See on Scoop.it – Cardiovascular and vascular imaging
The artificial heart operation, performed on Wednesday at the Georges Pompidou European Hospital in Paris, went smoothly.
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See on Scoop.it – Cardiovascular and vascular imaging
The artificial heart operation, performed on Wednesday at the Georges Pompidou European Hospital in Paris, went smoothly.
See on medcitynews.com
Posted in Cardiovascular Pharmacogenomics, Diabetes Mellitus, Frontiers in Cardiology and Cardiovascular Disorders, Genome Biology, Genomic Testing: Methodology for Diagnosis, Ionic Transporters Na+, K, Molecular Genetics & Pharmaceutical, Na-K transport, Na-K-ATPase, Nitric Oxide in Health and Disease, Origins of Cardiovascular Disease, Population Health Management, Genetics & Pharmaceutical, Proteomics, tagged ATO2A@, ATPase, Aviva Lev-Ari, CAD, Coronary artery disease, Coronary circulation, coronary microvascular dysfunction, eNOS, genetic polymorphisms, Heart disease, Heart Failure, Hebrew University of Jerusalem, ion channels, ischemic heart diases (IHD), KCN5A gene (Kv1.5 channel), Kir6, Myocardial Ischemia, Nav 1.5, non-modifiable protective factor, NOS encoding, rs5215_GG, rs5219_AA, SCN5A, Thomas C. Südhof, voltage-gated K ion channel on December 21, 2013| Leave a Comment »
Reviewer and Co-Curator: Larry H Bernstein, MD, FCAP
and
Curator: Aviva Lev-Ari, PhD, RN

The role of ion channels in Na(+)-K(+)-ATPase: regulation of ion transport across the plasma membrane has been studied by our Team in 2012 and 2013. This is article TWELVE in a 13 article series listed at the end of this article.
Chiefly, our sources of inspiration were the following:
1. 2013 Nobel work on vesicles and calcium flux at the neuromuscular junction
Machinery Regulating Vesicle Traffic, A Major Transport System in our Cells
The 2013 Nobel Prize in Physiology or Medicine is awarded to Dr. James E. Rothman, Dr. Randy W. Schekman and Dr. Thomas C. Südhof for their discoveries of machinery regulating vesicle traffic, a major transport system in our cells. This represents a paradigm shift in our understanding of how the eukaryotic cell, with its complex internal compartmentalization, organizes the routing of molecules packaged in vesicles to various intracellular destinations, as well as to the outside of the cell. Specificity in the delivery of molecular cargo is essential for cell function and survival.
http://www.nobelprize.org/nobel_prizes/medicine/laureates/2013/advanced-medicineprize2013.pdf
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
2. Perspectives on Nitric Oxide in Disease Mechanisms
available on Kindle Store @ Amazon.com
http://www.amazon.com/dp/B00DINFFYC
3. Professor David Lichtstein, Hebrew University of Jerusalem, Dean, School of Medicine
Lichtstein’s main research focus is the regulation of ion transport across the plasma membrane of eukaryotic cells. His work led to the discovery that specific steroids that have crucial roles, as the regulation of cell viability, heart contractility, blood pressure and brain function. His research has implications for the fundamental understanding of body functions, as well as for several pathological states such as heart failure, hypertension and neurological and psychiatric diseases.
Physiologist, Professor Lichtstein, Chair in Heart Studies at The Hebrew University elected Dean of the Faculty of Medicine at The Hebrew University of Jerusalem
Reporter: Aviva Lev-Ari, PhD, RN
4. Professor Roger J. Hajjar, MD at Mount Sinai School of Medicine
Calcium Cycling (ATPase Pump) in Cardiac Gene Therapy: Inhalable Gene Therapy for Pulmonary Arterial Hypertension and Percutaneous Intra-coronary Artery Infusion for Heart Failure: Contributions by Roger J. Hajjar, MD
Aviva Lev-Ari, PhD, RN
5. Seminal Curations by Dr. Aviva Lev-Ari on Genetics and Genomics of Cardiovascular Diseases with a focus on Conduction and Cardiac Contractility
Aviva Lev-Ari, PhD, RN
Aviva Lev-Ari, PhD, RN
Aviva Lev-Ari, PhD, RN and Larry H. Bernstein, MD, FCAP
Justin Pearlman, MD, PhD, FACC, Larry H Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN
http://pharmaceuticalintelligence.com
See References to articles at the end of this article on
http://pharmaceuticalintelligence.com/?s=Ion+Channel
Thus, the following article follows a series of articles on ion-channels and cardiac contractility mentioned, above. The following article is closely related to the work of Prof. Lichtstein.
These investigators studied the possible correlation between
They completely analyzed exon 3 of both KCNJ8 and KCNJ11 genes (Kir6.1 and Kir6.2 subunit, respectively) as well as
Their findings are a lead into further investigations on ion channels and IHD affecting the microvasculature.
BasicResCardiol(2013)108:387 http//dx.dio.org/10.1007/s00395-013-0387-4
F Fedele1•M Mancone1•WM Chilian2•P Severino2•E Canali•S Logan•ML DeMarchis3•M Volterrani4•R Palmirotta3•F Guadagni3
1Department of Cardiovascular, Respiratory, Nephrology, Anesthesiology and Geriatric Sciences,Sapienza University of Rome, UmbertoI Policlinic, Rome, Italy e-mail:francesco.fedele@uniroma1.it
2Department of Integrative Medical Sciences, Northeastern Ohio Universities College of Medicine, Rootstown,OH
3Department of Advanced Biotechnologies and Bioimaging, IRCCS San Raffaele Pisana,Rome,It
4Cardiovascular Research Unit, Department of Medical Sciences, Centre for Clinical and Basic Research, Raffaele Pisana, Rome, Italy (CBFR)
BasicResCardiol(2013)108:387 http//dx.dio.org/10.1007/s00395-013-0387-4
This article is published with open access at Springerlink.com
Conventionally,ischemic heart disease (IHD) study is equated with large vessel coronary disease (CAD). However, recent evidence has suggested
Because regulation of coronary blood flow likely involves
genetic anomalies of ion-channels or specific endothelial-regulators may underlie coronary microvascular disease.
We aimed to evaluate the clinical impact of single-nucleotide polymorphisms in genes encoding for
242 consecutive patients who were candidates for coronary angiography were enrolled. A prospective, observational, single-center study was conducted,
(1) NOS3 encoding for endothelial nitric oxide synthase (eNOS);
(2) ATP2A2 encoding for the Ca/H-ATP-ase pump (SERCA);
(3) SCN5A encoding for the voltage-dependent Na channel (Nav1.5);
(4) KCNJ8 and in KCNJ11 encoding for the Kir6.1and Kir6.2 subunits
of genetic K-ATP channels, respectively;and
(5) KCN5A encoding for the voltage-gated K channel (Kv1.5).
No significant associations between clinical IHD manifestations and
whereas specific polymorphisms detected in eNOS, as well as in Kir6.2 and Nav1.5 were found to be correlated with
Interestingly, genetic polymorphisms of ion-channels seem to have an important clinical impact
http//dx.dio.org/10.1007/s00395-013-0387-4
Keywords: Ion-channels, Genetic polymorphisms, Coronary microcirculation, Endothelium, Atherosclerosis Ischemic heart disease
Historically, in the interrogation of altered vascular function in patientswith ischemic heart disease (IHD), scientists have focused their attention on the correlation between
The endothelium-independent dysfunction in coronary microcirculation and its possible correlations with
In normal conditions, coronary blood flow regulation (CBFR) is mediated by several different systems, including
Physiologic CBFR depends also on several ion channels, such as
Ion channels regulate the concentration of calcium in both
Ion channels play a primary role in the rapid response of both
Despite this knowledge, there still exists an important gap about
By altering the overall
Proximal coronary artery stenosis could
Therefore, we hypothesized that alterations of coronary ion channels could be the primary cause in a chain of events leading to
independent of the presence of atherosclerosis.
Therefore, the objective of our study was to evaluate the possible correlation between
Implications of the present work. This study describes the possible correlation of polymorphisms in genes encoding for CBFR effectors (i.e., ion channels, nitric oxide synthase, and SERCA) with the susceptibility for microcirculation dysfunction and IHD.
Our main findings are as follows: (Group 3 – Normal Patients – anatomically and functionally normal coronary arteries).
Haplotype analyses revealed that there is no linkage disequilibrium between polymorphisms of the analyzed genes. There was no significant difference in the prevalence of T2DM (p = 0.185) or dyslipidemia (p = 0.271) between groups, as shown in Table2. In regards to genetic characteristics, no significant differences between the three.
1. A marked HW disequilibrium in the genotypic distribution of rs1799983 polymorphism for eNOS/NOS3 was observed in all three populations. Moreover, this SNP seems to be an independent risk factor for microvascular dysfunction, as evidenced by multivariate analysis;
2. The SNPs rs5215_GG, rs5218_CT, and rs5219_AA for Kir6.2/KCJ11 could reduce susceptibility to IHD, since they were present more frequently in patients with anatomically and functionally normal coronary arteries;
3. In particular, with regard to rs5215 for Kir6.2/KCJ11, we observed a moderate deviation from the HW equilibrium in the genotypic
distribution in the control group. In addition, this genotype appears to be an independent protective factor in the development of IHD, as evidenced by multivariate analysis;
4. Furthermore, the trend observed for the SNP rs5219_AA of Kir6.2/KCNJ11 may suggest an independent protective factor in the development of coronary microvascular dysfunction
5. The rs1805124_GG genotype of Nav1.5/SCN5A seems to play a role against CAD;
6. No association seems to exist between the polymorphisms of SERCA/ATP2A2, Kir6.1/KCNJ8, and Kv1.5/KCNA5 and the presence of IHD;
7. All groups are comparable regarding the cardiovascular risk factors of T2DM and dyslipidemia, illustrating a potentially important implication of genetic polymorphisms in the susceptibility to IHD.
It is important to underline that the control group (Group 3) is a high-risk population, because of their cardiovascular risk factors
with an appropriate indication for coronary angiography, in accordance with current guidelines. Nevertheless, these patients were demonstrated to have both anatomically and functionally normal coronary arteries. Moreover, as shown in Tables 2 and 3, we observed that
Moreover, as shown in Table 4, the presence of the rs5215_GG polymorphism for the Kir6.2 subunit was
On the other hand, the SNP rs1799983_GT of eNOS was
Our data suggest that the presence of certain genetic polymorphisms may represent a non-modifiable protective factor that could be used
In normal coronary arteries, particularly the coronary microcirculation, there are several different mechanisms of CBFR, including
In particular, endothelium-dependent vasodilation acts mainly via eNOS-derived nitric oxide (NO) in response to acetylcholine and shear stress.
Recent data suggested a pathophysiologically relevant role for the polymorphisms of eNOS/NOS3 in human coronary vasomotion [40–43]. Our data suggest that rs1799983_GT at exon 7 (Glu298Asp, GAG-GAT) of eNOS/NOS3 represents
Consistently, a recent study performed on 60 Indian patients with documented history of CAD reported a significantly higher frequency of rs1799983 (p.05) compared to control subjects, indicating that
Our data do not support any significant difference regarding the Kir6.1 subunit of the K-ATP channel. On the other hand, this study suggests
in the susceptibility to IHD and microvascular dysfunction. These SNPs are among the most studied K-ATP channel polymorphisms, especially in the context of diabetes mellitus. In fact, in both Caucasian and Asian populations, these three SNPs as well as other genetic polymorphisms for the KCNJ11 gene have been associated with diabetes mellitus [34, 35, 44, 50, 57, 58, 70].
Nevertheless, the precise
The rs5215 and rs5219 polymorphisms, also known as I337V and E23K, respectively, are highly linked with reported
The high concordance between rs5219 and rs5215 suggests that these polymorphisms
In our study, multivariate analysis suggests both an independent protective role of the
Future studies are necessary to better understand the influence of this single amino acid variant on the function of the channel.
However, further studies are necessary to confirm these findings. In this context, to better investigate the implications of genetic variation in the K-ATP channel,
More than 40-kV channel subunits have been identified in the heart, and sections of human coronary smooth muscle cells demonstrate Kv1.5 immunoreactivity [16, 17, 27, 38]. Through constant regulation of smooth muscle tone, Kv channels contribute to the control of coronary microvascular resistance [4, 7]. Pharmacologic molecules that inhibit Kv1.5 channels such as
lead to coronary smooth muscle cell contraction and block the coupling between
However, no significant differences were identified between the study groups in terms of the particular polymorphisms for Kv1.5 that were analyzed in this study. Expression of
Our analysis reveals a possible implication of the polymorphism rs1805124_GG for Nav1.5 channel with the presence of anatomically and functionally normal coronary arteries. This SNP leads to a homozygous 1673A-G transition, resulting in a His558-to-Arg (H558R) substitution. It is important to underline that
Further research is necessary to confirm the observed implication.
Finally, we have analyzed the sarco/endoplasmic reticulum calcium transporting Ca2+-ATPase (SERCA), which is fundamental in the regulation of intracellular Ca2+ concentration [6].
SERCA is an intracellular pump that
Although this pump plays a critical role in regulation of the contraction/relaxation cycle, our analysis did not reveal any apparent association between
Notable limitations of this pilot study are as follows:
Moreover, to better address the significance of microvascular dysfunction in IHD, it could be interesting to analyze
In this prospective, observational, single-center study – 242 consecutive patients admitted to our department were enrolled with
All patients matched inclusion criteria
All patients signed an informed consent document –
prior to participation in the study, which included
The study was approved by the Institution’s Ethics Committee.
All clinical and instrumental characteristics were collected in a dedicated database.
(a) Standard therapies were administered, according to current guidelines [36, 68].
(b) An echocardiography was performed before and after coronary angiography
(c) Coronary angiography was performed using radial artery or femoral artery
Judkins approach via sheath insertion.
(d) In patients showing normal epicardial arteries, intracoronary functional tests
were performed through Doppler flow wire to evaluate
(e) In all enrolled patients, a peripheral blood sample for genetic analysis was taken.
On the basis of the coronary angiography and the intracoronary functional tests,
Fig. 1 Study design: 242 consecutive not randomized patients matching inclusion and exclusion criteria were enrolled.
In all patients, coronary angiography was performed, according to current ESC/ACC/AHA guidelines. In patients with
angiographically normal coronary artery, intracoronary functional tests were performed. In 242 patients
(155 with coronary artery disease, 46 patients with micro-vascular dysfunction, endothelium and/or non-endothelium
dependent, and 41 patients with anatomically and functionally normal coronary arteries) genetic analysis was performed.
In conformity with the study protocol, ethylenediaminetetraacetic acid (EDTA) whole blood samples were collected according
to the international guidelines reported in the literature [48]. Samples were transferred to the Interinstitutional Multidisciplinary
BioBank (BioBIM) of IRCCS San Raffaele Pisana (Rome) and stored at -80 C until DNA extraction. Bibliographic research by
PubMed and web tools OMIM (http://www.ncbi.nlm.nih.gov/omim), Entrez SNP (http://www.ncbi.nlm.nih.gov/snp), and
Ensembl (http://www.ensembl.org/index.html) were used to select variants of genes involved in signaling pathways
In particular, we completely analyzed by direct sequencing
All SNPs and sequence variants analyzed—a total of 62 variants of 6 genes—are listed in Table 1.
DNA was isolated from EDTA anticoagulated whole blood using the MagNA Pure LC instrument and theMagNA Pure LC
total DNA isolation kit I (Roche Diagnostics, Mannheim, Germany) according to the manufacturer’s instructions. Standard
PCR was performed in a GeneAmp PCR System 9700 (Applied Biosystems, CA) using HotStarTaq Master Mix
(HotStarTaq Master Mix Kit, QIAGEN Inc, CA). PCR conditions and primer sequences are listed in Table 1.
In order to exclude preanalytical and analytical errors, all direct sequencing analyses were carried out on both
strands using Big Dye Terminator v3.1 Cycle Sequencing kit (Applied Biosystems), run on an ABI 3130
Genetic Analyzer (Applied Biosystems), and repeated on PCR products obtained from new nucleic acid extractions.
All data analyses were performed in a blind fashion.
This report, intended as pilot study, is the first to compare
No definite sample size could be calculated to establish a power analysis. groups of patients. However, assuming
we estimated that
The significance of the differences of observed alleles and genotypes between groups, as well as
Akaike Information Criterion (AIC) was used to determine the best-fitting inheritance model for analyzed SNPs,
Moreover, the allelic frequencies were estimated by gene counting, and the genotypes were scored. For each gene,
Linkage disequilibrium coefficient (D0) and haplotype analyses were assessed using the Haploview 4.1 program.
Statistical analysis was performed using SPSS software package for Windows v.16.0 (SPSS Inc., Chicago, IL).
All categorical variables are expressed as percentages, and all continuous variables as mean ± standard deviation.
Differences between categorical variables
Given the presence of three groups, differences between continuous variables, were calculated using
(including the number of SNPs tested),
Univariate and multivariate logistic regression analyses
were performed to assess the independent impact of
while adjusting for other confounding variables. The following parameters were entered into the model:
Only variables with a p value < 0.10 after univariate analysis were entered
A two-tailed p < 0.05 was considered statistically significant.
Patients were classified as having T2DM if they had
Systemic arterial hypertension was defined as
Dyslipidemia was considered to be present if
Family history of MI was defined as a first-degree relative with MI before the age of 60 years.
in the population of
When correcting for other covariates as risk factors, the rs5215_GG genotype of Kir6.2/KCNJ11 was found to be
Similarly, a trend that supports this role of Kir6.2/KCNJ11 was also observed
following multivariate analysis (Table 4b), which agrees with literature findings as described below.
SOURCE for TABLES
BasicResCardiol(2013)108:387 http//dx.dio.org/10.1007/s00395-013-0387-4
Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest.
Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
REFERENCES
1. Alekseev AE, Hodgson DM, Karger AB, Park S, Zingman LV, Terzic A (2005) ATP-sensitive K? channel channel/enzyme multimer: metabolic gating in the heart. J Mol
Cell Cardiol 38:895–905. doi:10.1016/j.yjmcc.2005.02.022
2. Baumgart D, Naber C, Haude M, Oldenburg O, Erbel R, Heusch G, Siffert W (1999) G protein beta3 subunit 825T allele and enhanced coronary vasoconstriction on
alpha(2)-adrenoceptor activation. Circ Res 85:965–969. doi:10.1161/01.RES.85.10.965
3. Belardinelli L, Shryock JC, Fraser H (2006) Inhibition of the late sodium current as a potential cardioprotective principle: effects of the late sodium current inhibitor
ranolazine. Heart 92:6–14. doi:10.1136/hrt.2005.078790
4. Berwick ZC, Moberly SP, Kohr MC, Morrical EB, Kurian MM, Dick GM, Tune JD (2012) Contribution of voltage-dependent K+ and Ca2+ channels to coronary pressure-
flow autoregulation. Basic Res Cardiol 107:264. doi:10.1007/s00395-012-0264-6
5. Brayden JE (2002) Functional roles of KATP channels in vascular smooth muscle. Clin Exp Pharmacol Physiol 29:312–316. doi:10.1046/j.1440-1681.2002.03650.x
6. Brini M, Carafoli E (2009) Calcium pumps in health and disease. Physiol Rev 89:1341–1378. doi:10.1152/physrev.00032.2008
7. Chen TT, Luykenaar KD, Walsh EJ, Walsh MP, Cole WC (2006) Key role of Kv1 channels in vasoregulation. Circ Res 99:53–60. doi:10.1161/01.RES.0000229654.45090.57
8. Cohen KD, Jackson WF (2005) Membrane hyperpolarization is not required for sustained muscarinic agonist-induced increases in intracellular Ca2+ in arteriolar endothelial
cells. Microcirculation 12:169–182. doi:10.1080/10739680590904973
9. Daut J, Maier-Rudolph W, von Beckerath N, Mehrke G, Gu¨nter K, Goedel-Meinen L (1990) Hypoxic dilation of coronary arteries is mediated by ATP-sensitive potassium
channels. Science 247:1341–1344. doi:10.1126/science.2107575
10. Davidson SM, Duchen MR (2007) Endothelial mitochondria: contributing to vascular function and disease. Circ Res 100:1128–1141. doi:10.1161/01.RES.0000261970.18328.1d
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Basic Res Cardiol (2013) 108:387 http://dx.doi.org/10.1007/s00395-013-0387-4
http://pharmaceuticalintelligence.com/?s=Ion+Channel
Part I: Identification of Biomarkers that are Related to the Actin Cytoskeleton
Larry H Bernstein, MD, FCAP
Part II: Role of Calcium, the Actin Skeleton, and Lipid Structures in Signaling and Cell Motility
Larry H. Bernstein, MD, FCAP, Stephen Williams, PhD and Aviva Lev-Ari, PhD, RN
Part III: Renal Distal Tubular Ca2+ Exchange Mechanism in Health and Disease
Larry H. Bernstein, MD, FCAP, Stephen J. Williams, PhD and Aviva Lev-Ari, PhD, RN
Part IV: 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
Part V: 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
Part VI: Calcium Cycling (ATPase Pump) in Cardiac Gene Therapy: Inhalable Gene Therapy for Pulmonary Arterial Hypertension and Percutaneous Intra-coronary Artery Infusion for Heart Failure: Contributions by Roger J. Hajjar, MD
Aviva Lev-Ari, PhD, RN
Part VII: Cardiac Contractility & Myocardium Performance: Ventricular Arrhythmias and Non-ischemic Heart Failure – Therapeutic Implications for Cardiomyocyte Ryanopathy (Calcium Release-related Contractile Dysfunction) and Catecholamine Responses
Justin Pearlman, MD, PhD, FACC, Larry H Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN
Part VIII: 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
Part IX: 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
Part X: 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
Part XI: Sensors and Signaling in Oxidative Stress
Larry H. Bernstein, MD, FCAP
http://pharmaceuticalintelligence.com/2013/11/01/sensors-and-signaling-in-oxidative-stress/
Part XII: Atherosclerosis Independence: Genetic Polymorphisms of Ion Channels Role in the Pathogenesis of Coronary Microvascular Dysfunction and Myocardial Ischemia (Coronary Artery Disease (CAD))
Larry H Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN
Mitochondria and Oxidative Stress Role in Cardiovascular Diseases
Reversal of Cardiac Mitochondrial Dysfunction
Larry H. Bernstein, MD, FCAP
http://pharmaceuticalintelligence.com/2013/04/14/reversal-of-cardiac-mitochondrial-dysfunction/
Calcium Signaling, Cardiac Mitochondria and Metabolic Syndrome
Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN
Mitochondrial Dysfunction and Cardiac Disorders
Larry H. Bernstein, MD, FCAP http://pharmaceuticalintelligence.com/2013/04/14/mitochondrial-dysfunction-and-cardiac-disorders/
Mitochondrial Metabolism and Cardiac Function
Larry H. Bernstein, MD, FCAP
http://pharmaceuticalintelligence.com/2013/04/14/mitochondrial-metabolism-and-cardiac-function/
Mitochondria and Cardiovascular Disease: A Tribute to Richard Bing
Larry H. Bernstein, MD, FCAP
http://pharmaceuticalintelligence.com/2013/04/14/chapter-5-mitochondria-and-cardiovascular-disease/
MIT Scientists on Proteomics: All the Proteins in the Mitochondrial Matrix Identified
Aviva Lev-Ari, PhD, RN
Mitochondrial Dynamics and Cardiovascular Diseases
Ritu Saxena, Ph.D.
http://pharmaceuticalintelligence.com/2012/11/14/mitochondrial-dynamics-and-cardiovascular-diseases/
Mitochondrial Damage and Repair under Oxidative Stress
Larry H Bernstein, MD, FCAP
Nitric Oxide has a Ubiquitous Role in the Regulation of Glycolysis -with a Concomitant Influence on Mitochondrial Function
Larry H. Bernstein, MD, FACP
Mitochondrial Mechanisms of Disease in Diabetes Mellitus
Aviva Lev-Ari, PhD, RN
Mitochondria Dysfunction and Cardiovascular Disease – Mitochondria: More than just the “Powerhouse of the Cell”
Ritu Saxena, PhD
Posted in Cardiovascular Research, Chemical Genetics, Computational Biology/Systems and Bioinformatics, Congenital Heart Disease, Electrophysiology, Frontiers in Cardiology and Cardiovascular Disorders, Genome Biology, Origins of Cardiovascular Disease, Population Health Management, Genetics & Pharmaceutical, Proteomics, tagged Artificial cardiac pacemaker, Atrioventricular block, Brugada syndrome, Long QT syndrome, mutation, Nav1.5 on December 18, 2013| Leave a Comment »
Reporter: Aviva Lev-Ari, PhD, RN
Diseases of Conduction Block Conduction block can occur at any level of the cardiac conduction system (CCS) and can manifest as sinoatrial exit block, atrioventricular block, infra-Hisian block, or bundle branch block. Impaired conduction can be caused by ion channel defects that alter action potential shape or by defective coupling between cardiomyocytes. Inherited defects in cardiac conduction have been linked to mutations in SCN5A and SCN1B (both affect phase 0) and KCNJ2 (affects phase 3 and 4).
The cardiac sodium channel consists of the pore-forming α-subunit (encoded by SCN5A) and a modulatory β-subunit (encoded by SCN1B). The α-subunit contains a voltage sensor that allows for rapid activation in response to membrane depolarization. After depolarization, the sodium channel undergoes a period of inactivation, in which it is refractory to further impulses. SCN5A requires membrane repolarization to relieve the inactivated state. The inward rectifier potassium channel, Kir2.1, encoded by KCNJ2, maintains the resting membrane potential. Therefore, proper functioning of Nav1.5 and Kir2.1 is necessary for normal cardiac excitability.
Progressive cardiac conduction defect, or Lev-Lenègre disease, is characterized by age-related, fibrosclerotic degeneration of the His-Purkinje system.6 Impulse propagation through the proximal ventricular conduction system progressively declines, resulting in bundle branch blocks and eventually complete atrioventricular block. An inherited form of Lev-Lenègre disease is associated with loss of function mutations in SCN5A and can exist alone or as overlap syndromes with Brugada or long QT syndrome 3.6 Inherited progressive cardiac conduction defect is associated with a high risk of complete atrioventricular block and Stoke-Adams syncope without ventricular dysrhythmia.7 Schott et al8 identified a mutation in SCN5A that cosegregates with Lenègre disease in a large French family. Affected individuals had variable degrees of conduction block requiring pacemaker implantation in 4 family members because of syncope or complete heart block. Linkage analysis and candidate gene sequencing identified a T>C substitution at position +2 of the donor splice site of intron 22 (IVS22+2 T>C), which results in a mutant lacking the voltage-sensitive segment.8 Functional analysis demonstrated no transient inward sodium current in response to depolarization, consistent with a loss-of-function mutation.6
The majority of patients with Brugada and conduction disease do not have SCN5Amutations. Therefore, modifiers of Nav1.5 expression or function have become the target of candidate gene sequencing approaches. Watanabe et al9 identified SCN1B mutations in 3 families with conduction disease with or without Brugada syndrome. Coexpression of mutant β-subunits with Nav1.5 resulted in diminished sodium current.
Mutations in KCNJ2 have been found in a rare autosomal dominant condition called Andersen-Tawil syndrome, characterized by periodic paralysis, dysmorphic features, polymorphic ventricular tachycardia, and cardiac conduction disease.10,11 ECG evaluation of 96 patients with Andersen-Tawil syndrome from 33 unrelated kindreds revealed conduction defects at multiple levels from the atrioventricular node to the distal conduction system.55 Cardiomyocytes expressing a dominant-negative subunit of Kir2.1 exhibited a 95% reduction in IK1, resulting in significant action potential prolongation. Mouse models of Andersen-Tawil syndrome exhibited a slower heart rate and significant slowing of conduction.56,57
The current standard of care for symptomatic bradycardia due to conduction system disease is the implantation of an electronic pacemaker. Despite their success, electronic pacemakers have limitations, which include lead complications, finite battery life, potential for infection, lack of autonomic responsiveness, and size restriction in younger patients. These limitations have spurred on the development of biological pacemakers, the premise of which is to restore pacemaking activity with the use of viral-based or stem cell–based gene delivery systems.99 The identification and characterization of genes involved in generating pacemaker currents have allowed biological pacemaker technology to become a reality.
The restoration of sinus pacing rates can be achieved by modulating inward and outward currents to establish or increase the slope of diastolic depolarization in cardiac tissue. Increasing inward currents and/or decreasing outward currents increase the slope of diastolic depolarization and therefore the pacing rate. Genes that have been investigated or are under current investigation include the following: (1) β2-adrenergic receptor,100,101(2) dominant-negative Kir2.1 mutants,102 (3) adenylate cyclase type VI (ACVI),103,104and (4) HCN channels.105 The β2-adrenergic receptor and adenylate cyclase type VI both increase cAMP levels, leading to activation of endogenous HCN channels and calcium clock mechanisms. Although initial animal models using the β2-adrenergic receptor showed promise with transient increases in heart rate, the potential for proarrhythmia and the inability of this approach to establish de novo pacemaker activity limited its efficacy.101
Another approach focused on modifying ionic currents that convert working myocardial cells, which have relatively stable diastolic potentials, into cells with phase 4 diastolic depolarization. It was postulated that atrial and ventricular myocytes have the potential for automaticity, but that hyperpolarizing currents, such as IK1, prevent diastolic depolarization by stabilizing the resting membrane potential. Miake et al102 confirmed this hypothesis when they demonstrated that adenoviral delivery of a dominant-negative Kir2.1 construct into the left ventricle of guinea pigs resulted in conversion of quiescent myocytes into pacemaker cells. Unfortunately, significant action potential prolongation limited the clinical utility of this treatment strategy.102
Rosen and colleagues105,106 demonstrated that automaticity could be induced in quiescent myocardium with the use of heterologous expression of HCN channels that produce the pacemaker current If. Qu and Plotnikov et al demonstrated that stable autonomous rhythms could be generated when adenovirus encoding HCN2 was injected into the left atrium105 or left bundle branch106 of a canine heart. To bypass the limitations of viral-based systems, such as host immune response, several groups reported the successful use of cell-based delivery systems. Plotnikov et al107 reported the successful implantation of human mesenchymal stem cells expressing HCN2 in the left ventricle of a canine model of atrioventricular block. Dogs maintained stable ectopic pacemaker activity for >6 weeks without the use of immunosuppression.107 Human mesenchymal stem cells electronically couple to host myocardium through gap junctions; therefore, conditions with significant gap junction remodeling may affect the efficacy of this method.
Although standalone biological pacemakers may be far into the future, adjuvant biological pacemakers may find real-world utility for current deficiencies of electronic pacemakers, such as limited battery life and device infections. For example, biological preparations used in conjunction with device therapy may be used to extend battery life, decreasing the frequency of generator changes. Transient injectable pacemakers may also function as bridge therapy after lead extraction of an infected device. The need for adjuvant biological pacemakers is clear, but continued refinement of gene- and cell-based delivery systems will be necessary to make this technology a reality.99
Although rare, inherited arrhythmias have become an invaluable tool in identifying the genetic determinants of CCS function. Each new mutation enhances our understanding and appreciation of the biochemical and structural complexity needed for cardiac impulse generation and propagation. This methodology is hampered, however, by the relative scarcity of inherited conditions affecting the CCS. The addition of genome-wide association studies has broadened this search for novel genes beyond rare familial afflictions to include common, multifactorial conditions. It is hoped that this exciting new frontier will bring to light the complex interplay of genes and genetic/epigenetic modifiers that influence the prevalence of common diseases. These genetic screens will ultimately yield a bevy of new gene targets for pharmaceutical or gene-based therapeutics of the future.
REFERENCES
The Cardiac Conduction System
http://circ.ahajournals.org/content/123/8/904 [Circulation.2011; 123: 904-915 doi: 10.1161/CIRCULATIONAHA.110.942284]
http://www.ncbi.nlm.nih.gov/pubmed/15372490
Posted in Congenital Heart Disease, Electrophysiology, Frontiers in Cardiology and Cardiovascular Disorders, Genome Biology, Genomic Testing: Methodology for Diagnosis, Origins of Cardiovascular Disease, Population Health Management, Genetics & Pharmaceutical, tagged Atrial fibrillation, Cardiac dysrhythmia, Kirchhof, Maastricht University on December 18, 2013| Leave a Comment »
Aviva Lev-Ari, PhD, RN
PITX2c Is Expressed in the Adult Left Atrium, and Reducing Pitx2c Expression Promotes Atrial Fibrillation Inducibility and Complex Changes in Gene Expression
Paulus Kirchhof, MD*, Peter C. Kahr*, Sven Kaese, Ilaria Piccini, PhD, Ismail Vokshi, BSc, Hans-Heinrich Scheld, MD, Heinrich Rotering, MD, Lisa Fortmueller, MD (vet),Sandra Laakmann, MD (vet), Sander Verheule, PhD, Ulrich Schotten, MD, PhD,Larissa Fabritz, MD and Nigel A. Brown, PhD
Author Affiliations
From the Department of Cardiology and Angiology (P.K., P.C.K., S.K., I.P., L.F., S.L., L.F.) and the Department of Thoracic and Cardiovascular Surgery (H.-H.S., H.R.), University Hospital Muenster, Germany; Division of Biomedical Sciences (P.C.K., I.V., N.A.B.), St. George’s, University of London, United Kingdom; and the Department of Physiology (S.V., U.S.), Maastricht University, The Netherlands.
Correspondence to Nigel A. Brown, PhD, Division of Biomedical Sciences, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK. E-mail nbrown@sgul.ac.uk
↵* Drs Kirchhof and Kahr contributed equally to this work.
Abstract
Background— Intergenic variations on chromosome 4q25, close to the PITX2 transcription factor gene, are associated with atrial fibrillation (AF). We therefore tested whether adult hearts express PITX2 and whether variation in expression affects cardiac function.
Methods and Results— mRNA for PITX2 isoform c was expressed in left atria of human and mouse, with levels in right atrium and left and right ventricles being 100-fold lower. In mice heterozygous for Pitx2c (Pitx2c+/−), left atrial Pitx2c expression was 60% of wild-type and cardiac morphology and function were not altered, except for slightly elevated pulmonary flow velocity. Isolated Pitx2c+/−hearts were susceptible to AF during programmed stimulation. At short paced cycle lengths, atrial action potential durations were shorter in Pitx2c+/− than in wild-type. Perfusion with the β-receptor agonist orciprenaline abolished inducibility of AF and reduced the effect on action potential duration. Spontaneous heart rates, atrial conduction velocities, and activation patterns were not affected in Pitx2c+/− hearts, suggesting that action potential duration shortening caused wave length reduction and inducibility of AF. Expression array analyses comparing Pitx2c+/− with wild-type, for left atrial and right atrial tissue separately, identified genes related to calcium ion binding, gap and tight junctions, ion channels, and melanogenesis as being affected by the reduced expression of Pitx2c.
Conclusions— These findings demonstrate a physiological role for PITX2 in the adult heart and support the hypothesis that dysregulation of PITX2 expression can be responsible for susceptibility to AF.
SOURCE:
Circulation: Cardiovascular Genetics.2011; 4: 123-133
Published online before print January 31, 2011,
doi: 10.1161/ CIRCGENETICS.110.958058
Posted in Cardiomyopathy, Cardiovascular Research, Computational Biology/Systems and Bioinformatics, Congenital Heart Disease, Electrophysiology, Frontiers in Cardiology and Cardiovascular Disorders, Genome Biology, HTN, Origins of Cardiovascular Disease, Pharmacogenomics, Population Health Management, Genetics & Pharmaceutical, Statistical Methods for Research Evaluation, tagged Arrhythmogenic right ventricular dysplasia, Cardiac dysrhythmia, Johns Hopkins School of Medicine, Johns Hopkins University, National Institutes of Health, University Medical Center Utrecht on December 18, 2013| Leave a Comment »
Reporter: Aviva Lev-Ari, PhD, RN
Genomics of Ventricular arrhythmias, A-Fib, Right Ventricular Dysplasia, Cardiomyopathy – Comprehensive Desmosome Mutation Analysis in North Americans With Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy
A. Dénise den Haan, MD, Boon Yew Tan, MBChB, Michelle N. Zikusoka, MD, Laura Ibañez Lladó, MS, Rahul Jain, MD, Amy Daly, MS, Crystal Tichnell, MGC, Cynthia James, PhD, Nuria Amat-Alarcon, MS, Theodore Abraham, MD, Stuart D. Russell, MD,David A. Bluemke, MD, PhD, Hugh Calkins, MD, Darshan Dalal, MD, PhD and Daniel P. Judge, MD
Author Affiliations
From the Department of Medicine/Cardiology (A.D.d.H., B.Y.T., M.N.Z., L.I.L., R.J., A.D., C.T., C.J., N.A.-A., T.A., S.D.R., H.C., D.D., D.P.J.), Johns Hopkins University School of Medicine, Baltimore, Md; Department of Cardiology, Division of Heart and Lungs (A.D.d.H.), University Medical Center Utrecht, Utrecht, The Netherlands; and National Institutes of Health, Radiology and Imaging Sciences (D.A.B.), Bethesda, Md.
Correspondence to Daniel P. Judge, MD, Johns Hopkins University, Division of Cardiology, Ross 1049; 720 Rutland Avenue, Baltimore, MD 21205. E-mail djudge@jhmi.edu
Abstract
Background— Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) is an inherited disorder typically caused by mutations in components of the cardiac desmosome. The prevalence and significance of desmosome mutations among patients with ARVD/C in North America have not been described previously. We report comprehensive desmosome genetic analysis for 100 North Americans with clinically confirmed or suspected ARVD/C.
Methods and Results— In 82 individuals with ARVD/C and 18 people with suspected ARVD/C, DNA sequence analysis was performed on PKP2, DSG2, DSP, DSC2, and JUP. In those with ARVD/C, 52% harbored a desmosome mutation. A majority of these mutations occurred in PKP2. Notably, 3 of the individuals studied have a mutation in more than 1 gene. Patients with a desmosome mutation were more likely to have experienced ventricular tachycardia (73% versus 44%), and they presented at a younger age (33 versus 41 years) compared with those without a desmosome mutation. Men with ARVD/C were more likely than women to carry a desmosome mutation (63% versus 38%). A mutation was identified in 5 of 18 patients (28%) with suspected ARVD. In this smaller subgroup, there were no significant phenotypic differences identified between individuals with a desmosome mutation compared with those without a mutation.
Conclusions— Our study shows that in 52% of North Americans with ARVD/C a mutation in one of the cardiac desmosome genes can be identified. Compared with those without a desmosome gene mutation, individuals with a desmosome gene mutation had earlier-onset ARVD/C and were more likely to have ventricular tachycardia.
SOURCE:
Circulation: Cardiovascular Genetics.2009; 2: 428-435
Published online before print June 3, 2009,
doi: 10.1161/ CIRCGENETICS.109.858217
Posted in Biological Networks, Gene Regulation and Evolution, Biomarkers & Medical Diagnostics, Cardiovascular Pharmacogenomics, Computational Biology/Systems and Bioinformatics, Frontiers in Cardiology and Cardiovascular Disorders, Genome Biology, Genomic Testing: Methodology for Diagnosis, Origins of Cardiovascular Disease, Pharmacogenomics, Population Health Management, Genetics & Pharmaceutical, Reproductive Andrology, Embryology, Genomic Endocrinology, Preimplantation Genetic Diagnosis and Reproductive Genomics, Statistical Methods for Research Evaluation, tagged Boston University School of Public Health, Cedars-Sinai Medical Center, Coronary disease, Framingham Heart Study, Rotterdam Study on December 18, 2013| Leave a Comment »
Reporter: Aviva Lev-Ari, PhD, RN
Heart and Aging Research in Genomic Epidemiology: 1700 MIs and 2300 coronary heart disease events among about 29 000 eligible patients: Design of Prospective Meta-Analyses of Genome-Wide Association Studies From 5 Cohorts
Bruce M. Psaty, MD, PhD, Christopher J. O’Donnell, MD, MPH, Vilmundur Gudnason, MD, PhD, Kathryn L. Lunetta, PhD, Aaron R. Folsom, MD, Jerome I. Rotter, MD,André G. Uitterlinden, PhD, Tamara B. Harris, MD, Jacqueline C.M. Witteman, PhD,Eric Boerwinkle, PhD and on Behalf of the CHARGE Consortium
Author Affiliations
From the Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services (B.M.P.), University of Wash; Center for Health Studies, Group Health (B.M.P.), Seattle, Wash; the National Heart, Lung and Blood Institute and the Framingham Heart Study (C.J.O.D.), Framingham, Mass; Icelandic Heart Association and the Department of Cardiovascular Genetics (Y.G.), University of Iceland, Reykjavik, Iceland; Department of Biostatistics (K.L.), Boston University School of Public Health, Mass; Division of Epidemiology and Community Health (A.R.F.), University of Minnesota, Minneapolis; Medical Genetics Institute (J.I.R.), Cedars-Sinai Medical Center, Los Angeles, Calif; Departments of Internal Medicine (A.G.U.) and Epidemiology (A.G.U., J.C.M.W.), Erasmus Medical Center, Rotterdam, The Netherlands; Laboratory of Epidemiology, Demography, and Biometry (T.B.H.), Intramural Research Program, National Institute on Aging, Bethesda, Md; and Human Genetics Center and Division of Epidemiology (E.B.), University of Texas, Houston.
Guest editor for this article was Elizabeth R. Hauser, PhD.
Abstract
Background— The primary aim of genome-wide association studies is to identify novel genetic loci associated with interindividual variation in the levels of risk factors, the degree of subclinical disease, or the risk of clinical disease. The requirement for large sample sizes and the importance of replication have served as powerful incentives for scientific collaboration.
Methods— The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was formed to facilitate genome-wide association studies meta-analyses and replication opportunities among multiple large population-based cohort studies, which collect data in a standardized fashion and represent the preferred method for estimating disease incidence. The design of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium includes 5 prospective cohort studies from the United States and Europe: the Age, Gene/Environment Susceptibility—Reykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study. With genome-wide data on a total of about 38 000 individuals, these cohort studies have a large number of health-related phenotypes measured in similar ways. For each harmonized trait, within-cohort genome-wide association study analyses are combined by meta-analysis. A prospective meta-analysis of data from all 5 cohorts, with a properly selected level of genome-wide statistical significance, is a powerful approach to finding genuine phenotypic associations with novel genetic loci.
Conclusions— The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and collaborating non-member studies or consortia provide an excellent framework for the identification of the genetic determinants of risk factors, subclinical-disease measures, and clinical events.
Example of Coronary Heart Disease
The cohort-study methods papers provide detail about many of the phenotypes listed in Table 2. For coronary heart disease, investigators knowledgeable about the phenotype in each study decided to focus on fatal and nonfatal myocardial infarction (MI) as the primary outcome because the MI criteria differed in only trivial ways among the studies. There were some minor differences in the definition of the composite outcome of MI, fatal coronary heart disease, and sudden death, which became the secondary outcome. Only subjects at risk for an incident event were included in the analysis. MI survivors whose DNA was drawn after the event were not eligible. The primary analysis was restricted to Europeans or European Americans. Patients entered the analysis at the time of the DNA blood draw, and were followed until an event, death, loss to follow up, or the last visit. The main recommendations of the Analysis Committee were adopted, and a threshold of 5×10−8 was selected for genome-wide statistical significance. Analyses in progress include about 1700 MIs and 2300 coronary heart disease events among about 29 000 eligible patients. Each cohort conducted its own analysis, and results were uploaded to a secure share site for the fixed-effects meta-analysis. Even with this number of events (Supplemental Figure 2), power is good for only for relatively high minor allele frequencies (>0.25) and large relative risks (>1.3).
The authors had full access to and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.
Discussion
In thousands of published papers, the 5 CHARGE cohort studies and many of the collaborating studies have already characterized the risk factors for and the incidence and prognosis of a variety of aging-related and cardiovascular conditions. The analysis of the incident MI, for instance, is free from the survival bias typically associated with cross-sectional or case-control studies. The methodologic advantages of the prospective population-based cohort design, the similarity of phenotypes across 5 studies, the availability of genome-wide genotyping data in each cohort, and the need for large sample sizes to provide reliable estimates of genotype-phenotype associations have served as the primary incentives for the formation of the CHARGE consortium, which includes GWAS data on about 38 000 individuals. The consortium effort relies on collaborative methods that are similar to those used by the individual contributing cohorts.
Phenotype experts who know the studies and the data well are responsible for phenotype-standardization across cohorts. The coordinated prospectively planned meta-analyses of CHARGE provide results that are virtually identical to a cohort-adjusted pooled analysis of individual level data. This approach–the within-study analysis followed by a between-study meta-analysis–avoids the human subjects issues associated with individual-level data sharing.
Editors, reviewers, and readers expect replication as the standard in science.6 The finding of a genetic association in one population with evidence for replication in multiple independent populations provides moderate assurance against false-positive reports and helps to establish the validity of the original finding. In a single experiment, the discovery-replication structure is traditionally embodied in a 2-stage design. The CHARGE consortium includes up to 5 independent replicate samples as well as additional collaborating studies for some phenotype working groups, so that it would have been possible to set up analysis plans within CHARGE to mimic the traditional 2-stage design for replication. For instance, the 2 largest cohorts could have served as the discovery set and the others as the replication set. However, attaining the extremely small probability values expected in GWAS requires large sample sizes. For any phenotype, a prospective meta-analysis of all participating cohorts, with a properly selected level of genome-wide statistical significance to minimize the chance of false-positives, is the most powerful approach to finding new genuine associations for genetic loci.25 When findings narrowly miss the prespecified significance threshold, genotyping individuals in other independent populations provides additional evidence about the association. For findings that substantially exceed pre-established significance thresholds, the results of a CHARGE meta-analysis effectively provide evidence of a multistudy replication.
The effort to assemble and manage the CHARGE consortium has provided some interesting and unanticipated challenges. Participating cohorts often had relationships with outside study groups that predated the formation of CHARGE. Timelines for genotyping and imputation have shifted. Purchases of new computer systems for the volume of work were sometimes necessary. Each cohort came to the consortium with their own traditions for methods of analysis, organization, and authorship policies that, while appropriate for their own work, were not always optimal for collaboration with multiple external groups. Within each cohort, the investigators had often formed working groups that divided up the large number of available phenotypes in ways that made sense locally but did not necessarily match the configuration that had been adopted by other cohorts. The Research Steering Committee has attempted to create a set of CHARGE working groups that accommodate the needs and the conventions of the various cohorts. Transparency, disclosure, and professional collaborative behavior by all participating investigators have been essential to the process.
Resource limitations are another challenge. Grant applications that funded the original single-study genome-wide genotyping effort typically imagined a much simpler design. The CHS whole-genome study had as its primary aim, for instance, the analysis of data on 3 endpoints, coronary disease, stroke and heart failure. With a score of active phenotype working groups, the CHARGE collaboration broadened the scope of the short-term work well beyond initial expectations for all the participating cohorts.
One of the premier challenges has been communications among scores of investigators at a dozen sites. CHS and ARIC are themselves multi-site studies. To be successful, the CHARGE collaboration has required effective communications: (1) within each cohort; (2) between cohorts; (3) within the CHARGE working groups; and (4) among the major CHARGE committees. In addition to the traditional methods of conference calls and email, the CHARGE “wiki,” set up by Dr J. Bis (Seattle, Wash), has provided a crucial and highly functional user-driven website for calendars, minutes, guidelines, working group analysis plans, manuscript proposals, and other documents. In the end, there is no substitute for face-to-face meetings, especially at the beginning of the collaboration, and this complex meta-organization has benefited from several CHARGE-wide meetings.
The major emerging opportunity is the collaboration with other studies and consortia. Many working groups have already incorporated nonmember studies into their efforts. Several working groups have coordinated submissions of initial manuscripts with the parallel submission of manuscripts from other studies or consortia. Several working groups have embarked on plans for joint meta-analyses between CHARGE and other consortia. CHARGE has tried to acknowledge and reward the efforts of champions, who assume leadership responsibility for moving these large complex projects forward and who are often hard-working young investigators, the key to the future success of population science.
The CHARGE Consortium represents an innovative model of collaborative research conducted by research teams that know well the strengths, the limitations, and the data from 5 prospective population-based cohort studies. By leveraging the dense genotyping, deep phenotyping and the diverse expertise, prospective meta-analyses are underway to identify and replicate the major common genetic determinants of risk factors, measures of subclinical disease, and clinical events for cardiovascular disease and aging.
SOURCE:
Circulation: Cardiovascular Genetics.2009; 2: 73-80
doi: 10.1161/ CIRCGENETICS.108.829747
Posted in Cerebrovascular and Neurodegenerative Diseases, Chemical Genetics, Genome Biology, Genomic Testing: Methodology for Diagnosis, Innovations in Neurophysiology & Neuropsychology, Neurodegenerative Diseases, Personalized and Precision Medicine & Genomic Research, Pharmaceutical R&D Investment, Pharmacogenomics, Population Health Management, Genetics & Pharmaceutical, tagged Antidepressant, Sackler Faculty of Medicine, Selective serotonin reuptake inhibitor, Tel Aviv University on December 18, 2013| Leave a Comment »
Reporter: Aviva Lev-Ari, PhD, RN
A Personal Antidepressant for Every Genome
Monday, December 9, 2013
TAU researchers discover gene that may predict human responses to specific antidepressants
Selective serotonin reuptake inhibitors (SSRIs) are the most commonly prescribed antidepressants, but they don’t work for everyone. What’s more, patients must often try several different SSRI medications, each with a different set of side effects, before finding one that is effective. It takes three to four weeks to see if a particular antidepressant drug works. Meanwhile, patients and their families continue to suffer.
Now researchers at Tel Aviv Universityhave discovered a gene that may reveal whether people are likely to respond well to SSRI antidepressants, both generally and in specific formulations. The new biomarker, once it is validated in clinical trials, could be used to create a genetic test, allowing doctors to provide personalized treatment for depression.
Doctoral students Keren Oved and Ayelet Morag led the research under the guidance of Dr. David Gurwitz of the Department of Molecular Genetics and Biochemistryat TAU’s Sackler Faculty of Medicine and Dr. Noam Shomron of the Department of Cell and Developmental Biology at TAU’s Sackler Faculty of Medicine and Sagol School of Neuroscience. Sackler faculty members Prof. Moshe Rehavi of theDepartment of Physiology and Pharmacology and Dr. Metsada Pasmnik-Chor of the Bioinformatics Unit were coauthors of the study, published in Translational Psychology.
“SSRIs only work for about 60 percent of people with depression,” said Dr. Gurwitz. “A drug from other families of antidepressants could be effective for some of the others. We are working to move the treatment of depression from a trial-and-error approach to a best-fit, personalized regimen.”
Good news for the depressed
More than 20 million Americans each year suffer from disabling depression that requires clinical intervention. SSRIs such as Prozac, Zoloft, and Celexa are the newest and the most popular medications for treatment. They are thought to work by blocking the reabsorption of the neurotransmitter serotonin in the brain, leaving more of it available to help brain cells send and receive chemical signals, thereby boosting mood. It is not currently known why some people respond to SSRIs better than others.
To find genes that may be behind the brain’s responsiveness to SSRIs, the TAU researchers first applied the SSRI Paroxetine — brand name Paxil — to 80 sets of cells, or “cell lines,” from the National Laboratory for the Genetics of Israeli Populations, a biobank of genetic information about Israeli citizens located at TAU’s Sackler Faculty of Medicine and directed by Dr. Gurwitz. The TAU researchers then analyzed and compared the RNA profiles of the most and least responsive cell lines. A gene called CHL1 was produced at lower levels in the most responsive cell lines and at higher levels in the least responsive cell lines. Using a simple genetic test, doctors could one day use CHL1as a biomarker to determine whether or not to prescribe SSRIs.
“We want to end up with a blood test that will allow us to tell a patient which drug is best for him,” said Oved. “We are at the early stages, working on the cellular level. Next comes testing on animals and people.”
Rethinking how antidepressants work
The TAU researchers also wanted to understand why CHL1 levels might predict responsiveness to SSRIs. To this end, they applied Paroxetine to human cell lines for three weeks — the time it takes for a clinical response to SSRIs. They found that Paroxetine caused increased production of the gene ITGB3 — whose protein product is thought to interact with CHL1 to promote the development of new neurons and synapses. The result is the repair of dysfunctional signaling in brain regions controlling mood, which may explain the action of SSRI antidepressants.
This explanation differs from the conventional theory that SSRIs directly relieve depression by inhibiting the reabsorption of the neurotransmitter serotonin in the brain. Dr. Shomron adds that the new explanation resolves the longstanding mystery as to why it takes at least three weeks for SSRIs to ease the symptoms of depression when they begin inhibiting reabsorption after a couple days — the development of neurons and synapses takes weeks, not days.
The TAU researchers are working to confirm their findings on the molecular level and with animal models. Adva Hadar, a master’s student in Dr. Gurwitz’s lab, is using the same approach to find biomarkers for the personalized treatment of Alzheimer’s disease.
For more psychology and psychiatry news from Tel Aviv University, click here.
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SOURCE