nitroglycerin in a Canine Model of Experimental Acute Hypertensive Heart Failure: Differential Actions of 2 cGMP Activating Therapeutics.

Paul M McKie, Alessandro Cataliotti, Tomoko Ichiki, S Jeson Sangaralingham, Horng H Chen, John C Burnett
J Am Heart Assoc 01/2014; 3(1):e000206. http://dx.doi.org:/10.1161/JAHA.113.000206

Systemic hypertension is a common characteristic in acute heart failure (HF). This increasingly recognized phenotype is commonly associated with renal dysfunction and there is an unmet need for renal enhancing therapies. In a canine model of HF and acute vasoconstrictive hypertension we characterized and compared the cardiorenal actions of M-atrial natriuretic peptide (M-ANP), a novel particulate guanylyl cyclase (pGC) activator, and nitroglycerin, a soluble guanylyl cyclase (sGC) activator.
HF was induced by rapid RV pacing (180 beats per minute) for 10 days. On day 11, hypertension was induced by continuous angiotensin II infusion. We characterized the cardiorenal and humoral actions prior to, during, and following intravenous M-ANP (n=7), nitroglycerin (n=7), and vehicle (n=7) infusion. Mean arterial pressure (MAP) was reduced by M-ANP (139±4 to 118±3 mm Hg, P<0.05) and nitroglycerin (137±3 to 116±4 mm Hg, P<0.05); similar findings were recorded for pulmonary wedge pressure (PCWP) with M-ANP (12±2 to 6±2 mm Hg, P<0.05) and nitroglycerin (12±1 to 6±1 mm Hg, P<0.05). M-ANP enhanced renal function with significant increases (P<0.05) in glomerular filtration rate (38±4 to 53±5 mL/min), renal blood flow (132±18 to 236±23 mL/min), and natriuresis (11±4 to 689±37 mEq/min) and also inhibited aldosterone activation (32±3 to 23±2 ng/dL, P<0.05), whereas nitroglycerin had no significant (P>0.05) effects on these renal parameters or aldosterone activation.
Our results advance the differential cardiorenal actions of pGC (M-ANP) and sGC (nitroglycerin) mediated cGMP activation. These distinct renal and aldosterone modulating actions make M-ANP an attractive therapeutic for HF with concomitant hypertension, where renal protection is a key therapeutic goal.

Genome-Wide Association Study of a Heart Failure Related Metabolomic Profile Among African Americans in the Atherosclerosis Risk in Communities (ARIC) Study

Bing Yu, Y Zheng, D Alexander, TA Manolio, A Alonso, JA Nettleton, & E Boerwinkle
Genet Epidemiol 2013; 00:1–6, http://dx.doi.org:/10.1002/gepi.21752

Both the prevalence and incidence of heart failure (HF) are increasing, especially among African Americans, but no large-scale, genome-wide association study (GWAS) of HF-related metabolites has been reported. We sought to identify novel genetic variants that are associated with metabolites previously reported to relate to HF incidence. GWASs of three metabolites identified previously as risk factors for incident HF (pyroglutamine, dihydroxy docosatrienoic acid, and X-11787, being either hydroxy-leucine or hydroxy-isoleucine) were performed in 1,260 African Americans free of HF at the baseline examination of the Atherosclerosis Risk in Communities (ARIC) study. A significant association on chromosome 5q33 (rs10463316, MAF = 0.358, P-value = 1.92 × 10−10) was identified for pyroglutamine. One region on chromosome 2p13 contained a nonsynonymous substitution in N-acetyltransferase 8 (NAT8) was associated with X-11787 (rs13538, MAF = 0.481, P-value = 1.71 × 10−23). The smallest P-value for dihydroxy docosatrienoic acid was rs4006531 on chromosome 8q24 (MAF = 0.400, P-value = 6.98 × 10−7). None of the above SNPs were individually associated with incident HF, but a genetic risk score (GRS) created by summing the most significant risk alleles from each metabolite detected 11% greater risk of HF per allele. In summary, we identified three loci associated with previously reported HF-related metabolites. Further use of metabolomics technology will facilitate replication of these findings in independent samples.

Global Left Atrial Strain Correlates with CHADS2 Risk Score in Patients with Atrial Fibrillation

SK Saha, PL Anderson, G Caracciolo, A Kiotsekoglou, S Wilansky, S Govind, et al.
J Am Soc Echocardiogr 2011; 24(5): 506-512.
http://dx.doi.org:/10.1016/j.echo.2011.02.012

Background: The aim of this cross-sectional study was to explore the association between echocardiographic parameters and CHADS2 score in patients with nonvalvular atrial fibrillation (AF).
Methods: Seventy-seven subjects (36 patients with AF, 41 control subjects) underwent standard twodimensional, Doppler, and speckle-tracking echocardiography to compute regional and global left atrial (LA) strain.
Results: Global longitudinal LA strain was reduced in patients with AF compared with controls (P < .001) and was a predictor of high risk for thromboembolism (CHADS2 score $ 2; odds ratio, 0.86; P = .02). LA strain indexes showed good interobserver and intraobserver variability. In sequential Cox models, the prediction of hospitalization and/or death was improved by addition of global LA strain and indexed LA volume to CHADS2 score (P = .003).
Conclusions: LA strain is a reproducible marker of dynamic LA function and a predictor of stroke risk and cardiovascular outcomes in patients with AF.

Gene Expression and Genetic Variation in Human Atria

Honghuang Lin, EV Dolmatova, MP Morley, KL Lunetta, et al.
Heart Rhythm, HRTHM5533. PII: S1547-5271(13)01226-5
http://dx.doi.org/10.1016/j.hrthm.2013.10.051

Background— The human left and right atria have different susceptibilities to develop atrial fibrillation (AF). However, the molecular events related to structural and functional changes that enhance AF susceptibility are still poorly understood.
Objective— To characterize gene expression and genetic variation in human atria.
Methods— We studied the gene expression profiles and genetic variations in 53 left atrial and 52 right atrial tissue samples collected from the Myocardial Applied Genomics Network (MAGNet) repository. The tissues were collected from heart failure patients undergoing transplantation and from unused organ donor hearts with normal ventricular function. Gene expression was profiled using the Affymetrix GeneChip Human Genome U133A Array. Genetic variation was profiled using the Affymetrix Genome-Wide Human SNP Array 6.0.
Results— We found that 109 genes were differentially expressed between left and right atrial tissues. A total of 187 and 259 significant cis-associations between transcript levels and genetic variants were identified in left and right atrial tissues, respectively. We also found that a SNP at a known AF locus, rs3740293, was associated with the expression of MYOZ1 in both left and right atrial tissues. Conclusion— We found a distinct transcriptional profile between the right and left atrium, and extensive cis-associations between atrial transcripts and common genetic variants. Our results implicate MYOZ1 as the causative gene at the chromosome 10q22 locus for AF.

Atrial Natriuretic Peptide Single Nucleotide Polymorphisms in Patients with Nonfamilial Structural Atrial Fibrillation

Pietro Francia, A Ricotta, A Frattari, R Stanzione, A Modestino, et al.
Clinical Medicine Insights: Cardiology 2013:7 153–159
http://dx.doi.org:/10.4137/CMC.S12239

Background: Atrial natriuretic peptide (ANP) has antihypertrophic and antifibrotic properties that are relevant to AF substrates. The −G664C and rs5065 ANP single nucleotide polymorphisms (SNP) have been described in association with clinical phenotypes, including hypertension and left ventricular hypertrophy. A recent study assessed the association of early AF and rs5065 SNPs in low-risk subjects. In a Caucasian population with moderate-to-high cardiovascular risk profile and structural AF, we conducted a case-control study to assess whether the ANP −G664C and rs5065 SNP associate with nonfamilial structural AF.
Methods: 168 patients with nonfamilial structural AF and 168 age- and sex-matched controls were recruited. The rs5065 and −G664C ANP SNPs were genotyped.
Results: The study population had a moderate-to-high cardiovascular risk profile with 86% having hypertension, 23% diabetes, 26% previous myocardial infarction, and 23% left ventricular systolic dysfunction. Patients with AF had greater left atrial diameter (44 ± 7
vs. 39 ± 5 mm; P , 0.001) and higher plasma NTproANP levels (6240 ± 5317 vs. 3649 ± 2946 pmol/mL; P , 0.01). Odds ratios (ORs)
for rs5065 and −G664C gene variants were 1.1 (95% confidence interval [CI], 0.7–1.8; P = 0.71) and 1.2 (95% CI, 0.3–3.2; P = 0.79), respectively, indicating no association with AF. There were no differences in baseline clinical characteristics among carriers and noncarriers of the −664C and rs5065 minor allele variants.
Conclusions: We report lack of association between the rs5065 and −G664C ANP gene SNPs and AF in a Caucasian population of patients with structural AF. Further studies will clarify whether these or other ANP gene variants affect the risk of different subphenotypes of AF driven by distinct pathophysiological mechanisms.

N-terminal proBNP and mortality in hospitalized patients with heart failure and preserved vs. reduced systolic function: data from the prospective Copenhagen Hospital Heart Failure Study (CHHF)

Kirk, M. Bay, J. Parnerc, K. Krogsgaard, T.M. Herzog, S. Boesgaard, et al.
Eur Journal Heart Failure 6 (2004) 335–341
http://dx.doi.org:/10.1016/j.ejheart.2004.01.002

Preserved systolic function among heart failure patients is a common finding, a fact that has only recently been fully appreciated. The aim of the present study was to examine the value of NT-proBNP to predict mortality in relation to established risk factors among consecutively hospitalised heart failure patients and secondly to characterise patients in relation to preserved and reduced systolic function. Material: At the time of admission 2230 consecutively hospitalised patients had their cardiac status evaluated through determinations of NT-proBNP, echocardiography, clinical examination and medical history. Follow-up was performed 1 year later in all patients. Results: 161 patients fulfilled strict diagnostic criteria for heart failure (HF). In this subgroup of patients 1-year mortality was approximately 30% and significantly higher as compared to the remaining non-heart failure population (approx. 16%). Using univariate analysis left ventricular ejection fraction (LVEF), New York Heart Association classification (NYHA) and plasma levels of NT-proBNP all predicted mortality independently. However, regardless of systolic function, age and NYHA class, risk-stratification was provided by measurements of NT-proBNP. Having measured plasma levels of NT-proBNP, LVEF did not provide any additional prognostic information on mortality among heart failure patients (multivariate analysis).
Conclusion: The results show that independent of LVEF, measurements of NT-proBNP add additional prognostic information. It is concluded that NT-proBNP is a strong predictor of 1-year mortality in consecutively hospitalised patients with heart failure with preserved as well as reduced systolic function.

N-terminal pro-B-type natriuretic peptide and the prediction of primary cardiovascular events: results from 15-year follow-up of WOSCOPS

Paul Welsh, Orla Doolin, Peter Willeit, Chris Packard, Peter Macfarlane, et al.
Eur Heart Journal 2014. http://eurheartj.oxfordjournals.org/

Aims: To test whether N-terminal pro-B-type natriuretic peptide (NT-proBNP) was independently associated with, and improved the prediction of, cardiovascular disease (CVD) in a primary prevention cohort.
Methods and results:  In the West of Scotland Coronary Prevention Study (WOSCOPS), a cohort of middle-aged men with hypercholesterolemia at a moderate risk of CVD, we related the baseline NT-proBNP (geometric mean 28 pg/mL) in 4801 men to the risk of CVD over 15 years during which 1690 experienced CVD events. Taking into account the competing risk of non-CVD death, NT-proBNP was associated with an increased risk of all CVD [HR: 1.17 (95% CI: 1.11–1.23) per standard deviation increase in log NT-proBNP] after adjustment for classical and clinical cardiovascular risk factors plus C-reactive protein. N-terminal pro-B-type natriuretic peptide was more strongly related to the risk of fatal [HR: 1.34 (95% CI: 1.19–1.52)] than non-fatal CVD [HR: 1.17 (95% CI: 1.10–1.24)] (P ¼ 0.022). The addition of NT-proBNP to traditional risk factors improved the C-index (+0.013; P , 0.001). The continuous net reclassification index improved with the addition of NT-proBNP by 19.8% (95% CI: 13.6–25.9%) compared with 9.8% (95% CI: 4.2–15.6%) with the addition of C-reactive protein. N-terminal pro-B-type natriuretic peptide correctly reclassified 14.7% of events, whereas C-reactive protein correctly reclassified 3.4% of events. Results were similar in the 4128 men without evidence of angina, nitrate prescription, minor ECG abnormalities, or prior cerebrovascular disease.
Conclusion: N-terminal pro-B-type natriuretic peptide predicts CVD events in men without clinical evidence of CHD, angina, or history of stroke, and appears related more strongly to the risk for fatal events. N-terminal pro-B-type natriuretic peptide also provides moderate risk discrimination, in excess of that provided by the measurement of C-reactive protein.

Effect of B-type natriuretic peptide-guided treatment of chronic heart failure on total mortality and hospitalization: an individual patient meta-analysis

Richard W. Troughton, Christopher M. Frampton, Hans-Peter Brunner-La Rocca,
Matthias Pfisterer, Luc W.M. Eurlings, Hans Erntell, Hans Persson, et al.
Eur Heart J 2014; 35: 1559–1567 http://dx.doi.org:/10.1093/eurheartj/ehu090

Aims Natriuretic peptide-guided (NP-guided) treatment of heart failure has been tested against standard clinically guided care in multiple studies, but findings have been limited by study size. We sought to perform an individual patient data metaanalysis to evaluate the effect of NP-guided treatment of heart failure on all-cause mortality.
Methods and results
Eligible randomized clinical trials were identified from searches of Medline andEMBASEdatabases and the Cochrane Clinical
Trials Register. The primary pre-specified outcome, all-cause mortality was tested using a Cox proportional hazards regression model that included study of origin, age (< 75 or ≥75 years), and left ventricular ejection fraction (LVEF, ≤45 or .45%) as covariates. Secondary endpoints included heart failure or cardiovascular hospitalization. Of 11 eligible studies, 9 provided individual patient data and 2 aggregate data. For the primary endpoint individual data from 2000 patients were included, 994 randomized to clinically guided care and 1006 to NP-guided care. All-cause mortality was significantly reduced by NP-guided treatment [hazard ratio = 0.62 (0.45–0.86);
P = 0.004] with no heterogeneity between studies or interaction with LVEF. The survival benefit from NP-guided therapy was seen in younger ( <75 years) patients [0.62 (0.45–0.85); P = 0.004] but not older (≥75 years) patients [0.98 (0.75–1.27); P = 0.96]. Hospitalization due to heart failure [0.80 (0.67–0.94); P = 0.009] or cardiovascular disease [0.82 (0.67–0.99); P = 0.048]was significantly lower in NP-guided patients with no heterogeneity between studies and no interaction with age or LVEF.
Conclusion: Natriuretic peptide-guided treatment of heart failure reduces all-cause mortality in patients aged < 75 years and overall reduces heart failure and cardiovascular hospitalization.

Diagnostic and prognostic evaluation of left ventricular systolic heart failure by plasma N-terminal pro-brain natriuretic peptide concentrations in a large sample of the general population

B A Groenning, I Raymond, P R Hildebrandt, J C Nilsson, M Baumann, F Pedersen
Heart 2004;90:297–303. http://dx.doi.org:/10.1136/hrt.2003.026021

Objective: To evaluate N-terminal pro-brain natriuretic peptide (NT-proBNP) as a diagnostic and prognostic marker for systolic heart failure in the general population.
Design: Study participants, randomly selected to be representative of the background population, filled in a heart failure questionnaire and underwent pulse and blood pressure measurements, electrocardiography, echocardiography, and blood sampling and were followed up for a median (range) period of 805 (6021171) days.
Setting: Participants were recruited from four randomly selected general practitioners and were examined in a Copenhagen university hospital.
Patients: 382 women and 290 men in four age groups (50259 (n = 174); 60269 (n = 204); 70279 (n = 174); > 80 years (n = 120)).
Main outcome measures: Value of NT-proBNP in evaluating patients with symptoms of heart failure and impaired left ventricular (LV) systolic function; prognostic value of NT-proBNP for mortality and hospital admissions.
Results: In 38 (5.6%) participants LV ejection fraction (LVEF) was (40%. NT-proBNP identified patients with symptoms of heart failure and LVEF (40% with a sensitivity of 0.92, a specificity of 0.86, positive and negative predictive values of 0.11 and 1.00, and area under the curve of 0.94. NT-proBNP was the strongest independent predictor of mortality (hazard ratio (HR) = 5.70, p = 0.0001), hospital admissions for heart failure (HR = 13.83, p = 0.0001), and other cardiac admissions (HR = 3.69, p = 0.0001). Mortality (26 v 6, p = 0.0003), heart failure admissions (18 v 2, p = 0.0002), and admissions for other cardiac causes (44 v 13, p = 0.0001) were significantly higher in patients with NTproBNP above the study median (32.5 pmol/l). Conclusions: Measurement of NT-proBNP may be useful as a screening tool for systolic heart failure in the general population.

Copeptin—Marker of Acute Myocardial Infarction

Martin Möckel & Julia Searle
Curr Atheroscler Rep 2014; 16:421 http://dx.doi.org:/10.1007/s11883-014-0421-5

The concentration of copeptin, the C-terminal part of pro-arginine vasopressin, has been shown to increase early after acute and severe events. Owing to complementary pathophysiology and kinetics, the unspecific marker copeptin, in combination with highly cardio-specific troponin, has been evaluated as an early-rule-out strategy for acute myocardial infarction in patients presenting with signs and symptoms of acute coronary syndrome. Overall, most studies have reported a negative predictive value between 97 and 100 % for the diagnosis of acute myocardial infarction in low- to intermediate-risk patients with suspected acute coronary syndrome. Additionally, a recent multicenter, randomized process study, where patients who tested negative for copeptin and troponin were discharged from the emergency department, showed that the safety of the new process was comparable to that of the current standard process. Further interventional trials and data from registries are needed to ensure the effectiveness and patient benefit of the new strategy.

The role of copeptin as a diagnostic and prognostic biomarker for risk stratification in the emergency department

Christian H Nickel1, Roland Bingisser and Nils G Morgenthaler
BMC Medicine 2012, 10:7 http://www.biomedcentral.com/1741-7015/10/7

The hypothalamic-pituitary-adrenal axis is activated in response to stress. One of the activated hypothalamic hormones is arginine vasopressin, a hormone involved in hemodynamics and osmoregulation. Copeptin, the C-terminal part of the arginine vasopressin precursor peptide, is a sensitive and stable surrogate marker for arginine vasopressin release. Measurement of copeptin levels has been shown to be useful in a variety of clinical scenarios, particularly as a prognostic marker in patients with acute diseases such as lower respiratory tract infection, heart disease and stroke. The measurement of copeptin levels may provide crucial information for risk stratification in a variety of clinical situations. As such, the emergency department appears to be the ideal setting for its potential use. This review summarizes the recent progress towards determining the prognostic and diagnostic value of copeptin in the emergency department.

Variability of the Transferrin Receptor 2 Gene in AMD

Daniel Wysokinski, Janusz Blasiak, Mariola Dorecka, Marta Kowalska, et al.
Disease Markers 2014, Article ID 507356, 8 pages http://dx.doi.org/10.1155/2014/507356

Oxidative stress is a major factor in the pathogenesis of age-related macular degeneration (AMD). Iron may catalyze the Fenton reaction resulting in overproduction of reactive oxygen species. Transferrin receptor 2 plays a critical role in iron homeostasis and variability in its gene may influence oxidative stress and AMD occurrence. To verify this hypothesis we assessed the association between  polymorphisms of the TFR2 gene and AMD. A total of 493AMDpatients and 171matched controls were genotyped for the two polymorphisms of the TFR2 gene: c.1892C>T (rs2075674) and c.−258+123T>C (rs4434553). We also assessed the modulation of some AMD risk factors by these polymorphisms.The CC and TT genotypes of the c.1892C>T were associated with AMD occurrence but the latter only in obese patients. The other polymorphism was not associated with AMD occurrence, but the CC genotype was correlated with an increasing AMD frequency in subjects with BMI < 26. The TT genotype and the T allele of this polymorphism decreased AMD occurrence in subjects above 72 years, whereas the TC genotype and the C allele increased occurrence of AMD in this group.The c.1892C>T and c.−258+123T>C polymorphisms of the TRF2 gene may be associated with AMD occurrence, either directly or by modulation of risk factors.

Urinary N-Acetyl-beta-D-glucosaminidase as an Early Marker for Acute Kidney Injury in Full-Term Newborns with Neonatal Hyperbilirubinemia

Bangning Cheng, Y Jin, G Liu, Z Chen, H Dai, and M Liu
Disease Markers 2014, Article ID 315843, 6 pages http://dx.doi.org/10.1155/2014/315843

Purpose. To investigate renal function estimated by markers in full-term newborns with hyperbilirubinemia.
Methods. A total of 332 full-term newborns with hyperbilirubinemia and 60 healthy full-term newborns were enrolled. Total serum bilirubin, serum creatinine (Cr), serum blood urea nitrogen (BUN), serum cystatin C (Cys-C), urinary beta-2-microglobulin (𝛽2MG) index, and urinary N-acetyl-beta-D-glucosaminidase (NAG) index were measured before and after treatment. All newborns were divided into three groups according to total serum bilirubin levels: group 1 (221-256), group 2 (256-342), and group 3 (>342). Results. The control group and group 1 did not differ significantly in regard to serum Cr, serum BUN, serum Cys-C, urinary 𝛽2MG index, and urinary NAG index. Urinary NAG index in group 2 was significantly higher than that in control group (𝑃 < 0.001). Between control group and group 3, serum Cys-C, urinary 𝛽2MG index, and urinary NAG index differed significantly. The significant positive correlation between total serum bilirubin and urinary NAG index was found in newborns when total serum bilirubin level was more than 272 𝜇mol/L.
Conclusions. High unconjugated bilirubin could result in acute kidney injury in full-term newborns. Urinary NAG might be the suitable marker for predicting acute kidney injury in full-term newborns with hyperbilirubinemia.

Urinary C-peptide creatinine ratio detects absolute insulin deficiency in Type 2 diabetes.

S V Hope, A G Jones, E Goodchild, M Shepherd, R E J Besser, B Shields, T McDonald, B A Knight, A Hattersley

Department of Geriatrics, Royal Devon and Exeter NHS Foundation Trust; NIHR Exeter Clinical Research Facility, University of Exeter.

Diabetic Medicine (impact factor: 2.9). 05/2013; http://dx.doi.org:/10.1111/dme.12222

Source: PubMed

ABSTRACT AIMS: To determine the prevalence and clinical characteristics of absolute insulin deficiency in long-standing Type 2 diabetes, using a strategy based on home urinary C-peptide creatinine ratio measurement.
METHODS: We assessed the urinary C-peptide creatinine ratios, from urine samples taken at home 2 h after the largest meal of the day, in 191 insulin-treated subjects with Type 2 diabetes (diagnosis age ≥45 years, no insulin in the first year). If the initial urinary C-peptide creatinine ratio was ≤0.2 nmol/mmol (representing absolute insulin deficiency), the assessment was repeated. A standardized mixed-meal tolerance test with 90-min stimulated serum C-peptide measurement was performed in nine subjects with a urinary C-peptide creatinine ratio ≤ 0.2 nmol/mmol (and in nine controls with a urinary C-peptide creatinine ratio >0.2 nmol/mmol) to confirm absolute insulin deficiency.
RESULTS: A total of 2.7% of participants had absolute insulin deficiency confirmed by a mixed-meal tolerance test. They were identified initially using urinary C-peptide creatinine ratio: 11/191 subjects (5.8%) had two consistent urinary C-peptide creatinine ratios ≤ 0.2 nmol/mmol; 9/11 subjects completed a mixed-meal tolerance test and had a median stimulated serum C-peptide of 0.18nmol/l. Five out of nine subjects had stimulated serum C-peptide <0.2 nmol/l and 9/9 subjects with urinary C-peptide creatinine ratio >0.2 had endogenous insulin secretion confirmed by the mixed-meal tolerance test. Compared with subjects with a urinary C-peptide creatinine ratio >0.2 nmol/mmol, those with confirmed absolute insulin deficiency had a shorter time to insulin treatment (median 2.5 vs. 6 years, P=0.005) and lower BMI (25.1 vs. 29.1kg/m(2) , P=0.04). Two out of five patients were glutamic acid decarboxylase autoantibody-positive.
CONCLUSIONS: Absolute insulin deficiency may occur in long-standing Type 2 diabetes, and cannot be reliably predicted by clinical features or autoantibodies. Its recognition should help guide treatment, education and management. The urinary C-peptide creatinine ratio is a practical non-invasive method to aid detection of absolute insulin deficiency, with a urinary C-peptide creatinine ratio > 0.2 nmol/mmol being a reliable indicator of retained endogenous insulin secretion.

Unlocking Biomarkers’ Full Potential

David Daniels, Ph.D.     genengnews  Feb 1, 2013 (Vol. 33, No. 3)

http://www.genengnews.com/gen-articles/unlocking-biomarkers-full-potential/4700/

Biomarker research and development has evolved over the past years from looking for a single marker (e.g., PSA) linked to a disease state to looking for a panel of markers that can capture the heterogeneity inherent in both the disease and the impacted patient population.

That is one of the key messages to be delivered at GTC’s “Biomarkers Summit” next month. Across the board, resources are being focused on the delivery of more precise, quantifiable biomarkers with predictive value in therapeutic decisions and for the prognosis of illness.

“Our focus on biomarker development is the recognition that the new products need to provide cost savings for the already strapped healthcare systems rather than just be cost effective,” shares Paul Billings, M.D., Ph.D., CMO at Life Technologies.

“We have built a new medical sciences group to address the needs of the multiple delivery systems in the world—from the sophisticated medical clinics in the developed world to the nurse-run shanty clinic in the third world. Providing tools for equitable access to quality diagnosis, on assay platforms that can provide care for all patients, is our goal.”

Life Tech’s medical sciences division has been built by acquisition of Pinpoint Genomics, Navigenics, and Compendia, and collaborations with partners such as Ingenuity Systems and CollabRx. The division is focused on taking the tools that have been used in the life science laboratories and providing molecular diagnostic data to the clinic. The intent is to deliver data in a valuable format that can be used by the molecular pathologist or the treating physician.

The division is developing the Pervenio™ Lung RS assay, a 14-gene expression profile that serves as a risk stratifier that uses a weighted algorithm for the expressed biomarkers within the tumor biopsy, a first-of-its-kind prognostic test for lung cancer, the firm reports.

Initially, tests will be offered as a service through Life Tech’s CLIA laboratory. Then, from the performance lessons learned, Life Tech’s will develop a simpler assay platform, with FDA approval, that can be dispersed globally without reduction of the essential content in the biomarker panel. The focus is on the workflow—screening for known mutations using established easy-to-use assay platforms, like RT-PCR. Should the screen not produce useful results, clinicians can search for new mutations via discovery platforms like next-gen sequencing (NGS).

http://www.genengnews.com/Media/images/Article/thumb_Sequenom_LungCartaPanel1722631391.jpg

Sequenom’s LungCarta panel of 214 somatic mutations in 26 tumor suppressors and oncogenes covers highly mutated pathways in lung adenocarcinomas.

At Sequenom, the company provides both the tools (DNA mass spectrometry and reagents) for confirmatory biomarker development as well as serving on the front lines as a diagnostic service provider (CLIA lab). The beauty of DNA mass spec is that it can process multiplexed PCR samples (10–60 loci) in a method that is quantitative when used for profiling tumor biopsies that are either archival or fresh tissue.

Given a tumor sample with multiple somatic mutations, the instrument enables the determination of the homogeneity of the cells, in which case the mutations will have the same allele frequency. Accuracy, as measured by coefficient of variance, is less than 2%. Despite this level of sensitivity, the mass spec can only be used as a confirmatory tool looking for known mutations. Discovery is best done using DNA sequencing. DNA mass spec can also be used to study methylation in tumor samples.

“In the not-too-distant future, we will be looking for mutations in plasma samples rather than biopsies,” predicts Charles Cantor, Ph.D., CSO at Sequenom.

“The key is to look noninvasively for mutations within plasma samples such that we can potentially catch the disease state earlier, rather than after tumor formation. Regardless of the tumor type, this approach will enable us to monitor therapeutic response and metastatic potential noninvasively. DNA mass spec is an ultrasensitive detection product that can detect somatic mutations at levels of 1 per 1,000. This level of sensitivity is critical for the future of plasma screening. NGS technology is not that sensitive.”

Sequenom’s CLIA lab is using automated DNA mass spec to provide three different test protocols: (1) carrier screening for cystic fibrosis looking at more than 100 different mutations, (2) adult macular degeneration progression using an SNP test with 13 loci, and (3) a noninvasive test for Rh compatibility between a mother and her unborn fetus.

http://www.genengnews.com/Media/images/Article/thumb_Illumina_HiSeq_Scientist2141841107.jpg

Scientists are using Illumina’s HiSeq system to discover molecular biomarkers that may provide opportunities for early detection of a range of diseases.

Sequenom has also set up an NGS facility within a CLIA lab in San Diego using Illumina’s HiSEQ platform. The NGS platform has been set up for noninvasive aneuploidy detection of maternal plasma (10 cc sample) looking at chromosomes 13, 18, and 21. The lab says it has analyzed more than 40,000 samples this year and is planning to increase that volume up to 100,000 samples per year. Most of these samples come from the U.S., but given the development of a new blood collection tube that allows for 72-hour ambient shipping, the lab is looking to increase the number of samples from outside the U.S.

Drug Development

During drug development, biomarkers function as pharmacodynamic markers to help assess the mechanism of action of a drug candidate, to define the downstream biological pathway, and to determine whether the drug is engaging the target with the anticipated biological effect. Later, biomarkers help determine whether a drug is effective using the tested regime (route of delivery, dosage level, and length of exposure time).

Following early development, the second stage is to use biomarkers to help segment patients for clinical trials. Part of the consideration here is how heterogeneous the disease is; are there homogeneous subsets of patients that will respond differentially to the drug based on different mechanisms of the disease?

“Biomarker research is focused on on- target effects,” says Nick Dracopoli, Ph.D., vp, head of oncology biomarkers at Janssen Research and Development, a J&J company.

“We look at indications and at patients with those indications that are most likely to respond to the drug candidates we’re developing. For oncology biomarkers, germ-line effects are weaker indicators than somatic changes in the tumor. As a consequence, SNP-based, genome-wide association studies are not very useful. It is better to focus on molecular changes within the tumor and define gene expression profiles and epigenetic modifications that correlate with the tumor phenotype. We are increasingly tracking patient immune response, particularly as more immuno-oncology products are moving into the drug development pipeline.”

The number of biomarkers being developed varies from project to project. But it is very clear that to be successful in the clinic, the biomarkers and the assays need to be of low complexity. Of the 10 to 12 companion diagnostics that have been approved by the FDA to date, all measure the status of the drug target (on-target markers). For example, EGFR measures the level of receptor expression; Braf and Kras markers measure the presence of the mutation and translocation in the ALK gene measures gene knockout.

It is important to realize that molecular profiles for first-in-class drugs are not optimal because they are based on only a few patients. Consequently they have weak predictive value overall.

“Aside from that rule of thumb, if you have a greater than 50% response rate for your drug, it is unlikely that you need a biomarker to predict response. Biomarker utility is best for drugs that would have a difficult road to approval, where it is critical to enrich for the subpopulation of responders. For example, Pfizer’s crizontinib was approved for non-small-cell lung patients but is only effective for 5% of all patients. If Pfizer was unable to demonstrate the relationship between activation of the ALK gene and disease, this inhibitor would not have been approved,” says Dr. Dracopoli.

“Drugs that are more broadly active can come to market without a companion diagnostic test. There is always a balance between the predictive values of the biomarker test and the response rates to treatment. That is, we should not treat if the chance of response is only 3–5%, rather than if it were 50% where the patient would want to take the chance if the drug were safe.”

An important take-home message is that mutations are not unique to an indication. So if you find a driver mutation in indications for which the drug has not been approved, you could discover new indications for the drug.

“At the end of the day, this is what cancer is—heterogeneous,” says Dr. Dracopoli. “We’d all love to treat one cancer with one drug and at one dose, but the story is more complex. The future of oncology is around understanding the molecular heterogeneity or underlying molecular pathology of the disease and the diversity of it, and then treat each patient accordingly.”

Clinical Considerations

“Given the complexity of biology,” says Achim Plum, Ph.D., principal consultant, Siemens, “whether is it cancer, metabolic disease, or any other disease state, we have been forced to move away from the idea that a single biomarker can capture the entire ‘story’ or mechanistic view of any disease. Hence newly developed biomarkers will be made up of a panel of markers that serve as a profile. In addition, with the sheer volume of DNA and protein analytics data, the clinic will need to employ software tools and algorithms to help the decision making.”

The task of getting broad profiling technologies that are analytical into a clinical setting and making them routine is difficult but not insurmontable. This will take a collaborative effort, something that Siemens among others are looking to develop. The key is to avoid technology hype and to establish good reliable software to process the data for decision making. “Data is not knowledge, and knowledge is not automatically decision making.”

As an academic, Daniel Chan, Ph.D., has a view of the whole value chain for biomarkers from discovery to development to use in the clinic. Dr. Chan holds the titles of professor in pathology, oncology, radiology, and urology, and is the director of the clinical chemistry division lab at Johns Hopkins Hospital.

Given his perspective from discovery to clinical use, Dr. Chan indicated that from the clinical point of view, “we need more markers.” He oversees the discovery of new biomarkers in his research lab, their validation in his translational research lab, and finally their utility in practice in his clinical chemistry lab. He is a strong advocate for collaboration of biomarker development from discovery to verification and validation to incorporation within the clinical practice.

Beyond the use of biomarkers for patient stratification and correlation between marker and therapeutic choice, as is the focus of the biopharma industry, for the clinic the use of biomarkers is for prevention and early detection. The earlier the detection, the better the outcome. That is, provide the “cure” before you need to initiate treatment.

To be successful in the future of biomarkers, we need to look beyond the biopharma focus and expand the horizon for early detection and monitor therapy later, says Dr. Chan. He describes a roadmap of developing bridges (to bridge the knowledge gaps), gates (decision gates for go/no go decisions as to whether a development path is viable), and partnerships (to collaborate with different points of view) for efficient new biomarker development.

According to Dr. Chan, we must define the intended use of the biomarker, which identifies the specific application and sets up the clinical study and study population to meet the clinical needs. We need to define specific assays to monitor biomarkers that will work within a clinical setting, not a research lab setting that uses disease models (tissue culture cells or small animals) and not real patient samples.

“The days when single markers are sufficient (PSA for prostate cancer or troponin for cardiovascular disease) are behind us. We need to develop a panel of markers or a profile pattern to address patient population heterogeneity and disease complexity that will guide our decision-making process,” remarks Dr. Chan. “Molecular biomarkers are giving way to protein biomarkers,” he adds.

Prevention and early detection will require the use of whole-body scans, so the sampling technology and analytical tools to be developed are critical to realize this goal. Assay ease of use, automation, and analytical performance that is suitable for the clinical lab are fundamental.

“An important future goal for biomarkers,” says Dr. Billings, “is to sample circulating tumor cells or circulating DNA in blood or plasma samples as a noninvasive measure of patient status. A decline in tumor biomarkers during chemotherapy, for example, could reflect the efficacy of the therapy. In contrast, an increase in tumor biomarkers, in a patient who had previously undergone surgery and therapy, might indicate disease recurrence, and is likely to do so before a tumor mass is detectable by imaging methods.”

STAT4 Gene Polymorphisms Are Associated with Susceptibility and ANA Status in Primary Biliary Cirrhosis

Satoru Joshita, T Umemura, M Nakamura, Y Katsuyama, S Shibata, et al.
Disease Markers  2014, Article ID 727393, 8 pages http://dx.doi.org/10.1155/2014/727393

Recent genome-wide association studies suggest that genetic factors contribute to primary biliary cirrhosis (PBC) susceptibility. Although several reports have demonstrated that the interleukin (IL) 12 signaling pathway is involved in PBC pathogenesis, its precise genetic factors have not been fully clarified. Here, we performed an association analysis between IL12A, IL12RB, and signal transducer and activator of transcription 4 (STAT4) genetic variations and susceptibility to PBC. Single nucleotide polymorphisms (SNPs) were genotyped in 395 PBC patients and 458 healthy subjects of Japanese ethnicity and evaluated for associations with PBC susceptibility, anti-nuclear antibody (ANA) status, and anti-mitochondrial antibody (AMA) status. We detected significant associations with PBC susceptibility for several STAT4 SNPs (rs10168266; p = 9.4 × 10−3, rs11889341; p = 1.2 × 10−3, rs7574865; p = 4.0 × 10−4, rs8179673; p = 2.0 × 10−4, and rs10181656; p = 4.2 × 10−5). Three risk alleles (rs7574865; p = 0.040, rs8179673; p = 0.032, and rs10181656; p = 0.031) were associated with ANA status, but not with AMA positivity. Our findings confirm that STAT4 is involved in PBC susceptibility and may play a role in ANA status in the Japanese population.

Serum Omentin-1 as a Disease Activity Marker for Crohn’s Disease

Yan Lu, Li Zhou, L Liu, Yan Feng, Li Lu, X Ren, X Dong, & W Sang
Disease Markers  2014, Article ID 162517, 5 pages   http://dx.doi.org/10.1155/2014/162517

Background and Aim. It remains challenging to determine the inflammatory activity in Crohn’s disease (CD) for lack of specific laboratory markers. Recent studies suggest that serum omentin-1 is associated with inflammatory response. We aimed to assess the potential of serum omentin-1 as a marker of disease activity in CD patients.
Methods. Serum omentin-1 concentrations were determined by enzyme-linked immunosorbent assay (ELISA) in patients with CD (n = 240), functional gastrointestinal disorders (FGDs, n = 120), and healthy controls (HC, n = 60) and evaluated for correlation with disease activity. Expression of omentin-1 in colonic tissues from patients with CD was also analyzed by real-time PCR and Western blotting. Serum omentin-1 levels as an activity index were evaluated using a receiver operating characteristic (ROC) curve.
Results. Serum omentin-1 concentrations were significantly decreased in active CD patients compared with patients in remission, FGDs, and HC (all p < 0.001). Expression of omentin-1 was decreased at mRNA and protein levels in inflamed colonic tissues in active CD than that in noninflamed colonic tissues. Serum omentin-1 levels were negatively correlated with disease activity in CD, better than C-reactive protein (CRP).
Conclusion. Our results indicate that serum and colonic omentin-1 expressions are decreased in active CD patients. The correlation of serum omentin-1 with disease activity in CD is superior to that of CRP. Serum omentin-1 is a potential marker for CD disease activity.
Serum Levels of Resistin, Adiponectin, and Apelin in Gastroesophageal Cancer Patients

Dorota Diakowska, K Markocka-Mdczka, P Szelachowski, and K Grabowski
Disease Markers 2014, Article ID 619649, 8 pages   http://dx.doi.org/10.1155/2014/619649

The aim of the study was the investigation of relationship between cachexia syndrome and serum resistin, adiponectin, and apelin in patients with gastroesophageal cancer (GEC).
Material and Methods. Adipocytokines concentrations were measured in sera of 85 GEC patients and 60 healthy controls. They were also evaluated in tumor tissue and appropriate normal mucosa of 38 operated cancer patients.
Results. Resistin and apelin concentrations were significantly higher in GEC patients than in the controls. The highest resistin levels were found in cachectic patients and in patients with distant metastasis. Serum adiponectin significantly decreased in GEC patients with regional and distant metastasis. Serum apelin was significantly higher in cachectic patients than in the controls. Apelin was positively correlated with hsCRP level. Resistin and apelin levels increased significantly in tumor tissues. Weak positive correlations between adipocytokines levels in serum and in tumor tissue were observed.
Conclusions. Resistin is associated with cachexia and metastasis processes of GEC. Reduction of serum adiponectin reflects adipose tissue wasting in relation to GEC progression. Correlation of apelin with hsCRP can reflect a presumable role of apelin in systemic inflammatory response in esophageal and gastric cancer.

Serum Level of HER-2 Extracellular Domain in Iranian Patients with Breast Cancer: A Follow-up Study

Mehrnoosh Doroudchi, Abdolrasoul Talei, Helmout Modjtahedi, et al.
IJI 2005; 2(4): 191-200

Background: A soluble form of HER-2/neu extracellular domain (sHER-2) is reported to be released in the sera of metastatic breast cancer patients.
Objective: To measure the level of sHER-2 in sera of 115 breast cancer patients. Methods: Serial samples of 27 patients with metastasis, 18 non-metastatic patients, 15 patients in stage 0/I and 14 patients with accompanying benign breast disease were also included in this study.
Results: No significant difference was observed between sHER-2 level in the pre-operative sera of breast cancer patients and that of healthy individuals. Only 8 out of 27 patients whom later developed metastasis showed elevated levels of sHER-2 in their first serum sample. However, a trend of increase in the level of sHER-2 was observed in 14 (51.8%) of 27 metastatic sera before clinical diagnosis of the metastasis. A significant association between sHER-2 positive status and vascular invasion of the tumor was observed (P = 0.02). In addition, significant correlation of sHER-2 level with CEA (highest r = 0.74) and CA 15.3 (highest r = 0.74) tumor marker levels in the serial sera were observed. The mean time from sHER-2 positivity to tumor metastasis was calculated to be 98 days (range = 29-174).  Conclusion: Our results indicate that a relatively high percentage of Iranian patients with breast cancer show an elevated level of sHER-2 in their sera before clinical diagnosis of the tumor metastasis. Therefore, measuring the level of this oncoprotein, not only helps physicians in monitoring the patients during HERCEPTIN therapy, but also can be helpful in choosing more aggressive treatments at the early satges of tumor metastasis.
B-type natriuretic peptide is a biomarker for pulmonary hypertension in preterm infants with bronchopulmonary dysplasia

Alain Cuna, Jegen Kandasamy, Naomi Fineberg, Brian Sims
Research and Reports in Neonatology 2013:3 33–36
http://dx.doi.org/10.2147/RRN.S42236

Background: B-type natriuretic peptide (BNP) is a cardiac biomarker useful in screening for pulmonary hypertension (PH) in adults. It is possible that BNP may also be useful in detecting PH among preterm infants with bronchopulmonary dysplasia (BPD).
Objective: To determine the utility of BNP for identification of PH among preterm infants with BPD.
Methods: We retrospectively identified preterm infants with BPD who underwent screening echocardiography for suspected PH and had serum BNP levels measured within 10 days before or after echocardiography. Eligible infants were classified based on echocardiographic diagnosis of either PH or no PH. Median and interquartile ranges (IQR) of BNP values were compared, and area under the curve (AUC) of receiver operator characteristic (ROC) analysis was used to determine the optimum threshold value for detection of PH.
Results: Twenty-five preterm infants with BPD (mean gestational age 26.5 ± 1.7 weeks, mean birth weight 747 ± 248 g) were identified. The median difference in days between echocardiography and BNP measurement was 1 day (IQR 0–3, range 0–10 days). Based on echocardiography, 16 were diagnosed with PH and nine without PH. No significant difference in terms of gestational age, birth weight, sex, race, or respiratory support was found between the two groups. Median (IQR) BNP values of those with PH were higher than those without PH (413 [212–1178] pg/mL versus 55 [21–84] pg/mL, P , 0.001). AUC of ROC analysis showed that a BNP value of 117 pg/mL had 93.8% sensitivity and 100% specificity for detecting PH.
Conclusion: BNP estimation may be useful for screening of PH in infants with BPD.

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Pharmacogenomics

Writer and Curator: Larry H. Bernstein, MD, FCAP

 

Implementation and utilization of genetic testing in personalized medicine

NS Abul-Husn, AO Obeng, SC Sanderson, O Gottesman, S A Scott
Pharmacogenomics and Personalized Medicine 2014:7 227–240
http://dx.doi.org/10.2147/PGPM.S48887

Clinical genetic testing began over 30 years ago with the availability of mutation detection for sickle cell disease diagnosis. Since then, the field has dramatically transformed to include gene sequencing, high-throughput targeted genotyping, prenatal mutation detection, preimplantation genetic diagnosis, population-based carrier screening, and now genome-wide analyses using microarrays and next-generation sequencing. Despite these significant advances in molecular technologies and testing capabilities, clinical genetics laboratories historically have been centered on mutation detection for Mendelian disorders. However, the ongoing identification of deoxyribonucleic acid (DNA) sequence variants associated with common diseases prompted the availability of testing for personal disease risk estimation, and created commercial opportunities for direct-to-consumer genetic testing companies that assay these variants. This germline genetic risk, in conjunction with other clinical, family, and demographic variables, are the key components of the personalized medicine paradigm, which aims to apply personal genomic and other relevant data into a patient’s clinical assessment to more precisely guide medical management. However, genetic testing for disease risk estimation is an ongoing topic of debate, largely due to inconsistencies in the results, concerns over clinical validity and utility, and the variable mode of delivery when returning genetic results to patients in the absence of traditional counseling. A related class of genetic testing with analogous issues of clinical utility and acceptance is pharmacogenetic testing, which interrogates sequence variants implicated in interindividual drug response variability. Although clinical pharmacogenetic testing has not previously been widely adopted, advances in rapid turnaround time genetic testing technology and the recent implementation of preemptive genotyping programs at selected medical centers suggest that personalized medicine through pharmacogenetics is now a reality. This review aims to summarize the current state of implementing genetic testing for personalized medicine, with an emphasis on clinical pharmacogenetic testing.

Pharmacogenomic knowledge gaps and educational resource needs among physicians in selected specialties

Katherine A Johansen Taber, Barry D Dickinson
Pharmacogenomics and Personalized Medicine 2014:7 145–162
http://dx.doi.org/10.2147/PGPM.S63715

Background: The use of pharmacogenomic testing in the clinical setting has the potential to improve the safety and effectiveness of drug therapy, yet studies have revealed that physicians lack knowledge about the topic of pharmacogenomics, and are not prepared to implement it in the clinical setting. This study further explores the pharmacogenomic knowledge deficit and educational resource needs among physicians.
Materials and methods: Surveys of primary care physicians, cardiologists, and psychiatrists were conducted.
Results: Few physicians reported familiarity with the topic of pharmacogenomics, but more reported confidence in their knowledge about the influence of genetics on drug therapy. Only a small minority had undergone formal training in pharmacogenomics, and a majority reported being unsure what type of pharmacogenomic tests were appropriate to order for the clinical situation. Respondents indicated that an ideal pharmacogenomic educational resource should be electronic and include such components as how to interpret pharmacogenomic test results, recommendations for prescribing, population subgroups most likely to be affected, and contact information for laboratories offering pharmacogenomic testing.
Conclusion: Physicians continue to demonstrate pharmacogenomic knowledge gaps, and are unsure about how to use pharmacogenomic testing in clinical practice. Educational resources that are clinically oriented and easily accessible are preferred by physicians, and may best support appropriate clinical implementation of pharmacogenomics.

Developing genomic knowledge bases and databases to support clinical management: current perspectives

Vojtech Huser, Murat Sincan, James J Cimino
Pharmacogenomics and Personalized Medicine 2014:7 275–283
http://dx.doi.org/10.2147/PGPM.S49904

Personalized medicine, the ability to tailor diagnostic and treatment decisions for individual patients, is seen as the evolution of modern medicine. We characterize here the informatics resources available today or envisioned in the near future that can support clinical interpretation of genomic test results. We assume a clinical sequencing scenario (germline whole-exome sequencing) in which a clinical specialist, such as an endocrinologist, needs to tailor patient management decisions within his or her specialty (targeted findings) but relies on a genetic counselor to interpret off-target incidental findings. We characterize the genomic input data and list various types of knowledge bases that provide genomic knowledge for generating clinical decision support. We highlight the need for patient-level databases with detailed lifelong phenotype content in addition to genotype data and provide a list of recommendations for personalized medicine knowledge bases and databases. We conclude that no single knowledge base can currently support all aspects of personalized recommendations and that consolidation of several current resources into larger, more dynamic and collaborative knowledge bases may offer a future path forward.

 

Tumor Heterogeneity: Mechanisms and Bases for a Reliable Application of Molecular Marker Design

Salvador J. Diaz-Cano
Int. J. Mol. Sci. 2012, 13, 1951-2011; http://dx.doi.org/10.3390/ijms13021951

Tumor heterogeneity is a confusing finding in the assessment of neoplasms, potentially resulting in inaccurate diagnostic, prognostic and predictive tests. This tumor heterogeneity is not always a random and unpredictable phenomenon, whose knowledge helps designing better tests. The biologic reasons for this intratumoral heterogeneity would then be important to understand both the natural history of neoplasms and the selection of test samples for reliable analysis. The main factors contributing to intratumoral heterogeneity inducing gene abnormalities or modifying its expression include: the gradient ischemic level within neoplasms, the action of tumor microenvironment (bidirectional interaction between tumor cells and stroma), mechanisms of intercellular transference of genetic information (exosomes), and differential mechanisms of sequence-independent modifications of genetic material and proteins. The intratumoral heterogeneity is at the origin of tumor progression and it is also the byproduct of the selection process during progression. Any analysis of heterogeneity mechanisms must be integrated within the process of segregation of genetic changes in tumor cells during the clonal expansion and progression of neoplasms. The evaluation of these mechanisms must also consider the redundancy and pleiotropism of molecular pathways, for which appropriate surrogate markers would support the presence or not of heterogeneous genetics and the main mechanisms responsible. This knowledge would constitute a solid scientific background for future therapeutic planning.

Systematic evaluation of connectivity map for disease indications

Jie Cheng, Lun Yang, Vinod Kumar and Pankaj Agarwal
Genome Medicine 2014, 6:95 http://genomemedicine.com/content/6/12/95

Background: Connectivity map data and associated methodologies have become a valuable tool in understanding drug mechanism of action (MOA) and discovering new indications for drugs. One of the key ideas of connectivity map (CMAP) is to measure the connectivity between disease gene expression signatures and compound-induced gene expression profiles. Despite multiple impressive anecdotal validations, only a few systematic evaluations have assessed the accuracy of this aspect of CMAP, and most of these utilize drug-to-drug matching to transfer indications across the two drugs.
Methods: To assess CMAP methodologies in a more direct setting, namely the power of classifying known drug-disease relationships, we evaluated three CMAP-based methods on their prediction performance against a curated dataset of 890 true drug-indication pairs. The disease signatures were generated using Gene Logic BioExpress system and the compound profiles were derived from the Connectivity Map database (CMAP, build 02, http://www.broadinstitute.org/CMAP/).
Results: The similarity scoring algorithm called eXtreme Sum (XSum) better than the standard Kolmogorov-Smirnov (KS) statistic in terms of the area under curve and can achieve a four-fold enrichment at 0.01, false positive rate level, with AUC = 2.2E-4, P value = 0.0035.
Conclusion: Connectivity map can significantly enrich true positive drug-indication pairs given an effective matching algorithm.

Pharmacogenetics of Statin-Induced Myopathy: A Focused Review of the Clinical Translation of Pharmacokinetic Genetic Variants

Jasmine A Talameh and Joseph P Kitzmiller
J Pharmacogenomics Pharmacoproteomics 2014, 5:2 http://dx.doi.org/10.4172/2153-0645.1000128

Statins are the most commonly prescribed drugs in the United States and are extremely effective in reducing major cardiovascular events in the millions of Americans with hyperlipidemia. However, many patients (up to 25%) cannot tolerate or discontinue statin therapy due to statin-induced myopathy (SIM). Patients will continue to experience SIM at unacceptably high rates or experience unnecessary cardiovascular events (as a result of discontinuing or decreasing their statin therapy) until strategies for predicting or mitigating SIM are identified. A promising strategy for predicting or mitigating SIM is pharmacogenetic testing particularly of pharmacokinetic genetic variants as SIM is  related to statin exposure. Data is emerging on the association between pharmacokinetic genetic variants and SIM.
A current, critical evaluation of the literature on pharmacokinetic genetic variants and SIM for potential translation to clinical practice is lacking. This review focuses specifically on pharmacokinetic genetic variants and their association with SIM clinical outcomes. We also discuss future directions, specific to the research on pharmacokinetic genetic variants, which could speed the translation into clinical practice. For simvastatin, we did not find sufficient evidence to support the clinical translation of pharmacokinetic genetic variants other than SLCO1B1. However, SLCO1B1 may also be clinically relevant for pravastatin- and pitavastatin-induced myopathy, but additional studies assessing SIM clinical outcome are needed. CYP2D6*4 may be clinically relevant for atorvastatin-induced myopathy, but mechanistic studies are needed. Future research efforts need to incorporate statin-specific analyses, multi-variant analyses, and a standard definition of SIM. As the use of statins is extremely common and SIM continues to occur in a significant number of patients, future research investments in pharmacokinetic genetic variants have the potential to make a profound impact on public health.

Benefits of Pharmacogenetics in the Management of Hypertension

Clara Torrellas, Juan Carlos Carril and Ramón Cacabelos
J Pharmacogenomics Pharmacoproteomics 2014, 5:2 http://dx.doi.org/10.4172/2153-0645.1000126

Introduction: Hypertension, suffered by 35% of the population, stands out as the main risk factor for cardiovascular disorders with the highest death rate worldwide. Only a small number of patients with hypertension gets efficient control over blood pressure (BP) with appropriate drug therapy.  harmacogenetics, as a tool to identify antihypertensive therapeutic response-associated polymorphisms, could help to reduce this problem.
Objectives: We present here an epidemiological study of the prevalence of hypertension and its pharmacological treatment to demonstrate the error rate that physicians can commit when the patient´s pharmacogenetic profile is unknown.
Method: The sample consisted of 1115 individuals of which 332 met criteria for hypertension. We recorded each patient´s drug prescription prior to their visit to EuroEspes Biomedical Research Center, and analyzed their pharmacogenetic profile.
Results: About 30% of patients were hypertensive, of whom only 40.4% were receiving an active ingredient for hypertension control. Among them, CYP3A4/5 and CYP2C9 were the major metabolizing enzymes. Antagonists of angiotensin II receptors, followed by calcium-blocking agents and beta-adrenergic antagonists were the most commonly-prescribed drug categories. However, 61% of hypertensive patients were not taking suitable antihypertensive agents for their metabolism according to their genetic idiosyncrasy. Furthermore, the highest error rate was determined for CYP2C9.
Conclusion: The introduction of changes in the management of hypertension in the Spanish population could be useful to promote the prevention and treatment of high blood pressure in a more efficient way. The integration of pharmacogenetic testing into routine clinical procedures could optimize the therapeutic response, guiding the physician in the choice of the correct antihypertensive drug and the correct dose. The control of BP arises as an area of particular interest in assessing the validity and utility of pharmacogenetic testing/intervention.

Pharmacogenomics Study of Clopidogrel by RFLP based Genotyping of CYP2C19 in Cardiovascular Disease Patients in North-East Population of India

Prasanthi SV, Vinayak S Jamdade, Nityanand B Bolshette, Ranadeep Gogoi and Mangala Lahkar
J Pharmacogenomics Pharmacoproteomics 2014, 5:3 http://dx.doi.org/10.4172/2153-0645.1000132

Introduction and Objective: Pharmacogenetics is a genetically determined variability in drug responses. The genes and their allelic variants which affect our response to drugs are the main routes in development of pharmacogenetics. Clopidogrel is an antiplatelet drug, used against athero-thrombotic events in cardiovascular patients. The objective of our study was to identify the CYP2C19 Single Nucleotide Polymorphisms, responsible for altering the metabolism of clopidogrel, at gene level. And to document the prevalence of CYP2C19 gene mutations in clopidogrel treated cardiovascular disease patients in Assam population, Guwahati Medical College & Hospital, in North- East India.
Patients and Methods: We have studied 60 patients who received clopidogrel from Gauhati medical college and hospital Assam. Genomic DNA was extracted by using Hipura blood genomic DNA extracting mini preparation kit by following the manufacturer’s instructions.RFLP analysis was done by DNA amplification which was carried out by using set of primers and resulting ampicons of CYP2C19*2;CYP2C19*3 and CYP2C19*17 were subjected for Restriction digestion with SmaI, BamHI and Lwe0I respectively.
Results: We found that CYP2C19*2 had allelic frequency of ~40% in Gauhati Medical College and Hospital, Assam, North East India. None of the samples were mutated with CYP2C19*3 andCYP2C19*17 allele. Other CYP2C19 variant alleles with reduced or absent enzymatic activity have been identified. Conclusion: We found that loss of functional allele CYP2C19*2 had higher carriage frequency; whereas, CYP2C19*3 and *17 alleles were not found in cardiovascular patients who were taking clopidogrel. Personalized therapy targeting patients who carry these genetic variants might help to improve the clinical outcome.

Role of cytochrome P450 genotype in the steps toward personalized drug therapy

Larisa H Cavallari, Hyunyoung Jeong, Adam Bress
Pharmacogenomics and Personalized Medicine 2011:4 123–136
http://dx.doi.org/10.2147/PGPM.S15497

Genetic polymorphism for cytochrome 450 (P450) enzymes leads to interindividual variability in the plasma concentrations of many drugs. In some cases, P450 genotype results in decreased enzyme activity and an increased risk for adverse drug effects. For example, individuals with the CYP2D6 loss-of-function genotype are at increased risk for ventricular arrhythmia if treated with usual does of thioridazine. In other cases, P450 genotype may influence the dose of a drug required to achieve a desired effect. This is the case with warfarin, with lower doses often necessary in carriers of a variant CYP2C9*2 or *3 allele to avoid supratherapeutic anticoagulation. When a prodrug, such as clopidogrel or codeine, must undergo hepatic biotransformation to its active form, a loss-of-function P450 genotype leads to reduced concentrations of the active drug and decreased drug efficacy. In contrast, patients with multiple CYP2D6 gene copies are at risk for opioid-related toxicity if treated with usual doses of codeine-containing analgesics. At least 25 drugs contain information in their US Food and Drug Administration-approved labeling regarding P450 genotype. The CYP2C9, CYP2C19, and CYP2D6 genes are the P450 genes most often cited. To date, integration of P450 genetic information into clinical decision making is limited. However, some institutions are beginning to embrace routine P450 genotyping to assist in the treatment of their patients. Genotyping for P450 variants may carry less risk for discrimination compared with genotyping for disease-associated variants. As such, P450 genotyping is likely to lead the way in the clinical implementation of pharmacogenomics. This review discusses variability in the CYP2C9, CYP2C19, and CYP2D6 genes and the implications of this for drug efficacy and safety.

Asthma pharmacogenetics and the development of genetic profiles for personalized medicine

Victor E Ortega, Deborah A Meyers, Eugene R Bleecker
Pharmacogenomics and Personalized Medicine 2015:8 9–22
http://dx.doi.org/10.2147/PGPM.S52846

Human genetics research will be critical to the development of genetic profiles for personalized or precision medicine in asthma. Genetic profiles will consist of gene variants that predict individual disease susceptibility and risk for progression, predict which pharmacologic therapies will result in a maximal therapeutic benefit, and predict whether a therapy will result in an adverse response and should be avoided in a given individual. Pharmacogenetic studies of the glucocorticoid, leukotriene, and β2-adrenergic receptor pathways have focused on candidate genes within these pathways and, in addition to a small number of genome-wide association studies, have identified genetic loci associated with therapeutic responsiveness. This review summarizes these pharmacogenetic discoveries and the future of genetic profiles for personalized medicine in asthma. The benefit of a personalized, tailored approach to health care delivery is needed in the development of expensive biologic drugs directed at a specific biologic pathway. Prior pharmacogenetic discoveries, in combination with additional variants identified in future studies, will form the basis for future genetic profiles for personalized tailored approaches to maximize therapeutic benefit for an individual asthmatic while minimizing the risk for adverse events.

Clinical application of high throughput molecular screening techniques for pharmacogenomics

Arun P Wiita, Iris Schrijver
Pharmacogenomics and Personalized Medicine 2011:4 109–121
http://dx.doi.org/10.2147/PGPM.S15302

Genetic analysis is one of the fastest-growing areas of clinical diagnostics. Fortunately, as our knowledge of clinically relevant genetic variants rapidly expands, so does our ability to detect these variants in patient samples. Increasing demand for genetic information may necessitate the use of high throughput diagnostic methods as part of clinically validated testing. Here we provide a general overview of our current and near-future abilities to perform large-scale genetic testing in the clinical laboratory. First we review in detail molecular methods used for high throughput mutation detection, including techniques able to monitor thousands of genetic variants for a single patient or to genotype a single genetic variant for thousands of patients simultaneously. These methods are analyzed in the context of pharmacogenomic testing in the clinical laboratories, with a focus on tests that are currently validated as well as those that hold strong promise for widespread clinical application in the near future. We further discuss the unique economic and clinical challenges posed by pharmacogenomic markers. Our ability to detect genetic variants frequently outstrips our ability to accurately interpret them in a clinical context, carrying implications both for test development and introduction into patient management algorithms. These complexities must be taken into account prior to the introduction of any pharmacogenomic biomarker into routine clinical testing.

Clinical implementation of RNA signatures for pharmacogenomic decision-making

Weihua Tang, Zhiyuan Hu, Hind Muallem, Margaret L Gulley
Pharmacogenomics and Personalized Medicine 2011:4 95–107
http://dx.doi.org/10.2147/PGPM.S14888

RNA profiling is increasingly used to predict drug response, dose, or toxicity based on analysis of drug pharmacokinetic or pharmacodynamic pathways. Before implementing multiplexed RNA arrays in clinical practice, validation studies are carried out to demonstrate sufficient evidence of analytic and clinical performance, and to establish an assay protocol with quality assurance measures. Pathologists assure quality by selecting input tissue and by interpreting results in the context of the input tissue as well as the technologies that were used and the clinical setting in which the test was ordered. A strength of RNA profiling is the array-based measurement of tens to thousands of RNAs at once, including redundant tests for critical analytes or pathways to promote confidence in test results. Instrument and reagent manufacturers are crucial for supplying reliable components of the test system. Strategies for quality assurance include careful attention to RNA preservation and quality checks at pertinent steps in the assay protocol, beginning with specimen collection and proceeding through the variousphases of transport, processing, storage, analysis, interpretation, and reporting. Specimen quality is checked by probing housekeeping transcripts, while spiked and exogenous controls serve as a check on analytic performance of the test system. Software is required to manipulate abundant array data and present it for interpretation by a laboratory physician who reports results in a manner facilitating therapeutic decision-making. Maintenance of the assay requires periodic documentation of personnel competency and laboratory proficiency. These strategies are shepherding genomic arrays into clinical settings to provide added value to patients and to the larger health care system.

Dysregulation of the homeobox transcription factor gene HOXB13: role in prostate cancer

Brennan Decker, Elaine A Ostrander
Pharmacogenomics and Personalized Medicine 2014:7 193–201
http://dx.doi.org/10.2147/PGPM.S38117

Prostate cancer (PC) is the most common noncutaneous cancer in men, and epidemiological studies suggest that about 40% of PC risk is heritable. Linkage analyses in hereditary PC families have identified multiple putative loci. However, until recently, identification of specific risk alleles has proven elusive. Cooney et al used linkage mapping and segregation analysis to identify a putative risk locus on chromosome 17q21-22. In search of causative variant(s) in genes from the candidate region, a novel, potentially deleterious G84E substitution in homeobox transcription factor gene HOXB13 was observed in multiple hereditary PC families. In follow-up testing, the G84E allele was enriched in cases, especially those with an early diagnosis or positive family history of disease. This finding was replicated by others, confirming HOXB13 as a PC risk gene. The HOXB13 protein plays diverse biological roles in embryonic development and terminally differentiated tissue. In tumor cell lines, HOXB13 participates in a number of biological functions, including coactivation and localization of the androgen receptor and FOXA1. However, no consensus role has emerged and many questions remain. All HOXB13 variants with a proposed role in PC risk are predicted to damage the protein and lie in domains that are highly conserved across species. The G84E variant has the strongest epidemiological support and lies in a highly conserved MEIS protein-binding domain, which binds cofactors required for activation. On the basis of epidemiological and biological data, the G84E variant likely modulates the interaction between the HOXB13 protein and the androgen receptor, as well as affecting FOXA1-mediated transcriptional programming. However, further studies of the mutated protein are required to clarify the mechanisms by which this translates into PC risk.

Patient selection and targeted treatment in the management of platinum-resistant ovarian cancer

Christopher P Leamon, Chandra D Lovejoy, Binh Nguyen
Pharmacogenomics and Personalized Medicine 2013:6 113–125
http://dx.doi.org/10.2147/PGPM.S24943

Ovarian cancer (OC) has the highest mortality rate of any gynecologic cancer, and patients generally have a poor prognosis due to high chemotherapy resistance and late stage disease diagnosis. Platinum-resistant OC can be treated with cytotoxic chemotherapy such as paclitaxel, topotecan, pegylated liposomal doxorubicin, and gemcitabine, but many patients eventually relapse upon treatment. Fortunately, there are currently a number of targeted therapies in development for these patients who have shown promising results in recent clinical trials. These treatments often target the vascular endothelial growth factor pathway (eg, bevacizumab and aflibercept), DNA repair mechanisms (eg, iniparib and olaparib), or they are directed against folate related pathways (eg, pemetrexed, farletuzumab, and vintafolide). As many targeted therapies are only effective in a subset of patients, there is an increasing need for the identification of response predictive biomarkers. Selecting the right patients through biomarker screening will help tailor therapy to patients and decrease superfluous treatment to those who are biomarker negative; this approach should lead to improved clinical results and decreased toxicities. In this review the current targeted therapies used for treating platinum-resistant OC are discussed. Furthermore, use of prognostic and response predictive biomarkers to define OC patient populations that may benefit from specific targeted therapies is also highlighted.

Pharmacogenetics in breast cancer: steps toward personalized medicine in breast cancer management

Sarah Rofaiel, Esther N Muo1, Shaker A Mousa
Pharmacogenomics and Personalized Medicine 2010:3 129–143
http://dx.dpi.org:/10.2147/PGPM.S10789

There is wide individual variability in the pharmacokinetics, pharmacodynamics, and tolerance to anticancer drugs within the same ethnic group and even greater variability among different ethnicities. Pharmacogenomics (PG) has the potential to provide personalized therapy based on individual genetic variability in an effort to maximize efficacy and reduce adverse effects. The benefits of PG include improved therapeutic index, improved dose regimen, and selection of optimal types of drug for an individual or set of individuals. Advanced or metastatic breast cancer is typically treated with single or multiple combinations of chemotherapy regimens including anthracyclines, taxanes, antimetabolites, alkylating agents, platinum drugs, vinca alkaloids, and others. In this review, the PG of breast cancer therapeutics, including tamoxifen, which is the most widely used therapeutic for the treatment of hormone-dependent breast cancer, is reviewed. The pharmacological activity of tamoxifen depends on its conversion by cytochrome P450 2D6 (CYP2D6) to its abundant active metabolite, endoxifen. Patients with reduced CYP2D6 activity, as a result of either their genotype or induction by the coadministration of other drugs that inhibit CYP2D6 function, produce little endoxifen and hence derive limited therapeutic benefit from tamoxifen; the same can be said about the different classes of therapeutics in breast cancer. PG studies of breast cancer therapeutics should provide patients with breast cancer with optimal and personalized therapy

Novel treatment strategies in triple-negative breast cancer: specific role of poly(adenosine diphosphate-ribose) polymerase inhibition

M William Audeh
Pharmacogenomics and Personalized Medicine 2014:7 307–316
http://dx.doi.org/10.2147/PGPM.S39765

Inhibitors of the poly(adenosine triphosphate-ribose) polymerase (PARP)-1 enzyme induce synthetic lethality in cancers with ineffective DNA (DNA) repair or homologous repair deficiency, and have shown promising clinical activity in cancers deficient in DNA repair due to germ-line mutation in BRCA1 and BRCA2. The majority of breast cancers arising in carriers of BRCA1 germ-line mutations, as well as half of those in BRCA2 carriers, are classified as triple-negative breast cancer (TNBC). TNBC is a biologically heterogeneous group of breast cancers characterized by the lack of immunohistochemical expression of the ER, PR, or HER2 proteins, and for which the current standard of care in systemic therapy is cytotoxic chemotherapy. Many “sporadic” cases of TNBC appear to have indicators of DNA repair dysfunction similar to those in BRCA-mutation carriers, suggesting the possible utility of PARP inhibitors in a subset of TNBC. Significant genetic heterogeneity has been observed within the TNBC cohort, creating challenges for interpretation of prior clinical trial data, and for the design of future clinical trials. Several PARP inhibitors are currently in clinical development in BRCA-mutated breast cancer. The use of PARP inhibitors in TNBC without BRCA mutation will require biomarkers that identify cancers with homologous repair deficiency in order to select patients likely to respond. Beyond mutations in the BRCA genes, dysfunction in other genes that interact with the homologous repair pathway may offer opportunities to induce synthetic lethality when combined with PARP inhibition.

Clinical potential of novel therapeutic targets in breast cancer: CDK4/6, Src, JAK/STAT, PARP, HDAC, and PI3K/AKT/mTOR pathways

Sarah R Hosford, Todd W Miller
Pharmacogenomics and Personalized Medicine 2014:7 203–215
http://dx.doi.org/10.2147/PGPM.S52762

Breast cancers expressing estrogen receptor α, progesterone receptor, or the human epidermal growth factor receptor 2 (HER2) proto-oncogene account for approximately 90% of cases, and treatment with antiestrogens and HER2-targeted agents has resulted in drastically improved survival in many of these patients. However, de novo or acquired resistance to antiestrogen and HER2-targeted therapies is common, and many tumors will recur or progress despite these treatments. Additionally, the remaining 10% of breast tumors are negative for estrogen receptor α, progesterone receptor, and HER2 (“triple-negative”), and a clinically proven tumor-specific drug target for this group has not yet been identified. Therefore, the identification of new therapeutic targets in breast cancer is of vital clinical importance. Preclinical studies elucidating the mechanisms driving resistance to standard therapies have identified promising targets including cyclin-dependent kinase 4/6, phosphoinositide 3-kinase, poly adenosine diphosphate–ribose polymerase, Src, and histone deacetylase. Herein, we discuss the clinical potential and status of new therapeutic targets in breast cancer.

Overview of diagnostic/targeted treatment combinations in personalized medicine for breast cancer patients

Anna Tessari, Dario Palmieri, Serena Di Cosimo
Pharmacogenomics and Personalized Medicine 2014:7 1–19
http://dx.doi.org/10.2147/PGPM.S53304

Breast cancer includes a body of molecularly distinct subgroups, characterized by different presentation, prognosis, and sensitivity to treatments. Significant advances in our understanding of the complex architecture of this pathology have been achieved in the last few decades, thanks to new biotechnologies that have recently come into the research field and the clinical practice, giving oncologists new instruments that are based on biomarkers and allowing them to set up a personalized approach for each individual patient. Here we review the main treatments available or in preclinical development, the biomolecular diagnostic and prognostic approaches that changed our perspective about breast cancer, giving an overview of targeted therapies that represent the current standard of care for these patients. Finally, we report some examples of how new technologies in clinical practice can set in motion the development of new drugs.

Human ABC transporter ABCG2/BCRP expression in chemoresistance: basic and clinical perspectives for molecular cancer therapeutics

Kohji Noguchi, Kazuhiro Katayama, Yoshikazu Sugimoto
Pharmacogenomics and Personalized Medicine 2014:7 53–64
http://dx.doi.org/10.2147/PGPM.S38295

Adenosine triphosphate (ATP)-binding cassette (ABC) transporter proteins, such as ABCB1/P-glycoprotein (P-gp) and ABCG2/breast cancer resistance protein (BCRP), transport various structurally unrelated compounds out of cells. ABCG2/BCRP is referred to as a “half-type” ABC transporter, functioning as a homodimer, and transports anticancer agents such as irinotecan, 7-ethyl-10-hydroxycamptothecin (SN-38), gefitinib, imatinib, methotrexate, and mitoxantrone from cells. The expression of ABCG2/BCRP can confer a multidrug-resistant phenotype on cancer cells and affect drug absorption, distribution, metabolism, and excretion in normal tissues, thus modulating the in vivo efficacy of chemotherapeutic agents. Clarification of the substrate preferences and structural relationships of ABCG2/BCRP is essential for our understanding of the molecular mechanisms underlying its effects in vivo during chemotherapy. Its single-nucleotide polymorphisms are also involved in determining the efficacy of chemotherapeutics, and those that reduce the functional activity of ABCG2/BCRP might be associated with unexpected adverse effects from normal doses of anticancer drugs that are ABCG2/BCRP substrates. Importantly, many recently developed molecular-targeted cancer drugs, such as the tyrosine kinase inhisbitors, imatinib mesylate, gefitinib, and others, can also interact with ABCG2/BCRP. Both functional single-nucleotide polymorphisms and inhibitory agents of ABCG2/BCRP modulate the in vivo pharmacokinetics and pharmacodynamics of these molecular cancer treatments, so the pharmacogenetics of ABCG2/BCRP is an important consideration in the application of molecular-targeted chemotherapies.

Bosutinib: a SRC–ABL tyrosine kinase inhibitor for treatment of chronic myeloid leukemia

Fuad El Rassi, Hanna Jean Khoury
Pharmacogenomics and Personalized Medicine 2013:6 57–62
http://dx.doi.org/10.2147/PGPM.S32145

Bosutinib is one of five tyrosine kinase inhibitors commercially available in the United States for the treatment of chronic myeloid leukemia. This review of bosutinib summarizes the mode of action, pharmacokinetics, efficacy and safety data, as well as the patient-focused perspective through quality-of-life data. Bosutinib has shown considerable and sustained efficacy in chronic myeloid leukemia, especially in the chronic phase, with resistance or intolerance to prior tyrosine kinase inhibitors. Bosutinib has distinct but manageable adverse events. In the absence of T315I and V299L mutations, there are no absolute contraindications for the use of bosutinib in this patient population.

Toward precision medicine with next-generation EGFR inhibitors in non-small-cell lung cancer
Timothy A Yap, Sanjay Popat
Pharmacogenomics and Personalized Medicine 2014:7 285–295
http://dx.doi.org/10.2147/PGPM.S55339

The use of genomics to discover novel targets and biomarkers has placed the field of oncology at the forefront of precision medicine. First-generation epidermal growth factor receptor (EGFR) inhibitors have transformed the therapeutic landscape of EGFR mutant non-small-cell lung carcinoma through the genetic stratification of tumors from patients with this disease. Somatic EGFR mutations in lung adenocarcinoma are now well established as predictive biomarkers of response and resistance to small-molecule EGFR inhibitors. Despite early patient benefit, primary resistance and subsequent tumor progression to first-generation EGFR inhibitors are seen in 10%–30% of patients with EGFR mutant non-small-cell lung carcinoma. Acquired drug resistance is also inevitable, with patients developing disease progression after only 10–13 months of antitumor therapy. This review details strategies pursued in circumventing T790M-mediated drug resistance to EGFR inhibitors, which is the most common mechanism of acquired resistance, and focuses on the clinical development of second-generation EGFR inhibitors, exemplified by afatinib (BIBW2992). We discuss the rationale, mechanism of action, clinical efficacy, and toxicity profile of afatinib, including the LUX-Lung studies. We also discuss the emergence of third-generation irreversible mutant-selective inhibitors of EGFR and envision the future management of EGFR mutant lung adenocarcinoma.

ALK-driven tumors and targeted therapy: focus on crizotinib

Carlos Murga-Zamalloa, Megan S Lim
Pharmacogenomics and Personalized Medicine 2014:7 87–94
http://dx.doi.org/10.2147/PGPM.S37504

Receptor tyrosine kinases have emerged as promising therapeutic targets for a diverse set of tumors. Overactivation of the tyrosine kinase anaplastic lymphoma kinase (ALK) has been reported in several types of malignancies such as anaplastic large cell lymphoma, inflammatory myofibroblastic tumor, neuroblastoma, and non-small-cell lung carcinoma. Further characterization of the molecular role of ALK has revealed an oncogenic signaling signature that results in tumor dependence on ALK. ALK-positive tumors display a different behavior than their ALK-negative counterparts; however, the specific role of ALK in some of these tumors remains to be elucidated. Although more studies are required to establish selective targeting of ALK as a definitive therapeutic option, initial trials have shown extraordinary results in the majority of cases.

Non-small-cell lung cancer: molecular targeted therapy and personalized medicine – drug resistance, mechanisms, and strategies

Marybeth Sechler, AD Cizmic, S Avasarala, M Van Scoyk, C Brzezinski, et al.
Pharmacogenomics and Personalized Medicine 2013:6 25–36
http://dx.doi.org/10.2147/PGPM.S26058

Targeted therapies for cancer bring the hope of specific treatment, providing high efficacy and in some cases lower toxicity than conventional treatment. Although targeted therapeutics have helped immensely in the treatment of several cancers, like chronic myelogenous leukemia, colon cancer, and breast cancer, the benefit of these agents in the treatment of lung cancer remains limited, in part due to the development of drug resistance. In this review, we discuss the mechanisms of drug resistance and the current strategies used to treat lung cancer. A better understanding of these drug-resistance mechanisms could potentially benefit from the development of a more robust personalized medicine approach for the treatment of lung cancer.

ERCC1 and XRCC1 as biomarkers for lung and head and neck cancer

Alec Vaezi, Chelsea H Feldman, Laura J Niedernhofer
Pharmacogenomics and Personalized Medicine 2011:4 47–63
http://dx.doi.org/10.2147/PGPM.S20317

Advanced stage non-small cell lung cancer and head and neck squamous cell carcinoma are both treated with DNA damaging agents including platinum-based compounds and radiation therapy. However, at least one quarter of all tumors are resistant or refractory to these genotoxic agents. Yet the agents are extremely toxic, leading to undesirable side effects with potentially no benefit. Alternative therapies exist, but currently there are no tools to predict whether the first-line genotoxic agents will work in any given patient. To maximize therapeutic success and limit unnecessary toxicity, emerging clinical trials aim to inform personalized treatments tailored to the biology of individual tumors. Worldwide, significant resources have been invested in identifying biomarkers for guiding the treatment of lung and head and neck cancer. DNA repair proteins of the nucleotide excision repair pathway (ERCC1) and of the base excision repair pathway (XRCC1), which are instrumental in clearing DNA damage caused by platinum drugs and radiation, have been extensively studied as potential biomarkers of clinical outcomes in lung and head and neck cancers. The results are complex and contradictory. Here we summarize the current status of single nucleotide polymorphisms, mRNA, and protein expression of ERCC1 and XRCC1 in relation
to cancer risk and patient outcomes.

Optimizing response to gefitinib in the treatment of non-small-cell lung cancer

Pietro Carotenuto, Cristin Roma, Anna Maria Rachiglio, Raffaella Pasquale, et al.
Pharmacogenomics and Personalized Medicine 2011:4 1–9
http://dx.doi.org:/10.2147/PGPM.S6626

The epidermal growth factor receptor (EGFR) is expressed in the majority of non-small-cell lung cancer (NSCLC). However, only a restricted subgroup of NSCLC patients respond to treatment with the EGFR tyrosine kinase inhibitor (EGFR TKI) gefitinib. Clinical trials have demonstrated that patients carrying activating mutations of the EGFR significantly benefit from treatment with gefitinib. In particular, mutations of the EGFR TK domain have been shown to increase the sensitivity of the EGFR to exogenous growth factors and, at the same time, to EGFR TKIs such as gefitinib. EGFR mutations are more frequent in patients with particular clinical and pathological features such as female sex, nonsmoker status, adenocarcinoma histology, and East Asian ethnicity. A close correlation was found between EGFR mutations and response to gefitinib in NSCLC patients. More importantly, randomized Phase III studies have shown the superiority of gefitinib compared with chemotherapy in EGFR mutant patients in the first-line setting. In addition, gefitinib showed a good toxicity profile with an incidence of adverse events that was significantly lower compared with chemotherapy. Therefore, gefitinib is a major breakthrough for the management of EGFR mutant NSCLC patients and represents the first step toward personalized treatment of NSCLC.

Pharmacogenomics of drug metabolizing enzymes and transporters: implications for cancer therapy

Jing Li, Martin H Bluth
Pharmacogenomics and Personalized Medicine 2011:4 11–33
http://dx.doi.org:/10.2147/PGPM.S18861

The new era of personalized medicine, which integrates the uniqueness of an Individual with respect to the pharmacokinetics and pharmacodynamics of a drug, holds promise as a means to provide greater safety and efficacy in drug design and development. Personalized medicine is particularly important in oncology, whereby most clinically used anticancer drugs have a narrow therapeutic window and exhibit a large interindividual pharmacokinetic and pharmacodynamics variability. This variability can be explained, at least in part, by genetic variations in the genes encoding drug metabolizing enzymes, transporters, or drug targets. Understanding of how genetic variations influence drug disposition and action could help in tailoring cancer therapy based on individual’s genetic makeup. This review focuses on the pharmacogenomics of drug metabolizing enzymes and drug transporters, with a particular highlight of examples whereby genetic variations in the metabolizing enzymes and transporters influence the pharmacokinetics and/or response of chemotherapeutic agents.

Transcriptome-wide signatures of tumor stage in kidney renal clear cell carcinoma: connecting copy number variation, methylation and transcription factor activity
Qi Liu, Pei-Fang Su, Shilin Zhao and Yu Shyr
Genome Medicine 2014, 6:117 http://genomemedicine.com/content/6/12/117

Background: Comparative analysis of expression profiles between early and late stage cancers can help to understand cancer progression and metastasis mechanisms and to predict the clinical aggressiveness of cancer. The observed stage-dependent expression changes can be explained by genetic and epigenetic alterations as well as transcription dysregulation. Unlike genetic and epigenetic alterations, however, activity changes of transcription factors, generally occurring at the post-transcriptional or post-translational level, are hard to detect and quantify.
Methods: Here we developed a statistical framework to infer the activity changes of transcription factors by simultaneously taking into account the contributions of genetic and epigenetic alterations to mRNA expression variations.
Results: Applied to kidney renal clear cell carcinoma (KIRC), the model underscored the role of methylation as a significant contributor to stage-dependent expression alterations and identified key transcription factors as potential drivers of cancer progression.
Conclusions: Integrating copy number, methylation, and transcription factor activity signatures to explain stage-dependent expression alterations presented a precise and comprehensive view on the underlying mechanisms during KIRC progression.

Developments in renal pharmacogenomics and applications in chronic kidney disease

Ariadna Padullés, Inés Rama, Inés Llaudó, Núria Lloberas
Pharmacogenomics and Personalized Medicine 2014:7 251–266
http://dx.doi.org/10.2147/PGPM.S52763

Chronic kidney disease (CKD) has shown an increasing prevalence in the last century. CKD encompasses a poor prognosis related to a remarkable number of comorbidities, and many patients suffer from this disease progression. Once the factors linked with CKD evolution are distinguished, it will be possible to provide and enhance a more intensive treatment to high-risk patients. In this review, we focus on the emerging markers that might be predictive or related to CKD progression physiopathology as well as those related to a different pattern of response to treatment, such as inhibitors of the renin–angiotensin system (including angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers; the vitamin D receptor agonist; salt sensitivity hypertension; and progressive kidney-disease markers with identified genetic polymorphisms). Candidate-gene association studies and genome-wide association studies have analyzed the genetic basis for common renal diseases, including CKD and related factors such as diabetes and hypertension. This review will, in brief, consider genotype-based pharmacotherapy, risk prediction, drug target recognition, and personalized treatments, and will mainly focus on findings in CKD patients. An improved understanding will smooth the progress of switching from classical clinical medicine to gene-based medicine.

 

 

 

 

 

 

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The Union of Biomarkers and Drug Development

The Union of Biomarkers and Drug Development

Author and Curator: Larry H. Bernstein, MD, FCAP

There has been consolidation going on for over a decade in both thr pharmaceutical and in the diagnostics industry, and at the same time the page is being rewritten for health care delivery.  I shall try to work through a clear picture of these not coincidental events.

Key notables:

  1. A growing segment of the US population is reaching Medicare age
  2. There is also a large underserved population in both metropolitan and nonurban areas and a fragmentation of the middle class after a growth slowdown in the economy since the 2008 deep recession.
  3. The deep recession affecting worldwide economies was only buffered by availability of oil or natural gas.
  4. In addition, there was a self-destructive strategy to cut spending on national scales that withdrew the support that would bolster support for infrastrucrue renewl.
  5. There has been a dramatic success in the clinical diagnostics industry, with a long history of being viewed as a loss leader, and this has been recently followed by the pharmaceutical industry faced with inability to introduce new products, leading to more competition in off-patent medications.
  6. The introduction of the Accountable Care Act has opened the opportunities for improved care, despite political opposition, and has probably sustained opportunity in the healthcare market.

Let’s take a look at this three headed serpent. – Pharma, Diagnostics, New Entity
?  The patient  ?
?  Insurance    ?
?  Physician    ?

Part I.   The Concept

When Illumina Buys Roche: The Dawning Of The Era Of Diagnostics Dominance

Robert J. Easton, Alain J. Gilbert, Olivier Lesueur, Rachel Laing, and Mark Ratner
http://PharmaMedtechBI.com    | IN VIVO: The Business & Medicine Report Jul/Aug 2014; 32(7).

  • With current technology and resources, a well-funded IVD company can create and pursue a strategy of information gathering and informatics application to create medical knowledge, enabling it to assume the risk and manage certain segments of patients
  • We see the first step in the process as the emergence of new specialty therapy companies coming from an IVD legacy, most likely focused in cancer, infection, or critical care

When Illumina Inc. acquired the regulatory consulting firm Myraqa, a specialist in in vitro diagnostics (IVD), in July, the press release announcement characterized the deal as one that would bolster illumina’s in-house capabilities for clinical readiness and help prepare for its next growth phase in regulated markets. That’s not surprising given the US Food and Drug Administration’s (FDA) approval a year and a half ago of its MiSeq next-generation sequencer for clinical use. But the deal could also suggest illumina is beginning to move along the path toward taking on clinical risk – that is, eventually

  • advising physicians and patients, which would mean facing regulators directly

Such a move – by illumina, another life sciences tools firm, or an information specialist from the high-tech universe – is inevitable given

  • the emerging power of diagnostics and traditional health care players’ reluctance to themselves take on such risk.

Alternatively, we believe that a well-funded diagnostics company could establish this position. either way, such a champion would establish dominion over and earn higher valuation than less-aggressive players who

  • only supply compartmentalized drug and device solutions.

Diagnostics companies have long been dogged by a fundamental issue:

  1. they are viewed and valued more along the lines of a commodity business than as firms that deliver a unique product or service
  2. diagnostics companies are in position to do just that today because they are now advantaged by having access to more data points.
  3. if they were to cobble together the right capabilities, diagnostics companies would have the ability to turn information into true medical knowledge

Example: PathGEN PathChip

nucleic-acid-based platform detects 296 viruses, bacteria, fungi & parasites

http://ow.ly/d/2GvQhttp://ow.ly/DSORV

This puts the diagnostics player in an unfamiliar realm where it can ask the question of what value they offer compared with a therapeutic. The key is that diagnostics can now offer unique information and potentially unique tools to capture that information. In order to do so, it has to create information from the data it generates, and then to supply that knowledge to users who will value and act on that knowledge. Complex genomic tests, as much as physical examination, may be the first meaningful touch point for physicians’ classification of disease.

Even if lab tests are more expensive, it is a cheaper means for deciding what to do first for a patient than the trial and error of prescribing medication without adequate information. Information is gaining in value as the amount of treatment data available on genomically characterizable subpopulations increases. In such a circumstance
it is the ability to perform that advisory function that will add tremendous value above what any test provides, the leverage of being able to apply a proprietary diagnostics platform – and importantly, the data it generates. It is the ability to perform that advisory function that will add tremendous value above what any test provides.

Integrated Diagnostics Inc. and Biodesix Inc. with mass spectrometry has the tools for unraveling disease processes, and numerous players are quite visibly in or are getting into the business of providing medical knowledge and clinical decision support in pursuit of a huge payout for those who actually solve important disease mysteries. Of course one has to ask whether MS/MS is sufficient for the assigned task, and also whether the technology is ready for the kind of workload experienced in a clinical service compared to a research vehicle.  My impression (as a reviewer) is that it is not now the time to take this seriously.

Roche has not realized its intent with Ventana: failing to deliver on the promise of boosting Roche’s pipeline, which was a significant factor in the high price Roche paid. The combined company was to be “uniquely positioned to further expand Ventana’s business globally and together develop more cost-efficient, differentiated, and targeted medicines.  On the other hand,  Biodesix decided to use Veristrat to look back and analyze important trial data to try to ascertain which patients would benefit from ficlatuzumab (subset). The predictive effect for the otherwise unimpressive trial results was observed in both progression-free survival and overall survival endpoints, and encouraged the companies to conduct a proof-of-concept study of ficlatuzumab in combination with Tarceva in advanced Non Small Cell Lung Cancer Patients (NSCLC) selected using the Veristrat test.

A second phase of IVD evolution will be far more challenging to pharma, when the most accomplished companies begin to assemble and integrate much broader data
sets, thereby gaining knowledge sufficient to actually manage patients and dictate therapy, including drug selection. No individual physician has or will have access to all of this information on thousands of patients, combined with the informatics to tease out from trillions of data points the optimal personalized medical approach. When the IVD-origin knowledge integrator amasses enough data and understanding to guide therapy decisions in large categories, particularly drug choices, it will become more valuable than any of the drug suppliers.

This is an apparent reversal of fortune. The pharmaceutical industry has been considered the valued provider, while the IVD manufacturer has been the low valued cousin. Now, it is by an ability to make kore accurate the drug administration that the IVD company can control the drug bill, to the detriment of drug developers, by finding algorithms that generate equal-to-innovative-drug outcomes using generics for most of the patients, thereby limiting the margins of drug suppliers and the upsides for new drug discovery/development.

It is here that there appears to be a misunderstanding of the whole picture of the development of the healthcare industry.  The pharmaceutical industry had a high value added only insofar it could replace market leaders for treatment before or at the time of patent expiration, which largely depended either introducing a new class of drug, or by relieving the current drug in its class of undesired toxicities or “side effects”.  Otherwise, the drug armamentarium was time limited to the expiration date. In other words, the value was dependent on a window of no competition.  In addition, as the regulation of healthcare costs were tightening under managed care, the introduction of new products that were deemed to be only marginally better, could be substitued by “off-patent” drug products.

The other misunderstanding is related to the IVD sector.  Laboratory tests in the 1950’s were manual, and they could be done by “technicians” who might not have completed a specialized training in clinical laboratory sciences.  The first sign of progress was the introduction of continuous flow chemistry, with a sampling probe, tubing to bring the reacting reagents into a photocell, and the timing of the reaction controlled by a coiled glass tubing before introducing the colored product into a uv-visible photometer.  In perhaps a decade, the Technicon SMA 12 and 6 instruments were introduced that could do up to 18 tests from a single sample.

Part 2. Emergence of an IVD Clinical Automated Diagnostics Industry

Why tests are ordered

  1. Screening
  2. Diagnosis
  3. Monitoring

Historical Perspective

Case in Point 1:  Outstanding Contributions in Clinical Chemistry. 1991. Arthur Karmen.

Dr. Karmen was born in New York City in 1930. He graduated from the Bronx High School of Science in 1946 and earned an A.B. and M.D. in 1950 and 1954, respectively, from New York University. In 1952, while a medical student working on a summer project at Memorial-Sloan Kettering, he used paper chromatography of amino acids to demonstrate the presence of glutamic-oxaloacetic and glutaniic-pyruvic ransaminases (aspartate and alanine aminotransferases) in serum and blood. In 1954, he devised the spectrophotometric method for measuring aspartate aminotransferase in serum, which, with minor modifications, is still used for diagnostic testing today. When developing this assay, he studied the reaction of NADH with serum and demonstrated the presence of lactate and malate dehydrogenases, both of which were also later used in diagnosis. Using the spectrophotometric method, he found that aspartate aminotransferase increased in the period immediately after an acute myocardial infarction and did the pilot studies that showed its diagnostic utility in heart and liver diseases.  This became as important as the EKG. It was replaced in cardiology usage by the MB isoenzyme of creatine kinase, which was driven by Burton Sobel’s work on infarct size, and later by the troponins.

Case in point 2: Arterial Blood Gases.  Van Slyke. National Academy of Sciences.

The test is used to determine the pH of the blood, the partial pressure of carbon dioxide and oxygen, and the bicarbonate level. Many blood gas analyzers will also report concentrations of lactate, hemoglobin, several electrolytes, oxyhemoglobin, carboxyhemoglobin and methemoglobin. ABG testing is mainly used in pulmonology and critical care medicine to determine gas exchange which reflect gas exchange across the alveolar-capillary membrane.

DONALD DEXTER VAN SLYKE died on May 4, 1971, after a long and productive career that spanned three generations of biochemists and physicians. He left behind not only a bibliography of 317 journal publications and 5 books, but also more than 100 persons who had worked with him and distinguished themselves in biochemistry and academic medicine. His doctoral thesis, with Gomberg at University of Michigan was published in the Journal of the American Chemical Society in 1907.  Van Slyke received an invitation from Dr. Simon Flexner, Director of the Rockefeller Institute, to come to New York for an interview. In 1911 he spent a year in Berlin with Emil Fischer, who was then the leading chemist of the scientific world. He was particularly impressed by Fischer’s performing all laboratory operations quantitatively —a procedure Van followed throughout his life. Prior to going to Berlin, he published the  classic nitrous acid method for the quantitative determination of primary aliphatic amino groups,  the first of the many gasometric procedures devised by Van Slyke, and made possible the determination of amino acids. It was the primary method used to study amino acid

composition of proteins for years before chromatography. Thus, his first seven postdoctoral years were centered around the development of better methodology for protein composition and amino acid metabolism.

With his colleague G. M. Meyer, he first demonstrated that amino acids, liberated during digestion in the intestine, are absorbed into the bloodstream, that they are removed by the tissues, and that the liver alone possesses the ability to convert the amino acid nitrogen into urea.  From the study of the kinetics of urease action, Van Slyke and Cullen developed equations that depended upon two reactions: (1) the combination of enzyme and substrate in stoichiometric proportions and (2) the reaction of the combination into the end products. Published in 1914, this formulation, involving two velocity constants, was similar to that arrived at contemporaneously by Michaelis and Menten in Germany in 1913.

He transferred to the Rockefeller Institute’s Hospital in 2013, under Dr. Rufus Cole, where “Men who were studying disease clinically had the right to go as deeply into its fundamental nature as their training allowed, and in the Rockefeller Institute’s Hospital every man who was caring for patients should also be engaged in more fundamental study”.  The study of diabetes was already under way by Dr. F. M. Allen, but patients inevitably died of acidosis.  Van Slyke reasoned that if incomplete oxidation of fatty acids in the body led to the accumulation of acetoacetic and beta-hydroxybutyric acids in the blood, then a reaction would result between these acids and the bicarbonate ions that would lead to a lower than-normal bicarbonate concentration in blood plasma. The problem thus became one of devising an analytical method that would permit the quantitative determination of bicarbonate concentration in small amounts of blood plasma.  He ingeniously devised a volumetric glass apparatus that was easy to use and required less than ten minutes for the determination of the total carbon dioxide in one cubic centimeter of plasma.  It also was soon found to be an excellent apparatus by which to determine blood oxygen concentrations, thus leading to measurements of the percentage saturation of blood hemoglobin with oxygen. This found extensive application in the study of respiratory diseases, such as pneumonia and tuberculosis. It also led to the quantitative study of cyanosis and a monograph on the subject by C. Lundsgaard and Van Slyke.

In all, Van Slyke and his colleagues published twenty-one papers under the general title “Studies of Acidosis,” beginning in 1917 and ending in 1934. They included not only chemical manifestations of acidosis, but Van Slyke, in No. 17 of the series (1921), elaborated and expanded the subject to describe in chemical terms the normal and abnormal variations in the acid-base balance of the blood. This was a landmark in understanding acid-base balance pathology.  Within seven years after Van moved to the Hospital, he had published a total of fifty-three papers, thirty-three of them coauthored with clinical colleagues.

In 1920, Van Slyke and his colleagues undertook a comprehensive investigation of gas and electrolyte equilibria in blood. McLean and Henderson at Harvard had made preliminary studies of blood as a physico-chemical system, but realized that Van Slyke and his colleagues at the Rockefeller Hospital had superior techniques and the facilities necessary for such an undertaking. A collaboration thereupon began between the two laboratories, which resulted in rapid progress toward an exact physico-chemical description of the role of hemoglobin in the transport of oxygen and carbon dioxide, of the distribution of diffusible ions and water between erythrocytes and plasma,
and of factors such as degree of oxygenation of hemoglobin and hydrogen ion concentration that modified these distributions. In this Van Slyke revised his volumetric gas analysis apparatus into a manometric method.  The manometric apparatus proved to give results that were from five to ten times more accurate.

A series of papers on the CO2 titration curves of oxy- and deoxyhemoglobin, of oxygenated and reduced whole blood, and of blood subjected to different degrees of oxygenation and on the distribution of diffusible ions in blood resulted.  These developed equations that predicted the change in distribution of water and diffusible ions between blood plasma and blood cells when there was a change in pH of the oxygenated blood. A significant contribution of Van Slyke and his colleagues was the application of the Gibbs-Donnan Law to the blood—regarded as a two-phase system, in which one phase (the erythrocytes) contained a high concentration of nondiffusible negative ions, i.e., those associated with hemoglobin, and cations, which were not freely exchaThe importance of Vanngeable between cells and plasma. By changing the pH through varying the CO2 tension, the concentration of negative hemoglobin charges changed in a predictable amount. This, in turn, changed the distribution of diffusible anions such as Cl” and HCO3″ in order to restore the Gibbs-Donnan equilibrium. Redistribution of water occurred to restore osmotic equilibrium. The experimental results confirmed the predictions of the equations.

As a spin-off from the physico-chemical study of the blood, Van undertook, in 1922, to put the concept of buffer value of weak electrolytes on a mathematically exact basis.
This proved to be useful in determining buffer values of mixed, polyvalent, and amphoteric electrolytes, and put the understanding of buffering on a quantitative basis. A
monograph in Medicine entitled “Observation on the Courses of Different Types of Bright’s Disease, and on the Resultant Changes in Renal Anatomy,” was a landmark that
related the changes occurring at different stages of renal deterioration to the quantitative changes taking place in kidney function. During this period, Van Slyke and R. M. Archibald identified glutamine as the source of urinary ammonia. During World War II, Van and his colleagues documented the effect of shock on renal function and, with R. A. Phillips, developed a simple method, based on specific gravity, suitable for use in the field.

Over 100 of Van’s 300 publications were devoted to methodology. The importance of Van Slyke’s contribution to clinical chemical methodology cannot be overestimated.
These included the blood organic constituents (carbohydrates, fats, proteins, amino acids, urea, nonprotein nitrogen, and phospholipids) and the inorganic constituents (total cations, calcium, chlorides, phosphate, and the gases carbon dioxide, carbon monoxide, and nitrogen). It was said that a Van Slyke manometric apparatus was almost all the special equipment needed to perform most of the clinical chemical analyses customarily performed prior to the introduction of photocolorimeters and spectrophotometers for such determinations.

The progress made in the medical sciences in genetics, immunology, endocrinology, and antibiotics during the second half of the twentieth century obscures at times the progress that was made in basic and necessary biochemical knowledge during the first half. Methods capable of giving accurate quantitative chemical information on biological material had to be painstakingly devised; basic questions on chemical behavior and metabolism had to be answered; and, finally, those factors that adversely modified the normal chemical reactions in the body so that abnormal conditions arise that we characterize as disease states had to be identified.

Viewed in retrospect, he combined in one scientific lifetime (1) basic contributions to the chemistry of body constituents and their chemical behavior in the body, (2) a chemical understanding of physiological functions of certain organ systems (notably the respiratory and renal), and (3) how such information could be exploited in the
understanding and treatment of disease. That outstanding additions to knowledge in all three categories were possible was in large measure due to his sound and broadly based chemical preparation, his ingenuity in devising means of accurate measurements of chemical constituents, and the opportunity given him at the Hospital of the Rockefeller Institute to study disease in company with physicians.

In addition, he found time to work collaboratively with Dr. John P. Peters of Yale on the classic, two-volume Quantitative Clinical Chemistry. In 1922, John P. Peters, who had just gone to Yale from Van Slyke’s laboratory as an Associate Professor of Medicine, was asked by a publisher to write a modest handbook for clinicians describing useful chemical methods and discussing their application to clinical problems. It was originally to be called “Quantitative Chemistry in Clinical Medicine.” He soon found that it was going to be a bigger job than he could handle alone and asked Van Slyke to join him in writing it. Van agreed, and the two men proceeded to draw up an outline and divide up the writing of the first drafts of the chapters between them. They also agreed to exchange each chapter until it met the satisfaction of both.At the time it was published in 1931, it contained practically all that could be stated with confidence about those aspects of disease that could be and had been studied by chemical means. It was widely accepted throughout the medical world as the “Bible” of quantitative clinical chemistry, and to this day some of the chapters have not become outdated.

History of Laboratory Medicine at Yale University.

The roots of the Department of Laboratory Medicine at Yale can be traced back to John Peters, the head of what he called the “Chemical Division” of the Department of Internal Medicine, subsequently known as the Section of Metabolism, who co-authored with Donald Van Slyke the landmark 1931 textbook Quantitative Clinical Chemistry (2.3); and to Pauline Hald, research collaborator of Dr. Peters who subsequently served as Director of Clinical Chemistry at Yale-New Haven Hospital for many years. In 1947, Miss Hald reported the very first flame photometric measurements of sodium and potassium in serum (4). This study helped to lay the foundation for modern studies of metabolism and their application to clinical care.

The Laboratory Medicine program at Yale had its inception in 1958 as a section of Internal Medicine under the leadership of David Seligson. In 1965, Laboratory Medicine achieved autonomous section status and in 1971, became a full-fledged academic department. Dr. Seligson, who served as the first Chair, pioneered modern automation and computerized data processing in the clinical laboratory. In particular, he demonstrated the feasibility of discrete sample handling for automation that is now the basis of virtually all automated chemistry analyzers. In addition, Seligson and Zetner demonstrated the first clinical use of atomic absorption spectrophotometry. He was one of the founding members of the major Laboratory Medicine academic society, the Academy of Clinical Laboratory Physicians and Scientists.

Davenport fig 10.jpg

Case in Point 3.  Nathan Gochman.  Developer of Automated Chemistries.

Nathan Gochman, PhD, has over 40 years of experience in the clinical diagnostics industry. This includes academic teaching and research, and 30 years in the pharmaceutical and in vitro diagnostics industry. He has managed R & D, technical marketing and technical support departments. As a leader in the industry he was President of the American Association for Clinical Chemistry (AACC) and the National Committee for Clinical Laboratory Standards (NCCLS, now CLSI). He is currently a Consultant to investment firms and IVD companies.

Nathan Gochman

Nathan Gochman

The clinical laboratory has become so productive, particularly in chemistry and immunology, and the labor, instrument and reagent costs are well determined, that today a physician’s medical decisions are 80% determined by the clinical laboratory.  Medical information systems have lagged far behind.  Why is that?  Because the decision for a MIS has historical been based on billing capture.  Moreover, the historical use of chemical profiles were quite good at validating healthy dtatus in an outpatient population, but the profiles became restricted under Diagnostic Related Groups.    Thus, it came to be that the diagnostics was considered a “commodity”.  In order to be competitive, a laboratory had to provide “high complexity” tests that were drawn in by a large volume of “moderate complexity”tests.

Part 3. Biomarkers in Medical Practice

Case in Point 1.

A Solid Prognostic Biomarker

HDL-C: Target of Therapy or Fuggedaboutit?

Steven E. Nissen, MD, MACC, Peter Libby, MD

DisclosuresNovember 06, 2014

Steven E. Nissen, MD, MACC: I am Steve Nissen, chairman of the Department of Cardiovascular Medicine at the Cleveland Clinic. I am here with Dr Peter Libby, chief of cardiology at the Brigham and Women’s Hospital and professor of medicine at Harvard Medical School. We are going to discuss high-density lipoprotein cholesterol (HDL-C), a topic that has been very controversial recently. Peter, HDL-C has been a pretty good biomarker. The question is whether it is a good target.

Peter Libby, MD: Since the early days in Berkley, when they were doing ultracentrifugation, and when it was reinforced and put on the map by the Framingham Study,[1] we have known that HDL-C is an extremely good biomarker of prospective cardiovascular risk with an inverse relationship with all kinds of cardiovascular events. That is as solid a finding as you can get in observational epidemiology. It is a very reliable prospective marker. It’s natural that the pharmaceutical industry and those of us who are interested in risk reduction would focus on HDL-C as a target. That is where the controversies come in.

Dr Nissen: It has been difficult. My view is that the trials that have attempted to modulate HDL-C or the drugs they used have been flawed. Although the results have not been promising, the jury is yet out. Torcetrapib, the cholesteryl ester transfer protein (CETP) inhibitor developed by Pfizer, had anoff-target toxicity.[2] Niacin is not very effective, and there are a lot of downsides to the drug. That has been an issue, but people are still working on this. We have done some studies. We did our ApoA-1 Milano infusion study[3]about a decade ago, which showed very promising results with respect to shrinking plaques in coronary arteries. I remain open to the possibility that the right drug in the right trial will work.

Dr Libby: What do you do with the genetic data that have come out in the past couple of years? Sekar Kathiresan masterminded and organized an enormous collaboration[4] in which they looked, with contemporary genetics, at whether HDL had the genetic markers of being a causal risk factor. They came up empty-handed.

Dr Nissen: I am cautious about interpreting those data, like I am cautious about interpreting animal studies of atherosclerosis. We have both lived through this problem in which something works extremely well in animals but doesn’t work in humans, or it doesn’t work in animals but it works in humans. The genetic studies don’t seal the fate of HDL. I have an open mind about this. Drugs are complex. They work by complex mechanisms. It is my belief that what we have to do is test these hypotheses in well-designed clinical trials, which are rigorously performed with drugs that are clean—unlike torcetrapib—and don’t have off-target toxicities.

An Unmet Need: High Lp(a) Levels

Dr Nissen: I’m going to push back on that and make a couple of points. The HPS2-THRIVE study was flawed. They studied the wrong people. It was not a good study, and AIM-HIGH[8] was underpowered. I am not putting people on niacin. What do you do with a patient whose Lp(a) is 200 mg/dL?

Dr Libby: I’m waiting for the results of the PCSK9 and anacetrapib studies. You can tell me about evacetrapib.[9]Reducing Lp(a) is an unmet medical need. We both care for kindreds with high Lp(a) levels and premature coronary artery disease. We have no idea what to do with them other than to treat them with statins and lower their LDL-C levels.

Dr Nissen: I have taken a more cautious approach with respect to taking people off of niacin. If I have patients who are doing well and tolerating it (depending on why it was started), I am discontinuing niacin in some people. I am starting very few people on the drug, but I worry about the quality of the trial.

Dr Libby: So you are of the “don’t start don’t stop” school?

Dr Nissen: Yes. It’s difficult when the trial is fatally flawed. There were 11,000 patients from China in this study. I have known for years that if you give niacin to people of Asiatic ethnic descent, they have terrible flushing and they won’t continue the drug. One question is, what was the adherence? The adverse events would have been tolerable had there been efficacy. The concern here is that this study was destined to fail because they studied a low LDL/high HDL population, a group of people for whom niacin just isn’t used.

Triglycerides and HDL: Do We Have It Backwards?

Dr Libby: What about the recent genetic[10] and epidemiologic data that support triglycerides, and apolipoprotein C3 in particular as a causal risk factor? Have we been misled through all of the generations in whom we have been adjusting triglycerides for HDL-C and saying that triglycerides are not a causal risk factor because once we adjust for HDL, the risk goes away? Do you think we got it backwards?

Dr Nissen: The tricky factor here is that because of this intimate inverse relationship between triglycerides and HDL, we may be talking about the same phenomenon. That is one of the reasons that I am not certain we are not going to be able to find a therapy. What if you had a therapy that lowered triglycerides and raised HDL-C? Could that work? Could that combination be favorable? I want answers from rigorous, well-designed clinical trials that ask the right questions in the right populations. I am disappointed, just as I have been disappointed by the fibrate trials.[11,12] There is a class of drugs that raises HDL-C a little and lowers triglycerides a lot.

Dr Nissen: But the gemfibrozil studies (VA-HIT[13] and Helsinki Heart[14]) showed benefit.

The Dyslipidemia Bar Has Been Raised

Dr Libby: Those studies were from the pre-statin era. We both were involved in trials in which patients were on high-dose statins at baseline. Do you think that this is too high a bar?

Dr Nissen: The bar has been raised, and for the pharmaceutical industry, the studies that we need to find out whether lowering triglycerides or raising HDL is beneficial are going to be large. We are doing a study with evacetrapib. It has 12,000 patients. It’s fully enrolled. Evacetrapib is a very clean-looking drug. It doesn’t have such a long biological half-life as anacetrapib, so I am very encouraged that it won’t have that baggage of being around for 2-4 years. We’ve got a couple of shots on goal here. Don’t forget that we have multiple ongoing studies of HDL-C infusion therapies that are still under development. Those have some promise too. The jury is still out.

Dr Libby: We agree on the need to do rigorous, large-scale endpoint trials. Do the biomarker studies, but don’t wait to start the endpoint trial because that’s the proof in the pudding.

Dr Nissen: Exactly. We have had a little controversy about HDL-C. We often agree, but not always, and we may have a different perspective. Thanks for joining me in this interesting discussion of what will continue to be a controversial topic for the next several years until we get the results of the current ongoing trials.

Case in Point 2.

NSTEMI? Honesty in Coding and Communication?

Melissa Walton-Shirley

November 07, 2014

The complaint at ER triage: Weakness, fatigue, near syncope of several days’ duration, vomiting, and decreased sensorium.

The findings: O2sat: 88% on room air. BP: 88 systolic. Telemetry: Sinus tachycardia 120 bpm. Blood sugar: 500 mg/dL. Chest X ray: atelectasis. Urinalysis: pyuria. ECG: T-wave-inversion anterior leads. Echocardiography: normal left ventricular ejection fraction (LVEF) and wall motion. Troponin I: 0.3 ng/mL. CT angiography: negative for pulmonary embolism (PE). White blood cell count: 20K with left shift. Blood cultures: positive for Gram-negative rods.

The treatment: Intravenous fluids and IV levofloxacin—changed to ciprofloxacin.

The communication at discharge: “You had a severe urinary-tract infection and grew bacteria in your bloodstream. Also, you’ve had a slight heart attack. See your cardiologist immediately upon discharge-no more than 5 days from now.”

The diagnoses coded at discharge: Urosepsis and non-ST segment elevation MI (NSTEMI) 410.1.

One year earlier: This moderately obese patient was referred to our practice for a preoperative risk assessment. The surgery planned was a technically simple procedure, but due to the need for precise instrumentation, general endotracheal anesthesia (GETA) was being considered. The patient was diabetic, overweight, and short of air. A stress exam was equivocal for CAD due to poor exercise tolerance and suboptimal imaging. Upon further discussion, symptoms were progressive; therefore, cardiac cath was recommended, revealing angiographically normal coronaries and a predictably elevated left ventricular end diastolic pressure (LVEDP) in the mid-20s range. The patient was given a diagnosis of diastolic dysfunction, a prescription for better hypertension control, and in-depth discussion on exercise and the Mediterranean and DASH diets for weight loss. Symptoms improved with a low dose of diuretic. The surgery was completed without difficulty. Upon follow-up visit, the patient felt well, had lost a few pounds, and blood pressure was well controlled.

Five days after ER workup: While out of town, the patient developed profound weakness and went to the ER as described above. Fast forward to our office visit in the designated time frame of “no longer than 5 days’ postdischarge,” where the patient and family asked me about the “slight heart attack” that literally came on the heels of a normal coronary angiogram.

But the patient really didn’t have a “heart attack,” did they? The cardiologist aptly stated that it was likely nonspecific troponin I leak in his progress notes. Yet the hospitalist framed the diagnosis of NSTEMI as item number 2 in the final diagnoses.

The motivations on behalf of personnel who code charts are largely innocent and likely a direct result of the lack of understanding of the coding system on behalf of us as healthcare providers. I have a feeling, though, that hospitals aren’t anxious to correct this misperception, due to an opportunity for increased reimbursement. I contacted a director of a coding department for a large hospital who prefers to remain anonymous. She explained that NSTEMI ICD9 code 410.1 falls in DRG 282 with a weight of .7562. The diagnosis of “demand ischemia,” code 411.89, a slightly less inappropriate code for a nonspecific troponin I leak, falls in DRG 311 with a weight of .5662. To determine reimbursement, one must multiply the weight by the average hospital Medicare base rate of $5370. Keep in mind that each hospital’s base rate and corresponding payment will vary. The difference in reimbursement for a large hospital bill between these two choices for coding is substantial, at over $1000 difference ($4060 vs $3040).

Although hospitals that are already reeling from shrinking revenues will make more money on the front end by coding the troponin leak incorrectly as an NSTEMI, when multiple unnecessary tests are generated to follow up on a nondiagnostic troponin leak, the amount of available Centers for Medicare & Medicaid Services (CMS) reimbursement pie shrinks in the long run. Furthermore, this inappropriate categorization generates extreme concern on behalf of patients and family members that is often never laid to rest. The emotional toll of a “heart-attack” diagnosis has an impact on work fitness, quality of life, cost of medication, and the cost of future testing. If the patient lived for another 100 years, they will likely still list a “heart attack” in their medical history.

As a cardiologist, I resent the loose utilization of one of “my” heart-attack codes when it wasn’t that at all. At discharge, we need to develop a better way of communicating what exactly did happen. Equally important, we need to communicate what exactly didn’t happen as well.

Case in Point 3.

Blood Markers Predict CKD Heart Failure 

Published: Oct 3, 2014 | Updated: Oct 3, 2014

Elevated levels of high-sensitivity troponin T (hsTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) strongly predicted heart failure in patients with chronic kidney disease followed for a median of close to 6 years, researchers reported.

Compared with patients with the lowest blood levels of hsTnT, those with the highest had a nearly five-fold higher risk for developing heart failure and the risk was 10-fold higher in patients with the highest NT-proBNP levels compared with those with the lowest levels of the protein, researcher Nisha Bansal, MD, of the University of Washington in Seattle, and colleagues wrote online in the Journal of the American Society of Nephrology.

A separate study, published online in theJournal of the American Medical Association earlier in the week, also examined the comorbid conditions of heart and kidney disease, finding no benefit to the practice of treating cardiac surgery patients who developed acute kidney injury with infusions of the antihypertensive drug fenoldopam.

The study, reported by researcher Giovanni Landoni, MD, of the IRCCS San Raffaele Scientific Institute, Milan, Italy, and colleagues, was stopped early “for futility,” according to the authors, and the incidence of hypotension during drug infusion was significantly higher in patients infused with fenoldopam than placebo (26% vs. 15%; P=0.001).

Blood Markers Predict CKD Heart Failure

The study in patients with mild to moderate chronic kidney disease (CKD) was conducted to determine if blood markers could help identify patients at high risk for developing heart failure.

Heart failure is the most common cardiovascular complication among people with renal disease, occurring in about a quarter of CKD patients.

The two markers, hsTnT and NT-proBNP, are associated with overworked cardiac myocytes and have been shown to predict heart failure in the general population.

However, Bansal and colleagues noted, the markers have not been widely used in diagnosing heart failure among patients with CKD due to concerns that reduced renal excretion may raise levels of these markers, and therefore do not reflect an actual increase in heart muscle strain.

To better understand the importance of elevated concentrations of hsTnT and NT-proBNP in CKD patients, the researchers examined their association with incident heart failure events in 3,483 participants in the ongoing observational Chronic Renal Insufficiency Cohort (CRIC) study.

All participants were recruited from June 2003 to August 2008, and all were free of heart failure at baseline. The researchers used Cox regression to examine the association of baseline levels of hsTnT and NT-proBNP with incident heart failure after adjustment for demographic influences, traditional cardiovascular risk factors, makers of kidney disease, pertinent medication use, and mineral metabolism markers.

At baseline, hsTnT levels ranged from ≤5.0 to 378.7 pg/mL and NT-proBNP levels ranged from ≤5 to 35,000 pg/mL. Compared with patients who had undetectable hsTnT, those in the highest quartile (>26.5 ng/mL) had a significantly higher rate of heart failure (hazard ratio 4.77; 95% CI 2.49-9.14).

Compared with those in the lowest NT-proBNP quintile (<47.6 ng/mL), patients in the highest quintile (>433.0 ng/mL) experienced an almost 10-fold increase in heart failure risk (HR 9.57; 95% CI 4.40-20.83).

The researchers noted that these associations remained robust after adjustment for potential confounders and for the other biomarker, suggesting that while hsTnT and NT-proBNP are complementary, they may be indicative of distinct biological pathways for heart failure.

Even Modest Increases in NP-proBNP Linked to Heart Failure

The findings are consistent with an earlier analysis that included 8,000 patients with albuminuria in the Prevention of REnal and Vascular ENd-stage Disease (PREVEND) study, which showed that hsTnT was associated with incident cardiovascular events, even after adjustment for eGFR and severity of albuminuria.

“Among participants in the CRIC study, those with the highest quartile of detectable hsTnT had a twofold higher odds of left ventricular hypertrophy compared with those in the lowest quartile,” Bansal and colleagues wrote, adding that the findings were similar after excluding participants with any cardiovascular disease at baseline.

Even modest elevations in NT-proBNP were associated with significantly increased rates of heart failure, including in subgroups stratified by eGFR, proteinuria, and diabetic status.

“NT-proBNP regulates blood pressure and body fluid volume by its natriuretic and diuretic actions, arterial dilation, and inhibition of the renin-aldosterone-angiotensin system and increased levels of this marker likely reflect myocardial stress induced by subclinical changes in volume or pressure, even in persons without clinical disease,” the researchers wrote.

The researchers concluded that further studies are needed to develop and validate risk prediction tools for clinical heart failure in patients with CKD, and to determine the potential role of these two biomarkers in a heart failure risk prediction and prevention strategy.

Fenoldopam ‘Widely Promoted’ in AKI Cardiac Surgery Setting

The JAMA study examined whether the selective dopamine receptor D agonist fenoldopam mesylate can reduce the need for dialysis in cardiac surgery patients who develop acute kidney injury (AKI).

Fenoldopam induces vasodilation of the renal, mesenteric, peripheral, and coronary arteries, and, unlike dopamine, it has no significant affinity for D2 receptors, meaning that it theoretically induces greater vasodilation in the renal medulla than in the cortex, the researchers wrote.

“Because of these hemodynamic effects, fenoldopam has been widely promoted for the prevention and therapy of AKI in the United States and many other countries with apparent favorable results in cardiac surgery and other settings,” Landoni and colleagues wrote.

The drug was approved in 1997 by the FDA for the indication of in-hospital, short-term management of severe hypertension. It has not been approved for renal indications, but is commonly used off-label in cardiac surgery patients who develop AKI.

Although a meta analysis of randomized trials, conducted by the researchers, indicated a reduction in the incidence and progression of AKI associated with the treatment, Landoni and colleagues wrote that the absence of a definitive trial “leaves clinicians uncertain as to whether fenoldopam should be prescribed after cardiac surgery to prevent deterioration in renal function.”

To address this uncertainty, the researchers conducted a prospective, randomized, parallel-group trial in 667 patients treated at 19 hospitals in Italy from March 2008 to April 2013.

All patients had been admitted to ICUs after cardiac surgery with early acute kidney injury (≥50% increase of serum creatinine level from baseline or low output of urine for ≥6 hours). A total of 338 received fenoldopam by continuous intravenous infusion for a total of 96 hours or until ICU discharge, while 329 patients received saline infusions.

The primary end point was the rate of renal replacement therapy, and secondary end points included mortality (intensive care unit and 30-day mortality) and the rate of hypotension during study drug infusion.

Study Showed No Benefit, Was Stopped Early

Yale Lampoon – AA Liebow.   1954

Not As a Doctor
[Fourth Year]

These lyrics, sung by John Cole, Jack Gariepy and Ed Ransenhofer to music borrowed from Gilbert and Sullivan’s The Mikado, lampooned Averill Liebow, M.D., a pathologist noted for his demands on students. (CPC stands for clinical pathology conference.)

If you want to know what this is,
it’s a medical CPC
Where we give the house staff
the biz, for there’s no one so
wise as we!
We pathologists show them how,
Although it is too late now.
Our art is a sacred cow!

American physician, born 1911, Stryj in Galicia, Austria (now in Ukraine); died 1978.

Averill Abraham Liebow, born in Austria, was the “founding father” of pulmonary pathology in the United States. He started his career as a pathologist at Yale, where he remained for many years. In 1968 he moved to the University of California School of Medicine, San Diego, where he taught for 7 years as Professor and Chairman, Department of Pathology.

His studies include many classic studies of lung diseases. Best known of these is his famous classification of interstitial lung disease. He also published papers on sclerosing pneumocytoma, pulmonary alveolar proteinosis, meningothelial-like nodules, pulmonary hypertension, pulmonary veno-occlusive disease, lymphomatoid granulomatosis, pulmonary Langerhans cell histiocytosis, pulmonary epithelioid hemangioendothelioma and pulmonary hyalinizing granuloma .

As a Lieutenant Colonel in the US Army Medical Corps, He was a member of the Atomic Bomb Casualty Commission who studied the effects of the atomic bomb in Hiroshima and Nagasaki.

We thank Sanjay Mukhopadhyay, M.D., for information submitted.

As a resident at UCSD, Dr. Liebow held “Organ Recitals” every morning, including Mother’s day.  The organs had to be presented in specified order… heart, lung, and so forth.  On one occasion, we needed a heart for purification of human lactate dehydrogenase for a medical student project, so I presented the lung out of order.  Dr. Liebow asked where the heart was, and I told the group it was noprmal and I froze it for enzyme purification (smiles).  In the future show it to me first. He was generous to those who showed interest.  As I was also doing research in Nathan Kaplan’s laboratory, he made special arrangements for me to mentor Deborah Peters, the daughter of a pulmonary physician, and granddaughter of the Peters who collaborated with Van Slyke.  I mentored many students with great reward since then.  He could look at a slide and tell you what the x-ray looked like.  I didn’t encounter that again until he sent me to the Armed Forces Institute of Pathology, Washington, DC during the Vietnam War and Watergate, and I worked in Orthopedic Pathology with Lent C. Johnson.  He would not review a case without the x-ray, and he taught the radiologists.

Part 3

My Cancer Genome from Vanderbilt University: Matching Tumor Mutations to Therapies & Clinical Trials

Reporter: Aviva Lev-Ari, PhD, RN

My Cancer Genome from Vanderbilt University: Matching Tumor Mutations to Therapies & Clinical Trials


GenomOncology and Vanderbilt-Ingram Cancer Center (VICC) today announced a partnership for the exclusive commercial development of a decision support tool based on My Cancer Genome™, an online precision cancer medicine knowledge resource for physicians, patients, caregivers and researchers.

Through this collaboration, GenomOncology and VICC will enhance My Cancer Genome through the development of a new genomics content management tool. The MyCancerGenome.org website will remain free and open to the public. In addition, GenomOncology will develop a decision support tool based on My Cancer Genome™ data that will enable automated interpretation of mutations in the genome of a patient’s tumor, providing actionable results in hours versus days.

Vanderbilt-Ingram Cancer Center (VICC) launched My Cancer Genome™ in January 2011 as an integral part of their Personalized Cancer Medicine Initiative that helps physicians and researchers track the latest developments in precision cancer medicine and connect with clinical research trials. This web-based information tool is designed to quickly educate clinicians on the rapidly expanding list of genetic mutations that impact cancers and enable the research of treatment options based on specific mutations. For more information on My Cancer Genome™visit www.mycancergenome.org/about/what-is-my-cancer-genome.

Therapies based on the specific genetic alterations that underlie a patient’s cancer not only result in better outcomes but often have less adverse reactions

Up front fee

Nominal fee covers installation support, configuring the Workbench to your specification, designing and developing custom report(s) and training your team.

Per sample fee

GenomOncology is paid on signed-out clinical reports. This philosophy aligns GenomOncology with your Laboratory as we are incentivized to offer world-class support and solutions to differentiate your clinical NGS program. There is no annual license fee.

Part 4

Clinical Trial Services: Foundation Medicine & EmergingMed to Partner

Reporter: Aviva Lev-Ari, PhD, RN

Clinical Trial Services: Foundation Medicine & EmergingMed to Partner


Foundation Medicine and EmergingMed said today that they will partner to offer clinical trial navigation services for health care providers and their patients who have received one of Foundation Medicine’s tumor genomic profiling tests.

The firms will provide concierge services to help physicians

  • identify appropriate clinical trials for patients
  • based on the results of FoundationOne or FoundationOne Heme.

“By providing clinical trial navigation services, we aim to facilitate

  • timely and accurate clinical trial information and enrollment support services for physicians and patients,
  • enabling greater access to treatment options based on the unique genomic profile of a patient’s cancer

Currently, there are over 800 candidate therapies that target genomic alterations in clinical trials,

  • but “patients and physicians must identify and act on relevant options
  • when the patient’s clinical profile is aligned with the often short enrollment window for each trial.

These investigational therapies are an opportunity to engage patients with cancer whose cancer has progressed or returned following standard treatment in a most favorable second option after relapse.  The new service is unique in notifying when new clinical trials emerge that match a patient’s genomic and clinical profile.

Google signs on to Foundation Medicine cancer Dx by offering tests to employees

By Emily Wasserman

Diagnostics luminary Foundation Medicine ($FMI) is generating some upward momentum, fueled by growing revenues and the success of its clinical tests. Tech giant Google ($GOOG) has taken note and is signing onto the company’s cancer diagnostics by offering them to employees.

Foundation Medicine CEO Michael Pellini said during the company’s Q3 earnings call that Google will start covering its DNA tests for employees and their family members suffering from cancer as part of its health benefits portfolio, Reuters reports.

Both sides stand to benefit from the deal, as Google looks to keep a leg up on Silicon Valley competitors and Foundation Medicine expands its cancer diagnostics platform. Last month, Apple ($AAPL) and Facebook ($FB) announced that they would begin covering the cost of egg freezing for female employees. A diagnostics partnership and attractive health benefits could work wonders for Google’s employee retention rates and bottom line.

In the meantime, Cambridge, MA-based Foundation Medicine is charging full speed ahead with its cancer diagnostics platform after filing for an IPO in September 2013. The company chalked up 6,428 clinical tests during Q3 2014, an eye-popping 149% increase year over year, and brought in total revenue for the quarter of $16.4 million–a 100% leap from last year. Foundation Medicine credits the promising numbers in part to new diagnostic partnerships and extended coverage for its tests.

In January, the company teamed up with Novartis ($NVS) to help the drugmaker evaluate potential candidates for its cancer therapies. In April, Foundation Medicine announced that it would develop a companion diagnostic test for a Clovis Oncology ($CLVS) drug under development to treat patients with ovarian cancer, building on an ongoing collaboration between the two companies.

Foundation Medicine also has its sights set on China’s growing diagnostics market, inking a deal in October with WuXi PharmaTech ($WX) that allows the company to perform lab testing for its FoundationOne assay at WuXi’s Shanghai-based Genome Center.

a nod to the deal with Google during a corporate earnings call on Wednesday, according to a person who listened in. Pellini said Google employees were made aware of this new benefit last week.

Foundation Medicine teams with MD Anderson for new trial of cancer Dx

Second study to see if targeted therapy can change patient outcomes

August 15, 2014 | By   FierceDiagnostics

Foundation Medicine ($FMI) is teaming up with the MD Anderson Cancer Center in Texas for a new trial of the the Cambridge, MA-based company’s molecular diagnostic cancer test that targets therapies matched to individual patients.

The study is called IMPACT2 (Initiative for Molecular Profiling and Advanced Cancer Therapy) and is designed to build on results from the the first IMPACT study that found

  • 40% of the 1,144 patients enrolled had an identifiable genomic alteration.

The company said that

  • by matching specific gene alterations to therapies,
  • 27% of patients in the first study responded versus
  • 5% with an unmatched treatment, and
  • “progression-free survival” was longer in the matched group.

The FoundationOne molecular diagnostic test

  • combines genetic sequencing and data gathering
  • to help oncologists choose the best treatment for individual patients.

Costing $5,800 per test, FoundationOne’s technology can uncover a large number of genetic alterations for 200 cancer-related genes,

  • blending genomic sequencing, information and clinical practice.

“Based on the IMPACT1 data, a validated, comprehensive profiling approach has already been adopted by many academic and community-based oncology practices,” Vincent Miller, chief medical officer of Foundation Medicine, said in a release. “This study has the potential to yield sufficient evidence necessary to support broader adoption across most newly diagnosed metastatic tumors.”

The company got a boost last month when the New York State Department of Health approved Foundation Medicine’s two initial cancer tests: the FoundationOne test and FoundationOne Heme, which creates a genetic profile for blood cancers. Typically,

  • diagnostics companies struggle to win insurance approval for their tests
  • even after they gain a regulatory approval, leaving revenue growth relatively flat.

However, Foundation Medicine reported earlier this week its Q2 revenue reached $14.5 million compared to $5.9 million for the same period a year ago. Still,

  1. net losses continue to soar as the company ramps up
  2. its commercial and business development operation,
  • hitting $13.7 million versus a $10.1 million deficit in the second quarter of 2013.

Oncology

There has been a remarkable transformation in our understanding of

  • the molecular genetic basis of cancer and its treatment during the past decade or so.

In depth genetic and genomic analysis of cancers has revealed that

  • each cancer type can be sub-classified into many groups based on the genetic profiles and
  • this information can be used to develop new targeted therapies and treatment options for cancer patients.

This panel will explore the technologies that are facilitating our understanding of cancer, and

  • how this information is being used in novel approaches for clinical development and treatment.
Oncology _ Reprted by Dr. Aviva Lev-Ari, Founder, Leaders in Pharmaceutical Intelligence

Opening Speaker & Moderator:

Lynda Chin, M.D.
Department Chair, Department of Genomic Medicine
MD Anderson Cancer Center

  • Who pays for PM?
  • potential of Big data, analytics, Expert systems, so not each MD needs to see all cases, Profile disease to get same treatment
  • business model: IP, Discovery, sharing, ownership — yet accelerate therapy
  • security of healthcare data
  • segmentation of patient population
  • management of data and tracking innovations
  • platforms to be shared for innovations
  • study to be longitudinal,
  • How do we reconcile course of disease with PM
  • phinotyping the disease vs a Patient in wait for cure/treatment

Panelists:

Roy Herbst, M.D., Ph.D.
Ensign Professor of Medicine and Professor of Pharmacology;
Chief of Medical Oncology, Yale Cancer Center and Smilow Cancer Hospital

Development new drugs to match patient, disease and drug – finding the right patient for the right Clinical Trial

  • match patient to drugs
  • partnerships: out of 100 screened patients, 10 had the gene, 5 were able to attend the trial — without the biomarker — all 100 patients would participate for the WRONG drug for them (except the 5)
  • patients wants to participate in trials next to home NOT to have to travel — now it is in the protocol
  • Annotated Databases – clinical Trial informed consent – adaptive design of Clinical Trial vs protocol
  • even Academic MD can’t read the reports on Genomics
  • patients are treated in the community — more training to MDs
  • Five companies collaborating – comparison og 6 drugs in the same class
  • if drug exist and you have the patient — you must apply PM

Summary and Perspective:

The current changes in Biotechnology have been reviewed with an open question about the relationship of In Vitro Diagnostics to Biopharmaceuticals switching, with the potential, particularly in cancer and infectious diseases, to added value in targeted therapy by matching patients to the best potential treatment for a favorable outcome.

This reviewer does not see the movement of the major diagnostics leaders entering into the domain of direct patient care, even though there are signals in that direction.  The Roche example is perhaps the most interesting because Roche already became the elephant in the room after the introduction of Valium,  subsequently bought out Boehringer Mannheim Diagnostics to gain entry into the IVD market, and established a huge presence in Molecular Diagnostics early.  If it did anything to gain a foothold in the treatment realm, it would more likely forge a relationship with Foundation Medicine.  Abbott Laboratories more than a decade ago was overextended, and it had become the leader in IVD as a result of the specialty tests, but it fell into difficulties with quality control of its products in the high volume testing market, and acceeded to Olympus, Roche, and in the mid volume market to Beckman and Siemens.  Of course, Dupont and Kodak, pioneering companies in IVD, both left the market.

The biggest challenge in the long run is identified by the ability to eliminate many treatments that would be failures for a large number of patients. That has already met the proof of concept.  However, when you look at the size of the subgroups, we are not anywhere near a large scale endeavor.  In addition, there is a lot that has to be worked out that is not related to genomic expression by the “classic” model, but has to take into account the emrging knowledge and greater understanding of regulation of cell metabolism, not only in cancer, but also in chronic inflammatory diseases.

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The Evolution of Clinical Chemistry in the 20th Century

Curator: Larry H. Bernstein, MD, FCAP

Article ID #164: The Evolution of Clinical Chemistry in the 20th Century. Published on 12/13/2014

WordCloud Image Produced by Adam Tubman

This is a subchapter in the series on developments in diagnostics in the period from 1880 to 1980.

Otto Folin: America’s First Clinical Biochemist

(Extracted from Samuel Meites, AACC History Division; Apr 1996)

Forward by Wendell T. Caraway, PhD.

The first introduction to Folin comes with the Folin-Wu protein-free filktrate, a technique for removing proteins from whole blood or plasma that resulted in water-clear solutions suitable for the determination of glucose, creatinine, uric acid, non-protein nitrogen, and chloride. The major active ingredient used in the precipitation of protein was sodium tungstate prepared “according to Folin”.Folin-Wu sugar tubes were used for the determination of glucose. From these and subsequent encounters, we learned that Folin was a pioneer in methods for the chemical analysis of blood.  The determination of uric acid in serum was the Benedict method in which protein-free filtrate was mixed with solutions of sodium cyanide and arsenophosphotungstic acid and then heated in a water bath to develop a blue color.  A thorough review of the literature revealed that Folin and Denis had published, in 1912, a method for uric acid in which they used sodium carbonate, rather than sodium cyanide, which was modified and largely superceded the “cyanide”method.

Notes from the author.

Modern clinical chemistry began with the application of 20th century quantitative analysis and instrumentation to measure constituents of blood and urine, and relating the values obtained to human health and disease. In the United States, the first impetus propelling this new area of biochemistry was provided by the 1912 papers of Otto Folin.  The only precedent for these stimulating findings was his own earlier and certainly classic papers on the quantitative compositiuon of urine, the laws governing its composition, and studies on the catabolic end products of protein, which led to his ingenious concept of endogenous and exogenous metabolism.  He had already determined blood ammonia in 1902.  This work preceded the entry of Stanley Benedict and Donald Van Slyke into biochemistry.  Once all three of them were active contributors, the future of clinical biochemistry was ensured. Those who would consult the early volumes of the Journal of Biological Chemistry will discover the direction that the work of Otto Follin gave to biochemistry.  This modest, unobstrusive man of Harvard was a powerful stimulus and inspiration to others.

Quantitatively, in the years of his scientific productivity, 1897-1934, Otto Folin published 151 (+ 1) journal articles including a chapter in Aberhalden’s handbook and one in Hammarsten’s Festschrift, but excluding his doctoral dissertation, his published abstracts, and several articles in the proceedings of the Association of Life Insurance Directors of America. He also wrote one monograph on food preservatives and produced five editions of his laboratory manual. He published four articles while studying in Europe (1896-98), 28 while at the McLean Hospital (1900-7), and 119 at Harvard (1908-34). In his banner year of 1912 he published 20 papers. His peak period from 1912-15 included 15 papers, the monograph, and most of the work on the first edition of his laboratory manual.

The quality of Otto Folin’s life’s work relates to its impact on biochemistry, particularly clinical biochemistry.  Otto’s two brilliant collaborators, Willey Denis and Hsien Wu, must be acknowledged.  Without denis, Otto could not have achieved so rapidly the introduction and popularization of modern blood analysis in the U.S. It would be pointless to conjecture how far Otto would have progressed without this pair.

His work provided the basis of the modern approach to the quantitative analysis of blood and urine through improved methods that reduced the body fluid volume required for analysis. He also applied these methods to metabolic studies on tissues as well as body fluids. Because his interests lay in protein metabolism, his major contributions were directede toward measuring nitrogenous waste or end products.His most dramatic achievement was is illustrated by the study of blood nitrogen retention in nephritis and gout.

Folin introduced colorimetry, turbidimetry, and the use of color filters into quantitative clinical biochemistry. He initiated and applied ingeniously conceived reagents and chemical reactions that paved the way for a host of studies by his contemporaries. He introduced the use of phosphomolybdate for detecting phenolic compounds, and phosphomolybdate for uric acid.  These, in turn, led to the quantitation of epinephrine and tyrosin tryptophane, and cystine in protein. The molybdate suggested to Fiske and SubbaRow the determination of phosphate as phosphomolybdate, and the tungsten led to the use of tungstic acid as a protein precipitant.  Phosphomolybdate became the key reagent in thge blood sugar method.  Folin resurrected the abandoned Jaffe reaction and established creatine and creatinine analysis. He also laid the groundwork for the discovery of the discovery of creatine phosphate. Clinical chemistry owes to him the introductionb of Nessler’s reagent, permutit, Lloyd’s reagent, gum ghatti, and preservatives for standards, such as benzoic acid and formaldehyde. Among his distinguished graduate investigators were Bloor, Doisy, fiske, Shaffer, SubbaRow, Sumner and, Wu.

A Golden Age of Clinical Chemistry: 1948–1960

Louis Rosenfeld
Clinical Chemistry 2000; 46(10): 1705–1714

The 12 years from 1948 to 1960 were notable for introduction of the Vacutainer
tube, electrophoresis, radioimmunoassay, and the Auto-Analyzer. Also
appearing during this interval were new organizations, publications, programs,
and services that established a firm foundation for the professional status
of clinical chemists. It was a golden age.
Except for photoelectric colorimeters, the clinical chemistry laboratories
in 1948—and in many places even later—were not very different from
those of 1925. The basic technology and equipment were essentially
unchanged.There was lots of glassware of different kinds—pipettes,
burettes, wooden racks of test tubes, funnels, filter paper,
cylinders, flasks, and beakers—as well as visual colorimeters,
centrifuges, water baths, an exhaust hood for evaporating organic
solvents after extractions, a microscope for examining urine
sediments, a double-pan analytical beam balance for weighing
reagents and standard chemicals, and perhaps a pH meter. The
most complicated apparatus was the Van Slyke volumetric gas
device—manually operated. The emphasis was on classical chemical
and biological techniques that did not require instrumentation.
The unparalleled growth and wide-ranging research that began after
World War II and have continued into the new century, often aided by
government funding for biomedical research and development as civilian
health has become a major national goal, have impacted the operations
of the clinical chemistry laboratory. The years from 1948 to 1960 were
especially notable for the innovative technology that produced better
methods for the investigation of many diseases, in many cases
leading to better treatment.

AUTOMATION IN CLINICAL CHEMISTRY: CURRENT SUCCESSES AND TRENDS
FOR THE FUTURE
Pierangelo Bonini
Pure & Appl.Chem.,1982;.54, (11):, 2Ol7—2O3O,

the history of automation in clinical chemistry is the history of how and
when the techno logical progress in the field of analytical methodology
as well as in the field of instrumentation, has helped clinical chemists
to mechanize their procedures and to control them.

GENERAL STEPS OF A CLINICAL CHEMISTRY PROCEDURE –
1 – PRELIMINARY TREATMENT (DEPR0TEINIZATION)
2 – SAMPLE + REAGENT(S)
3 – INCUBATION
L – READING
5 – CALCULATION
Fig. 1 General steps of a clinical chemistry procedure
Especially in the classic clinical chemistry methods, a preliminary treatment
of the sample ( in most cases a deproteinization) was an essential step. This
was a major constraint on the first tentative steps in automation and we will
see how this problem was faced and which new problems arose from avoiding
deproteinization. Mixing samples and reagents is the next step; then there is
a more or less long incubation at different temperatures and finally reading,
which means detection of modifications of some physical property of the
mixture; in most cases the development of a colour can reveal the reaction
but, as well known, many other possibilities exist; finally the result is calculated.

Some 25 years ago, Skeggs (1) presented his paper on continuous flow
automation that was the basis of very successful instruments still used all over
the world. The continuous flow automation reactions take place in an hydraulic
route common to all samples.them after mechanization.

Standards and samples enter the analytical stream segmented by air bubbles
and, as they circulate, specific chemical reactions and physical manipulations
continuously take place in the stream. Finally, after the air bubbles are vented,
the colour intensity, proportional to the solute molecules, is monitored in a
detector flow cell.

It is evident that the most important aim of automation is to correctly process
as many samples in as short a time as possible. This result can be obtained
thanks to many technological advances either from analytical point of view or
from the instrument technology.

ANALYTICAL METHODOLOGY –
– VERY ACTIVE ENZYMATIC REAGENTS
–                          SHORTER REACTION TIME
– KINETIC AND FIXED TIME REACTIONS
–                        No NEED OF DEPROTEINIZATION
– SURFACTANTS
–                      AUTOMATIC SAtIPLE BLANK CALCULATION
– POLYCHROMATIC ANALYSIS

The introduction of very active enzymatic reagents for determination of
substrates resulted in shorter reaction times and possibly, in many cases,
of avoiding deproteinization.Reaction times are also reduced by using kinetic
and fixed time reactions instead of end points. In this case, the measurement
of sample blank does not need a separate tube with separate reaction
mixture. Deproteinization can be avoided also by using some surfac—
tants in the reagent mixture. An automatic calculation of sample blanks
is also possible by using polychromatic analysis. As we can see from this
figure, reduction of reaction times and elimination of tedious ope
rations like deproteinization, are the main results of this analytical progress.

Many relevant improvements in mechanics and optics over the last
twenty years and the tremendous advance in electronics have largely
contributed to the instrumental improvement of clinical chemistry automation.

A recent interesting innovation in the field of centrifugal analyzers consists
in the possibility of adding another reagent to an already mixed sample—
reagent solution. This innovation allows a preincubation to be made and
sample blanks to be read before adding the starter reagent.
The possibility to measure absorbances in cuvettes positioned longitudinally
to the light path, realized in a recent model of centrifugal analyzers, is claimed
to be advantageous to read absorbances in non homogeneous solutions, to
avoid any influence of reagent volume errors on the absorbance and to have
more suitable calculation factors. The interest of fluorimetric assays is
growing more and more, especially in connection with drugs immunofluorimetric
assays. This technology has been recently applied also to centrifugal analyzers
technology. A Xenon lamp generates a high energy light, reflected by a mirror
— holographic — grating operated by a stepping motor.
The selected wavelength of the exciting light passes through a split and
reaches the rotating cuvettes. Fluorescence is then filtered, read by
means of a photomultiplier and compared to the continuously monitored
fluorescence of an appropriate reference compound. In this way, eventual
instability due either to the electro—optical devices or to changes in
physicochemical properties of solution is corrected.

…more…

Dr. Yellapragada Subbarow – ATP – Energy for Life

One of the observations Dr SubbaRow made while testing the phosphorus method seemed to provide a clue to the mystery what happens to blood sugar when insulin is administered. Biochemists began investigating the problem when Frederick Banting showed that injections of insulin, the pancreatic hormone, keeps blood sugar under control and keeps diabetics alive.

SubbaRow worked for 18 months on the problem, often dieting and starving along with animals used in experiments. But the initial observations were finally shown to be neither significant nor unique and the project had to be scrapped in September 1926.

Out of the ashes of this project however arose another project that provided the key to the ancient mystery of muscular contraction. Living organisms resist degeneration and destruction with the help of muscles, and biochemists had long believed that a hypothetical inogen provided the energy required for the flexing of muscles at work.

Two researchers at Cambridge University in United Kingdom confirmed that lactic acid is formed when muscles contract and Otto Meyerhof of Germany showed that this lactic acid is a breakdown product of glycogen, the animal starch stored all over the body, particularly in liver, kidneys and muscles. When Professor Archibald Hill of the University College of London demonstrated that conversion of glycogen to lactic acid partly accounts for heat produced during muscle contraction everybody assumed that glycogen was the inogen. And, the 1922 Nobel Prize for medicine and physiology was divided between Hill and Meyerhof.

But how is glycogen converted to lactic acid? Embden, another German biochemist, advanced the hypothesis that blood sugar and phosphorus combine to form a hexose phosphoric ester which breaks down glycogen in the muscle to lactic acid.

In the midst of the insulin experiments, it occurred to Fiske and SubbaRow that Embden’s hypothesis would be supported if normal persons were found to have more hexose phosphate in their muscle and liver than diabetics. For diabetes is the failure of the body to use sugar. There would be little reaction between sugar and phosphorus in a diabetic body. If Embden was right, hexose (sugar) phosphate level in the muscle and liver of diabetic animals should rise when insulin is injected.

Fiske and SubbaRow rendered some animals diabetic by removing their pancreas in the spring of 1926, but they could not record any rise in the organic phosphorus content of muscles or livers after insulin was administered to the animals. Sugar phosphates were indeed produced in their animals but they were converted so quickly by enzymes to lactic acid that Fiske and SubbaRow could not detect them with methods then available. This was fortunate for science because, in their mistaken belief that Embden was wrong, they began that summer an extensive study of organic phosphorus compounds in the muscle “to repudiate Meyerhof completely”.

The departmental budget was so poor that SubbaRow often waited on the back streets of Harvard Medical School at night to capture cats he needed for the experiments. When he prepared the cat muscles for estimating their phosphorus content, SubbaRow found he could not get a constant reading in the colorimeter. The intensity of the blue colour went on rising for thirty minutes. Was there something in muscle which delayed the colour reaction? If yes, the time for full colour development should increase with the increase in the quantity of the sample. But the delay was not greater when the sample was 10 c.c. instead of 5 c.c. The only other possibility was that muscle had an organic compound which liberated phosphorus as the reaction in the colorimeter proceeded. This indeed was the case, it turned out. It took a whole year.

The mysterious colour delaying substance was a compound of phosphoric acid and creatine and was named Phosphocreatine. It accounted for two-thirds of the phosphorus in the resting muscle. When they put muscle to work by electric stimulation, the Phosphocreatine level fell and the inorganic phosphorus level rose correspondingly. It completely disappeared when they cut off the blood supply and drove the muscle to the point of “fatigue” by continued electric stimulation. And, presto! It reappeared when the fatigued muscle was allowed a period of rest.

Phosphocreatine created a stir among the scientists present when Fiske unveiled it before the American Society of Biological Chemists at Rochester in April 1927. The Journal of American Medical Association hailed the discovery in an editorial. The Rockefeller Foundation awarded a fellowship that helped SubbaRow to live comfortably for the first time since his arrival in the United States. All of Harvard Medical School was caught up with an enthusiasm that would be a life-time memory for con­temporary students. The students were in awe of the medium-sized, slightly stoop shouldered, “coloured” man regarded as one of the School’s top research workers.

SubbaRow’s carefully conducted series of experiments disproved Meyerhof’s assumptions about the glycogen-lactic acid cycle. His calculations fully accounted for the heat output during muscle contraction. Hill had not been able to fully account for this in terms of Meyerhof’s theory. Clearly the Nobel Committee was in haste in awarding the 1922 physiology prize, but the biochemistry orthodoxy led by Meyerhof and Hill themselves was not too eager to give up their belief in glycogen as the prime source of muscular energy.

Fiske and SubbaRow were fully upheld and the Meyerhof-Hill­ theory finally rejected in 1930 when a Danish physiologist showed that muscles can work to exhaustion without the aid of glycogen or the stimulation of lactic acid.

Fiske and SubbaRow had meanwhile followed a substance that was formed by the combination of phosphorus, liberated from Phosphocreatine, with an unidentified compound in muscle. SubbaRow isolated it and identified it as a chemical in which adenylic acid was linked to two extra molecules of phosphoric acid. By the time he completed the work to the satisfaction of Fiske, it was August 1929 when Harvard Medical School played host to the 13th International Physiological Congress.

ATP was presented to the gathered scientists before the Congress ended. To the dismay of Fiske and SubbaRow, a few days later arrived in Boston a German science journal, published 16 days before the Congress opened. It carried a letter from Karl Lohmann of Meyerhof’s laboratory, saying he had isolated from muscle a compound of adenylic acid linked to two molecules of phosphoric acid!

While Archibald Hill never adjusted himself to the idea that the basis of his Nobel Prize work had been demolished, Otto Meyerhof and his associates had seen the importance of Phosphocreatine discovery and plunged themselves into follow-up studies in competition with Fiske and SubbaRow. Two associates of Hill had in fact stumbled upon Phosphocreatine about the same time as Fiske and SubbaRow but their loyalty to Meyerhof-Hill theory acted as blinkers and their hasty and premature publications reveal their confusion about both the nature and significance of Phosphocreatine.

The discovery of ATP and its significance helped reveal the full story of muscular contraction: Glycogen arriving in muscle gets converted into lactic acid which is siphoned off to liver for re-synthesis of glycogen. This cycle yields three molecules of ATP and is important in delivering usable food energy to the muscle. Glycolysis or break up of glycogen is relatively slow in getting started and in any case muscle can retain ATP only in small quantities. In the interval between the begin­ning of muscle activity and the arrival of fresh ATP from glycolysis, ­Phosphocreatine maintains ATP supply by re-synthesizing it as fast as its energy terminals are used up by muscle for its activity.

Muscular contraction made possible by ATP helps us not only to move our limbs and lift weights but keeps us alive. The heart is after all a muscle pouch and millions of muscle cells embedded in the walls of arteries keep the life-sustaining blood pumped by the heart coursing through body organs. ATP even helps get new life started by powering the sperm’s motion toward the egg as well as the spectacular transformation of the fertilized egg in the womb.

Archibald Hill for long denied any role for ATP in muscle contraction, saying ATP has not been shown to break down in the intact muscle. This objection was also met in 1962 when University of Pennsylvania scientists showed that muscles can contract and relax normally even when glycogen and Phosphocreatine are kept under check with an inhibitor.

Michael Somogyi

Michael Somogyi was born in Reinsdorf, Austria-Hungary, in 1883. He received a degree in chemical engineering from the University of Budapest, and after spending some time there as a graduate assistant in biochemistry, he immigrated to the United States. From 1906 to 1908 he was an assistant in biochemistry at Cornell University.

Returning to his native land in 1908, he became head of the Municipal Laboratory in Budapest, and in 1914 he was granted his Ph.D. After World War I, the politically unstable situation in his homeland led him to return to the United States where he took a job as an instructor in biochemistry at Washington University in St. Louis, Missouri. While there he assisted Philip A. Shaffer and Edward Adelbert Doisy, Sr., a future Nobel Prize recipient, in developing a new method for the preparation of insulin in sufficiently large amounts and of sufficient purity to make it a viable treatment for diabetes. This early work with insulin helped foster Somogyi’s lifelong interest in the treatment and cure of diabetes. He was the first biochemist appointed to the staff of the newly opened Jewish Hospital, and he remained there as the director of their clinical laboratory until his retirement in 1957.

Arterial Blood Gases.  Van Slyke.

The test is used to determine the pH of the blood, the partial pressure of carbon dioxide and oxygen, and the bicarbonate level. Many blood gas analyzers will also report concentrations of lactate, hemoglobin, several electrolytes, oxyhemoglobin, carboxyhemoglobin and methemoglobin. ABG testing is mainly used in pulmonology and critical care medicine to determine gas exchange which reflect gas exchange across the alveolar-capillary membrane.

DONALD DEXTER VAN SLYKE died on May 4, 1971, after a long and productive career that spanned three generations of biochemists and physicians. He left behind not only a bibliography of 317 journal publications and 5 books, but also more than 100 persons who had worked with him and distinguished themselves in biochemistry and academic medicine. His doctoral thesis, with Gomberg at University of Michigan was published in the Journal of the American Chemical Society in 1907.  Van Slyke received an invitation from Dr. Simon Flexner, Director of the Rockefeller Institute, to come to New York for an interview. In 1911 he spent a year in Berlin with Emil Fischer, who was then the leading chemist of the scientific world. He was particularly impressed by Fischer’s performing all laboratory operations quantitatively —a procedure Van followed throughout his life. Prior to going to Berlin, he published the classic nitrous acid method for the quantitative determination of primary aliphatic amino groups, the first of the many gasometric procedures devised by Van Slyke, and made possible the determination of amino acids. It was the primary method used to study amino acid composition of proteins for years before chromatography. Thus, his first seven postdoctoral years were centered around the development of better methodology for protein composition and amino acid metabolism.

With his colleague G. M. Meyer, he first demonstrated that amino acids, liberated during digestion in the intestine, are absorbed into the bloodstream, that they are removed by the tissues, and that the liver alone possesses the ability to convert the amino acid nitrogen into urea.  From the study of the kinetics of urease action, Van Slyke and Cullen developed equations that depended upon two reactions: (1) the combination of enzyme and substrate in stoichiometric proportions and (2) the reaction of the combination into the end products. Published in 1914, this formulation, involving two velocity constants, was similar to that arrived at contemporaneously by Michaelis and Menten in Germany in 1913.

He transferred to the Rockefeller Institute’s Hospital in 2013, under Dr. Rufus Cole, where “Men who were studying disease clinically had the right to go as deeply into its fundamental nature as their training allowed, and in the Rockefeller Institute’s Hospital every man who was caring for patients should also be engaged in more fundamental study”.  The study of diabetes was already under way by Dr. F. M. Allen, but patients inevitably died of acidosis.  Van Slyke reasoned that if incomplete oxidation of fatty acids in the body led to the accumulation of acetoacetic and beta-hydroxybutyric acids in the blood, then a reaction would result between these acids and the bicarbonate ions that would lead to a lower than-normal bicarbonate concentration in blood plasma. The problem thus became one of devising an analytical method that would permit the quantitative determination of bicarbonate concentration in small amounts of blood plasma.  He ingeniously devised a volumetric glass apparatus that was easy to use and required less than ten minutes for the determination of the total carbon dioxide in one cubic centimeter of plasma.  It also was soon found to be an excellent apparatus by which to determine blood oxygen concentrations, thus leading to measurements of the percentage saturation of blood hemoglobin with oxygen. This found extensive application in the study of respiratory diseases, such as pneumonia and tuberculosis. It also led to the quantitative study of cyanosis and a monograph on the subject by C. Lundsgaard and Van Slyke.

In all, Van Slyke and his colleagues published twenty-one papers under the general title “Studies of Acidosis,” beginning in 1917 and ending in 1934. They included not only chemical manifestations of acidosis, but Van Slyke, in No. 17 of the series (1921), elaborated and expanded the subject to describe in chemical terms the normal and abnormal variations in the acid-base balance of the blood. This was a landmark in understanding acid-base balance pathology.  Within seven years after Van moved to the Hospital, he had published a total of fifty-three papers, thirty-three of them coauthored with clinical colleagues.

In 1920, Van Slyke and his colleagues undertook a comprehensive investigation of gas and electrolyte equilibria in blood. McLean and Henderson at Harvard had made preliminary studies of blood as a physico-chemical system, but realized that Van Slyke and his colleagues at the Rockefeller Hospital had superior techniques and the facilities necessary for such an undertaking. A collaboration thereupon began between the two laboratories, which resulted in rapid progress toward an exact physico-chemical description of the role of hemoglobin in the transport of oxygen and carbon dioxide, of the distribution of diffusible ions and water between erythrocytes and plasma, and of factors such as degree of oxygenation of hemoglobin and hydrogen ion concentration that modified these distributions. In this Van Slyke revised his volumetric gas analysis apparatus into a manometric method.  The manometric apparatus proved to give results that were from five to ten times more accurate.

A series of papers on the CO2 titration curves of oxy- and deoxyhemoglobin, of oxygenated and reduced whole blood, and of blood subjected to different degrees of oxygenation and on the distribution of diffusible ions in blood resulted.  These developed equations that predicted the change in distribution of water and diffusible ions between blood plasma and blood cells when there was a change in pH of the oxygenated blood. A significant contribution of Van Slyke and his colleagues was the application of the Gibbs-Donnan Law to the blood—regarded as a two-phase system, in which one phase (the erythrocytes) contained a high concentration of nondiffusible negative ions, i.e., those associated with hemoglobin, and cations, which were not freely exchaThe importance of Vanngeable between cells and plasma. By changing the pH through varying the CO2 tension, the concentration of negative hemoglobin charges changed in a predictable amount. This, in turn, changed the distribution of diffusible anions such as Cl” and HCO3″ in order to restore the Gibbs-Donnan equilibrium. Redistribution of water occurred to restore osmotic equilibrium. The experimental results confirmed the predictions of the equations.

As a spin-off from the physico-chemical study of the blood, Van undertook, in 1922, to put the concept of buffer value of weak electrolytes on a mathematically exact basis.

This proved to be useful in determining buffer values of mixed, polyvalent, and amphoteric electrolytes, and put the understanding of buffering on a quantitative basis. A monograph in Medicine entitled “Observation on the Courses of Different Types of Bright’s Disease, and on the Resultant Changes in Renal Anatomy,” was a landmark that related the changes occurring at different stages of renal deterioration to the quantitative changes taking place in kidney function. During this period, Van Slyke and R. M. Archibald identified glutamine as the source of urinary ammonia. During World War II, Van and his colleagues documented the effect of shock on renal function and, with R. A. Phillips, developed a simple method, based on specific gravity, suitable for use in the field.

Over 100 of Van’s 300 publications were devoted to methodology. The importance of Van Slyke’s contribution to clinical chemical methodology cannot be overestimated. These included the blood organic constituents (carbohydrates, fats, proteins, amino acids, urea, nonprotein nitrogen, and phospholipids) and the inorganic constituents (total cations, calcium, chlorides, phosphate, and the gases carbon dioxide, carbon monoxide, and nitrogen). It was said that a Van Slyke manometric apparatus was almost all the special equipment needed to perform most of the clinical chemical analyses customarily performed prior to the introduction of photocolorimeters and spectrophotometers for such determinations.

The progress made in the medical sciences in genetics, immunology, endocrinology, and antibiotics during the second half of the twentieth century obscures at times the progress that was made in basic and necessary biochemical knowledge during the first half. Methods capable of giving accurate quantitative chemical information on biological material had to be painstakingly devised; basic questions on chemical behavior and metabolism had to be answered; and, finally, those factors that adversely modified the normal chemical reactions in the body so that abnormal conditions arise that we characterize as disease states had to be identified.

Viewed in retrospect, he combined in one scientific lifetime (1) basic contributions to the chemistry of body constituents and their chemical behavior in the body, (2) a chemical understanding of physiological functions of certain organ systems (notably the respiratory and renal), and (3) how such information could be exploited in the understanding and treatment of disease. That outstanding additions to knowledge in all three categories were possible was in large measure due to his sound and broadly based chemical preparation, his ingenuity in devising means of accurate measurements of chemical constituents, and the opportunity given him at the Hospital of the Rockefeller Institute to study disease in company with physicians.

In addition, he found time to work collaboratively with Dr. John P. Peters of Yale on the classic, two-volume Quantitative Clinical Chemistry. In 1922, John P. Peters, who had just gone to Yale from Van Slyke’s laboratory as an Associate Professor of Medicine, was asked by a publisher to write a modest handbook for clinicians describing useful chemical methods and discussing their application to clinical problems. It was originally to be called “Quantitative Chemistry in Clinical Medicine.” He soon found that it was going to be a bigger job than he could handle alone and asked Van Slyke to join him in writing it. Van agreed, and the two men proceeded to draw up an outline and divide up the writing of the first drafts of the chapters between them. They also agreed to exchange each chapter until it met the satisfaction of both.At the time it was published in 1931, it contained practically all that could be stated with confidence about those aspects of disease that could be and had been studied by chemical means. It was widely accepted throughout the medical world as the “Bible” of quantitative clinical chemistry, and to this day some of the chapters have not become outdated.

Paul Flory

Paul J. Flory was born in Sterling, Illinois, in 1910. He attended Manchester College, an institution for which he retained an abiding affection. He did his graduate work at Ohio State University, earning his Ph.D. in 1934. He was awarded the Nobel Prize in Chemistry in 1974, largely for his work in the area of the physical chemistry of macromolecules.

Flory worked as a newly minted Ph.D. for the DuPont Company in the Central Research Department with Wallace H. Carothers. This early experience with practical research instilled in Flory a lifelong appreciation for the value of industrial application. His work with the Air Force Office of Strategic Research and his later support for the Industrial Affiliates program at Stanford University demonstrated his belief in the need for theory and practice to work hand-in-hand.

Following the death of Carothers in 1937, Flory joined the University of Cincinnati’s Basic Science Research Laboratory. After the war Flory taught at Cornell University from 1948 until 1957, when he became executive director of the Mellon Institute. In 1961 he joined the chemistry faculty at Stanford, where he would remain until his retirement.

Among the high points of Flory’s years at Stanford were his receipt of the National Medal of Science (1974), the Priestley Award (1974), the J. Willard Gibbs Medal (1973), the Peter Debye Award in Physical Chemistry (1969), and the Charles Goodyear Medal (1968). He also traveled extensively, including working tours to the U.S.S.R. and the People’s Republic of China.

Abraham Savitzky

Abraham Savitzky was born on May 29, 1919, in New York City. He received his bachelor’s degree from the New York State College for Teachers in 1941. After serving in the U.S. Air Force during World War II, he obtained a master’s degree in 1947 and a Ph.D. in 1949 in physical chemistry from Columbia University.

In 1950, after working at Columbia for a year, he began a long career with the Perkin-Elmer Corporation. Savitzky started with Perkin-Elmer as a staff scientist who was chiefly concerned with the design and development of infrared instruments. By 1956 he was named Perkin-Elmer’s new product coordinator for the Instrument Division, and as the years passed, he continued to gain more and more recognition for his work in the company. Most of his work with Perkin-Elmer focused on computer-aided analytical chemistry, data reduction, infrared spectroscopy, time-sharing systems, and computer plotting. He retired from Perkin-Elmer in 1985.

Abraham Savitzky holds seven U.S. patents pertaining to computerization and chemical apparatus. During his long career he presented numerous papers and wrote several manuscripts, including “Smoothing and Differentiation of Data by Simplified Least Squares Procedures.” This paper, which is the collaborative effort of Savitzky and Marcel J. E. Golay, was published in volume 36 of Analytical Chemistry, July 1964. It is one of the most famous, respected, and heavily cited articles in its field. In recognition of his many significant accomplishments in the field of analytical chemistry and computer science, Savitzky received the Society of Applied Spectroscopy Award in 1983 and the Williams-Wright Award from the Coblenz Society in 1986.

Samuel Natelson

Samuel Natelson attended City College of New York and received his B.S. in chemistry in 1928. As a graduate student, Natelson attended New York University, receiving a Sc.M. in 1930 and his Ph.D. in 1931. After receiving his Ph.D., he began his career teaching at Girls Commercial High School. While maintaining his teaching position, Natelson joined the Jewish Hospital of Brooklyn in 1933. Working as a clinical chemist for Jewish Hospital, Natelson first conceived of the idea of a society by and for clinical chemists. Natelson worked to organize the nine charter members of the American Association of Clinical Chemists, which formally began in 1948. A pioneer in the field of clinical chemistry, Samuel Natelson has become a role model for the clinical chemist. Natelson developed the usage of microtechniques in clinical chemistry. During this period, he served as a consultant to the National Aeronautics and Space Administration in the 1960s, helping analyze the effect of weightless atmospheres on astronauts’ blood. Natelson spent his later career as chair of the biochemistry department at Michael Reese Hospital and as a lecturer at the Illinois Institute of Technology.

Arnold Beckman

Arnold Orville Beckman (April 10, 1900 – May 18, 2004) was an American chemist, inventor, investor, and philanthropist. While a professor at Caltech, he founded Beckman Instruments based on his 1934 invention of the pH meter, a device for measuring acidity, later considered to have “revolutionized the study of chemistry and biology”.[1] He also developed the DU spectrophotometer, “probably the most important instrument ever developed towards the advancement of bioscience”.[2] Beckman funded the first transistor company, thus giving rise to Silicon Valley.[3]

He earned his bachelor’s degree in chemical engineering in 1922 and his master’s degree in physical chemistry in 1923. For his master’s degree he studied the thermodynamics of aqueous ammonia solutions, a subject introduced to him by T. A. White.. Beckman decided to go to Caltech for his doctorate. He stayed there for a year, before returning to New York to be near his fiancée, Mabel. He found a job with Western Electric’s engineering department, the precursor to the Bell Telephone Laboratories. Working with Walter A. Shewhart, Beckman developed quality control programs for the manufacture of vacuum tubes and learned about circuit design. It was here that Beckman discovered his interest in electronics.

In 1926 the couple moved back to California and Beckman resumed his studies at Caltech. He became interested in ultraviolet photolysis and worked with his doctoral advisor, Roscoe G. Dickinson, on an instrument to find the energy of ultraviolet light. It worked by shining the ultraviolet light onto a thermocouple, converting the incident heat into electricity, which drove a galvanometer. After receiving a Ph.D. in photochemistry in 1928 for this application of quantum theory to chemical reactions, Beckman was asked to stay on at Caltech as an instructor and then as a professor. Linus Pauling, another of Roscoe G. Dickinson’s graduate students, was also asked to stay on at Caltech.

During his time at Caltech, Beckman was active in teaching at both the introductory and advanced graduate levels. Beckman shared his expertise in glass-blowing by teaching classes in the machine shop. He also taught classes in the design and use of research instruments. Beckman dealt first-hand with the chemists’ need for good instrumentation as manager of the chemistry department’s instrument shop. Beckman’s interest in electronics made him very popular within the chemistry department at Caltech, as he was very skilled in building measuring instruments.

Over the time that he was at Caltech, the focus of the department increasingly moved towards pure science and away from chemical engineering and applied chemistry. Arthur Amos Noyes, head of the chemistry division, encouraged both Beckman and chemical engineer William Lacey to be in contact with real-world engineers and chemists, and Robert Andrews Millikan, Caltech’s president, referred technical questions to Beckman from government and businessess.

Sunkist Growers was having problems with its manufacturing process. Lemons that were not saleable as produce were made into pectin or citric acid, with sulfur dioxide used as a preservative. Sunkist needed to know the acidity of the product at any given time, Chemist Glen Joseph at Sunkist was attempting to measure the hydrogen-ion concentration in lemon juice electrochemically, but sulfur dioxide damaged hydrogen electrodes, and non-reactive glass electrodes produced weak signals and were fragile.

Joseph approached Beckman, who proposed that instead of trying to increase the sensitivity of his measurements, he amplify his results. Beckman, familiar with glassblowing, electricity, and chemistry, suggested a design for a vacuum-tube amplifier and ended up building a working apparatus for Joseph. The glass electrode used to measure pH was placed in a grid circuit in the vacuum tube, producing an amplified signal which could then be read by an electronic meter. The prototype was so useful that Joseph requested a second unit.

Beckman saw an opportunity, and rethinking the project, decided to create a complete chemical instrument which could be easily transported and used by nonspecialists. By October 1934, he had registered patent application U.S. Patent No. 2,058,761 for his “acidimeter”, later renamed the pH meter. Although it was priced expensively at $195, roughly the starting monthly wage for a chemistry professor at that time, it was significantly cheaper than the estimated cost of building a comparable instrument from individual components, about $500. The original pH meter weighed in at nearly 7 kg, but was a substantial improvement over a benchful of delicate equipment. The earliest meter had a design glitch, in that the pH readings changed with the depth of immersion of the electrodes, but Beckman fixed the problem by sealing the glass bulb of the electrode. The pH meter is an important device for measuring the pH of a solution, and by 11 May 1939, sales were successful enough that Beckman left Caltech to become the full-time president of National Technical Laboratories. By 1940, Beckman was able to take out a loan to build his own 12,000 square foot factory in South Pasadena.

In 1940, the equipment needed to analyze emission spectra in the visible spectrum could cost a laboratory as much as $3,000, a huge amount at that time. There was also growing interest in examining ultraviolet spectra beyond that range. In the same way that he had created a single easy-to-use instrument for measuring pH, Beckman made it a goal to create an easy-to-use instrument for spectrophotometry. Beckman’s research team, led by Howard Cary, developed several models.

The new spectrophotometers used a prism to spread light into its absorption spectra and a phototube to “read” the spectra and generate electrical signals, creating a standardized “fingerprint” for the material tested. With Beckman’s model D, later known as the DU spectrophotometer, National Technical Laboratories successfully created the first easy-to-use single instrument containing both the optical and electronic components needed for ultraviolet-absorption spectrophotometry. The user could insert a sample, dial up the desired frequency, and read the amount of absorption of that frequency from a simple meter. It produced accurate absorption spectra in both the ultraviolet and the visible regions of the spectrum with relative ease and repeatable accuracy. The National Bureau of Standards ran tests to certify that the DU’s results were accurate and repeatable and recommended its use.

Beckman’s DU spectrophotometer has been referred to as the “Model T” of scientific instruments: “This device forever simplified and streamlined chemical analysis, by allowing researchers to perform a 99.9% accurate biological assessment of a substance within minutes, as opposed to the weeks required previously for results of only 25% accuracy.” Nobel laureate Bruce Merrifield is quoted as calling the DU spectrophotometer “probably the most important instrument ever developed towards the advancement of bioscience.”

Development of the spectrophotometer also had direct relevance to the war effort. The role of vitamins in health was being studied, and scientists wanted to identify Vitamin A-rich foods to keep soldiers healthy. Previous methods involved feeding rats for several weeks, then performing a biopsy to estimate Vitamin A levels. The DU spectrophotometer yielded better results in a matter of minutes. The DU spectrophotometer was also an important tool for scientists studying and producing the new wonder drug penicillin. By the end of the war, American pharmaceutical companies were producing 650 billion units of penicillin each month. Much of the work done in this area during World War II was kept secret until after the war.

Beckman also developed the infrared spectrophotometer, first the the IR-1, then, in 1953, he redesigned the instrument. The result was the IR-4, which could be operated using either a single or double beam of infrared light. This allowed a user to take both the reference measurement and the sample measurement at the same time.

Beckman Coulter Inc., is an American company that makes biomedical laboratory instruments. Founded by Caltech professor Arnold O. Beckman in 1935 as National Technical Laboratories to commercialize a pH meter that he had invented, the company eventually grew to employ over 10,000 people, with $2.4 billion in annual sales by 2004. Its current headquarters are in Brea, California.

In the 1940s, Beckman changed the name to Arnold O. Beckman, Inc. to sell oxygen analyzers, the Helipot precision potentiometer, and spectrophotometers. In the 1950s, the company name changed to Beckman Instruments, Inc.

Beckman was contacted by Paul Rosenberg. Rosenberg worked at MIT’s Radiation Laboratory. The lab was part of a secret network of research institutions in both the United States and Britain that were working to develop radar, “radio detecting and ranging”. The project was interested in Beckman because of the high quality of the tuning knobs or “potentiometers” which were used on his pH meters. Beckman had trademarked the design of the pH meter knobs, under the name “helipot” for “helical potentiometer”. Rosenberg had found that the helipot was more precise, by a factor of ten, than other knobs. He redesigned the knob to have a continuous groove, in which the contact could not be jarred out of contact.

Beckman instruments were also used by the Manhattan Project to measure radiation in gas-filled, electrically charged ionization chambers in nuclear reactors.
The pH meter was adapted to do the job with a relatively minor adjustment – substituting an input-load resistor for the glass electrode. As a result, Beckman Instruments developed a new product, the micro-ammeter

After the war, Beckman developed oxygen analyzers that were used to monitor conditions in incubators for premature babies. Doctors at Johns Hopkins University used them to determine recommendations for healthy oxygen levels for incubators.

Beckman himself was approached by California governor Goodwin Knight to head a Special Committee on Air Pollution, to propose ways to combat smog. At the end of 1953, the committee made its findings public. The “Beckman Bible” advised key steps to be taken immediately:

In 1955, Beckman established the seminal Shockley Semiconductor Laboratory as a division of Beckman Instruments to begin commercializing the semiconductor transistor technology invented by Caltech alumnus William Shockley. The Shockley Laboratory was established in nearby Mountain View, California, and thus, “Silicon Valley” was born.

Beckman also saw that computers and automation offered a myriad of opportunities for integration into instruments, and the development of new instruments.

The Arnold and Mabel Beckman Foundation was incorporated in September 1977.  At the time of Beckman’s death, the Foundation had given more than 400 million dollars to a variety of charities and organizations. In 1990, it was considered one of the top ten foundations in California, based on annual gifts. Donations chiefly went to scientists and scientific causes as well as Beckman’s alma maters. He is quoted as saying, “I accumulated my wealth by selling instruments to scientists,… so I thought it would be appropriate to make contributions to science, and that’s been my number one guideline for charity.”

Wallace H. Coulter

Engineer, Inventor, Entrepreneur, Visionary

Wallace Henry Coulter was an engineer, inventor, entrepreneur and visionary. He was co-founder and Chairman of Coulter® Corporation, a worldwide medical diagnostics company headquartered in Miami, Florida. The two great passions of his life were applying engineering principles to scientific research, and embracing the diversity of world cultures. The first passion led him to invent the Coulter Principle™, the reference method for counting and sizing microscopic particles suspended in a fluid.

This invention served as the cornerstone for automating the labor intensive process of counting and testing blood. With his vision and tenacity, Wallace Coulter, was a founding father in the field of laboratory hematology, the science and study of blood. His global viewpoint and passion for world cultures inspired him to establish over twenty international subsidiaries. He recognized that it was imperative to employ locally based staff to service his customers before this became standard business strategy.

Wallace’s first attempts to patent his invention were turned away by more than one attorney who believed “you cannot patent a hole”. Persistent as always, Wallace finally applied for his first patent in 1949 and it was issued on October 20, 1953. That same year, two prototypes were sent to the National Institutes of Health for evaluation. Shortly after, the NIH published its findings in two key papers, citing improved accuracy and convenience of the Coulter method of counting blood cells. That same year, Wallace publicly disclosed his invention in his one and only technical paper at the National Electronics Conference, “High Speed Automatic Blood Cell Counter and Cell Size Analyzer”.

Leonard Skeggs was the inventor of the first continuous flow analyser way back in 1957. This groundbreaking event completely changed the way that chemistry was carried out. Many of the laborious tests that dominated lab work could be automated, increasing productivity and freeing personnel for other more challenging tasks

Continuous flow analysis and its offshoots and decedents are an integral part of modern chemistry. It might therefore be some conciliation to Leonard Skeggs to know that not only was he the beneficiary of an appellation with a long and fascinating history, he also created a revolution in wet chemistry that is still with us today.

Technicon

The AutoAnalyzer is an automated analyzer using a flow technique called continuous flow analysis (CFA), first made by the Technicon Corporation. The instrument was invented 1957 by Leonard Skeggs, PhD and commercialized by Jack Whitehead’s Technicon Corporation. The first applications were for clinical analysis, but methods for industrial analysis soon followed. The design is based on separating a continuously flowing stream with air bubbles.

In continuous flow analysis (CFA) a continuous stream of material is divided by air bubbles into discrete segments in which chemical reactions occur. The continuous stream of liquid samples and reagents are combined and transported in tubing and mixing coils. The tubing passes the samples from one apparatus to the other with each apparatus performing different functions, such as distillation, dialysis, extraction, ion exchange, heating, incubation, and subsequent recording of a signal. An essential principle of the system is the introduction of air bubbles. The air bubbles segment each sample into discrete packets and act as a barrier between packets to prevent cross contamination as they travel down the length of the tubing. The air bubbles also assist mixing by creating turbulent flow (bolus flow), and provide operators with a quick and easy check of the flow characteristics of the liquid. Samples and standards are treated in an exactly identical manner as they travel the length of the tubing, eliminating the necessity of a steady state signal, however, since the presence of bubbles create an almost square wave profile, bringing the system to steady state does not significantly decrease throughput ( third generation CFA analyzers average 90 or more samples per hour) and is desirable in that steady state signals (chemical equilibrium) are more accurate and reproducible.

A continuous flow analyzer (CFA) consists of different modules including a sampler, pump, mixing coils, optional sample treatments (dialysis, distillation, heating, etc.), a detector, and data generator. Most continuous flow analyzers depend on color reactions using a flow through photometer, however, also methods have been developed that use ISE, flame photometry, ICAP, fluorometry, and so forth.

Flow injection analysis (FIA), was introduced in 1975 by Ruzicka and Hansen.
Jaromir (Jarda) Ruzicka is a Professor  of Chemistry (Emeritus at the University of Washington and Affiliate at the University of Hawaii), and member of the Danish Academy of Technical Sciences. Born in Prague in 1934, he graduated from the Department of Analytical Chemistry, Facultyof Sciences, Charles University. In 1968, when Soviets occupied Czechoslovakia, he emigrated to Denmark. There, he joined The Technical University of Denmark, where, ten years  later, received a newly created Chair in Analytical Chemistry. When Jarda met Elo Hansen, they invented Flow Injection.

The first generation of FIA technology, termed flow injection (FI), was inspired by the AutoAnalyzer technique invented by Skeggs in early 1950s. While Skeggs’ AutoAnalyzer uses air segmentation to separate a flowing stream into numerous discrete segments to establish a long train of individual samples moving through a flow channel, FIA systems separate each sample from subsequent sample with a carrier reagent. While the AutoAnalyzer mixes sample homogeneously with reagents, in all FIA techniques sample and reagents are merged to form a concentration gradient that yields analysis results

Arthur Karmen.

Dr. Karmen was born in New York City in 1930. He graduated from the Bronx High School of Science in 1946 and earned an A.B. and M.D. in 1950 and 1954, respectively, from New York University. In 1952, while a medical student working on a summer project at Memorial-Sloan Kettering, he used paper chromatography of amino acids to demonstrate the presence of glutamic-oxaloacetic and glutaniic-pyruvic ransaminases (aspartate and alanine aminotransferases) in serum and blood. In 1954, he devised the spectrophotometric method for measuring aspartate aminotransferase in serum, which, with minor modifications, is still used for diagnostic testing today. When developing this assay, he studied the reaction of NADH with serum and demonstrated the presence of lactate and malate dehydrogenases, both of which were also later used in diagnosis. Using the spectrophotometric method, he found that aspartate aminotransferase increased in the period immediately after an acute myocardial infarction and did the pilot studies that showed its diagnostic utility in heart and liver diseases.  This became as important as the EKG. It was replaced in cardiology usage by the MB isoenzyme of creatine kinase, which was driven by Burton Sobel’s work on infarct size, and later by the troponins.

History of Laboratory Medicine at Yale University.

The roots of the Department of Laboratory Medicine at Yale can be traced back to John Peters, the head of what he called the “Chemical Division” of the Department of Internal Medicine, subsequently known as the Section of Metabolism, who co-authored with Donald Van Slyke the landmark 1931 textbook Quantitative Clinical Chemistry (2.3); and to Pauline Hald, research collaborator of Dr. Peters who subsequently served as Director of Clinical Chemistry at Yale-New Haven Hospital for many years. In 1947, Miss Hald reported the very first flame photometric measurements of sodium and potassium in serum (4). This study helped to lay the foundation for modern studies of metabolism and their application to clinical care.

The Laboratory Medicine program at Yale had its inception in 1958 as a section of Internal Medicine under the leadership of David Seligson. In 1965, Laboratory Medicine achieved autonomous section status and in 1971, became a full-fledged academic department. Dr. Seligson, who served as the first Chair, pioneered modern automation and computerized data processing in the clinical laboratory. In particular, he demonstrated the feasibility of discrete sample handling for automation that is now the basis of virtually all automated chemistry analyzers. In addition, Seligson and Zetner demonstrated the first clinical use of atomic absorption spectrophotometry. He was one of the founding members of the major Laboratory Medicine academic society, the Academy of Clinical Laboratory Physicians and Scientists.

Nathan Gochman.  Developer of Automated Chemistries.

Nathan Gochman, PhD, has over 40 years of experience in the clinical diagnostics industry. This includes academic teaching and research, and 30 years in the pharmaceutical and in vitro diagnostics industry. He has managed R & D, technical marketing and technical support departments. As a leader in the industry he was President of the American Association for Clinical Chemistry (AACC) and the National Committee for Clinical Laboratory Standards (NCCLS, now CLSI). He is currently a Consultant to investment firms and IVD companies.

William Sunderman

A doctor and scientist who lived a remarkable century and beyond — making medical advances, playing his Stradivarius violin at Carnegie Hall at 99 and being honored as the nation’s oldest worker at 100.

He developed a method for measuring glucose in the blood, the Sunderman Sugar Tube, and was one of the first doctors to use insulin to bring a patient out of a diabetic coma. He established quality-control techniques for medical laboratories that ended the wide variation in the results of laboratories doing the same tests.

He taught at several medical schools and founded and edited the journal Annals of Clinical and Laboratory Science. In World War II, he was a medical director for the Manhattan Project, which developed the atomic bomb.

Dr. Sunderman was president of the American Society of Clinical Pathologists and a founding governor of the College of American Pathologists. He also helped organize the Association of Clinical Scientists and was its first president.

Yale Department of Laboratory Medicine

The roots of the Department of Laboratory Medicine at Yale can be traced back to John Peters, the head of what he called the “Chemical Division” of the Department of Internal Medicine, subsequently known as the Section of Metabolism, who co-authored with Donald Van Slyke the landmark 1931 textbook Quantitative Clinical Chemistry; and to Pauline Hald, research collaborator of Dr. Peters who subsequently served as Director of Clinical Chemistry at Yale-New Haven Hospital for many years. In 1947, Miss Hald reported the very first flame photometric measurements of sodium and potassium in serum. This study helped to lay the foundation for modern studies of metabolism and their application to clinical care.

The Laboratory Medicine program at Yale had its inception in 1958 as a section of Internal Medicine under the leadership of David Seligson. In 1965, Laboratory Medicine achieved autonomous section status and in 1971, became a full-fledged academic department. Dr. Seligson, who served as the first Chair, pioneered modern automation and computerized data processing in the clinical laboratory. In particular, he demonstrated the feasibility of discrete sample handling for automation that is now the basis of virtually all automated chemistry analyzers. In addition, Seligson and Zetner demonstrated the first clinical use of atomic absorption spectrophotometry. He was one of the founding members of the major Laboratory Medicine academic society, the Academy of Clinical Laboratory Physicians and Scientists.

The discipline of clinical chemistry and the broader field of laboratory medicine, as they are practiced today, are attributed in no small part to Seligson’s vision and creativity.

Born in Philadelphia in 1916, Seligson graduated from University of Maryland and received a D.Sc. from Johns Hopkins University and an M.D. from the University of Utah. In 1953, he served as captain in the U.S. Army, chief of the Hepatic and Metabolic Disease Laboratory at Walter Reed Army Medical Center.

Recruited to Yale and Grace-New Haven Hospital in 1958 from the University of Pennsylvania as professor of internal medicine at the medical school and the first director of clinical laboratories at the hospital, Seligson subsequently established the infrastructure of the Department of Laboratory Medicine, creating divisions of clinical chemistry, microbiology, transfusion medicine (blood banking) and hematology – each with its own strong clinical, teaching and research programs.

Challenging the continuous flow approach, Seligson designed, built and validated “discrete sample handling” instruments wherein each sample was treated independently, which allowed better choice of methods and greater efficiency. Today continuous flow has essentially disappeared and virtually all modern automated clinical laboratory instruments are based upon discrete sample handling technology.

Seligson was one of the early visionaries who recognized the potential for computers in the clinical laboratory. One of the first applications of a digital computer in the clinical laboratory occurred in Seligson’s department at Yale, and shortly thereafter data were being transmitted directly from the laboratory computer to data stations on the patient wards. Now, such laboratory information systems represent the standard of care.

He was also among the first to highlight the clinical importance of test specificity and accuracy, as compared to simple reproducibility. One of his favorite slides was one that showed almost perfectly reproducible results for 10 successive measurements of blood sugar obtained with what was then the most widely used and popular analytical instrument. However, he would note, the answer was wrong; the assay was not accurate.

Seligson established one of the nation’s first residency programs focused on laboratory medicine or clinical pathology, and also developed a teaching curriculum in laboratory medicine for medical students. In so doing, he created a model for the modern practice of laboratory medicine in an academic environment, and his trainees spread throughout the country as leaders in the field.

Ernest Cotlove

Ernest Cotlove’s scientific and medical career started at NYU where, after finishing medicine in 1943, he pursued studies in renal physiology and chemistry. His outstanding ability to acquire knowledge and conduct innovative investigations earned him an invitation from James Shannon, then Director of the National Heart Institute at NIH. He continued studies of renal physiology and chemistry until 1953 when he became Head of Clinical Chemistry Laboratories in the new Department of Clinical Pathology being developed by George Z. Williams during the Clinical Center’s construction. Dr. Cotlove seized the opportunity to design and equip the most advanced and functional clinical chemistry facility in our country.

Dr. Cotlove’s career exemplified the progress seen in medical research and technology. He designed the electronic chloridometer that bears his name, in spite of published reports that such an approach was theoretically impossible. He used this innovative skill to develop new instruments and methods at the Clinical Center. Many recognized him as an expert in clinical chemistry, computer programming, systems design for laboratory operations, and automation of analytical instruments.

Effects of Automation on Laboratory Diagnosis

George Z. Williams

There are four primary effects of laboratory automation on the practice of medicine: The range of laboratory support is being greatly extended to both diagnosis and guidance of therapeutic management; the new feasibility of multiphasic periodic health evaluation promises effective health and manpower conservation in the future; and substantially lowered unit cost for laboratory analysis will permit more extensive use of comprehensive laboratory medicine in everyday practice. There is, however, a real and growing danger of naive acceptance of and overconfidence in the reliability and accuracy of automated analysis and computer processing without critical evaluation. Erroneous results can jeopardize the patient’s welfare. Every physician has the responsibility to obtain proof of accuracy and reliability from the laboratories which serve his patients.

. Mario Werner

Dr. Werner received his medical degree from the University of Zurich, Switzerland in 1956. After specializing in internal medicine at the University Clinic in Basel, he came to the United States–as a fellow of the Swiss Academy of Medical Sciences–to work at NIH and at the Rockefeller University. From 1964 to 1966, he served as chief of the Central Laboratory at the Klinikum Essen, Ruhr-University, Germany. In 1967, he returned to the US, joining the Division of Clinical Pathology and Laboratory Medicine at the University of California, San Francisco, as an assistant professor. Three years later, he became Associate Professor of Pathology and Laboratory Medicine at Washington University in St. Louis, where he was instrumental in establishing the training program in laboratory medicine. In 1972, he was appointed Professor of Pathology at The George Washington University in Washington, DC.

Norbert Tietz

Professor Norbert W. Tietz received the degree of Doctor of Natural Sciences from the Technical University Stuttgart, Germany, in 1950. In 1954 he immigrated to the United States where he subsequently held positions or appointments at several Chicago area institutions including the Mount Sinai Hospital Medical Center, Chicago Medical School/University of Health Sciences and Rush Medical College.

Professor Tietz is best known as the editor of the Fundamentals of Clinical Chemistry. This book, now in its sixth edition, remains a primary information source for both students and educators in laboratory medicine. It was the first modem textbook that integrated clinical chemistry with the basic sciences and pathophysiology.

Throughout his career, Dr. Tietz taught a range of students from the undergraduate through post-graduate level including (1) medical technology students, (2) medical students, (3) clinical chemistry graduate students, (4) pathology residents, and (5) practicing chemists. For example, in the late 1960’s he began the first master’s of science degree program in clinical chemistry in the United States at the Chicago Medical School. This program subsequently evolved into one of the first Ph.D. programs in clinical chemistry.

Automation and other recent developments in clinical chemistry.

Griffiths J.

http://www.ncbi.nlm.nih.gov/pubmed/1344702

The decade 1980 to 1990 was the most progressive period in the short, but
turbulent, history of clinical chemistry. New techniques and the instrumentation
needed to perform assays have opened a chemical Pandora’s box. Multichannel
analyzers, the base spectrophotometric key to automated laboratories, have
become almost perfect. The extended use of the antigen-monoclonal antibody
reaction with increasing sensitive labels has extended analyte detection
routinely into the picomole/liter range. Devices that aid the automation of
serum processing and distribution of specimens are emerging. Laboratory
computerization has significantly matured, permitting better integration of
laboratory instruments, improving communication between laboratory personnel
and the patient’s physician, and facilitating the use of expert systems and
robotics in the chemistry laboratory

Automation and Expert Systems in a Core Clinical Chemistry Laboratory
Streitberg, GT, et al.  JALA 2009;14:94–105

Clinical pathology or laboratory medicine has a great
influence on clinical decisions and 60e70% of the
most important decisions on admission, discharge,
and medication are based on laboratory results.1
As we learn more about clinical laboratory results
and incorporate them in outcome optimization
schemes, the laboratory will play a more pivotal role
in management of patients and the eventual outcomes.
2 It has been stated that the development of
information technology and automation in laboratory
medicine has allowed laboratory professionals
to keep in pace with the growth in workload.

Since the reasons to automate and the impact of automation have
similarities and these include reduction in errors, increase in productivity,
and improvement in safety. Advances in technology in clinical chemistry
that have included total laboratory automation call for changes in job
responsibilities to include skills in information technology, data management,
instrumentation, patient preparation for diagnostic analysis, interpretation
of pathology results, dissemination of knowledge and information to
patients and other health staff, as well as skills in research.

The clinical laboratory has become so productive, particularly in chemistry and immunology, and the labor, instrument and reagent costs are well determined, that today a physician’s medical decisions are 80% determined by the clinical laboratory.  Medical information systems have lagged far behind.  Why is that?  Because the decision for a MIS has historical been based on billing capture.  Moreover, the historical use of chemical profiles were quite good at validating healthy dtatus in an outpatient population, but the profiles became restricted under Diagnostic Related Groups.    Thus, it came to be that the diagnostics was considered a “commodity”.  In order to be competitive, a laboratory had to provide “high complexity” tests that were drawn in by a large volume of “moderate complexity” tests.

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AGENDA – ICI Conference – Innovation in Cardiovascular Interventions – December 14-16, at the David InterContinental Hotel, Tel Aviv, Israel

Reporter: Aviva Lev-Ari, PhD, RN

 

1. ICI Scientific Program

ICI2014 speakers are some of the leading figures in the field. The preliminary list can be viewed at the ICI website.

ICI2014 will hold for the second time the “Wall to Wall Session – From the Great Wall of China to the Jerusalem Wall”. Click here for a glance at the 2013 program endorsed by Yanping Gao, the Chinese Ambassador in Israel.

Attendees will:

 Be exposed to promising research and new therapies in various phases of development.

 Learn from live case presentations on the impact of emerging technologies on current and future therapies.

 Gain insights from international experts speaking on important clinical topics—with an emphasis on future perspectives.

2. ICI Exhibition

The heart of the ICI Meeting is the strong International collaboration between Medicine and Industry. With an emphasis on technological developments, novel knowledge-rich technologies, and the diligent pursuit of solutions to yet unsolved problems in heart, brain and cardiovascular medicine, the ICI meeting features a State-of-the-Art Exhibition and Innovative Technology Parade.

Since 1995, the ICI exhibition is rapidly growing with more than 90 international exhibitors and sponsors, including the strongest players in the market alongside cutting edge innovative startups. ICI Exhibition is the perfect opportunity to connect and interact with the people that can affect the future of this field.

3. ICI Technology Parade

Focused on innovation, ICI provides an extensive platform for startup companies presenting their latest technologies. The Technology Parade can be a springboard for new companies with bright and creative new ideas. This is the perfect opportunity to help your business move “from idea to reality”. The Technology Parade Sessions enjoy a tremendous success in every meeting, attracting a wide variety of leading clinicians, scientists and corporate representatives. The wide spectrum of investors who will be in attendance will find the ICI Meeting a valuable forum for exposure to the development and advancement of innovative ideas in cardiology.

The ICI meeting is a tremendous opportunity to review the most innovative startups in the field of medical devices and meet in person at the B2B area. This event can be your chance to look into the latest most prominent investments opportunity. 

SOURCE

http://2014.icimeeting.com/

Conference PROGRAM

http://2014.icimeeting.com/ici-2014-program/

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Metabolomics Summary and Perspective

Metabolomics Summary and Perspective

Author and Curator: Larry H Bernstein, MD, FCAP 

 

This is the final article in a robust series on metabolism, metabolomics, and  the “-OMICS-“ biological synthesis that is creating a more holistic and interoperable view of natural sciences, including the biological disciplines, climate science, physics, chemistry, toxicology, pharmacology, and pathophysiology with as yet unforeseen consequences.

There have been impressive advances already in the research into developmental biology, plant sciences, microbiology, mycology, and human diseases, most notably, cancer, metabolic , and infectious, as well as neurodegenerative diseases.

Acknowledgements:

I write this article in honor of my first mentor, Harry Maisel, Professor and Emeritus Chairman of Anatomy, Wayne State University, Detroit, MI and to my stimulating mentors, students, fellows, and associates over many years:

Masahiro Chiga, MD, PhD, Averill A Liebow, MD, Nathan O Kaplan, PhD, Johannes Everse, PhD, Norio Shioura, PhD, Abraham Braude, MD, Percy J Russell, PhD, Debby Peters, Walter D Foster, PhD, Herschel Sidransky, MD, Sherman Bloom, MD, Matthew Grisham, PhD, Christos Tsokos, PhD,  IJ Good, PhD, Distinguished Professor, Raool Banagale, MD, Gustavo Reynoso, MD,Gustave Davis, MD, Marguerite M Pinto, MD, Walter Pleban, MD, Marion Feietelson-Winkler, RD, PhD,  John Adan,MD, Joseph Babb, MD, Stuart Zarich, MD,  Inder Mayall, MD, A Qamar, MD, Yves Ingenbleek, MD, PhD, Emeritus Professor, Bette Seamonds, PhD, Larry Kaplan, PhD, Pauline Y Lau, PhD, Gil David, PhD, Ronald Coifman, PhD, Emeritus Professor, Linda Brugler, RD, MBA, James Rucinski, MD, Gitta Pancer, Ester Engelman, Farhana Hoque, Mohammed Alam, Michael Zions, William Fleischman, MD, Salman Haq, MD, Jerard Kneifati-Hayek, Madeleine Schleffer, John F Heitner, MD, Arun Devakonda,MD, Liziamma George,MD, Suhail Raoof, MD, Charles Oribabor,MD, Anthony Tortolani, MD, Prof and Chairman, JRDS Rosalino, PhD, Aviva Lev Ari, PhD, RN, Rosser Rudolph, MD, PhD, Eugene Rypka, PhD, Jay Magidson, PhD, Izaak Mayzlin, PhD, Maurice Bernstein, PhD, Richard Bing, Eli Kaplan, PhD, Maurice Bernstein, PhD.

This article has EIGHT parts, as follows:

Part 1

Metabolomics Continues Auspicious Climb

Part 2

Biologists Find ‘Missing Link’ in the Production of Protein Factories in Cells

Part 3

Neuroscience

Part 4

Cancer Research

Part 5

Metabolic Syndrome

Part 6

Biomarkers

Part 7

Epigenetics and Drug Metabolism

Part 8

Pictorial

genome cartoon

genome cartoon

 iron metabolism

iron metabolism

personalized reference range within population range

personalized reference range within population range

Part 1.  MetabolomicsSurge

metagraph  _OMICS

metagraph _OMICS

Metabolomics Continues Auspicious Climb

Jeffery Herman, Ph.D.
GEN May 1, 2012 (Vol. 32, No. 9)

Aberrant biochemical and metabolite signaling plays an important role in

  • the development and progression of diseased tissue.

This concept has been studied by the science community for decades. However, with relatively

  1. recent advances in analytical technology and bioinformatics as well as
  2. the development of the Human Metabolome Database (HMDB),

metabolomics has become an invaluable field of research.

At the “International Conference and Exhibition on Metabolomics & Systems Biology” held recently in San Francisco, researchers and industry leaders discussed how

  • the underlying cellular biochemical/metabolite fingerprint in response to
  1. a specific disease state,
  2. toxin exposure, or
  3. pharmaceutical compound
  • is useful in clinical diagnosis and biomarker discovery and
  • in understanding disease development and progression.

Developed by BASF, MetaMap® Tox is

  • a database that helps identify in vivo systemic effects of a tested compound, including
  1. targeted organs,
  2. mechanism of action, and
  3. adverse events.

Based on 28-day systemic rat toxicity studies, MetaMap Tox is composed of

  • differential plasma metabolite profiles of rats
  • after exposure to a large variety of chemical toxins and pharmaceutical compounds.

“Using the reference data,

  • we have developed more than 110 patterns of metabolite changes, which are
  • specific and predictive for certain toxicological modes of action,”

said Hennicke Kamp, Ph.D., group leader, department of experimental toxicology and ecology at BASF.

With MetaMap Tox, a potential drug candidate

  • can be compared to a similar reference compound
  • using statistical correlation algorithms,
  • which allow for the creation of a toxicity and mechanism of action profile.

“MetaMap Tox, in the context of early pre-clinical safety enablement in pharmaceutical development,” continued Dr. Kamp,

  • has been independently validated “
  • by an industry consortium (Drug Safety Executive Council) of 12 leading biopharmaceutical companies.”

Dr. Kamp added that this technology may prove invaluable

  • allowing for quick and accurate decisions and
  • for high-throughput drug candidate screening, in evaluation
  1. on the safety and efficacy of compounds
  2. during early and preclinical toxicological studies,
  3. by comparing a lead compound to a variety of molecular derivatives, and
  • the rapid identification of the most optimal molecular structure
  • with the best efficacy and safety profiles might be streamlined.
Dynamic Construct of the –Omics

Dynamic Construct of the –Omics

Targeted Tandem Mass Spectrometry

Biocrates Life Sciences focuses on targeted metabolomics, an important approach for

  • the accurate quantification of known metabolites within a biological sample.

Originally used for the clinical screening of inherent metabolic disorders from dried blood-spots of newborn children, Biocrates has developed

  • a tandem mass spectrometry (MS/MS) platform, which allows for
  1. the identification,
  2. quantification, and
  3. mapping of more than 800 metabolites to specific cellular pathways.

It is based on flow injection analysis and high-performance liquid chromatography MS/MS.

Clarification of Pathway-Specific Inhibition by Fourier Transform Ion Cyclotron Resonance.Mass Spectrometry-Based Metabolic Phenotyping Studies F5.large

common drug targets

common drug targets

The MetaDisIDQ® Kit is a

  • “multiparamatic” diagnostic assay designed for the “comprehensive assessment of a person’s metabolic state” and
  • the early determination of pathophysiological events with regards to a specific disease.

MetaDisIDQ is designed to quantify

  • a diverse range of 181 metabolites involved in major metabolic pathways
  • from a small amount of human serum (10 µL) using isotopically labeled internal standards,

This kit has been demonstrated to detect changes in metabolites that are commonly associated with the development of

  • metabolic syndrome, type 2 diabetes, and diabetic nephropathy,

Dr. Dallman reports that data generated with the MetaDisIDQ kit correlates strongly with

  • routine chemical analyses of common metabolites including glucose and creatinine

Biocrates has also developed the MS/MS-based AbsoluteIDQ® kits, which are

  • an “easy-to-use” biomarker analysis tool for laboratory research.

The kit functions on MS machines from a variety of vendors, and allows for the quantification of 150-180 metabolites.

The SteroIDQ® kit is a high-throughput standardized MS/MS diagnostic assay,

  • validated in human serum, for the rapid and accurate clinical determination of 16 known steroids.

Initially focusing on the analysis of steroid ranges for use in hormone replacement therapy, the SteroIDQ Kit is expected to have a wide clinical application.

Hormone-Resistant Breast Cancer

Scientists at Georgetown University have shown that

  • breast cancer cells can functionally coordinate cell-survival and cell-proliferation mechanisms,
  • while maintaining a certain degree of cellular metabolism.

To grow, cells need energy, and energy is a product of cellular metabolism. For nearly a century, it was thought that

  1. the uncoupling of glycolysis from the mitochondria,
  2. leading to the inefficient but rapid metabolism of glucose and
  3. the formation of lactic acid (the Warburg effect), was

the major and only metabolism driving force for unchecked proliferation and tumorigenesis of cancer cells.

Other aspects of metabolism were often overlooked.

“.. we understand now that

  • cellular metabolism is a lot more than just metabolizing glucose,”

said Robert Clarke, Ph.D., professor of oncology and physiology and biophysics at Georgetown University. Dr. Clarke, in collaboration with the Waters Center for Innovation at Georgetown University (led by Albert J. Fornace, Jr., M.D.), obtained

  • the metabolomic profile of hormone-sensitive and -resistant breast cancer cells through the use of UPLC-MS.

They demonstrated that breast cancer cells, through a rather complex and not yet completely understood process,

  1. can functionally coordinate cell-survival and cell-proliferation mechanisms,
  2. while maintaining a certain degree of cellular metabolism.

This is at least partly accomplished through the upregulation of important pro-survival mechanisms; including

  • the unfolded protein response;
  • a regulator of endoplasmic reticulum stress and
  • initiator of autophagy.

Normally, during a stressful situation, a cell may

  • enter a state of quiescence and undergo autophagy,
  • a process by which a cell can recycle organelles
  • in order to maintain enough energy to survive during a stressful situation or,

if the stress is too great,

  • undergo apoptosis.

By integrating cell-survival mechanisms and cellular metabolism

  • advanced ER+ hormone-resistant breast cancer cells
  • can maintain a low level of autophagy
  • to adapt and resist hormone/chemotherapy treatment.

This adaptation allows cells

  • to reallocate important metabolites recovered from organelle degradation and
  • provide enough energy to also promote proliferation.

With further research, we can gain a better understanding of the underlying causes of hormone-resistant breast cancer, with

  • the overall goal of developing effective diagnostic, prognostic, and therapeutic tools.

NMR

Over the last two decades, NMR has established itself as a major tool for metabolomics analysis. It is especially adept at testing biological fluids. [Bruker BioSpin]

Historically, nuclear magnetic resonance spectroscopy (NMR) has been used for structural elucidation of pure molecular compounds. However, in the last two decades, NMR has established itself as a major tool for metabolomics analysis. Since

  • the integral of an NMR signal is directly proportional to
  • the molar concentration throughout the dynamic range of a sample,

“the simultaneous quantification of compounds is possible

  • without the need for specific reference standards or calibration curves,” according to Lea Heintz of Bruker BioSpin.

NMR is adept at testing biological fluids because of

  1.  high reproducibility,
  2. standardized protocols,
  3. low sample manipulation, and
  4. the production of a large subset of data,

Bruker BioSpin is presently involved in a project for the screening of inborn errors of metabolism in newborn children from Turkey, based on their urine NMR profiles. More than 20 clinics are participating to the project that is coordinated by INFAI, a specialist in the transfer of advanced analytical technology into medical diagnostics. The construction of statistical models are being developed

  • for the detection of deviations from normality, as well as
  • automatic quantification methods for indicative metabolites

Bruker BioSpin recently installed high-resolution magic angle spinning NMR (HRMAS-NMR) systems that can rapidly analyze tissue biopsies. The main objective for HRMAS-NMR is to establish a rapid and effective clinical method to assess tumor grade and other important aspects of cancer during surgery.

Combined NMR and Mass Spec

There is increasing interest in combining NMR and MS, two of the main analytical assays in metabolomic research, as a means

  • to improve data sensitivity and to
  • fully elucidate the complex metabolome within a given biological sample.
  •  to realize a potential for cancer biomarker discovery in the realms of diagnosis, prognosis, and treatment.

.

Using combined NMR and MS to measure the levels of nearly 250 separate metabolites in the patient’s blood, Dr. Weljie and other researchers at the University of Calgary were able to rapidly determine the malignancy of a  pancreatic lesion (in 10–15% of the cases, it is difficult to discern between benign and malignant), while avoiding unnecessary surgery in patients with benign lesions.

When performing NMR and MS on a single biological fluid, ultimately “we are,” noted Dr. Weljie,

  1. “splitting up information content, processing, and introducing a lot of background noise and error and
  2. then trying to reintegrate the data…
    It’s like taking a complex item, with multiple pieces, out of an IKEA box and trying to repackage it perfectly into another box.”

By improving the workflow between the initial splitting of the sample, they improved endpoint data integration, proving that

  • a streamlined approach to combined NMR/MS can be achieved,
  • leading to a very strong, robust and precise metabolomics toolset.

Metabolomics Research Picks Up Speed

Field Advances in Quest to Improve Disease Diagnosis and Predict Drug Response

John Morrow Jr., Ph.D.
GEN May 1, 2011 (Vol. 31, No. 9)

As an important discipline within systems biology, metabolomics is being explored by a number of laboratories for

  • its potential in pharmaceutical development.

Studying metabolites can offer insights into the relationships between genotype and phenotype, as well as between genotype and environment. In addition, there is plenty to work with—there are estimated to be some 2,900 detectable metabolites in the human body, of which

  1. 309 have been identified in cerebrospinal fluid,
  2. 1,122 in serum,
  3. 458 in urine, and
  4. roughly 300 in other compartments.

Guowang Xu, Ph.D., a researcher at the Dalian Institute of Chemical Physics.  is investigating the causes of death in China,

  • and how they have been changing over the years as the country has become a more industrialized nation.
  •  the increase in the incidence of metabolic disorders such as diabetes has grown to affect 9.7% of the Chinese population.

Dr. Xu,  collaborating with Rainer Lehman, Ph.D., of the University of Tübingen, Germany, compared urinary metabolites in samples from healthy individuals with samples taken from prediabetic, insulin-resistant subjects. Using mass spectrometry coupled with electrospray ionization in the positive mode, they observed striking dissimilarities in levels of various metabolites in the two groups.

“When we performed a comprehensive two-dimensional gas chromatography, time-of-flight mass spectrometry analysis of our samples, we observed several metabolites, including

  • 2-hydroxybutyric acid in plasma,
  •  as potential diabetes biomarkers,” Dr. Xu explains.

In other, unrelated studies, Dr. Xu and the German researchers used a metabolomics approach to investigate the changes in plasma metabolite profiles immediately after exercise and following a 3-hour and 24-hour period of recovery. They found that

  • medium-chain acylcarnitines were the most distinctive exercise biomarkers, and
  • they are released as intermediates of partial beta oxidation in human myotubes and mouse muscle tissue.

Dr. Xu says. “The traditional approach of assessment based on a singular biomarker is being superseded by the introduction of multiple marker profiles.”

Typical of the studies under way by Dr. Kaddurah-Daouk and her colleaguesat Duke University

  • is a recently published investigation highlighting the role of an SNP variant in
  • the glycine dehydrogenase gene on individual response to antidepressants.
  •  patients who do not respond to the selective serotonin uptake inhibitors citalopram and escitalopram
  • carried a particular single nucleotide polymorphism in the GD gene.

“These results allow us to pinpoint a possible

  • role for glycine in selective serotonin reuptake inhibitor response and
  • illustrate the use of pharmacometabolomics to inform pharmacogenomics.

These discoveries give us the tools for prognostics and diagnostics so that

  • we can predict what conditions will respond to treatment.

“This approach to defining health or disease in terms of metabolic states opens a whole new paradigm.

By screening hundreds of thousands of molecules, we can understand

  • the relationship between human genetic variability and the metabolome.”

Dr. Kaddurah-Daouk talks about statins as a current

  • model of metabolomics investigations.

It is now known that the statins  have widespread effects, altering a range of metabolites. To sort out these changes and develop recommendations for which individuals should be receiving statins will require substantial investments of energy and resources into defining the complex web of biochemical changes that these drugs initiate.
Furthermore, Dr. Kaddurah-Daouk asserts that,

  • “genetics only encodes part of the phenotypic response.

One needs to take into account the

  • net environment contribution in order to determine
  • how both factors guide the changes in our metabolic state that determine the phenotype.”

Interactive Metabolomics

Researchers at the University of Nottingham use diffusion-edited nuclear magnetic resonance spectroscopy to assess the effects of a biological matrix on metabolites. Diffusion-edited NMR experiments provide a way to

  • separate the different compounds in a mixture
  • based on the differing translational diffusion coefficients (which reflect the size and shape of the molecule).

The measurements are carried out by observing

  • the attenuation of the NMR signals during a pulsed field gradient experiment.

Clare Daykin, Ph.D., is a lecturer at the University of Nottingham, U.K. Her field of investigation encompasses “interactive metabolomics,”which she defines as

“the study of the interactions between low molecular weight biochemicals and macromolecules in biological samples ..

  • without preselection of the components of interest.

“Blood plasma is a heterogeneous mixture of molecules that

  1. undergo a variety of interactions including metal complexation,
  2. chemical exchange processes,
  3. micellar compartmentation,
  4. enzyme-mediated biotransformations, and
  5. small molecule–macromolecular binding.”

Many low molecular weight compounds can exist

  • freely in solution,
  • bound to proteins, or
  • within organized aggregates such as lipoprotein complexes.

Therefore, quantitative comparison of plasma composition from

  • diseased individuals compared to matched controls provides an incomplete insight to plasma metabolism.

“It is not simply the concentrations of metabolites that must be investigated,

  • but their interactions with the proteins and lipoproteins within this complex web.

Rather than targeting specific metabolites of interest, Dr. Daykin’s metabolite–protein binding studies aim to study

  • the interactions of all detectable metabolites within the macromolecular sample.

Such activities can be studied through the use of diffusion-edited nuclear magnetic resonance (NMR) spectroscopy, in which one can assess

  • the effects of the biological matrix on the metabolites.

“This can lead to a more relevant and exact interpretation

  • for systems where metabolite–macromolecule interactions occur.”

Diffusion-edited NMR experiments provide a way to separate the different compounds in a mixture based on

  • the differing translational diffusion coefficients (which reflect the size and shape of the molecule).

The measurements are carried out by observing

  • the attenuation of the NMR signals during a pulsed field gradient experiment.

Pushing the Limits

It is widely recognized that many drug candidates fail during development due to ancillary toxicity. Uwe Sauer, Ph.D., professor, and Nicola Zamboni, Ph.D., researcher, both at the Eidgenössische Technische Hochschule, Zürich (ETH Zürich), are applying

  • high-throughput intracellular metabolomics to understand
  • the basis of these unfortunate events and
  • head them off early in the course of drug discovery.

“Since metabolism is at the core of drug toxicity, we developed a platform for

  • measurement of 50–100 targeted metabolites by
  • a high-throughput system consisting of flow injection
  • coupled to tandem mass spectrometry.”

Using this approach, Dr. Sauer’s team focused on

  • the central metabolism of the yeast Saccharomyces cerevisiae, reasoning that
  • this core network would be most susceptible to potential drug toxicity.

Screening approximately 41 drugs that were administered at seven concentrations over three orders of magnitude, they observed changes in metabolome patterns at much lower drug concentrations without attendant physiological toxicity.

The group carried out statistical modeling of about

  • 60 metabolite profiles for each drug they evaluated.

This data allowed the construction of a “profile effect map” in which

  • the influence of each drug on metabolite levels can be followed, including off-target effects, which
  • provide an indirect measure of the possible side effects of the various drugs.

Dr. Sauer says.“We have found that this approach is

  • at least 100 times as fast as other omics screening platforms,”

“Some drugs, including many anticancer agents,

  • disrupt metabolism long before affecting growth.”
killing cancer cells

killing cancer cells

Furthermore, they used the principle of 13C-based flux analysis, in which

  • metabolites labeled with 13C are used to follow the utilization of metabolic pathways in the cell.

These 13C-determined intracellular responses of metabolic fluxes to drug treatment demonstrate

  • the functional performance of the network to be rather robust,
conformational changes leading to substrate efflux.

conformational changes leading to substrate efflux.

leading Dr. Sauer to the conclusion that

  • the phenotypic vigor he observes to drug challenges
  • is achieved by a flexible make up of the metabolome.

Dr. Sauer is confident that it will be possible to expand the scope of these investigations to hundreds of thousands of samples per study. This will allow answers to the questions of

  • how cells establish a stable functioning network in the face of inevitable concentration fluctuations.

Is Now the Hour?

There is great enthusiasm and agitation within the biotech community for

  • metabolomics approaches as a means of reversing the dismal record of drug discovery

that has accumulated in the last decade.

While the concept clearly makes sense and is being widely applied today, there are many reasons why drugs fail in development, and metabolomics will not be a panacea for resolving all of these questions. It is too early at this point to recognize a trend or a track record, and it will take some time to see how this approach can aid in drug discovery and shorten the timeline for the introduction of new pharmaceutical agents.

Degree of binding correlated with function

Degree of binding correlated with function

Diagram_of_a_two-photon_excitation_microscope_

Diagram_of_a_two-photon_excitation_microscope_

Part 2.  Biologists Find ‘Missing Link’ in the Production of Protein Factories in Cells

Biologists at UC San Diego have found

  • the “missing link” in the chemical system that
  • enables animal cells to produce ribosomes

—the thousands of protein “factories” contained within each cell that

  • manufacture all of the proteins needed to build tissue and sustain life.
‘Missing Link’

‘Missing Link’

Their discovery, detailed in the June 23 issue of the journal Genes & Development, will not only force

  • a revision of basic textbooks on molecular biology, but also
  • provide scientists with a better understanding of
  • how to limit uncontrolled cell growth, such as cancer,
  • that might be regulated by controlling the output of ribosomes.

Ribosomes are responsible for the production of the wide variety of proteins that include

  1. enzymes;
  2. structural molecules, such as hair,
  3. skin and bones;
  4. hormones like insulin; and
  5. components of our immune system such as antibodies.

Regarded as life’s most important molecular machine, ribosomes have been intensively studied by scientists (the 2009 Nobel Prize in Chemistry, for example, was awarded for studies of its structure and function). But until now researchers had not uncovered all of the details of how the proteins that are used to construct ribosomes are themselves produced.

In multicellular animals such as humans,

  • ribosomes are made up of about 80 different proteins
    (humans have 79 while some other animals have a slightly different number) as well as
  • four different kinds of RNA molecules.

In 1969, scientists discovered that

  • the synthesis of the ribosomal RNAs is carried out by specialized systems using two key enzymes:
  • RNA polymerase I and RNA polymerase III.

But until now, scientists were unsure if a complementary system was also responsible for

  • the production of the 80 proteins that make up the ribosome.

That’s essentially what the UC San Diego researchers headed by Jim Kadonaga, a professor of biology, set out to examine. What they found was the missing link—the specialized

  • system that allows ribosomal proteins themselves to be synthesized by the cell.

Kadonaga says that he and coworkers found that ribosomal proteins are synthesized via

  • a novel regulatory system with the enzyme RNA polymerase II and
  • a factor termed TRF2,”

“For the production of most proteins,

  1. RNA polymerase II functions with
  2. a factor termed TBP,
  3. but for the synthesis of ribosomal proteins, it uses TRF2.”
  •  this specialized TRF2-based system for ribosome biogenesis
  • provides a new avenue for the study of ribosomes and
  • its control of cell growth, and

“it should lead to a better understanding and potential treatment of diseases such as cancer.”

Coordination of the transcriptome and metabolome

Coordination of the transcriptome and metabolome

the potential advantages conferred by distal-site protein synthesis

the potential advantages conferred by distal-site protein synthesis

Other authors of the paper were UC San Diego biologists Yuan-Liang Wang, Sascha Duttke and George Kassavetis, and Kai Chen, Jeff Johnston, and Julia Zeitlinger of the Stowers Institute for Medical Research in Kansas City, Missouri. Their research was supported by two grants from the National Institutes of Health (1DP2OD004561-01 and R01 GM041249).

Turning Off a Powerful Cancer Protein

Scientists have discovered how to shut down a master regulatory transcription factor that is

  • key to the survival of a majority of aggressive lymphomas,
  • which arise from the B cells of the immune system.

The protein, Bcl6, has long been considered too complex to target with a drug since it is also crucial

  • to the healthy functioning of many immune cells in the body, not just B cells gone bad.

The researchers at Weill Cornell Medical College report that it is possible

  • to shut down Bcl6 in diffuse large B-cell lymphoma (DLBCL)
  • while not affecting its vital function in T cells and macrophages
  • that are needed to support a healthy immune system.

If Bcl6 is completely inhibited, patients might suffer from systemic inflammation and atherosclerosis. The team conducted this new study to help clarify possible risks, as well as to understand

  • how Bcl6 controls the various aspects of the immune system.

The findings in this study were inspired from

  • preclinical testing of two Bcl6-targeting agents that Dr. Melnick and his Weill Cornell colleagues have developed
  • to treat DLBCLs.

These experimental drugs are

  • RI-BPI, a peptide mimic, and
  • the small molecule agent 79-6.

“This means the drugs we have developed against Bcl6 are more likely to be

  • significantly less toxic and safer for patients with this cancer than we realized,”

says Ari Melnick, M.D., professor of hematology/oncology and a hematologist-oncologist at NewYork-Presbyterian Hospital/Weill Cornell Medical Center.

Dr. Melnick says the discovery that

  • a master regulatory transcription factor can be targeted
  • offers implications beyond just treating DLBCL.

Recent studies from Dr. Melnick and others have revealed that

  • Bcl6 plays a key role in the most aggressive forms of acute leukemia, as well as certain solid tumors.

Bcl6 can control the type of immune cell that develops in the bone marrow—playing many roles

  • in the development of B cells, T cells, macrophages, and other cells—including a primary and essential role in
  • enabling B-cells to generate specific antibodies against pathogens.

According to Dr. Melnick, “When cells lose control of Bcl6,

  • lymphomas develop in the immune system.

Lymphomas are ‘addicted’ to Bcl6, and therefore

  • Bcl6 inhibitors powerfully and quickly destroy lymphoma cells,” .

The big surprise in the current study is that rather than functioning as a single molecular machine,

  • Bcl6 functions like a Swiss Army knife,
  • using different tools to control different cell types.

This multifunction paradigm could represent a general model for the functioning of other master regulatory transcription factors.

“In this analogy, the Swiss Army knife, or transcription factor, keeps most of its tools folded,

  • opening only the one it needs in any given cell type,”

He makes the following analogy:

  • “For B cells, it might open and use the knife tool;
  • for T cells, the cork screw;
  • for macrophages, the scissors.”

“this means that you only need to prevent the master regulator from using certain tools to treat cancer. You don’t need to eliminate the whole knife,” . “In fact, we show that taking out the whole knife is harmful since

  • the transcription factor has many other vital functions that other cells in the body need.”

Prior to these study results, it was not known that a master regulator could separate its functions so precisely. Researchers hope this will be a major benefit to the treatment of DLBCL and perhaps other disorders that are influenced by Bcl6 and other master regulatory transcription factors.

The study is published in the journal Nature Immunology, in a paper titled “Lineage-specific functions of Bcl-6 in immunity and inflammation are mediated by distinct biochemical mechanisms”.

Part 3. Neuroscience

Vesicles influence function of nerve cells 
Oct, 06 2014        source: http://feeds.sciencedaily.com

Neurons (blue) which have absorbed exosomes (green) have increased levels of the enzyme catalase (red), which helps protect them against peroxides.

Neurons (blue) which have absorbed exosomes (green) have increased levels of the enzyme catalase (red), which helps protect them against peroxides.

Neurons (blue) which have absorbed exosomes (green) have increased levels of the enzyme catalase (red), which helps protect them against peroxides.

Tiny vesicles containing protective substances

  • which they transmit to nerve cells apparently
  • play an important role in the functioning of neurons.

As cell biologists at Johannes Gutenberg University Mainz (JGU) have discovered,

  • nerve cells can enlist the aid of mini-vesicles of neighboring glial cells
  • to defend themselves against stress and other potentially detrimental factors.

These vesicles, called exosomes, appear to stimulate the neurons on various levels:

  • they influence electrical stimulus conduction,
  • biochemical signal transfer, and
  • gene regulation.

Exosomes are thus multifunctional signal emitters

  • that can have a significant effect in the brain.
Exosome

Exosome

The researchers in Mainz already observed in a previous study that

  • oligodendrocytes release exosomes on exposure to neuronal stimuli.
  • these are absorbed by the neurons and improve neuronal stress tolerance.

Oligodendrocytes, a type of glial cell, form an

  • insulating myelin sheath around the axons of neurons.

The exosomes transport protective proteins such as

  • heat shock proteins,
  • glycolytic enzymes, and
  • enzymes that reduce oxidative stress from one cell type to another,
  • but also transmit genetic information in the form of ribonucleic acids.

“As we have now discovered in cell cultures, exosomes seem to have a whole range of functions,” explained Dr. Eva-Maria Krmer-Albers. By means of their transmission activity, the small bubbles that are the vesicles

  • not only promote electrical activity in the nerve cells, but also
  • influence them on the biochemical and gene regulatory level.

“The extent of activities of the exosomes is impressive,” added Krmer-Albers. The researchers hope that the understanding of these processes will contribute to the development of new strategies for the treatment of neuronal diseases. Their next aim is to uncover how vesicles actually function in the brains of living organisms.

http://labroots.com/user/news/article/id/217438/title/vesicles-influence-function-of-nerve-cells

The above story is based on materials provided by Universitt Mainz.

Universitt Mainz. “Vesicles influence function of nerve cells.” ScienceDaily. ScienceDaily, 6 October 2014. www.sciencedaily.com/releases/2014/10/141006174214.htm

Neuroscientists use snail research to help explain “chemo brain”

10/08/2014
It is estimated that as many as half of patients taking cancer drugs experience a decrease in mental sharpness. While there have been many theories, what causes “chemo brain” has eluded scientists.

In an effort to solve this mystery, neuroscientists at The University of Texas Health Science Center at Houston (UTHealth) conducted an experiment in an animal memory model and their results point to a possible explanation. Findings appeared in The Journal of Neuroscience.

In the study involving a sea snail that shares many of the same memory mechanisms as humans and a drug used to treat a variety of cancers, the scientists identified

  • memory mechanisms blocked by the drug.

Then, they were able to counteract or

  • unblock the mechanisms by administering another agent.

“Our research has implications in the care of people given to cognitive deficits following drug treatment for cancer,” said John H. “Jack” Byrne, Ph.D., senior author, holder of the June and Virgil Waggoner Chair and Chairman of the Department of Neurobiology and Anatomy at the UTHealth Medical School. “There is no satisfactory treatment at this time.”

Byrne’s laboratory is known for its use of a large snail called Aplysia californica to further the understanding of the biochemical signaling among nerve cells (neurons).  The snails have large neurons that relay information much like those in humans.

When Byrne’s team compared cell cultures taken from normal snails to

  • those administered a dose of a cancer drug called doxorubicin,

the investigators pinpointed a neuronal pathway

  • that was no longer passing along information properly.

With the aid of an experimental drug,

  • the scientists were able to reopen the pathway.

Unfortunately, this drug would not be appropriate for humans, Byrne said. “We want to identify other drugs that can rescue these memory mechanisms,” he added.

According the American Cancer Society, some of the distressing mental changes cancer patients experience may last a short time or go on for years.

Byrne’s UT Health research team includes co-lead authors Rong-Yu Liu, Ph.D., and Yili Zhang, Ph.D., as well as Brittany Coughlin and Leonard J. Cleary, Ph.D. All are affiliated with the W.M. Keck Center for the Neurobiology of Learning and Memory.

Byrne and Cleary also are on the faculty of The University of Texas Graduate School of Biomedical Sciences at Houston. Coughlin is a student at the school, which is jointly operated by UT Health and The University of Texas MD Anderson Cancer Center.

The study titled “Doxorubicin Attenuates Serotonin-Induced Long-Term Synaptic Facilitation by Phosphorylation of p38 Mitogen-Activated Protein Kinase” received support from National Institutes of Health grant (NS019895) and the Zilkha Family Discovery Fellowship.

Doxorubicin Attenuates Serotonin-Induced Long-Term Synaptic Facilitation by Phosphorylation of p38 Mitogen-Activated Protein Kinase

Source: Univ. of Texas Health Science Center at Houston

http://www.rdmag.com/news/2014/10/neuroscientists-use-snail-research-help-explain-E2_9_Cchemo-brain

Doxorubicin Attenuates Serotonin-Induced Long-Term Synaptic Facilitation by Phosphorylation of p38 Mitogen-Activated Protein Kinase

Rong-Yu Liu*,  Yili Zhang*,  Brittany L. Coughlin,  Leonard J. Cleary, and  John H. Byrne   +Show Affiliations
The Journal of Neuroscience, 1 Oct 2014, 34(40): 13289-13300;
http://dx.doi.org:/10.1523/JNEUROSCI.0538-14.2014

Doxorubicin (DOX) is an anthracycline used widely for cancer chemotherapy. Its primary mode of action appears to be

  • topoisomerase II inhibition, DNA cleavage, and free radical generation.

However, in non-neuronal cells, DOX also inhibits the expression of

  • dual-specificity phosphatases (also referred to as MAPK phosphatases) and thereby
  1. inhibits the dephosphorylation of extracellular signal-regulated kinase (ERK) and
  2. p38 mitogen-activated protein kinase (p38 MAPK),
  3. two MAPK isoforms important for long-term memory (LTM) formation.

Activation of these kinases by DOX in neurons, if present,

  • could have secondary effects on cognitive functions, such as learning and memory.

The present study used cultures of rat cortical neurons and sensory neurons (SNs) of Aplysia

  • to examine the effects of DOX on levels of phosphorylated ERK (pERK) and
  • phosphorylated p38 (p-p38) MAPK.

In addition, Aplysia neurons were used to examine the effects of DOX on

  • long-term enhanced excitability, long-term synaptic facilitation (LTF), and
  • long-term synaptic depression (LTD).

DOX treatment led to elevated levels of

  • pERK and p-p38 MAPK in SNs and cortical neurons.

In addition, it increased phosphorylation of

  • the downstream transcriptional repressor cAMP response element-binding protein 2 in SNs.

DOX treatment blocked serotonin-induced LTF and enhanced LTD induced by the neuropeptide Phe-Met-Arg-Phe-NH2. The block of LTF appeared to be attributable to

  • overriding inhibitory effects of p-p38 MAPK, because
  • LTF was rescued in the presence of an inhibitor of p38 MAPK
    (SB203580 [4-(4-fluorophenyl)-2-(4-methylsulfinylphenyl)-5-(4-pyridyl)-1H-imidazole]) .

These results suggest that acute application of DOX might impair the formation of LTM via the p38 MAPK pathway.
Terms: Aplysia chemotherapy ERK  p38 MAPK serotonin synaptic plasticity

Technology that controls brain cells with radio waves earns early BRAIN grant

10/08/2014

bright spots = cells with increased calcium after treatment with radio waves,  allows neurons to fire

bright spots = cells with increased calcium after treatment with radio waves, allows neurons to fire

BRAIN control: The new technology uses radio waves to activate or silence cells remotely. The bright spots above represent cells with increased calcium after treatment with radio waves, a change that would allow neurons to fire.

A proposal to develop a new way to

  • remotely control brain cells

from Sarah Stanley, a research associate in Rockefeller University’s Laboratory of Molecular Genetics, headed by Jeffrey M. Friedman, is

  • among the first to receive funding from U.S. President Barack Obama’s BRAIN initiative.

The project will make use of a technique called

  • radiogenetics that combines the use of radio waves or magnetic fields with
  • nanoparticles to turn neurons on or off.

The National Institutes of Health is one of four federal agencies involved in the BRAIN (Brain Research through Advancing Innovative Neurotechnologies) initiative. Following in the ambitious footsteps of the Human Genome Project, the BRAIN initiative seeks

  • to create a dynamic map of the brain in action,

a goal that requires the development of new technologies. The BRAIN initiative working group, which outlined the broad scope of the ambitious project, was co-chaired by Rockefeller’s Cori Bargmann, head of the Laboratory of Neural Circuits and Behavior.

Stanley’s grant, for $1.26 million over three years, is one of 58 projects to get BRAIN grants, the NIH announced. The NIH’s plan for its part of this national project, which has been pitched as “America’s next moonshot,” calls for $4.5 billion in federal funds over 12 years.

The technology Stanley is developing would

  • enable researchers to manipulate the activity of neurons, as well as other cell types,
  • in freely moving animals in order to better understand what these cells do.

Other techniques for controlling selected groups of neurons exist, but her new nanoparticle-based technique has a

  • unique combination of features that may enable new types of experimentation.
  • it would allow researchers to rapidly activate or silence neurons within a small area of the brain or
  • dispersed across a larger region, including those in difficult-to-access locations.

Stanley also plans to explore the potential this method has for use treating patients.

“Francis Collins, director of the NIH, has discussed

  • the need for studying the circuitry of the brain,
  • which is formed by interconnected neurons.

Our remote-control technology may provide a tool with which researchers can ask new questions about the roles of complex circuits in regulating behavior,” Stanley says.
Rockefeller University’s Laboratory of Molecular Genetics
Source: Rockefeller Univ.

Part 4.  Cancer

Two Proteins Found to Block Cancer Metastasis

Why do some cancers spread while others don’t? Scientists have now demonstrated that

  • metastatic incompetent cancers actually “poison the soil”
  • by generating a micro-environment that blocks cancer cells
  • from settling and growing in distant organs.

The “seed and the soil” hypothesis proposed by Stephen Paget in 1889 is now widely accepted to explain how

  • cancer cells (seeds) are able to generate fertile soil (the micro-environment)
  • in distant organs that promotes cancer’s spread.

However, this concept had not explained why some tumors do not spread or metastasize.

The researchers, from Weill Cornell Medical College, found that

  • two key proteins involved in this process work by
  • dramatically suppressing cancer’s spread.

The study offers hope that a drug based on these

  • potentially therapeutic proteins, prosaposin and Thrombospondin 1 (Tsp-1),

might help keep human cancer at bay and from metastasizing.

Scientists don’t understand why some tumors wouldn’t “want” to spread. It goes against their “job description,” says the study’s senior investigator, Vivek Mittal, Ph.D., an associate professor of cell and developmental biology in cardiothoracic surgery and director of the Neuberger Berman Foundation Lung Cancer Laboratory at Weill Cornell Medical College. He theorizes that metastasis occurs when

  • the barriers that the body throws up to protect itself against cancer fail.

But there are some tumors in which some of the barriers may still be intact. “So that suggests

  • those primary tumors will continue to grow, but that
  • an innate protective barrier still exists that prevents them from spreading and invading other organs,”

The researchers found that, like typical tumors,

  • metastasis-incompetent tumors also send out signaling molecules
  • that establish what is known as the “premetastatic niche” in distant organs.

These niches composed of bone marrow cells and various growth factors have been described previously by others including Dr. Mittal as the fertile “soil” that the disseminated cancer cell “seeds” grow in.

Weill Cornell’s Raúl Catena, Ph.D., a postdoctoral fellow in Dr. Mittal’s laboratory, found an important difference between the tumor types. Metastatic-incompetent tumors

  • systemically increased expression of Tsp-1, a molecule known to fight cancer growth.
  • increased Tsp-1 production was found specifically in the bone marrow myeloid cells
  • that comprise the metastatic niche.

These results were striking, because for the first time Dr. Mittal says

  • the bone marrow-derived myeloid cells were implicated as
  • the main producers of Tsp-1,.

In addition, Weill Cornell and Harvard researchers found that

  • prosaposin secreted predominantly by the metastatic-incompetent tumors
  • increased expression of Tsp-1 in the premetastatic lungs.

Thus, Dr. Mittal posits that prosaposin works in combination with Tsp-1

  • to convert pro-metastatic bone marrow myeloid cells in the niche
  • into cells that are not hospitable to cancer cells that spread from a primary tumor.
  • “The very same myeloid cells in the niche that we know can promote metastasis
  • can also be induced under the command of the metastatic incompetent primary tumor to inhibit metastasis,”

The research team found that

  • the Tsp-1–inducing activity of prosaposin
  • was contained in only a 5-amino acid peptide region of the protein, and
  • this peptide alone induced Tsp-1 in the bone marrow cells and
  • effectively suppressed metastatic spread in the lungs
  • in mouse models of breast and prostate cancer.

This 5-amino acid peptide with Tsp-1–inducing activity

  • has the potential to be used as a therapeutic agent against metastatic cancer,

The scientists have begun to test prosaposin in other tumor types or metastatic sites.

Dr. Mittal says that “The clinical implications of the study are:

  • “Not only is it theoretically possible to design a prosaposin-based drug or drugs
  • that induce Tsp-1 to block cancer spread, but
  • you could potentially create noninvasive prognostic tests
  • to predict whether a cancer will metastasize.”

The study was reported in the April 30 issue of Cancer Discovery, in a paper titled “Bone Marrow-Derived Gr1+ Cells Can Generate a Metastasis-Resistant Microenvironment Via Induced Secretion of Thrombospondin-1”.

Disabling Enzyme Cripples Tumors, Cancer Cells

First Step of Metastasis

First Step of Metastasis

Published: Sep 05, 2013  http://www.technologynetworks.com/Metabolomics/news.aspx?id=157138

Knocking out a single enzyme dramatically cripples the ability of aggressive cancer cells to spread and grow tumors.

The paper, published in the journal Proceedings of the National Academy of Sciences, sheds new light on the importance of lipids, a group of molecules that includes fatty acids and cholesterol, in the development of cancer.

Researchers have long known that cancer cells metabolize lipids differently than normal cells. Levels of ether lipids – a class of lipids that are harder to break down – are particularly elevated in highly malignant tumors.

“Cancer cells make and use a lot of fat and lipids, and that makes sense because cancer cells divide and proliferate at an accelerated rate, and to do that,

  • they need lipids, which make up the membranes of the cell,”

said study principal investigator Daniel Nomura, assistant professor in UC Berkeley’s Department of Nutritional Sciences and Toxicology. “Lipids have a variety of uses for cellular structure, but what we’re showing with our study is that

  • lipids can send signals that fuel cancer growth.”

In the study, Nomura and his team tested the effects of reducing ether lipids on human skin cancer cells and primary breast tumors. They targeted an enzyme,

  • alkylglycerone phosphate synthase, or AGPS,
  • known to be critical to the formation of ether lipids.

The researchers confirmed that

  1. AGPS expression increased when normal cells turned cancerous.
  2. inactivating AGPS substantially reduced the aggressiveness of the cancer cells.

“The cancer cells were less able to move and invade,” said Nomura.

The researchers also compared the impact of

  • disabling the AGPS enzyme in mice that had been injected with cancer cells.

Nomura. observes -“Among the mice that had the AGPS enzyme inactivated,

  • the tumors were nonexistent,”

“The mice that did not have this enzyme

  • disabled rapidly developed tumors.”

The researchers determined that

  • inhibiting AGPS expression depleted the cancer cells of ether lipids.
  • AGPS altered levels of other types of lipids important to the ability of the cancer cells to survive and spread, including
    • prostaglandins and acyl phospholipids.

“What makes AGPS stand out as a treatment target is that the enzyme seems to simultaneously

  • regulate multiple aspects of lipid metabolism
  • important for tumor growth and malignancy.”

Future steps include the

  • development of AGPS inhibitors for use in cancer therapy,

“This study sheds considerable light on the important role that AGPS plays in ether lipid metabolism in cancer cells, and it suggests that

  • inhibitors of this enzyme could impair tumor formation,”

said Benjamin Cravatt, Professor and Chair of Chemical Physiology at The Scripps Research Institute, who is not part of the UC.

Agilent Technologies Thought Leader Award Supports Translational Research Program
Published: Mon, March 04, 2013

The award will support Dr DePinho’s research into

  • metabolic reprogramming in the earliest stages of cancer.

Agilent Technologies Inc. announces that Dr. Ronald A. DePinho, a world-renowned oncologist and researcher, has received an Agilent Thought Leader Award.

DePinho is president of the University of Texas MD Anderson Cancer Center. DePinho and his team hope to discover and characterize

  • alterations in metabolic flux during tumor initiation and maintenance, and to identify biomarkers for early detection of pancreatic cancer together with
  • novel therapeutic targets.

Researchers on his team will work with scientists from the university’s newly formed Institute of Applied Cancer Sciences.

The Agilent Thought Leader Award provides funds to support personnel as well as a state-of-the-art Agilent 6550 iFunnel Q-TOF LC/MS system.

“I am extremely pleased to receive this award for metabolomics research, as the survival rates for pancreatic cancer have not significantly improved over the past 20 years,” DePinho said. “This technology will allow us to

  • rapidly identify new targets that drive the formation, progression and maintenance of pancreatic cancer.

Discoveries from this research will also lead to

  • the development of effective early detection biomarkers and novel therapeutic interventions.”

“We are proud to support Dr. DePinho’s exciting translational research program, which will make use of

  • metabolomics and integrated biology workflows and solutions in biomarker discovery,”

said Patrick Kaltenbach, Agilent vice president, general manager of the Liquid Phase Division, and the executive sponsor of this award.

The Agilent Thought Leader Program promotes fundamental scientific advances by support of influential thought leaders in the life sciences and chemical analysis fields.

The covalent modifier Nedd8 is critical for the activation of Smurf1 ubiquitin ligase in tumorigenesis

Ping Xie, Minghua Zhang, Shan He, Kefeng Lu, Yuhan Chen, Guichun Xing, et al.
Nature Communications
  2014; 5(3733).  http://dx.doi.org:/10.1038/ncomms4733

Neddylation, the covalent attachment of ubiquitin-like protein Nedd8, of the Cullin-RING E3 ligase family

  • regulates their ubiquitylation activity.

However, regulation of HECT ligases by neddylation has not been reported to date. Here we show that

  • the C2-WW-HECT ligase Smurf1 is activated by neddylation.

Smurf1 physically interacts with

  1. Nedd8 and Ubc12,
  2. forms a Nedd8-thioester intermediate, and then
  3. catalyses its own neddylation on multiple lysine residues.

Intriguingly, this autoneddylation needs

  • an active site at C426 in the HECT N-lobe.

Neddylation of Smurf1 potently enhances

  • ubiquitin E2 recruitment and
  • augments the ubiquitin ligase activity of Smurf1.

The regulatory role of neddylation

  • is conserved in human Smurf1 and yeast Rsp5.

Furthermore, in human colorectal cancers,

  • the elevated expression of Smurf1, Nedd8, NAE1 and Ubc12
  • correlates with cancer progression and poor prognosis.

These findings provide evidence that

  • neddylation is important in HECT ubiquitin ligase activation and
  • shed new light on the tumour-promoting role of Smurf1.
 Swinging domains in HECT E3

Swinging domains in HECT E3

Subject terms: Biological sciences Cancer Cell biology

Figure 1: Smurf1 expression is elevated in colorectal cancer tissues.

Smurf1 expression is elevated in colorectal cancer tissues.

Smurf1 expression is elevated in colorectal cancer tissues.

(a) Smurf1 expression scores are shown as box plots, with the horizontal lines representing the median; the bottom and top of the boxes representing the 25th and 75th percentiles, respectively; and the vertical bars representing the ra

Figure 2: Positive correlation of Smurf1 expression with Nedd8 and its interacting enzymes in colorectal cancer.

Positive correlation of Smurf1 expression with Nedd8 and its interacting enzymes in colorectal cancer

Positive correlation of Smurf1 expression with Nedd8 and its interacting enzymes in colorectal cancer

(a) Representative images from immunohistochemical staining of Smurf1, Ubc12, NAE1 and Nedd8 in the same colorectal cancer tumour. Scale bars, 100 μm. (bd) The expression scores of Nedd8 (b, n=283 ), NAE1 (c, n=281) and Ubc12 (d, n=19…

Figure 3: Smurf1 interacts with Ubc12.

Smurf1 interacts with Ubc12

Smurf1 interacts with Ubc12

(a) GST pull-down assay of Smurf1 with Ubc12. Both input and pull-down samples were subjected to immunoblotting with anti-His and anti-GST antibodies. Smurf1 interacted with Ubc12 and UbcH5c, but not with Ubc9. (b) Mapping the regions…

Figure 4: Nedd8 is attached to Smurf1through C426-catalysed autoneddylation.

Nedd8 is attached to Smurf1through C426-catalysed autoneddylation

Nedd8 is attached to Smurf1through C426-catalysed autoneddylation

(a) Covalent neddylation of Smurf1 in vitro.Purified His-Smurf1-WT or C699A proteins were incubated with Nedd8 and Nedd8-E1/E2. Reactions were performed as described in the Methods section. Samples were analysed by western blotting wi…

Figure 5: Neddylation of Smurf1 activates its ubiquitin ligase activity.

Neddylation of Smurf1 activates its ubiquitin ligase activity.

Neddylation of Smurf1 activates its ubiquitin ligase activity.

(a) In vivo Smurf1 ubiquitylation assay. Nedd8 was co-expressed with Smurf1 WT or C699A in HCT116 cells (left panels). Twenty-four hours post transfection, cells were treated with MG132 (20 μM, 8 h). HCT116 cells were transfected with…

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The deubiquitylase USP33 discriminates between RALB functions in autophagy and innate immune response

M Simicek, S Lievens, M Laga, D Guzenko, VN. Aushev, et al.
Nature Cell Biology 2013; 15, 1220–1230    http://dx.doi.org:/10.1038/ncb2847

The RAS-like GTPase RALB mediates cellular responses to nutrient availability or viral infection by respectively

  • engaging two components of the exocyst complex, EXO84 and SEC5.
  1. RALB employs SEC5 to trigger innate immunity signalling, whereas
  2. RALB–EXO84 interaction induces autophagocytosis.

How this differential interaction is achieved molecularly by the RAL GTPase remains unknown.

We found that whereas GTP binding

  • turns on RALB activity,

ubiquitylation of RALB at Lys 47

  • tunes its activity towards a particular effector.

Specifically, ubiquitylation at Lys 47

  • sterically inhibits RALB binding to EXO84, while
  • facilitating its interaction with SEC5.

Double-stranded RNA promotes

  • RALB ubiquitylation and
  • SEC5–TBK1 complex formation.

In contrast, nutrient starvation

  • induces RALB deubiquitylation
  • by accumulation and relocalization of the deubiquitylase USP33
  • to RALB-positive vesicles.

Deubiquitylated RALB

  • promotes the assembly of the RALB–EXO84–beclin-1 complexes
  • driving autophagosome formation. Thus,
  • ubiquitylation within the effector-binding domain
  • provides the switch for the dual functions of RALB in
    • autophagy and innate immune responses.

Part 5. Metabolic Syndrome

Single Enzyme is Necessary for Development of Diabetes

Published: Aug 20, 2014 http://www.technologynetworks.com/Metabolomics/news.aspx?ID=169416

12-LO enzyme promotes the obesity-induced oxidative stress in the pancreatic cells.

An enzyme called 12-LO promotes the obesity-induced oxidative stress in the pancreatic cells that leads

  • to pre-diabetes, and diabetes.

12-LO’s enzymatic action is the last step in

  • the production of certain small molecules that harm the cell,

according to a team from Indiana University School of Medicine, Indianapolis.

The findings will enable the development of drugs that can interfere with this enzyme, preventing or even reversing diabetes. The research is published ahead of print in the journal Molecular and Cellular Biology.

In earlier studies, these researchers and their collaborators at Eastern Virginia Medical School showed that

  • 12-LO (which stands for 12-lipoxygenase) is present in these cells
  • only in people who become overweight.

The harmful small molecules resulting from 12-LO’s enzymatic action are known as HETEs, short for hydroxyeicosatetraenoic acid.

  1. HETEs harm the mitochondria, which then
  2. fail to produce sufficient energy to enable
  3. the pancreatic cells to manufacture the necessary quantities of insulin.

For the study, the investigators genetically engineered mice that

  • lacked the gene for 12-LO exclusively in their pancreas cells.

Mice were either fed a low-fat or high-fat diet.

Both the control mice and the knockout mice on the high fat diet

  • developed obesity and insulin resistance.

The investigators also examined the pancreatic beta cells of both knockout and control mice, using both microscopic studies and molecular analysis. Those from the knockout mice were intact and healthy, while

  • those from the control mice showed oxidative damage,
  • demonstrating that 12-LO and the resulting HETEs
  • caused the beta cell failure.

Mirmira notes that fatty diet used in the study was the Western Diet, which comprises mostly saturated-“bad”-fats. Based partly on a recent study of related metabolic pathways, he says that

  • the unsaturated and mono-unsaturated fats-which comprise most fats in the healthy,
  • relatively high fat Mediterranean diet-are unlikely to have the same effects.

“Our research is the first to show that 12-LO in the beta cell

  • is the culprit in the development of pre-diabetes, following high fat diets,” says Mirmira.

“Our work also lends important credence to the notion that

  • the beta cell is the primary defective cell in virtually all forms of diabetes and pre-diabetes.”

A New Player in Lipid Metabolism Discovered

Published: Aug18, 2014  http://www.technologynetworks.com/Metabolomics/news.aspx?ID=169356

Specially engineered mice gained no weight, and normal counterparts became obese

  • on the same high-fat, obesity-inducing Western diet.

Specially engineered mice that lacked a particular gene did not gain weight

  • when fed a typical high-fat, obesity-inducing Western diet.

Yet, these mice ate the same amount as their normal counterparts that became obese.

The mice were engineered with fat cells that lacked a gene called SEL1L,

  • known to be involved in the clearance of mis-folded proteins
  • in the cell’s protein making machinery called the endoplasmic reticulum (ER).

When mis-folded proteins are not cleared but accumulate,

  • they destroy the cell and contribute to such diseases as
  1. mad cow disease,
  2. Type 1 diabetes and
  3. cystic fibrosis.

“The million-dollar question is why don’t these mice gain weight? Is this related to its inability to clear mis-folded proteins in the ER?” said Ling Qi, associate professor of molecular and biochemical nutrition and senior author of the study published online July 24 in Cell Metabolism. Haibo Sha, a research associate in Qi’s lab, is the paper’s lead author.

Interestingly, the experimental mice developed a host of other problems, including

  • postprandial hypertriglyceridemia,
  • and fatty livers.

“Although we are yet to find out whether these conditions contribute to the lean phenotype, we found that

  • there was a lipid partitioning defect in the mice lacking SEL1L in fat cells,
  • where fat cells cannot store fat [lipids], and consequently
  • fat goes to the liver.

During the investigation of possible underlying mechanisms, we discovered

  • a novel function for SEL1L as a regulator of lipid metabolism,” said Qi.

Sha said “We were very excited to find that

  • SEL1L is required for the intracellular trafficking of
  • lipoprotein lipase (LPL), acting as a chaperone,” .

and added that “Using several tissue-specific knockout mouse models,

  • we showed that this is a general phenomenon,”

Without LPL, lipids remain in the circulation;

  • fat and muscle cells cannot absorb fat molecules for storage and energy combustion,

People with LPL mutations develop

  • postprandial hypertriglyceridemia similar to
  • conditions found in fat cell-specific SEL1L-deficient mice, said Qi.

Future work will investigate the

  • role of SEL1L in human patients carrying LPL mutations and
  • determine why fat cell-specific SEL1L-deficient mice remain lean under Western diets, said Sha.

Co-authors include researchers from Cedars-Sinai Medical Center in Los Angeles; Wageningen University in the Netherlands; Georgia State University; University of California, Los Angeles; and the Medical College of Soochow University in China.

The study was funded by the U.S. National Institutes of Health, the Netherlands Organization for Health Research and Development National Institutes of Health, the Cedars-Sinai Medical Center, Chinese National Science Foundation, the American Diabetes Association, Cornell’s Center for Vertebrate Genomics and the Howard Hughes Medical Institute.

Part 6. Biomarkers

Biomarkers Take Center Stage

Josh P. Roberts
GEN May 1, 2013 (Vol. 33, No. 9)  http://www.genengnews.com/

While work with biomarkers continues to grow, scientists are also grappling with research-related bottlenecks, such as

  1. affinity reagent development,
  2. platform reproducibility, and
  3. sensitivity.

Biomarkers by definition indicate some state or process that generally occurs

  • at a spatial or temporal distance from the marker itself, and

it would not be an exaggeration to say that biomedicine has become infatuated with them:

  1. where to find them,
  2. when they may appear,
  3. what form they may take, and
  4. how they can be used to diagnose a condition or
  5. predict whether a therapy may be successful.

Biomarkers are on the agenda of many if not most industry gatherings, and in cases such as Oxford Global’s recent “Biomarker Congress” and the GTC “Biomarker Summit”, they hold the naming rights. There, some basic principles were built upon, amended, and sometimes challenged.

In oncology, for example, biomarker discovery is often predicated on the premise that

  • proteins shed from a tumor will traverse to and persist in, and be detectable in, the circulation.

By quantifying these proteins—singularly or as part of a larger “signature”—the hope is

  1. to garner information about the molecular characteristics of the cancer
  2. that will help with cancer detection and
  3. personalization of the treatment strategy.

Yet this approach has not yet turned into the panacea that was hoped for. Bottlenecks exist in

  • affinity reagent development,
  • platform reproducibility, and
  • sensitivity.

There is also a dearth of understanding of some of the

  • fundamental principles of biomarker biology that we need to know the answers to,

said Parag Mallick, Ph.D., whose lab at Stanford University is “working on trying to understand where biomarkers come from.”

There are dogmas saying that

  • circulating biomarkers come solely from secreted proteins.

But Dr. Mallick’s studies indicate that fully

  • 50% of circulating proteins may come from intracellular sources or
  • proteins that are annotated as such.

“We don’t understand the processes governing

  • which tumor-derived proteins end up in the blood.”

Other questions include “how does the size of a tumor affect how much of a given protein will be in the blood?”—perhaps

  • the tumor is necrotic at the center, or
  • it’s hypervascular or hypovascular.

He points out “The problem is that these are highly nonlinear processes at work, and

  • there is a large number of factors that might affect the answer to that question,” .

Their research focuses on using

  1. mass spectrometry and
  2. computational analysis
  • to characterize the biophysical properties of the circulating proteome, and
  • relate these to measurements made of the tumor itself.

Furthermore, he said – “We’ve observed that the proteins that are likely to

  • first show up and persist in the circulation, ..
  • are more stable than proteins that don’t,”
  • “we can quantify how significant the effect is.”

The goal is ultimately to be able to

  1. build rigorous, formal mathematical models that will allow something measured in the blood
  2. to be tied back to the molecular biology taking place in the tumor.

And conversely, to use those models

  • to predict from a tumor what will be found in the circulation.

“Ultimately, the models will allow you to connect the dots between

  • what you measure in the blood and the biology of the tumor.”

Bound for Affinity Arrays

Affinity reagents are the main tools for large-scale protein biomarker discovery. And while this has tended to mean antibodies (or their derivatives), other affinity reagents are demanding a place in the toolbox.

Affimers, a type of affinity reagent being developed by Avacta, consist of

  1. a biologically inert, biophysically stable protein scaffold
  2. containing three variable regions into which
  3. distinct peptides are inserted.

The resulting three-dimensional surface formed by these peptides

  • interacts and binds to proteins and other molecules in solution,
  • much like the antigen-binding site of antibodies.

Unlike antibodies, Affimers are relatively small (13 KDa),

  • non-post-translationally modified proteins
  • that can readily be expressed in bacterial culture.

They may be made to bind surfaces through unique residues

  • engineered onto the opposite face of the Affimer,
  • allowing the binding site to be exposed to the target in solution.

“We don’t seem to see in what we’ve done so far

  • any real loss of activity or functionality of Affimers when bound to surfaces—

they’re very robust,” said CEO Alastair Smith, Ph.D.

Avacta is taking advantage of this stability and its large libraries of Affimers to develop

  • very large affinity microarrays for
  • drug and biomarker discovery.

To date they have printed arrays with around 20–25,000 features, and Dr. Smith is “sure that we can get toward about 50,000 on a slide,” he said. “There’s no real impediment to us doing that other than us expressing the proteins and getting on with it.”

Customers will be provided with these large, complex “naïve” discovery arrays, readable with standard equipment. The plan is for the company to then “support our customers by providing smaller arrays with

  • the Affimers that are binding targets of interest to them,” Dr. Smith foretold.

And since the intellectual property rights are unencumbered,

  • Affimers in those arrays can be licensed to the end users
  • to develop diagnostics that can be validated as time goes on.

Around 20,000-Affimer discovery arrays were recently tested by collaborator Professor Ann Morgan of the University of Leeds with pools of unfractionated serum from patients with symptoms of inflammatory disease. The arrays

  • “rediscovered” elevated C-reactive protein (CRP, the clinical gold standard marker)
  • as well as uncovered an additional 22 candidate biomarkers.
  • other candidates combined with CRP, appear able to distinguish between different diseases such as
  1. rheumatoid arthritis,
  2. psoriatic arthritis,
  3. SLE, or
  4. giant cell arteritis.

Epigenetic Biomarkers

Methylation of adenine

Sometimes biomarkers are used not to find disease but

  • to distinguish healthy human cell types, with
  •  examples being found in flow cytometry and immunohistochemistry.

These widespread applications, however, are difficult to standardize, being

  • subject to arbitrary or subjective gating protocols and other imprecise criteria.

Epiontis instead uses an epigenetic approach. “What we need is a unique marker that is

  • demethylated only in one cell type and
  • methylated in all the other cell types,”

Each cell of the right cell type will have

  • two demethylated copies of a certain gene locus,
  • allowing them to be enumerated by quantitative PCR.

The biggest challenge is finding that unique epigenetic marker. To do so they look through the literature for proteins and genes described as playing a role in the cell type’s biology, and then

  • look at the methylation patterns to see if one can be used as a marker,

They also “use customized Affymetrix chips to look at the

  • differential epigenetic status of different cell types on a genomewide scale.”

explained CBO and founder Ulrich Hoffmueller, Ph.D.

The company currently has a panel of 12 assays for 12 immune cell types. Among these is an assay for

  • regulatory T (Treg) cells that queries the Foxp3 gene—which is uniquely demethylated in Treg
  • even though it is transiently expressed in activated T cells of other subtypes.

Also assayed are Th17 cells, difficult to detect by flow cytometry because

  • “the cells have to be stimulated in vitro,” he pointed out.

Developing New Assays for Cancer Biomarkers

Researchers at Myriad RBM and the Cancer Prevention Research Institute of Texas are collaborating to develop

  • new assays for cancer biomarkers on the Myriad RBM Multi-Analyte Profile (MAP) platform.

The release of OncologyMAP 2.0 expanded Myriad RBM’s biomarker menu to over 250 analytes, which can be measured from a small single sample, according to the company. Using this menu, L. Stephen et al., published a poster, “Analysis of Protein Biomarkers in Prostate and Colorectal Tumor Lysates,” which showed the results of

  • a survey of proteins relevant to colorectal (CRC) and prostate (PC) tumors
  • to identify potential proteins of interest for cancer research.

The study looked at CRC and PC tumor lysates and found that 102 of the 115 proteins showed levels above the lower limit of quantification.

  • Four markers were significantly higher in PC and 10 were greater in CRC.

For most of the analytes, duplicate sections of the tumor were similar, although some analytes did show differences. In four of the CRC analytes, tumor number four showed differences for CEA and tumor number 2 for uPA.

Thirty analytes were shown to be

  • different in CRC tumor compared to its adjacent tissue.
  • Ten of the analytes were higher in adjacent tissue compared to CRC.
  • Eighteen of the markers examined demonstrated  —-

significant correlations of CRC tumor concentration to serum levels.

“This suggests.. that the Oncology MAP 2.0 platform “provides a good method for studying changes in tumor levels because many proteins can be assessed with a very small sample.”

Clinical Test Development with MALDI-ToF

While there have been many attempts to translate results from early discovery work on the serum proteome into clinical practice, few of these efforts have progressed past the discovery phase.

Matrix-assisted laser desorption/ionization-time of flight (MALDI-ToF) mass spectrometry on unfractionated serum/plasma samples offers many practical advantages over alternative techniques, and does not require

  • a shift from discovery to development and commercialization platforms.

Biodesix claims it has been able to develop the technology into

  • a reproducible, high-throughput tool to
  • routinely measure protein abundance from serum/plasma samples.

“.. we improved data-analysis algorithms to

  • reproducibly obtain quantitative measurements of relative protein abundance from MALDI-ToF mass spectra.

Heinrich Röder, CTO points out that the MALDI-ToF measurements

  • are combined with clinical outcome data using
  • modern learning theory techniques
  • to define specific disease states
  • based on a patient’s serum protein content,”

The clinical utility of the identification of these disease states can be investigated through a retrospective analysis of differing sample sets. For example, Biodesix clinically validated its first commercialized serum proteomic test, VeriStrat®, in 85 different retrospective sample sets.

Röder adds that “It is becoming increasingly clear that

  • the patients whose serum is characterized as VeriStrat Poor show
  • consistently poor outcomes irrespective of
  1. tumor type,
  2. histology, or
  3. molecular tumor characteristics,”

MALDI-ToF mass spectrometry, in its standard implementation,

  • allows for the observation of around 100 mostly high-abundant serum proteins.

Further, “while this does not limit the usefulness of tests developed from differential expression of these proteins,

  • the discovery potential would be greatly enhanced
  • if we could probe deeper into the proteome
  • while not giving up the advantages of the MALDI-ToF approach,”

Biodesix reports that its new MALDI approach, Deep MALDI™, can perform

  • simultaneous quantitative measurement of more than 1,000 serum protein features (or peaks) from 10 µL of serum in a high-throughput manner.
  • it increases the observable signal noise ratio from a few hundred to over 50,000,
  • resulting in the observation of many lower-abundance serum proteins.

Breast cancer, a disease now considered to be a collection of many complexes of symptoms and signatures—the dominant ones are labeled Luminal A, Luminal B, Her2, and Basal— which suggests different prognose, and

  • these labels are considered too simplistic for understanding and managing a woman’s cancer.

Studies published in the past year have looked at

  1. somatic mutations,
  2. gene copy number aberrations,
  3. gene expression abnormalities,
  4. protein and miRNA expression, and
  5. DNA methylation,

coming up with a list of significantly mutated genes—hot spots—in different categories of breast cancers. Targeting these will inevitably be the focus of much coming research.

“We’ve been taking these large trials and profiling these on a variety of array or sequence platforms. We think we’ll get

  1. prognostic drivers
  2. predictive markers for taxanes and
  3. monoclonal antibodies and
  4. tamoxifen and aromatase inhibitors,”
    explained Brian Leyland-Jones, Ph.D., director of Edith Sanford Breast Cancer Research. “We will end up with 20–40 different diseases, maybe more.”

Edith Sanford Breast Cancer Research is undertaking a pilot study in collaboration with The Scripps Research Institute, using a variety of tests on 25 patients to see how the information they provide complements each other, the overall flow, and the time required to get and compile results.

Laser-captured tumor samples will be subjected to low passage whole-genome, exome, and RNA sequencing (with targeted resequencing done in parallel), and reverse-phase protein and phosphorylation arrays, with circulating nucleic acids and circulating tumor cells being queried as well. “After that we hope to do a 100- or 150-patient trial when we have some idea of the best techniques,” he said.

Dr. Leyland-Jones predicted that ultimately most tumors will be found

  • to have multiple drivers,
  • with most patients receiving a combination of two, three, or perhaps four different targeted therapies.

Reduce to Practice

According to Randox, the evidence Investigator is a sophisticated semi-automated biochip sys­tem designed for research, clinical, forensic, and veterinary applications.

Once biomarkers that may have an impact on therapy are discovered, it is not always routine to get them into clinical practice. Leaving regulatory and financial, intellectual property and cultural issues aside, developing a diagnostic based on a biomarker often requires expertise or patience that its discoverer may not possess.

Andrew Gribben is a clinical assay and development scientist at Randox Laboratories, based in Northern Ireland, U.K. The company utilizes academic and industrial collaborators together with in-house discovery platforms to identify biomarkers that are

  • augmented or diminished in a particular pathology
  • relative to appropriate control populations.

Biomarkers can be developed to be run individually or

  • combined into panels of immunoassays on its multiplex biochip array technology.

Specificity can also be gained—or lost—by the affinity of reagents in an assay. The diagnostic potential of Heart-type fatty acid binding protein (H-FABP) abundantly expressed in human myocardial cells was recognized by Jan Glatz of Maastricht University, The Netherlands, back in 1988. Levels rise quickly within 30 minutes after a myocardial infarction, peaking at 6–8 hours and return to normal within 24–30 hours. Yet at the time it was not known that H-FABP was a member of a multiprotein family, with which the polyclonal antibodies being used in development of an assay were cross-reacting, Gribben related.

Randox developed monoclonal antibodies specific to H-FABP, funded trials investigating its use alone, and multiplexed with cardiac biomarker assays, and, more than 30 years after the biomarker was identified, in 2011, released a validated assay for H-FABP as a biomarker for early detection of acute myocardial infarction.

Ultrasensitive Immunoassays for Biomarker Development

Research has shown that detection and monitoring of biomarker concentrations can provide

  • insights into disease risk and progression.

Cytokines have become attractive biomarkers and candidates

  • for targeted therapies for a number of autoimmune diseases, including rheumatoid arthritis (RA), Crohn’s disease, and psoriasis, among others.

However, due to the low-abundance of circulating cytokines, such as IL-17A, obtaining robust measurements in clinical samples has been difficult.

Singulex reports that its digital single-molecule counting technology provides

  • increased precision and detection sensitivity over traditional ELISA techniques,
  • helping to shed light on biomarker verification and validation programs.

The company’s Erenna® immunoassay system, which includes optimized immunoassays, offers LLoQ to femtogram levels per mL resolution—even in healthy populations, at an improvement of 1-3 fold over standard ELISAs or any conventional technology and with a dynamic range of up to 4-logs, according to a Singulex official, who adds that

  • this sensitivity improvement helps minimize undetectable samples that
  • could otherwise delay or derail clinical studies.

The official also explains that the Singulex solution includes an array of products and services that are being applied to a number of programs and have enabled the development of clinically relevant biomarkers, allowing translation from discovery to the clinic.

In a poster entitled “Advanced Single Molecule Detection: Accelerating Biomarker Development Utilizing Cytokines through Ultrasensitive Immunoassays,” a case study was presented of work performed by Jeff Greenberg of NYU to show how the use of the Erenna system can provide insights toward

  • improving the clinical utility of biomarkers and
  • accelerating the development of novel therapies for treating inflammatory diseases.

A panel of inflammatory biomarkers was examined in DMARD (disease modifying antirheumatic drugs)-naïve RA (rheumatoid arthritis) vs. knee OA (osteoarthritis) patient cohorts. Markers that exhibited significant differences in plasma concentrations between the two cohorts included

  • CRP, IL-6R alpha, IL-6, IL-1 RA, VEGF, TNF-RII, and IL-17A, IL-17F, and IL-17A/F.

Among the three tested isoforms of IL-17,

  • the magnitude of elevation for IL-17F in RA patients was the highest.

“Singulex provides high-resolution monitoring of baseline IL-17A concentrations that are present at low levels,” concluded the researchers. “The technology also enabled quantification of other IL-17 isoforms in RA patients, which have not been well characterized before.”

The Singulex Erenna System has also been applied to cardiovascular disease research, for which its

  • cardiac troponin I (cTnI) digital assay can be used to measure circulating
  • levels of cTnI undetectable by other commercial assays.

Recently presented data from Brigham and Women’s Hospital and the TIMI-22 study showed that

  • using the Singulex test to serially monitor cTnI helps
  • stratify risk in post-acute coronary syndrome patients and
  • can identify patients with elevated cTnI
  • who have the most to gain from intensive vs. moderate-dose statin therapy,

according to the scientists involved in the research.

The study poster, “Prognostic Performance of Serial High Sensitivity Cardiac Troponin Determination in Stable Ischemic Heart Disease: Analysis From PROVE IT-TIMI 22,” was presented at the 2013 American College of Cardiology (ACC) Annual Scientific Session & Expo by R. O’Malley et al.

Biomarkers Changing Clinical Medicine

Better Diagnosis, Prognosis, and Drug Targeting Are among Potential Benefits

  1. John Morrow Jr., Ph.D.

Researchers at EMD Chemicals are developing biomarker immunoassays

  • to monitor drug-induced toxicity including kidney damage.

The pace of biomarker development is accelerating as investigators report new studies on cancer, diabetes, Alzheimer disease, and other conditions in which the evaluation and isolation of workable markers is prominently featured.

Wei Zheng, Ph.D., leader of the R&D immunoassay group at EMD Chemicals, is overseeing a program to develop biomarker immunoassays to

  • monitor drug-induced toxicity, including kidney damage.

“One of the principle reasons for drugs failing during development is because of organ toxicity,” says Dr. Zheng.
“proteins liberated into the serum and urine can serve as biomarkers of adverse response to drugs, as well as disease states.”

Through collaborative programs with Rules-Based Medicine (RBM), the EMD group has released panels for the profiling of human renal impairment and renal toxicity. These urinary biomarker based products fit the FDA and EMEA guidelines for assessment of drug-induced kidney damage in rats.

The group recently performed a screen for potential protein biomarkers in relation to

  • kidney toxicity/damage on a set of urine and plasma samples
  • from patients with documented renal damage.

Additionally, Dr. Zheng is directing efforts to move forward with the multiplexed analysis of

  • organ and cellular toxicity.

Diseases thought to involve compromised oxidative phosphorylation include

  • diabetes, Parkinson and Alzheimer diseases, cancer, and the aging process itself.

Good biomarkers allow Dr. Zheng to follow the mantra, “fail early, fail fast.” With robust, multiplexible biomarkers, EMD can detect bad drugs early and kill them before they move into costly large animal studies and clinical trials. “Recognizing the severe liability that toxicity presents, we can modify the structure of the candidate molecule and then rapidly reassess its performance.”

Scientists at Oncogene Science a division of Siemens Healthcare Diagnostics, are also focused on biomarkers. “We are working on a number of antibody-based tests for various cancers, including a test for the Ca-9 CAIX protein, also referred to as carbonic anhydrase,” Walter Carney, Ph.D., head of the division, states.

CAIX is a transmembrane protein that is

  • overexpressed in a number of cancers, and, like Herceptin and the Her-2 gene,
  • can serve as an effective and specific marker for both diagnostic and therapeutic purposes.
  • It is liberated into the circulation in proportion to the tumor burden.

Dr. Carney and his colleagues are evaluating patients after tumor removal for the presence of the Ca-9 CAIX protein. If

  • the levels of the protein in serum increase over time,
  • this suggests that not all the tumor cells were removed and the tumor has metastasized.

Dr. Carney and his team have developed both an immuno-histochemistry and an ELISA test that could be used as companion diagnostics in clinical trials of CAIX-targeted drugs.

The ELISA for the Ca-9 CAIX protein will be used in conjunction with Wilex’ Rencarex®, which is currently in a

  • Phase III trial as an adjuvant therapy for non-metastatic clear cell renal cancer.

Additionally, Oncogene Science has in its portfolio an FDA-approved test for the Her-2 marker. Originally approved for Her-2/Neu-positive breast cancer, its indications have been expanded over time, and was approved

  • for the treatment of gastric cancer last year.

It is normally present on breast cancer epithelia but

  • overexpressed in some breast cancer tumors.

“Our products are designed to be used in conjunction with targeted therapies,” says Dr. Carney. “We are working with companies that are developing technology around proteins that are

  • overexpressed in cancerous tissues and can be both diagnostic and therapeutic targets.”

The long-term goal of these studies is to develop individualized therapies, tailored for the patient. Since the therapies are expensive, accurate diagnostics are critical to avoid wasting resources on patients who clearly will not respond (or could be harmed) by the particular drug.

“At this time the rate of response to antibody-based therapies may be very poor, as

  • they are often employed late in the course of the disease, and patients are in such a debilitated state
  • that they lack the capacity to react positively to the treatment,” Dr. Carney explains.

Nanoscale Real-Time Proteomics

Stanford University School of Medicine researchers, working with Cell BioSciences, have developed a

  • nanofluidic proteomic immunoassay that measures protein charge,
  • similar to immunoblots, mass spectrometry, or flow cytometry.
  • unlike these platforms, this approach can measure the amount of individual isoforms,
  • specifically, phosphorylated molecules.

“We have developed a nanoscale device for protein measurement, which I believe could be useful for clinical analysis,” says Dean W. Felsher, M.D., Ph.D., associate professor at Stanford University School of Medicine.

Critical oncogenic transformations involving

  • the activation of the signal-related kinases ERK-1 and ERK-2 can now be followed with ease.

“The fact that we measure nanoquantities with accuracy means that

  • we can interrogate proteomic profiles in clinical patients,

by drawing tiny needle aspirates from tumors over the course of time,” he explains.

“This allows us to observe the evolution of tumor cells and

  • their response to therapy
  • from a baseline of the normal tissue as a standard of comparison.”

According to Dr. Felsher, 20 cells is a large enough sample to obtain a detailed description. The technology is easy to automate, which allows

  • the inclusion of hundreds of assays.

Contrasting this technology platform with proteomic analysis using microarrays, Dr. Felsher notes that the latter is not yet workable for revealing reliable markers.

Dr. Felsher and his group published a description of this technology in Nature Medicine. “We demonstrated that we could take a set of human lymphomas and distinguish them from both normal tissue and other tumor types. We can

  • quantify changes in total protein, protein activation, and relative abundance of specific phospho-isoforms
  • from leukemia and lymphoma patients receiving targeted therapy.

Even with very small numbers of cells, we are able to show that the results are consistent, and

  • our sample is a random profile of the tumor.”

Splice Variant Peptides

“Aberrations in alternative splicing may generate

  • much of the variation we see in cancer cells,”

says Gilbert Omenn, Ph.D., director of the center for computational medicine and bioinformatics at the University of Michigan School of Medicine. Dr. Omenn and his colleague, Rajasree Menon, are

  • using this variability as a key to new biomarker identification.

It is becoming evident that splice variants play a significant role in the properties of cancer cells, including

  • initiation, progression, cell motility, invasiveness, and metastasis.

Alternative splicing occurs through multiple mechanisms

  • when the exons or coding regions of the DNA transcribe mRNA,
  • generating initiation sites and connecting exons in protein products.

Their translation into protein can result in numerous protein isoforms, and

  • these isoforms may reflect a diseased or cancerous state.

Regulatory elements within the DNA are responsible for selecting different alternatives; thus

  • the splice variants are tempting targets for exploitation as biomarkers.
Analyses of the splice-site mutation

Analyses of the splice-site mutation

Despite the many questions raised by these observations, splice variation in tumor material has not been widely studied. Cancer cells are known for their tremendous variability, which allows them to

  • grow rapidly, metastasize, and develop resistance to anticancer drugs.

Dr. Omenn and his collaborators used

  • mass spec data to interrogate a custom-built database of all potential mRNA sequences
  • to find alternative splice variants.

When they compared normal and malignant mammary gland tissue from a mouse model of Her2/Neu human breast cancers, they identified a vast number (608) of splice variant proteins, of which

  • peptides from 216 were found only in the tumor sample.

“These novel and known alternative splice isoforms

  • are detectable both in tumor specimens and in plasma and
  • represent potential biomarker candidates,” Dr. Omenn adds.

Dr. Omenn’s observations and those of his colleague Lewis Cantley, Ph.D., have also

  • shed light on the origins of the classic Warburg effect,
  • the shift to anaerobic glycolysis in tumor cells.

The novel splice variant M2, of muscle pyruvate kinase,

  • is observed in embryonic and tumor tissue.

It is associated with this shift, the result of

  • the expression of a peptide splice variant sequence.

It is remarkable how many different areas of the life sciences are tied into the phenomenon of splice variation. The changes in the genetic material can be much greater than point mutations, which have been traditionally considered to be the prime source of genetic variability.

“We now have powerful methods available to uncover a whole new category of variation,” Dr. Omenn says. “High-throughput RNA sequencing and proteomics will be complementary in discovery studies of splice variants.”

Splice variation may play an important role in rapid evolutionary changes, of the sort discussed by Susumu Ohno and Stephen J. Gould decades ago. They, and other evolutionary biologists, argued that

  • gene duplication, combined with rapid variability, could fuel major evolutionary jumps.

At the time, the molecular mechanisms of variation were poorly understood, but today

  • the tools are available to rigorously evaluate the role of
  • splice variation and other contributors to evolutionary change.

“Biomarkers derived from studies of splice variants, could, in the future, be exploited

  • both for diagnosis and prognosis and
  • for drug targeting of biological networks,
  • in situations such as the Her-2/Neu breast cancers,” Dr. Omenn says.

Aminopeptidase Activities

“By correlating the proteolytic patterns with disease groups and controls, we have shown that

  • exopeptidase activities contribute to the generation of not only cancer-specific
  • but also cancer type specific serum peptides.

according to Paul Tempst, Ph.D., professor and director of the Protein Center at the Memorial Sloan-Kettering Cancer Center.

So there is a direct link between peptide marker profiles of disease and differential protease activity.” For this reason Dr. Tempst argues that “the patterns we describe may have value as surrogate markers for detection and classification of cancer.”

To investigate this avenue, Dr. Tempst and his colleagues have followed

  • the relationship between exopeptidase activities and metastatic disease.

“We monitored controlled, de novo peptide breakdown in large numbers of biological samples using mass spectrometry, with relative quantitation of the metabolites,” Dr. Tempst explains. This entailed the use of magnetic, reverse-phase beads for analyte capture and a MALDI-TOF MS read-out.

“In biomarker discovery programs, functional proteomics is usually not pursued,” says Dr. Tempst. “For putative biomarkers, one may observe no difference in quantitative levels of proteins, while at the same time, there may be substantial differences in enzymatic activity.”

In a preliminary prostate cancer study, the team found a significant difference

  • in activity levels of exopeptidases in serum from patients with metastatic prostate cancer
  • as compared to primary tumor-bearing individuals and normal healthy controls.

However, there were no differences in amounts of the target protein, and this potential biomarker would have been missed if quantitative levels of protein had been the only criterion of selection.

It is frequently stated that “practical fusion energy is 30 years in the future and always will be.” The same might be said of functional, practical biomarkers that can pass muster with the FDA. But splice variation represents a new handle on this vexing problem. It appears that we are seeing the emergence of a new approach that may finally yield definitive diagnostic tests, detectable in serum and urine samples.

Part 7. Epigenetics and Drug Metabolism

DNA Methylation Rules: Studying Epigenetics with New Tools

The tools to unravel the epigenetic control mechanisms that influence how cells control access of transcriptional proteins to DNA are just beginning to emerge.

Patricia Fitzpatrick Dimond, Ph.D.

http://www.genengnews.com/media/images/AnalysisAndInsight/Feb7_2013_24454248_GreenPurpleDNA_EpigeneticsToolsII3576166141.jpg

New tools may help move the field of epigenetic analysis forward and potentially unveil novel biomarkers for cellular development, differentiation, and disease.

DNA sequencing has had the power of technology behind it as novel platforms to produce more sequencing faster and at lower cost have been introduced. But the tools to unravel the epigenetic control mechanisms that influence how cells control access of transcriptional proteins to DNA are just beginning to emerge.

Among these mechanisms, DNA methylation, or the enzymatically mediated addition of a methyl group to cytosine or adenine dinucleotides,

  • serves as an inherited epigenetic modification that
  • stably modifies gene expression in dividing cells.

The unique methylomes are largely maintained in differentiated cell types, making them critical to understanding the differentiation potential of the cell.

In the DNA methylation process, cytosine residues in the genome are enzymatically modified to 5-methylcytosine,

  • which participates in transcriptional repression of genes during development and disease progression.

5-methylcytosine can be further enzymatically modified to 5-hydroxymethylcytosine by the TET family of methylcytosine dioxygenases. DNA methylation affects gene transcription by physically

  • interfering with the binding of proteins involved in gene transcription.

Methylated DNA may be bound by methyl-CpG-binding domain proteins (MBDs) that can

  • then recruit additional proteins. Some of these include histone deacetylases and other chromatin remodeling proteins that modify histones, thereby
  • forming compact, inactive chromatin, or heterochromatin.

While DNA methylation doesn’t change the genetic code,

  • it influences chromosomal stability and gene expression.

Epigenetics and Cancer Biomarkers

multistage chemical carcinogenesis

multistage chemical carcinogenesis

And because of the increasing recognition that DNA methylation changes are involved in human cancers, scientists have suggested that these epigenetic markers may provide biological markers for cancer cells, and eventually point toward new diagnostic and therapeutic targets. Cancer cell genomes display genome-wide abnormalities in DNA methylation patterns,

  • some of which are oncogenic and contribute to genome instability.

In particular, de novo methylation of tumor suppressor gene promoters

  • occurs frequently in cancers, thereby silencing them and promoting transformation.

Cytosine hydroxymethylation (5-hydroxymethylcytosine, or 5hmC), the aforementioned DNA modification resulting from the enzymatic conversion of 5mC into 5-hydroxymethylcytosine by the TET family of oxygenases, has been identified

  • as another key epigenetic modification marking genes important for
  • pluripotency in embryonic stem cells (ES), as well as in cancer cells.

The base 5-hydroxymethylcytosine was recently identified as an oxidation product of 5-methylcytosine in mammalian DNA. In 2011, using sensitive and quantitative methods to assess levels of 5-hydroxymethyl-2′-deoxycytidine (5hmdC) and 5-methyl-2′-deoxycytidine (5mdC) in genomic DNA, scientists at the Department of Cancer Biology, Beckman Research Institute of the City of Hope, Duarte, California investigated

  • whether levels of 5hmC can distinguish normal tissue from tumor tissue.

They showed that in squamous cell lung cancers, levels of 5hmdC showed

  • up to five-fold reduction compared with normal lung tissue.

In brain tumors,5hmdC showed an even more drastic reduction

  • with levels up to more than 30-fold lower than in normal brain,
  • but 5hmdC levels were independent of mutations in isocitrate dehydrogenase-1, the enzyme that converts 5hmC to 5hmdC.

Immunohistochemical analysis indicated that 5hmC is “remarkably depleted” in many types of human cancer.

  • there was an inverse relationship between 5hmC levels and cell proliferation with lack of 5hmC in proliferating cells.

Their data suggest that 5hmdC is strongly depleted in human malignant tumors,

  • a finding that adds another layer of complexity to the aberrant epigenome found in cancer tissue.

In addition, a lack of 5hmC may become a useful biomarker for cancer diagnosis.

Enzymatic Mapping

But according to New England Biolabs’ Sriharsa Pradhan, Ph.D., methods for distinguishing 5mC from 5hmC and analyzing and quantitating the cell’s entire “methylome” and “hydroxymethylome” remain less than optimal.

The protocol for bisulphite conversion to detect methylation remains the “gold standard” for DNA methylation analysis. This method is generally followed by PCR analysis for single nucleotide resolution to determine methylation across the DNA molecule. According to Dr. Pradhan, “.. bisulphite conversion does not distinguish 5mC and 5hmC,”

Recently we found an enzyme, a unique DNA modification-dependent restriction endonuclease, AbaSI, which can

  • decode the hydryoxmethylome of the mammalian genome.

You easily can find out where the hydroxymethyl regions are.”

AbaSI, recognizes 5-glucosylatedmethylcytosine (5gmC) with high specificity when compared to 5mC and 5hmC, and

  • cleaves at narrow range of distances away from the recognized modified cytosine.

By mapping the cleaved ends, the exact 5hmC location can, the investigators reported, be determined.

Dr. Pradhan and his colleagues at NEB; the Department of Biochemistry, Emory University School of Medicine, Atlanta; and the New England Biolabs Shanghai R&D Center described use of this technique in a paper published in Cell Reports this month, in which they described high-resolution enzymatic mapping of genomic hydroxymethylcytosine in mouse ES cells.

In the current report, the authors used the enzyme technology for the genome-wide high-resolution hydroxymethylome, describing simple library construction even with a low amount of input DNA (50 ng) and the ability to readily detect 5hmC sites with low occupancy.

As a result of their studies, they propose that

factors affecting the local 5mC accessibility to TET enzymes play important roles in the 5hmC deposition

  • including include chromatin compaction, nucleosome positioning, or TF binding.
  •  the regularly oscillating 5hmC profile around the CTCF-binding sites, suggests 5hmC ‘‘writers’’ may be sensitive to the nucleosomal environment.
  • some transiently stable 5hmCs may indicate a poised epigenetic state or demethylation intermediate, whereas others may suggest a locally accessible chromosomal environment for the TET enzymatic apparatus.

“We were able to do complete mapping in mouse embryonic cells and are pleased about what this enzyme can do and how it works,” Dr. Pradhan said.

And the availability of novel tools that make analysis of the methylome and hypomethylome more accessible will move the field of epigenetic analysis forward and potentially novel biomarkers for cellular development, differentiation, and disease.

Patricia Fitzpatrick Dimond, Ph.D. (pdimond@genengnews.com), is technical editor at Genetic Engineering & Biotechnology News.

Epigenetic Regulation of ADME-Related Genes: Focus on Drug Metabolism and Transport

Published: Sep 23, 2013

Epigenetic regulation of gene expression refers to heritable factors that are functionally relevant genomic modifications but that do not involve changes in DNA sequence.

Examples of such modifications include

  • DNA methylation, histone modifications, noncoding RNAs, and chromatin architecture.

Epigenetic modifications are crucial for

packaging and interpreting the genome, and they have fundamental functions in regulating gene expression and activity under the influence of physiologic and environmental factors.

In this issue of Drug Metabolism and Disposition, a series of articles is presented to demonstrate the role of epigenetic factors in regulating

  • the expression of genes involved in drug absorption, distribution, metabolism, and excretion in organ development, tissue-specific gene expression, sexual dimorphism, and in the adaptive response to xenobiotic exposure, both therapeutic and toxic.

The articles also demonstrate that, in addition to genetic polymorphisms, epigenetics may also contribute to wide inter-individual variations in drug metabolism and transport. Identification of functionally relevant epigenetic biomarkers in human specimens has the potential to improve prediction of drug responses based on patient’s epigenetic profiles.

http://www.technologynetworks.com/Metabolomics/news.aspx?ID=157804

This study is published online in Drug Metabolism and Disposition

Part 8.  Pictorial Maps

 Prediction of intracellular metabolic states from extracellular metabolomic data

MK Aurich, G Paglia, Ottar Rolfsson, S Hrafnsdottir, M Magnusdottir, MM Stefaniak, BØ Palsson, RMT Fleming &

Ines Thiele

Metabolomics Aug 14, 2014;

http://dx.doi.org:/10.1007/s11306-014-0721-3

http://link.springer.com/article/10.1007/s11306-014-0721-3/fulltext.html#Sec1

http://link.springer.com/static-content/images/404/art%253A10.1007%252Fs11306-014-0721-3/MediaObjects/11306_2014_721_Fig1_HTML.gif

Metabolic models can provide a mechanistic framework

  • to analyze information-rich omics data sets, and are
  • increasingly being used to investigate metabolic alternations in human diseases.

An expression of the altered metabolic pathway utilization is the selection of metabolites consumed and released by cells. However, methods for the

  • inference of intracellular metabolic states from extracellular measurements in the context of metabolic models remain underdeveloped compared to methods for other omics data.

Herein, we describe a workflow for such an integrative analysis

  • emphasizing on extracellular metabolomics data.

We demonstrate,

  • using the lymphoblastic leukemia cell lines Molt-4 and CCRF-CEM,

how our methods can reveal differences in cell metabolism. Our models explain metabolite uptake and secretion by predicting

  • a more glycolytic phenotype for the CCRF-CEM model and
  • a more oxidative phenotype for the Molt-4 model,
  • which was supported by our experimental data.

Gene expression analysis revealed altered expression of gene products at

  • key regulatory steps in those central metabolic pathways, and

literature query emphasized the role of these genes in cancer metabolism.

Moreover, in silico gene knock-outs identified unique

  •  control points for each cell line model, e.g., phosphoglycerate dehydrogenase for the Molt-4 model.

Thus, our workflow is well suited to the characterization of cellular metabolic traits based on

  • -extracellular metabolomic data, and it allows the integration of multiple omics data sets
  • into a cohesive picture based on a defined model context.

Keywords Constraint-based modeling _ Metabolomics _ Multi-omics _ Metabolic network _ Transcriptomics

1 Introduction

Modern high-throughput techniques have increased the pace of biological data generation. Also referred to as the ‘‘omics avalanche’’, this wealth of data provides great opportunities for metabolic discovery. Omics data sets

  • contain a snapshot of almost the entire repertoire of mRNA, protein, or metabolites at a given time point or

under a particular set of experimental conditions. Because of the high complexity of the data sets,

  • computational modeling is essential for their integrative analysis.

Currently, such data analysis is a bottleneck in the research process and methods are needed to facilitate the use of these data sets, e.g., through meta-analysis of data available in public databases [e.g., the human protein atlas (Uhlen et al. 2010) or the gene expression omnibus (Barrett et al.  2011)], and to increase the accessibility of valuable information for the biomedical research community.

Constraint-based modeling and analysis (COBRA) is

  • a computational approach that has been successfully used to
  • investigate and engineer microbial metabolism through the prediction of steady-states (Durot et al.2009).

The basis of COBRA is network reconstruction: networks are assembled in a bottom-up fashion based on

  • genomic data and extensive
  • organism-specific information from the literature.

Metabolic reconstructions capture information on the

  • known biochemical transformations taking place in a target organism
  • to generate a biochemical, genetic and genomic knowledge base (Reed et al. 2006).

Once assembled, a

  • metabolic reconstruction can be converted into a mathematical model (Thiele and Palsson 2010), and
  • model properties can be interrogated using a great variety of methods (Schellenberger et al. 2011).

The ability of COBRA models

  • to represent genotype–phenotype and environment–phenotype relationships arises
  • through the imposition of constraints, which
  • limit the system to a subset of possible network states (Lewis et al. 2012).

Currently, COBRA models exist for more than 100 organisms, including humans (Duarte et al. 2007; Thiele et al. 2013).

Since the first human metabolic reconstruction was described [Recon 1 (Duarte et al. 2007)],

  • biomedical applications of COBRA have increased (Bordbar and Palsson 2012).

One way to contextualize networks is to

  • define their system boundaries according to the metabolic states of the system, e.g., disease or dietary regimes.

The consequences of the applied constraints can

  • then be assessed for the entire network (Sahoo and Thiele 2013).

Additionally, omics data sets have frequently been used

  • to generate cell-type or condition-specific metabolic models.

Models exist for specific cell types, such as

  1. enterocytes (Sahoo and Thiele2013),
  2. macrophages (Bordbar et al. 2010),
  3. adipocytes (Mardinoglu et al. 2013),
  4. even multi-cell assemblies that represent the interactions of brain cells (Lewis et al. 2010).

All of these cell type specific models, except the enterocyte reconstruction

  • were generated based on omics data sets.

Cell-type-specific models have been used to study

  • diverse human disease conditions.

For example, an adipocyte model was generated using

  • transcriptomic, proteomic, and metabolomics data.

This model was subsequently used to investigate metabolic alternations in adipocytes

  • that would allow for the stratification of obese patients (Mardinoglu et al. 2013).

The biomedical applications of COBRA have been

  1. cancer metabolism (Jerby and Ruppin, 2012).
  2. predicting drug targets (Folger et al. 2011; Jerby et al. 2012).

A cancer model was generated using

  • multiple gene expression data sets and subsequently used
  • to predict synthetic lethal gene pairs as potential drug targets
  • selective for the cancer model, but non-toxic to the global model (Recon 1),

a consequence of the reduced redundancy in the cancer specific model (Folger et al. 2011).

In a follow up study, lethal synergy between FH and enzymes of the heme metabolic pathway

  • were experimentally validated and resolved the mechanism by which FH deficient cells,
    e.g., in renal-cell cancer cells survive a non-functional TCA cycle (Frezza et al. 2011).

Contextualized models, which contain only the subset of reactions active in a particular tissue (or cell-) type,

  • can be generated in different ways (Becker and Palsson, 2008; Jerby et al. 2010).

However, the existing algorithms mainly consider

  • gene expression and proteomic data
  • to define the reaction sets that comprise the contextualized metabolic models.

These subset of reactions are usually defined

  • based on the expression or absence of expression of the genes or proteins (present and absent calls),
  • or inferred from expression values or differential gene expression.

Comprehensive reviews of the methods are available (Blazier and Papin, 2012; Hyduke et al. 2013). Only the compilation of a large set of omics data sets

  • can result in a tissue (or cell-type) specific metabolic model, whereas

the representation of one particular experimental condition is achieved

  • through the integration of omics data set generated from one experiment only (condition-specific cell line model).

Recently, metabolomic data sets have become more comprehensive and

  • using these data sets allow direct determination of the metabolic network components (the metabolites).

Additionally, metabolomics has proven to be stable, relatively inexpensive, and highly reproducible (Antonucci et al. 2012). These factors make metabolomic data sets particularly valuable for

  • interrogation of metabolic phenotypes.

Thus, the integration of these data sets is now an active field of research (Li et al. 2013; Mo et al. 2009; Paglia et al. 2012b; Schmidt et al. 2013).

Generally, metabolomic data can be incorporated into metabolic networks as

  • qualitative, quantitative, and thermodynamic constraints (Fleming et al. 2009; Mo et al. 2009).

Mo et al. used metabolites detected in the

  • spent medium of yeast cells to determine intracellular flux states through a sampling analysis (Mo et al. 2009),
  • which allowed unbiased interrogation of the possible network states (Schellenberger and Palsson 2009) and
  • prediction of internal pathway use.
Modes of transcriptional regulation during the YMC

Modes of transcriptional regulation during the YMC

Such analyses have also been used to reveal the effects of

  1. enzymopathies on red blood cells (Price et al. 2004),
  2. to study effects of diet on diabetes (Thiele et al. 2005) and
  3. to define macrophage metabolic states (Bordbar et al. 2010).

This type of analysis is available as a function in the COBRA toolbox (Schellenberger et al. 2011).

In this study, we established a workflow

  • for the generation and analysis of condition-specific metabolic cell line models
  • that can facilitate the interpretation of metabolomic data.

Our modeling yields meaningful predictions regarding

  • metabolic differences between two lymphoblastic leukemia cell lines (Fig. 1A).

Fig. 1

metabol leukem cell lines11306_2014_721_Fig1_HTML

metabol leukem cell lines11306_2014_721_Fig1_HTML

A Combined experimental and computational pipeline to study human metabolism.

  1. Experimental work and omics data analysis steps precede computational modeling.
  2. Model predictions are validated based on targeted experimental data.
  3. Metabolomic and transcriptomic data are used for model refinement and submodel extraction.
  4. Functional analysis methods are used to characterize the metabolism of the cell-line models and compare it to additional experimental data.
  5. The validated models are subsequently used for the prediction of drug targets.

B Uptake and secretion pattern of model metabolites. All metabolite uptakes and secretions that were mapped during model generation are shown.

  • Metabolite uptakes are depicted on the left, and
  • secreted metabolites are shown on the right.
  1. A number of metabolite exchanges mapped to the model were unique to one cell line.
  2. Differences between cell lines were used to set quantitative constraints for the sampling analysis.

C Statistics about the cell line-specific network generation.

D Quantitative constraints.

For the sampling analysis, an additional set of constraints was imposed on the cell line specific models,

  • emphasizing the differences in metabolite uptake and secretion between cell lines.

Higher uptake of a metabolite was allowed

  • in the model of the cell line that consumed more of the metabolite in vitro, whereas
  • the supply was restricted for the model with lower in vitro uptake.

This was done by establishing the same ratio between the models bounds as detected in vitro.

X denotes the factor (slope ratio) that distinguishes the bounds, and

  • which was individual for each metabolite.

(a) The uptake of a metabolite could be x times higher in CCRF-CEM cells,

(b) the metabolite uptake could be x times higher in Molt-4,

(c) metabolite secretion could be x times higher in CCRF-CEM, or

(d) metabolite secretion could be x times higher in Molt-4 cells.LOD limit of detection.

The consequence of the adjustment was, in case of uptake, that one model was constrained to a lower metabolite uptake (A, B), and the difference depended on the ratio detected in vitro. In case of secretion, one model

  • had to secrete more of the metabolite, and again
  • the difference depended on the experimental difference detected between the cell lines

2 Results

We set up a pipeline that could be used to infer intracellular metabolic states

  • from semi-quantitative data regarding metabolites exchanged between cells and their environment.

Our pipeline combined the following four steps:

  1. data acquisition,
  2. data analysis,
  3. metabolic modeling and
  4. experimental validation of the model predictions (Fig. 1A).

We demonstrated the pipeline and the predictive potential to predict metabolic alternations in diseases such as cancer based on

^two lymphoblastic leukemia cell lines.

The resulting Molt-4 and CCRF-CEM condition-specific cell line models could explain

^  metabolite uptake and secretion
^  by predicting the distinct utilization of central metabolic pathways by the two cell lines.
^  the CCRF-CEM model resembled more a glycolytic, commonly referred to as ‘Warburg’ phenotype,
^  our model predicted a more respiratory phenotype for the Molt-4 model.

We found these predictions to be in agreement with measured gene expression differences

  • at key regulatory steps in the central metabolic pathways, and they were also
  • consistent with additional experimental data regarding the energy and redox states of the cells.

After a brief discussion of the data generation and analysis steps, the results derived from model generation and analysis will be described in detail.

2.1 Pipeline for generation of condition-specific metabolic cell line models

integration of exometabolomic (EM) data

integration of exometabolomic (EM) data

2.1.1 Generation of experimental data

We monitored the growth and viability of lymphoblastic leukemia cell lines in serum-free medium (File S2, Fig. S1). Multiple omics data sets were derived from these cells.Extracellular metabolomics (exo-metabolomic) data,

integration of exometabolomic (EM) data

integration of exometabolomic (EM) data

^  comprising measurements of the metabolites in the spent medium of the cell cultures (Paglia et al. 2012a),
^ were collected along with transcriptomic data, and these data sets were used to construct the models.

2.1.4 Condition-specific models for CCRF-CEM and Molt-4 cells

To determine whether we had obtained two distinct models, we evaluated the reactions, metabolites, and genes of the two models. Both the Molt-4 and CCRF-CEM models contained approximately half of the reactions and metabolites present in the global model (Fig. 1C). They were very similar to each other in terms of their reactions, metabolites, and genes (File S1, Table S5A–C).

(1) The Molt-4 model contained seven reactions that were not present in the CCRF-CEM model (Co-A biosynthesis pathway and exchange reactions).
(2) The CCRF-CEM contained 31 unique reactions (arginine and proline metabolism, vitamin B6 metabolism, fatty acid activation, transport, and exchange reactions).
(3) There were 2 and 15 unique metabolites in the Molt-4 and CCRF-CEM models, respectively (File S1, Table S5B).
(4) Approximately three quarters of the global model genes remained in the condition-specific cell line models (Fig. 1C).
(5) The Molt-4 model contained 15 unique genes, and the CCRF-CEM model had 4 unique genes (File S1, Table S5C).
(6) Both models lacked NADH dehydrogenase (complex I of the electron transport chain—ETC), which was determined by the absence of expression of a mandatory subunit (NDUFB3, Entrez gene ID 4709).

Rather, the ETC was fueled by FADH2 originating from succinate dehydrogenase and from fatty acid oxidation, which through flavoprotein electron transfer

FADH2

FADH2

  • could contribute to the same ubiquinone pool as complex I and complex II (succinate dehydrogenase).

Despite their different in vitro growth rates (which differed by 11 %, see File S2, Fig. S1) and
^^^ differences in exo-metabolomic data (Fig. 1B) and transcriptomic data,
^^^ the internal networks were largely conserved in the two condition-specific cell line models.

2.1.5 Condition-specific cell line models predict distinct metabolic strategies

Despite the overall similarity of the metabolic models, differences in their cellular uptake and secretion patterns suggested distinct metabolic states in the two cell lines (Fig. 1B and see “Materials and methods” section for more detail). To interrogate the metabolic differences, we sampled the solution space of each model using an Artificial Centering Hit-and-Run (ACHR) sampler (Thiele et al. 2005). For this analysis, additional constraints were applied, emphasizing the quantitative differences in commonly uptaken and secreted metabolites. The maximum possible uptake and maximum possible secretion flux rates were reduced
^^^ according to the measured relative differences between the cell lines (Fig. 1D, see “Materials and methods” section).

We plotted the number of sample points containing a particular flux rate for each reaction. The resulting binned histograms can be understood as representing the probability that a particular reaction can have a certain flux value.

A comparison of the sample points obtained for the Molt-4 and CCRF-CEM models revealed

  • a considerable shift in the distributions, suggesting a higher utilization of glycolysis by the CCRF-CEM model
    (File S2, Fig. S2).

This result was further supported by differences in medians calculated from sampling points (File S1, Table S6).
The shift persisted throughout all reactions of the pathway and was induced by the higher glucose uptake (34 %) from the extracellular medium in CCRF-CEM cells.

The sampling median for glucose uptake was 34 % higher in the CCRF-CEM model than in Molt-4 model (File S2, Fig. S2).

The usage of the TCA cycle was also distinct in the two condition-specific cell-line models (Fig. 2). Interestingly,
the models used succinate dehydrogenase differently (Figs. 2, 3).

TCA_reactions

TCA_reactions

The Molt-4 model utilized an associated reaction to generate FADH2, whereas

  • in the CCRF-CEM model, the histogram was shifted in the opposite direction,
  • toward the generation of succinate.

Additionally, there was a higher efflux of citrate toward amino acid and lipid metabolism in the CCRF-CEM model (Fig. 2). There was higher flux through anaplerotic and cataplerotic reactions in the CCRF-CEM model than in the Molt-4 model (Fig. 2); these reactions include

(1) the efflux of citrate through ATP-citrate lyase,
(2) uptake of glutamine,
(3) generation of glutamate from glutamine,
(4) transamination of pyruvate and glutamate to alanine and to 2-oxoglutarate,
(5) secretion of nitrogen, and
(6) secretion of alanine.

energetics-of-cellular-respiration

energetics-of-cellular-respiration

The Molt-4 model showed higher utilization of oxidative phosphorylation (Fig. 3), again supported by
elevated median flux through ATP synthase (36 %) and other enzymes, which contributed to higher oxidative metabolism. The sampling analysis therefore revealed different usage of central metabolic pathways by the condition-specific models.

Fig. 2

Differences in the use of  the TCA cycle by the CCRF-CEM model (red) and the Molt-4 model (blue).

Differences in the use of the TCA cycle by the CCRF-CEM model (red) and the Molt-4 model (blue).

Differences in the use of the TCA cycle by the CCRF-CEM model (red) and the Molt-4 model (blue).

The table provides the median values of the sampling results. Negative values in histograms and in the table describe reversible reactions with flux in the reverse direction. There are multiple reversible reactions for the transformation of isocitrate and α-ketoglutarate, malate and fumarate, and succinyl-CoA and succinate. These reactions are unbounded, and therefore histograms are not shown. The details of participating cofactors have been removed.

Figure 3.

Molt-4 has higher median flux through ETC reactions II–IV 11306_2014_721_Fig3_HTML

Molt-4 has higher median flux through ETC reactions II–IV 11306_2014_721_Fig3_HTML

Atp ATP, cit citrate, adp ADP, pi phosphate, oaa oxaloacetate, accoa acetyl-CoA, coa coenzyme-A, icit isocitrate, αkg α-ketoglutarate, succ-coa succinyl-CoA, succ succinate, fumfumarate, mal malate, oxa oxaloacetate,
pyr pyruvate, lac lactate, ala alanine, gln glutamine, ETC electron transport chain

Ingenuity network analysis showing up (red) and downregulation (green) of miRNAs involved in PC and their target genes

Ingenuity network analysis showing up (red) and downregulation (green) of miRNAs involved in PC and their target genes

metabolic pathways 1476-4598-10-70-1

metabolic pathways 1476-4598-10-70-1

Metabolic Systems Research Team fig2

Metabolic Systems Research Team fig2

Metabolic control analysis of respiration in human cancer tissue. fphys-04-00151-g001

Metabolic control analysis of respiration in human cancer tissue. fphys-04-00151-g001

Metabolome Informatics Research fig1

Metabolome Informatics Research fig1

Modelling of Central Metabolism network3

Modelling of Central Metabolism network3

N. gaditana metabolic pathway map ncomms1688-f4

N. gaditana metabolic pathway map ncomms1688-f4

protein changes in biological mechanisms

protein changes in biological mechanisms

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