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Archive for the ‘Disease Biology, Small Molecules in Development of Therapeutic Drugs’ Category

The Future of Translational Medicine with Smart Diagnostics and Therapies: PharmacoGenomics

Curator: Demet Sag, PhD

Since Human Genome project is completed we saw several projects to understand function and how they relate to personal health.  These advancements hope to improve diagnostics in preventive medicine. The future of medicine may involve a personal wireless unit to detect the vital records with genomics changes and compare the assumed “healthy” state to “unhealthy” to suggest options to treat in a palm of hand.

Pharmacogenomics is the study of how genes affect a person’s response to drugs. This relatively new field combines pharmacology (the science of drugs) and genomics (the study of genes and their functions) to develop effective, safe medications and doses that will be tailored to a person’s genetic makeup.

The American Medical Association and  Critical Path Institute and the Arizona Center for Education and Research on Therapeutics developed a brochure for health care providers on pharmacogenomics. The man purpose is to help physicians to ue this information correctly by case based approach.   View an electronic version of the brochure.

Like always, there are debates and controversies but the positives outweighs the negatives in this case such as some patients with the same gene abnormality may not benefit due to his or her deficiency or polymorphisms in another connected gene so it is a system approach including origin of pathways during development. There is nothing simply white or black but like Goethe said “there are shades of gray”. This shade is light compared to one size fits all drug making.

The main idea is create safer, effective and perfect dose medication to gain health for a quality life with less expense but more beneficial outcomes.

At the same token these developments decreases the cost of making drugs since they are specific to a small population or group so there are less clinical trial time, less time for approval, less adverse affects.

Functional genomics suggests how piece of information utilized in body in a nut shell. However, use of these knowledge to develop new drugs created a new area called Pharmacogenomics. Thus, FDA included the terminology for drug labeling that contain biomarkers along with several other factors containing variation of clinical response to drug exposure, possible side or adverse effects, genotype-specific dosing, drug action mechanism,  polymorphic drug target and disposition genes.

What can be on the label: Age, Sex, Origin/Ethinicity (Asian, Caucasian, African, South Asian), gene of interest, possible SNPs, variation/polymorphisms warnings, dose etc.

Here are the FDA-approved drugs with pharmacogenomic information in their labeling:

Pharmacogenomic Biomarkers in Drug Labeling

Drug Therapeutic Area HUGO Symbol Referenced Subgroup Labeling Sections
Abacavir Infectious Diseases HLA-B HLA-B*5701 allele carriers Boxed Warning, Contraindications, Warnings and Precautions, Patient Counseling Information
Ado-Trastuzumab Emtansine Oncology ERBB2 HER2 protein overexpression or gene amplification positive Indications and Usage, Warnings and Precautions, Adverse Reactions, Clinical Pharmacology, Clinical Studies
Afatinib Oncology EGFR EGFR exon 19 deletion or exon 21 substitution (L858R) mutation positive Indications and Usage, Dosage and Administration, Adverse Reactions, Clinical Pharmacology, Clinical Studies, Patient Counseling Information
Amitriptyline Psychiatry CYP2D6 CYP2D6 poor metabolizers Precautions
Anastrozole Oncology ESR1, PGR Hormone receptor positive Indications and Usage, Clinical Pharmacology, Clinical Studies
Aripiprazole Psychiatry CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Dosage and Administration
Arsenic Trioxide Oncology PML/RARA PML/RARα (t(15;17)) gene expression positive Boxed Warning, Clinical Pharmacology, Indications and Usage, Warnings
Atomoxetine Psychiatry CYP2D6 CYP2D6 poor metabolizers Dosage and Administration, Warnings and Precautions, Drug Interactions, Clinical Pharmacology
Atorvastatin Endocrinology LDLR Homozygous familial hypercholesterolemia Indications and Usage, Dosage and Administration, Warnings and Precautions, Clinical Pharmacology, Clinical Studies
Azathioprine Rheumatology TPMT TPMT intermediate or poor metabolizers Dosage and Administration, Warnings and Precautions, Drug Interactions, Adverse Reactions, Clinical Pharmacology
Belimumab Autoimmune Diseases BAFF/TNFSF13B CD257 positive Clinical Pharmacology, Clinical Studies
Boceprevir Infectious Diseases IFNL3 IL28B rs12979860 T allele carriers Clinical Pharmacology
Bosutinib Oncology BCR/ABL1 Philadelphia chromosome (t(9;22)) positive Indications and Usage, Adverse Reactions, Clinical Studies
Brentuximab Vedotin Oncology TNFRSF8 CD30 positive Indications and Usage, Description, Clinical Pharmacology
Busulfan Oncology Ph Chromosome Ph Chromosome negative Clinical Studies
Capecitabine Oncology DPYD DPD deficient Contraindications, Warnings and Precautions, Patient Information
Carbamazepine (1) Neurology HLA-B HLA-B*1502 allele carriers Boxed Warning, Warnings and Precautions
Carbamazepine (2) Neurology HLA-A HLA-A*3101 allele carriers Boxed Warning, Warnings and Precautions
Carglumic Acid Metabolic Disorders NAGS N-acetylglutamate synthase deficiency Indications and Usage, Warnings and Precautions, Special Populations, Clinical Pharmacology, Clinical Studies
Carisoprodol Rheumatology CYP2C19 CYP2C19 poor metabolizers Clinical Pharmacology, Special Populations
Carvedilol Cardiology CYP2D6 CYP2D6 poor metabolizers Drug Interactions, Clinical Pharmacology
Celecoxib Rheumatology CYP2C9 CYP2C9 poor metabolizers Dosage and Administration, Drug Interactions, Use in Specific Populations, Clinical Pharmacology
Cetuximab (1) Oncology EGFR EGFR protein expression positive Indications and Usage, Warnings and Precautions, Description, Clinical Pharmacology, Clinical Studies
Cetuximab (2) Oncology KRAS KRAS codon 12 and 13 mutation negative Indications and Usage, Dosage and Administration, Warnings and Precautions, Adverse Reactions, Clinical Pharmacology, Clinical Studies
Cevimeline Dermatology CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Chloroquine Infectious Diseases G6PD G6PD deficient Precautions
Chlorpropamide Endocrinology G6PD G6PD deficient Precautions
Cisplatin Oncology TPMT TPMT intermediate or poor metabolizers Clinical Pharmacology, Warnings, Precautions
Citalopram (1) Psychiatry CYP2C19 CYP2C19 poor metabolizers Drug Interactions, Warnings
Citalopram (2) Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Clobazam Neurology CYP2C19 CYP2C19 poor metabolizers Clinical Pharmacology, Dosage and Administration, Use in Specific Populations
Clomipramine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Clopidogrel Cardiology CYP2C19 CYP2C19 intermediate or poor metabolizers Boxed Warning, Dosage and Administration, Warnings and Precautions, Drug Interactions, Clinical Pharmacology
Clozapine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions, Clinical Pharmacology
Codeine Anesthesiology CYP2D6 CYP2D6 poor metabolizers Warnings and Precautions, Use in Specific Populations, Clinical Pharmacology
Crizotinib Oncology ALK ALK gene rearrangement positive Indications and Usage, Dosage and Administration, Drug Interactions, Warnings and Precautions, Adverse Reactions, Clinical Pharmacology, Clinical Studies
Dabrafenib (1) Oncology BRAF BRAF V600E mutation positive Indications and Usage, Dosage and Administration, Warnings and Precautions, Clinical Pharmacology, Clinical Studies, Patient Counseling Information
Dabrafenib (2) Oncology G6PD G6PD deficient Warnings and Precautions, Adverse Reactions, Patient Counseling Information
Dapsone (1) Dermatology G6PD G6PD deficient Indications and Usage, Precautions, Adverse Reactions, Patient Counseling Information
Dapsone (2) Infectious Diseases G6PD G6PD deficient Precautions, Adverse Reactions, Overdosage
Dasatinib Oncology BCR/ABL1 Philadelphia chromosome (t(9;22)) positive; T315I mutation-positive Indications and Usage, Clinical Studies, Patient Counseling Information
Denileukin Diftitox Oncology IL2RA CD25 antigen positive Indications and Usage, Warnings and Precautions, Clinical Studies
Desipramine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Dexlansoprazole (1) Gastroenterology CYP2C19 CYP2C19 poor metabolizers Clinical Pharmacology, Drug Interactions
Dexlansoprazole (2) Gastroenterology CYP1A2 CYP1A2 genotypes Clinical Pharmacology
Dextromethorphan and Quinidine Neurology CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Warnings and Precautions, Drug Interactions
Diazepam Psychiatry CYP2C19 CYP2C19 poor metabolizers Drug Interactions, Clinical Pharmacology
Doxepin Psychiatry CYP2D6 CYP2D6 poor metabolizers Precautions
Drospirenone and Ethinyl Estradiol Neurology CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Warnings and Precautions, Drug Interactions
Eltrombopag (1) Hematology F5 Factor V Leiden carriers Warnings and Precautions
Eltrombopag (2) Hematology SERPINC1 Antithrombin III deficient Warnings and Precautions
Erlotinib (1) Oncology EGFR EGFR protein expression positive Clinical Pharmacology
Erlotinib (2) Oncology EGFR EGFR exon 19 deletion or exon 21 substitution (L858R) positive Indications and Usage, Dosage and Administration, Clinical Pharmacology, Clinical Studies
Esomeprazole Gastroenterology CYP2C19 CYP2C19 poor metabolizers Drug Interactions, Clinical Pharmacology
Everolimus (1) Oncology ERBB2 HER2 protein overexpression negative Indications and Usage, Boxed Warning, Adverse Reactions, Use in Specific Populations, Clinical Pharmacology, Clinical Studies
Everolimus (2) Oncology ESR1 Estrogen receptor positive Clinical Pharmacology, Clinical Studies
Exemestane Oncology ESR1 Estrogen receptor positive Indications and Usage, Dosage and Administration, Clinical Studies, Clinical Pharmacology
Fluorouracil (1) Dermatology DPYD DPD deficient Contraindications, Warnings, Patient Information
Fluorouracil (2) Oncology DPYD DPD deficient Warnings
Fluoxetine Psychiatry CYP2D6 CYP2D6 poor metabolizers Warnings, Precautions, Clinical Pharmacology
Flurbiprofen Rheumatology CYP2C9 CYP2C9 poor metabolizers Clinical Pharmacology, Special Populations
Fluvoxamine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Fulvestrant Oncology ESR1 Estrogen receptor positive Indications and Usage, Clinical Pharmacology, Clinical Studies, Patient Counseling Information
Galantamine Neurology CYP2D6 CYP2D6 poor metabolizers Special Populations
Glimepiride Endocrinology G6PD G6PD deficient Warning and Precautions
Glipizide Endocrinology G6PD G6PD deficient Precautions
Glyburide Endocrinology G6PD G6PD deficient Precautions
Ibritumomab Tiuxetan Oncology MS4A1 CD20 positive Indications and Usage, Clinical Pharmacology, Description
Iloperidone Psychiatry CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Dosage and Administration, Drug Interactions, Specific Populations, Warnings and Precautions
Imatinib (1) Oncology KIT c-KIT D816V mutation negative Indications and Usage, Dosage and Administration Clinical Pharmacology, Clinical Studies
Imatinib (2) Oncology BCR/ABL1 Philadelphia chromosome (t(9;22)) positive Indications and Usage, Dosage and Administration, Clinical Pharmacology, Clinical Studies
Imatinib (3) Oncology PDGFRB PDGFR gene rearrangement positive Indications and Usage, Dosage and Administration, Clincal Studies
Imatinib (4) Oncology FIP1L1/PDGFRA FIP1L1/PDGFRα fusion kinase (or CHIC2 deletion) positive Indications and Usage, Dosage and Administration, Clinical Studies
Imipramine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Indacaterol Pulmonary UGT1A1 UGT1A1 *28 allele homozygotes Clinical Pharmacology
Irinotecan Oncology UGT1A1 UGT1A1*28 allele carriers Dosage and Administration, Warnings, Clinical Pharmacology
Isosorbide and Hydralazine Cardiology NAT1-2 Slow acetylators Clinical Pharmacology
Ivacaftor Pulmonary CFTR CFTR G551D carriers Indications and Usage, Adverse Reactions, Use in Specific Populations, Clinical Pharmacology, Clinical Studies
Lansoprazole Gastroenterology CYP2C19 CYP2C19 poor metabolizer Drug Interactions, Clinical Pharmacology
Lapatinib Oncology ERBB2 HER2 protein overexpression positive Indications and Usage, Clinical Pharmacology, Patient Counseling Information
Lenalidomide Hematology del (5q) Chromosome 5q deletion Boxed Warning, Indications and Usage, Clinical Studies, Patient Counseling
Letrozole Oncology ESR1, PGR Hormone receptor positive Indications and Usage, Adverse Reactions, Clinical Studies, Clinical Pharmacology
Lomitapide Endocrinology LDLR Homozygous familial hypercholesterolemia and LDL receptor mutation deficient Indication and Usage, Adverse Reactions, Clinical Studies
Mafenide Infectious Diseases G6PD G6PD deficient Warnings, Adverse Reactions
Maraviroc Infectious Diseases CCR5 CCR5 positive Indications and Usage, Warnings and Precautions, Clinical Pharmacology, Clinical Studies, Patient Counseling Information
Mercaptopurine Oncology TPMT TPMT intermediate or poor metabolizers Dosage and Administration, Contraindications, Precautions, Adverse Reactions, Clinical Pharmacology
Methylene Blue Hematology G6PD G6PD deficient Precautions
Metoclopramide Gastroentrology CYB5R1-4 NADH cytochrome b5 reductase deficient Precautions
Metoprolol Cardiology CYP2D6 CYP2D6 poor metabolizers Precautions, Clinical Pharmacology
Mipomersen Endocrinology LDLR Homozygous familial hypercholesterolemia and LDL receptor mutation deficient Indication and Usage, Clinical Studies, Use in Specific Populations
Modafinil Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Mycophenolic Acid Transplantation HPRT1 HGPRT deficient Precautions
Nalidixic Acid Infectious Diseases G6PD G6PD deficient Precautions, Adverse Reactions
Nefazodone Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Nilotinib (1) Oncology BCR/ABL1 Philadelphia chromosome (t(9 :22)) positive Indications and Usage, Patient Counseling Information
Nilotinib (2) Oncology UGT1A1 UGT1A1*28 allele homozygotes Warnings and Precautions, Clinical Pharmacology
Nitrofurantoin Infectious Diseases G6PD G6PD deficient Warnings, Adverse Reactions
Nortriptyline Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Ofatumumab Oncology MS4A1 CD20 positive Indications and Usage, Clinical Pharmacology
Omacetaxine Oncology BCR/ABL1 BCR-ABL T315I Clinical Pharmacology
Omeprazole Gastroenterology CYP2C19 CYP2C19 poor metabolizers Dosage and Administration, Warnings and Precautions, Drug Interactions
Panitumumab (1) Oncology EGFR EGFR protein expression positive Indications and Usage, Warnings and Precautions, Clinical Pharmacology, Clinical Studies
Panitumumab (2) Oncology KRAS KRAS codon 12 and 13 mutation negative Indications and Usage, Clinical Pharmacology, Clinical Studies
Pantoprazole Gastroenterology CYP2C19 CYP2C19 poor metabolizers Clinical Pharmacology, Drug Interactions, Special Populations
Paroxetine Psychiatry CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Drug Interactions
Pazopanib Oncology UGT1A1 (TA)7/(TA)7 genotype (UGT1A1*28/*28) Clinical Pharmacology, Warnings and Precautions
PEG-3350, Sodium Sulfate, Sodium Chloride, Potassium Chloride, Sodium Ascorbate, and Ascorbic Acid Gastroenterology G6PD G6PD deficient Warnings and Precautions
Peginterferon alfa-2b Infectious Diseases IFNL3 IL28B rs12979860 T allele carriers Clinical Pharmacology
Pegloticase Rheumatology G6PD G6PD deficient Contraindications, Patient Counseling Information
Perphenazine Psychiatry CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Drug Interactions
Pertuzumab Oncology ERBB2 HER2 protein overexpression positive Indications and Usage, Warnings and Precautions, Adverse Reactions, Clinical Studies, Clinical Pharmacology
Phenytoin Neurology HLA-B HLA-B*1502 allele carriers Warnings
Pimozide Psychiatry CYP2D6 CYP2D6 poor metabolizers Warnings, Precautions, Contraindications, Dosage and Administration
Ponatinib Oncology BCR/ABL1 Philadelphia chromosome (t(9;22)) positive, BCR –ABL T315I mutation Indications and Usage, Warnings and Precautions, Adverse Reactions, Use in Specific Populations, Clinical Pharmacology, Clinical Studies
Prasugrel Cardiology CYP2C19 CYP2C19 poor metabolizers Use in Specific Populations, Clinical Pharmacology, Clinical Studies
Pravastatin Endocrinology LDLR Homozygous familial hypercholesterolemia and LDL receptor deficient Clinical Studies, Use in Specific Populations
Primaquine Infectious Diseases G6PD G6PD deficient Warnings and Precautions, Adverse Reactions
Propafenone Cardiology CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology
Propranolol Cardiology CYP2D6 CYP2D6 poor metabolizers Precautions, Drug Interactions, Clinical Pharmacology
Protriptyline Psychiatry CYP2D6 CYP2D6 poor metabolizers Precautions
Quinidine Cardiology CYP2D6 CYP2D6 poor metabolizers Precautions
Quinine Sulfate Infectious Diseases G6PD G6PD deficient Contraindications, Patient Counseling Information
Rabeprazole Gastroenterology CYP2C19 CYP2C19 poor metabolizers Drug Interactions, Clinical Pharmacology
Rasburicase Oncology G6PD G6PD deficient Boxed Warning, Contraindications
Rifampin, Isoniazid, and Pyrazinamide Infectious Diseases NAT1-2 Slow inactivators Adverse Reactions, Clinical Pharmacology
Risperidone Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions, Clinical Pharmacology
Rituximab Oncology MS4A1 CD20 positive Indication and Usage, Clinical Pharmacology, Description, Precautions
Rosuvastatin Endocrinology LDLR Homozygous and Heterozygous familial hypercholesterolemia Indications and Usage, Dosage and Administration, Clinical Pharmacology, Clinical Studies
Sodium Nitrite Antidotal Therapy G6PD G6PD deficient Warnings and Precautions
Succimer Hematology G6PD G6PD deficient Clinical Pharmacology
Sulfamethoxazole and Trimethoprim Infectious Diseases G6PD G6PD deficient Precautions
Tamoxifen (1) Oncology ESR1, PGR Hormone receptor positive Indications and Usage, Precautions, Medication Guide
Tamoxifen (2) Oncology F5 Factor V Leiden carriers Warnings
Tamoxifen (3) Oncology F2 Prothrombin mutation G20210A Warnings
Telaprevir Infectious Diseases IFNL3 IL28B rs12979860 T allele carriers Clinical Pharmacology
Terbinafine Infectious Diseases CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Tetrabenazine Neurology CYP2D6 CYP2D6 poor metabolizers Dosage and Administration, Warnings, Clinical Pharmacology
Thioguanine Oncology TPMT TPMT poor metabolizer Dosage and Administration, Precautions, Warnings
Thioridazine Psychiatry CYP2D6 CYP2D6 poor metabolizers Precautions, Warnings, Contraindications
Ticagrelor Cardiology CYP2C19 CYP2C19 poor metabolizers Clinical Studies
Tolterodine Urology CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology, Drug Interactions, Warnings and Precautions
Tositumomab Oncology MS4A1 CD20 antigen positive Indications and Usage, Clinical Pharmacology
Tramadol Analgesic CYP2D6 CYP2D6 poor metabolizers Clinical Pharmacology
Trametinib Oncology BRAF BRAF V600E/K mutation positive Indications and Usage, Dosage and Administration, Adverse Reactions, Clinical Pharmacology, Clinical Studies, Patient Counseling Information
Trastuzumab Oncology ERBB2 HER2 protein overexpression positive Indications and Usage, Warnings and Precautions, Clinical Pharmacology, Clinical Studies
Tretinoin Oncology PML/RARA PML/RARα (t(15;17)) gene expression positive Clinical Studies, Indications and Usage, Warnings
Trimipramine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Valproic Acid (1) Neurology POLG POLG mutation positive Boxed Warning, Contraindications, Warnings and Precautions
Valproic Acid (2) Neurology NAGS, CPS1, ASS1, OTC, ASL, ABL2 Urea cycle enzyme deficient Contraindications, Warnings and Precautions, Adverse Reactions, Medication Guide
Velaglucerase Alfa Metabolic Disorders GBA Lysosomal glucocerebrosidase enzyme Indication and Usage, Description, Clinical Pharmacology, Clinical Studies
Vemurafenib Oncology BRAF BRAF V600E mutation positive Indications and Usage, Warning and Precautions, Clinical Pharmacology, Clinical Studies, Patient Counseling Information
Venlafaxine Psychiatry CYP2D6 CYP2D6 poor metabolizers Drug Interactions
Voriconazole Infectious Diseases CYP2C19 CYP219 intermediate or poor metabolizers Clinical Pharmacology, Drug Interactions
Warfarin (1) Cardiology or Hematology CYP2C9 CYP2C9 intermediate or poor metabolizers Dosage and Administration, Drug Interactions, Clinical Pharmacology
Warfarin (2) Cardiology or Hematology VKORC1 VKORC1 rs9923231 A allele carriers Dosage and Administration, Clinical Pharmacology

References and Further Readings:

 

There are several practical applications pharmacogenomics in cancer, depression, cardiovascular disease and drug metabolism that is used today.  Some of these included in the following references:

JAMA 2004; 291(23) 2821-2827.

Useful Links:

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Summary of Genomics and Medicine: Role in Cardiovascular Diseases

Summary of Genomics and Medicine: Role in Cardiovascular Diseases

Author: Larry H. Bernstein, MD, FCAP

The articles within Chapters and Subchapters you have just read have been organized into four interconnected parts.
  1. Genomics and Medicine
  2. Epigenetics – Modifyable Factors Causing CVD
  3. Determinants of CVD – Genetics, Heredity and Genomics Discoveries
  4. Individualized Medicine Guided by Genetics and Genomics Discoveries
The first part established the
  • rapidly evolving science of genomics
  • aided by analytical and computational tools for the identification of nucleotide substitutions, or combinations of them
that have a significant association with the development of
  • cardiovascular diseases,
  • hypercoagulable state,
  • atherosclerosis,
  • microvascular disease,
  • endothelial disruption, and
  • type-2DM, to name a few.
These may well be associated with increased risk for stroke and/or peripheral vascular disease in some cases,
  • essentially because the involvement of the circulation is systemic in nature.

Part 1

establishes an important connection between RNA and disease expression.  This development has led to
  • the necessity of a patient-centric approach to patient-care.
When I entered medical school, it was eight years after Watson and Crick proposed the double helix.  It was also
  • the height of a series of discoveries elucidating key metabolic pathways.
In the period since then there have been treatments for some of the important well established metabolic diseases of
  • carbohydrate,
  • protein, and
  • lipid metabolism,
such as –  glycogen storage disease, and some are immense challenges, such as
  • Tay Sachs, or
  • Transthyretin-Associated amyloidosis.
But we have crossed a line delineating classical Mendelian genetics to
  • multifactorial non-linear traits of great complexity and
involving combinatorial program analyses to resolve.
The Human Genome Project was completed in 2001, and it has opened the floodgates of genomic discovery.  This resulted in the identification of
genomic alterations in
  • cardiovascular disease,
  • cancer,
  • microbial,
  • plant,
  • prion, and
  • metabolic diseases.
This has also led to
  • the identification of genomic targets
  • that are either involved in transcription or
  • are involved with cellular control mechanisms for targeted pharmaceutical development.
In addition, there is great pressure on the science of laboratory analytics to
  • codevelop with new drugs,
  • biomarkers that are indicators of toxicity or
  • of drug effectiveness.
I have not mentioned the dark matter of the genome. It has been substantially reduced, and has been termed dark because
  • this portion of the genome is not identified in transcription of proteins.
However, it has become a lightning rod to ongoing genomic investigation because of
  • an essential role in the regulation of nuclear and cytoplasmic activities.
Changes in the three dimensional structure of these genes due to
  • changes in Van der Waal forces and internucleotide distances lead to
  • conformational changes that could have an effect on cell activity.

Part 2

is an exploration of epigenetics in cardiovascular diseases.  Epigenetics is
  • the post-genomic modification of genetic expression
  • by the substitution of nucleotides or by the attachment of carbohydrate residues, or
  • by alterations in the hydrophobic forces between sequences that weaken or strengthen their expression.
This could operate in a manner similar to the conformational changes just described.  These changes
  • may be modifiable, and they
  • may be highly influenced by environmental factors, such as
    1. smoking and environmental toxins,
    2. diet,
    3. physical activity, and
    4. neutraceuticals.
While neutraceuticals is a black box industry that evolved from
  • the extraction of ancient herbal remedies of agricultural derivation
    (which could be extended to digitalis and Foxglove; or to coumadin; and to penecillin, and to other drugs that are not neutraceuticals).

The best examples are the importance of

  • n-3 fatty acids, and
  • fiber
  • dietary sulfur (in the source of methionine), folic acid, vitamin B12
  • arginine combined with citrulline to drive eNOS
  • and of iodine, which can’t be understated.
In addition, meat consumption involves the intake of fat that contains

  • the proinflammatory n-6 fatty acid.

The importance of the ratio of n-3/n-6 fatty acids in diet is not seriously discussed when

  • we look at the association of fat intake and disease etiology.
Part 2 then leads into signaling pathways and proteomics. The signaling pathways are
  • critical to understanding the inflammatory process, just as
  • dietary factors tie in with a balance that is maintained by dietary intake,
    • possibly gut bacteria utilization of delivered substrate, and
    • proinflammatory factors in disaease.
These are being explored by microfluidic proteomic and metabolomic technologies that were inconceivable a half century ago.
This portion extended into the diagnosis of cardiovascular disease, and
  • elucidated the relationship between platelet-endothelial interaction in the formation of vascular plaque.
It explored protein, proteomic, and genomic markers
  1. for identifying and classifying types of disease pathobiology, and
  2. for following treatment measures.

Part 3

connected with genetics and genomic discoveries in cardiovascular diseases.

Part 4

is the tie between life style habits and disease etiology, going forward with
  • the pursuit of cardiovascular disease prevention.
The presentation of walking and running, and of bariatric surgery (type 2DM) are fine examples.
It further discussed gene therapy and congenital heart disease.  But the most interesting presentations are
  • in the pharmacogenomics for cardiovascular diseases, with
    1. volyage-gated calcium-channels, and
    2. ApoE in the statin response.

This volume is a splendid example representative of the entire collection on cardiovascular diseases.

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Introduction to Genomics and Epigenomics Roles in Cardiovascular Diseases

Introduction to Genomics and Epigenomics Roles in Cardiovascular Diseases

Author and Curator: Larry H Bernstein, MD, FCAP

This introduction is to a thorough evaluation of a rich source of research literature on the genomic influences, which may have variable strength in the biological causation of atherosclerosis, microvascular disease, plaque formation, not necessarily having expressing, except in a multivariable context that includes the environment, dietary factors, level of emotional stress, sleep habits, and the daily activities of living for affected individuals.  The potential of genomics is carried in the DNA, copied to RNA, and this is most well studied in the micro RNAs (miRNA).  The miRNA has been explored for the appearance in the circulation of specific miRNAs that might be associated with myocyte or endothelial cell injury, and they are also being used as targets for therapeutics by the creation of silencing RNAs (siRNA).  The extent to which there is evidence of success in these studies is limited, but is being translated from animal studies to human disease.  There is also a long history of the measurement of  circulating enzymes and isoenzymes (alanine amino transferase, creatine kinase, and lactate dehydrogenase, not to leave out the adenylate kinase species specific to myocardium), and more recently the release of troponins I and T, and the so far still not fully explored ischemia modified albumin, or of miRNAs for the diagnosis of myocardial infarction.

There is also a significant disagreement about the value of measuring high sensitivity C reactive protein (hs-CRP), which has always been a marker for systemic inflammatory disease, in both chronic rheumatic and infectious diseases having a broad range, so that procalcitonin has appeared to be better for that situation, and for early diagnosis of sepsis. The hs-CRP has been too easily ignored because of

1. the ubiquitous elevations in the population
2. the expressed concerns that one might not be inclined to treat a mild elevation without other risk factors, such as, LDL cholesterolemia, low HDL, absent diabetes or obesity.  Nevertheless, hs-CRP raises an reasonable argument for preventive measures, and perhaps the use of a statin.

There has been a substantial amount of work on the relationship of obesity to both type 2 diabetes mellitus (T2DM) and to coronary vascular disease and stroke.  Here we bring in the relationship of the vascular endothelium, adipose tissue secretion of adiponectin, and platelet activation.  A whole generation of antiplatelet drugs addresses the mechanism of platelet activation, adhession, and interaction with endothelium.   Very interesting work has appeared on RESISTIN, that could bear some fruit in the treatment of both obesity and T2DM.

It is important to keep in mind that epigenomic gene rearrangements or substitutions occur throughout life, and they may have an expression late in life.  Some of the known epigenetic events occur with some frequency, but the associations are extremely difficult to pin down, as well as the strength of the association.  In a population that is not diverse, epigenetic changes are passed on in the population in the period of childbearing age.  The establishment of an epigenetic change is diluted in a diverse population.  There have been a number of studies with different findings of association between cardiovascular disease and genetic mutations in the Han and also in the Uyger Chinese populations, which are distinctly different populations that is not part of this discussion.

This should be sufficient to elicit broad appeal in reading this volume on cardiovascular diseases, and perhaps the entire series.  Below is a diagram of this volume in the series.

PART 1 – Genomics and Medicine
Introduction to Genomics and Medicine (Vol 3)
Genomics and Medicine: The Physician’s View
Ribozymes and RNA Machines
Genomics and Medicine: Genomics to CVD Diagnoses
Establishing a Patient-Centric View of Genomic Data
VIDEO:  Implementing Biomarker Programs ­ P Ridker PART 2 – Epigenetics – Modifiable
Factors Causing CVD
Diseases Etiology
   Environmental Contributors
Implicated as Causing CVD
   Diet: Solids and Fluid Intake
and Nutraceuticals
   Physical Activity and
Prevention of CVD
   Psychological Stress and
Mental Health: Risk for CVD
   Correlation between
Cancer and CVD
PART 3  Determinants of CVD – Genetics, Heredity and Genomics Discoveries
Introduction
    Why cancer cells contain abnormal numbers of chromosomes (Aneuploidy)
     Functional Characterization of CV Genomics: Disease Case Studies @ 2013 ASHG
     Leading DIAGNOSES of CVD covered in Circulation: CV Genetics, 3/2010 – 3/2013
     Commentary on Biomarkers for Genetics and Genomics of CVD
PART 4 Individualized Medicine Guided by Genetics and Genomics Discoveries
    Preventive Medicine: Cardiovascular Diseases
    Walking and Running: Similar Risk Reductions for Hypertension, Hypercholesterolemia,
DM, and possibly CAD
http://pharmaceuticalintelligence.com/2013/04/04/walking-and-running-similar-risk-reductions-for-hypertension-hypercholesterolemia-dm-and-possibly-cad/
    Prevention of Type 2 Diabetes: Is Bariatric Surgery the Solution?
http://pharmaceuticalintelligence.com/2012/08/23/prevention-of-type-2-diabetes-is-bariatric-surgery-the-solution/
Gene-Therapy for CVD
Congenital Heart Disease/Defects
   Medical Etiologies: EBM – LEADING DIAGNOSES, Risks Pharmacogenomics for Cardio-
vascular Diseases
   Signaling Pathways     Response to Rosuvastatin in
Patients With Acute Myocardial Infarction:
Hepatic Metabolism and Transporter Gene
Variants Effect
http://pharmaceuticalintelligence.com/2014/
01/02/response-to-rosuvastatin-in-patients-
with-acute-myocardial-infarction-hepatic-
metabolism-and-transporter-gene-variants-effect/
   Proteomics and Metabolomics      Voltage-Gated Calcium Channel and Pharmaco-
genetic Association with Adverse Cardiovascular
Outcomes: Hypertension Treatment with Verapamil
SR (CCB) vs Atenolol (BB) or Trandolapril (ACE)
http://pharmaceuticalintelligence.com/2014/01/02/
voltage-gated-calcium-channel-and-pharmacogenetic-
association-with-adverse-cardiovascular-outcomes-
hypertension-treatment-with-verapamil-sr-ccb-vs-
atenolol-bb-or-trandolapril-ace/
      SNPs in apoE are found to influence statin response
significantly. Less frequent variants in
PCSK9 and smaller effect sizes in SNPs in HMGCR
http://pharmaceuticalintelligence.com/2014/01/02/snps-in-apoe-are-found-to-influence-statin-response-significantly-less-frequent-variants-in-pcsk9-and-smaller-effect-sizes-in-snps-in-hmgcr/

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Diagnostic Value of Cardiac Biomarkers

Diagnostic Value of Cardiac Biomarkers

Author and Curator: Larry H Bernstein, MD, FCAP 

These presentations covered several views of the utilization of cardiac markers that have evolved for over 60 years.  The first stage was the introduction of enzymatic assays and isoenzyme measurements to distinguish acute hepatitis and acute myocardial infarction, which included lactate dehydrogenase (LD isoenzymes 1, 2) at a time that late presentation of the patient in the emergency rooms were not uncommon, with the creatine kinase isoenzyme MB declining or disappeared from the circulation.  The world health organization (WHO) standard definition then was the presence of two of three:

1. Typical or atypical precordial pressure in the chest, usually with radiation to the left arm

2. Electrocardiographic changes of Q-wave, not previously seen, definitive; ST- elevation of acute myocardial injury with repolarization;
T-wave inversion.

3. The release into the circulation of myocardial derived enzymes –
creatine kinase – MB (which was adapted to measure infarct size), LD-1,
both of which were replaced with troponins T and I, which are part of the actomyosin contractile apparatus.

The research on infarct size elicited a major research goal for early diagnosis and reduction of infarct size, first with fibrinolysis of a ruptured plaque, and this proceeded into the full development of a rapidly evolving interventional cardiology as well as cardiothoracic surgery, in both cases, aimed at removal of plaque or replacement of vessel.  Surgery became more imperative for multivessel disease, even if only one vessel was severely affected.

So we have clinical history, physical examination, and emerging biomarkers playing a large role for more than half a century.  However, the role of biomarkers broadened.  Patients were treated with antiplatelet agents, and a hypercoagulable state coexisted with myocardial ischemic injury.  This made the management of the patient reliant on long term followup for Warfarin with the international normalized ratio (INR) for a standardized prothrombin time (PT), and reversal of the PT required transfusion with thawed fresh frozen plasma (FFP).  The partial thromboplastin test (PPT) was necessary in hospitalization to monitor the heparin effect.

Thus, we have identified the use of traditional cardiac biomarkers for:

1. Diagnosis
2. Therapeutic monitoring

The story is only the beginning.  Many patients who were atypical in presentation, or had cardiovascular ischemia without plaque rupture were problematic.  This led to a concerted effort to redesign the troponin assays for high sensitivity with the concern that the circulation should normally be free of a leaked structural marker of myocardial damage. But of course, there can be a slow leak or a decreased rate of removal of such protein from the circulation, and the best example of this would be the patient with significant renal insufficiency, as TnT is clear only through the kidney, and TNI is clear both by the kidney and by vascular endothelium.  The introduction of the high sensitivity assay has been met with considerable confusion, and highlights the complexity of diagnosis in heart disease.  Another test that is used for the diagnosis of heart failure is in the class of natriuretic peptides (BNP, pro NT-BNP, and ANP), the last of which has been under development.

While there is an exponential increase in the improvement of cardiac devices and discovery of pharmaceutical targets, the laboratory support for clinical management is not mature.  There are miRNAs that may prove valuable, matrix metalloprotein(s), and potential endothelial and blood cell surface markers, they require

1. codevelopment with new medications
2. standardization across the IVD industry
3. proficiency testing applied to all laboratories that provide testing
4. the measurement  on multitest automated analyzers with high capability in proteomic measurement  (MS, time of flight, MS-MS)

nejmra1216063_f1   Atherosclerotic Plaques Associated with Various Presentations               nejmra1216063_f2     Inflammatory Pathways Predisposing Coronary Arteries to Rupture and Thrombosis.        atherosclerosis progression

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Curation, HealthCare System in the US, and Calcium Signaling Effects on Cardiac Contraction, Heart Failure, and Atrial Fibrillation, and the Relationship of Calcium Release at the Myoneural Junction to Beta Adrenergic Release

Curation, HealthCare System in the US, and Calcium Signaling Effects on Cardiac Contraction, Heart Failure, and Atrial Fibrillation, and the Relationship of Calcium Release at the Myoneural Junction to Beta Adrenergic Release

Curator and e-book Contributor: Larry H. Bernstein, MD, FCAP
Curator and BioMedicine e-Series Editor-in-Chief: Aviva Lev Ari, PhD, RN

and 

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

This portion summarises what we have covered and is now familiar to the reader.  There are three related topics, and an extension of this embraces other volumes and chapters before and after this reading.  This approach to the document has advantages over the multiple authored textbooks that are and have been pervasive as a result of the traditional publication technology.  It has been stated by the founder of ScoopIt, that amount of time involved is considerably less than required for the original publications used, but the organization and construction is a separate creative process.  In these curations we amassed on average five articles in one curation, to which, two or three curators contributed their views.  There were surprises, and there were unfulfilled answers along the way.  The greatest problem that is being envisioned is the building a vision that bridges and unmasks the hidden “dark matter” between the now declared “OMICS”, to get a more real perspective on what is conjecture and what is actionable.  This is in some respects unavoidable because the genome is an alphabet that is matched to the mino acid sequences of proteins, which themselves are three dimensional drivers of sequences of metabolic reactions that can be altered by the accumulation of substrates in critical placements, and in addition, the proteome has functional proteins whose activity is a regulatory function and not easily identified.  In the end, we have to have a practical conception, recognizing the breadth of evolutionary change, and make sense of what we have, while searching for more.

We introduced the content as follows:

1. We introduce the concept of curation in the digital context, and it’s application to medicine and related scientific discovery.

Topics were chosen were used to illustrate this process in the form of a pattern, which is mostly curation, but is significantly creative, as it emerges in the context of this e-book.

  • Alternative solutions in Treatment of Heart Failure (HF), medical devices, biomarkers and agent efficacy is handled all in one chapter.
  • PCI for valves vs Open heart Valve replacement
  • PDA and Complications of Surgery — only curation could create the picture of this unique combination of debate, as exemplified of Endarterectomy (CEA) vs Stenting the Carotid Artery (CAS), ischemic leg, renal artery stenosis.

2. The etiology, or causes, of cardiovascular diseases consist of mechanistic explanations for dysfunction relating to the heart or vascular system. Every one of a long list of abnormalities has a path that explains the deviation from normal. With the completion of the analysis of the human genome, in principle all of the genetic basis for function and dysfunction are delineated. While all genes are identified, and the genes code for all the gene products that constitute body functions, there remains more unknown than known.

3. Human genome, and in combination with improved imaging methods, genomics offers great promise in changing the course of disease and aging.

4. If we tie together Part 1 and Part 2, there is ample room for considering clinical outcomes based on individual and organizational factors for best performance. This can really only be realized with considerable improvement in information infrastructure, which has miles to go.

Curation

Curation is an active filtering of the web’s  and peer reviewed literature found by such means – immense amount of relevant and irrelevant content. As a result content may be disruptive. However, in doing good curation, one does more than simply assign value by presentation of creative work in any category. Great curators comment and share experience across content, authors and themes.
Great curators may see patterns others don’t, or may challenge or debate complex and apparently conflicting points of view.  Answers to specifically focused questions comes from the hard work of many in laboratory settings creatively establishing answers to definitive questions, each a part of the larger knowledge-base of reference. There are those rare “Einstein’s” who imagine a whole universe, unlike the three blindmen of the Sufi tale.  One held the tail, the other the trunk, the other the ear, and they all said this is an elephant!
In my reading, I learn that the optimal ratio of curation to creation may be as high as 90% curation to 10% creation. Creating content is expensive. Curation, by comparison, is much less expensive.  The same source says “Scoop.it is my content marketing testing “sandbox”. In sharing, he says that comments provide the framework for what and how content is shared.

Healthcare and Affordable Care Act

We enter year 2014 with the Affordable Care Act off to a slow start because of the implementation of the internet signup requiring a major repair, which is, unfortunately, as expected for such as complex job across the US, and with many states unwilling to participate.  But several states – California, Connecticut, and Kentucky – had very effective state designed signups, separate from the federal system.  There has been a very large rush and an extension to sign up. There are many features that we can take note of:

1. The healthcare system needed changes because we have the most costly system, are endowed with advanced technology, and we have inexcusable outcomes in several domains of care, including, infant mortality, and prenatal care – but not in cardiology.

2. These changes that are notable are:

  • The disparities in outcome are magnified by a large disparity in highest to lowest income bracket.
  • This is also reflected in educational status, and which plays out in childhood school lunches, and is also affected by larger class size and cutbacks in school programs.
  • This is not  helped by a large paralysis in the two party political system and the three legs of government unable to deal with work and distraction.
  • Unemployment is high, and the banking and home construction, home buying, and rental are in realignment, but interest rates are problematic.

3.  The  medical care system is affected by the issues above, but the complexity is not to be discounted.

  •  The medical schools are unable at this time to provide the influx of new physicians needed, so we depend on a major influx of physicians from other countries
  • The technology for laboratories, proteomic and genomic as well as applied medical research is rejuvenating the practice in cardiology more rapidly than any other field.
  • In fields that are imaging related the life cycle of instruments is shorter than the actual lifetime use of the instruments, which introduces a shortening of ROI.
  • Hospitals are consolidating into large consortia in order to maintain a more viable system for referral of specialty cases, and also is centralizing all terms of business related to billing.
  • There is reduction in independent physician practices that are being incorporated into the hospital enterprise with Part B billing under the Physician Organization – as in Partners in Greater Boston, with the exception of “concierge” medical practices.
  • There is consolidation of specialty laboratory services within state, with only the most specialized testing going out of state (Quest, LabCorp, etc.)
  • Medicaid is expanded substantially under the new ACA.
  • The federal government as provider of services is reducing the number of contractors for – medical devices, diabetes self-testing, etc.
  • The current rearrangements seeks to provide a balance between capital expenses and fixed labor costs that it can control, reduce variable costs (reagents, pharmaceutical), and to take in more patients with less delay and better performance – defined by outside agencies.

Cardiology, Genomics, and calcium ion signaling and ion-channels in cardiomyocyte function in health and disease – including heart failure, rhythm abnormalities, and the myoneural release of neurotransmitter at the vesicle junction.

This portion is outlined as follows:

2.1 Human Genome: Congenital Etiological Sources of Cardiovascular Disease

2.2 The Role of Calcium in Health and Disease

2.3 Vasculature and Myocardium: Diagnosing the Conditions of Disease

Genomics & Genetics of Cardiovascular Disease Diagnoses

actin cytoskeleton

wall stress, ventricular workload, contractile reserve

Genetic Base of Atherosclerosis and Loss of Arterial Elasticity with Aging

calcium and actin skeleton, signaling, cell motility

hypertension & vascular compliance

Genetics of Conduction Disease

Ca+ stimulated exostosis: calmodulin & PKC (neurotransmitter)

complications & MVR

disruption of Ca2+ homeostasis cardiac & vascular smooth muscle

synaptotagmin as Ca2+ sensor & vesicles

atherosclerosis & ion channels


It is increasingly clear that there are mutations that underlie many human diseases, and this is true of the cardiovascular system.  The mutations are mistakes in the insertion of a purine nucleotide, which may or may not have any consequence.  This is why the associations that are being discovered in research require careful validation, and even require demonstration in “models” before pursuing the design of pharmacological “target therapy”.  The genomics in cardiovascular disease involves very serious congenital disorders that are asserted early in life, but the effects of and development of atherosclerosis involving large and medium size arteries has a slow progression and is not dominated by genomic expression.  This is characterized by loss of arterial elasticity. In addition there is the development of heart failure, which involves the cardiomyocyte specifically.  The emergence of regenerative medical interventions, based on pleuripotent inducible stem cell therapy is developing rapidly as an intervention in this sector.

Finally, it is incumbent on me to call attention to the huge contribution that research on calcium (Ca2+) signaling has made toward the understanding of cardiac contraction and to the maintenance of the heart rhythm.  The heart is a syncytium, different than skeletal and smooth muscle, and the innervation is by the vagus nerve, which has terminal endings at vesicles which discharge at the myocyte junction.  The heart specifically has calmodulin kinase CaMK II, and it has been established that calmodulin is involved in the calcium spark that triggers contraction.  That is only part of the story.  Ion transport occurs into or out of the cell, the latter termed exostosis.  Exostosis involves CaMK II and pyruvate kinase (PKC), and they have independent roles.  This also involves K+-Na+-ATPase.  The cytoskeleton is also discussed, but the role of aquaporin in water transport appears elsewhere, as the transport of water between cells.  When we consider the Gibbs-Donnan equilibrium, which precedes the current work by a century, we recall that there is an essential balance between extracellular Na+ + Ca2+ and the intracellular K+ + Mg2+, and this has been superceded by an incompletely defined relationship between ions that are cytoplasmic and those that are mitochondrial.  The glass is half full!

 

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Larry H Bernstein, MD, Reviewer and Content Advisor
Stephen Williams, PhD, Cancer Editor
http://pharmaceuticalintelligence.com/2013-12-24/larryhbern/
Ecdysteroid-Dioxolanes-as-MDR-Modulators-in Cancer

This article is a presentation on drug research and development in cancer therapeutics
introducing structure activity relationships of a novel class of oncotherapeutic drugs –
ecdysteroid dioxolanes as MDR modulators. Ecdysteroids are the molting hormones
of insects, and they have nonsteroidal activity in mammals. However, they have been
found to have an effect on certain derivatives on the ABCB1 transporter mediated
multidrug resistance (MDR) of a transfected murine leukemia cell line. The following
study focused on the apolar dioxolane derivatives of 20-hydroxyecdysone.

Synthesis and Structure-Activity Relationships of
Novel 
Ecdysteroid Dioxolanes as MDR Modulators in Cancer

Ana Martins 1,2,†,*, József Csábi 3,†, Attila Balázs 4, Diána Kitka 1,
Leonard Amaral 5, József Molnár 1, András Simon 6, Gábor Tóth 6
and Attila Hunyadi 3,*

1 Department of Medical Microbiology and Immunobiology,
University of Szeged, Szeged Hungary;
2 Unidade de Parasitologia e Microbiologia Médica, Institute of
Hygiene and Tropical Medicine, Universidade Nova de Lisboa,
Lisbon, Portugal
3 Institute of Pharmacognosy, Faculty of Pharmacy, University
of Szeged, Szeged, Hungary;
Ubichem Research Ltd., Budapest, Hungary;
4 Center for Malaria and Other Tropical Diseases (CMDT),
Institute of Hygiene and Tropical Medicine, Universidade Nova
de Lisboa, Lisbon,
Portugal;
5 Department of Inorganic and Analytical Chemistry, Budapest
University of Technology and 
Economics, Budapest, Hungary;
*correspondence; E-Mails: martins.a@pharm.u-szeged.hu (A.M.);
hunyadi.a@pharm.u-szeged.hu (A.H.);

Molecules 2013, 18, 15255-15275;
 http://dx.doi.org/10.3390/molecules181215255

Keywords: 
ecdysteroids; 20-hydroxyecdysone; acetonide; dioxolane;
stereochemistry; cancer; multi-drug resistance;
P-glycoprotein; ABCB1 transporter; efflux pump

Abstract:
Ecdysteroids, molting hormones of insects, can exert several mild, 

  • non-hormonal bioactivities in mammals,

including humans. In a previous study, we found a significant effect of 

  • derivatives on the ABCB1 transporter mediated multi-drug resistance

of a transfected murine leukemia cell line. In this paper, we present

  • a structure-activity relationship study of the apolar dioxolane
    derivatives of 20-hydroxyecdysone.

Semi-synthesis and bioactivity of a total of 32 ecdysteroids,
including 20 new compounds, is presented
, supplemented

  • with their complete 1H- and 13C-NMR signal assignment.

1. Introduction

Ecdysteroids represent a large family of steroid hormones that play a crucial role in
arthropods’physiology. The most abundant representative of these compounds,

  • 20-hydroxyecdysone (20E), regulates
    • the reproduction,
    • embryogenesis,
    • diapause and
    • molting of arthropods [1].

Their role in plants is still to be fully understood, but it had been suggested that
they have importance in

  • several plants as defensive agents against non-adapted herbivores [2].

An estimated 5%–6% of the terrestrial plant species

  • accumulate detectable levels of ecdysteroids, among which
    • Ajuga, Serratula and Silene spp.,
  • containing high amounts of these compounds, are
    • good sources of  ecdysteroids of herbal origin [3].

Ecdysteroids generally retain the cholesterol-originated side-chain, typically

  • contain 27–29 carbon atoms and
    • are substituted with 4–8 hydroxyl groups.
  • their A/B ring junction is usually cis, and
    • a characteristic 7-en-6-one

(α,β-unsaturated ketone) chromophore group is present in their B-ring [4].

Due to their significantly different structure as compared to the
vertebrate steroid hormones, these compounds

  • have no hormonal effects in humans [5].

On the other hand, a number of beneficial 

  • metabolic effects are attributed to them [4–6], which has
  • encouraged the production and worldwide marketing of food supplements,
  • mainly containing the isolated ecdysteroid compound 20E [6].

In our recent studies, we found that certain ecdysteroid derivatives significantly

  • decrease the resistance of a multi-drug resistant (MDR) murine leukemia cell line
  • expressing the human ABCB1 transporter to doxorubicin,
    • a chemotherapeutic agent and a
    • substrate of the ABCB1 transporter, and

we discussed the possible mechanisms that might be involved in this activity [7].
Based on the observed structure-activity relationships 

  • of the isolated and semi-synthesized ecdysteroids, 
  • 20-hydroxyecdysone 2,3;20,22-diacetonide (1)
was chosen as the most promising lead. Although 
  • the acetonide moiety is generally utilized as
  • a protecting group for vicinal diols
    (which needs a strong acidic environment for removal),
  • and it is also an important structural element of certain drugs, 

such as triamcinolone acetonide (

not a pro-drug for triamcinolone but

has),
having

different pharmacological and pharmacokinetical properties [8].
Based on our previous work,

we have synthesized

  • additional dioxolane derivatives and
  • thoroughly discussed their structure elucidation and stereochemistry [9].
In 

the study reported herein we present the

  • synthesis,
  • structure and
  • MDR-modulating activity

of 32  ecdysteroid dioxolanes, including 20 new derivatives, and

  • provide insights on
    • their structure-activity relationships 

2. Results and Discussion

2.1. Semi-Synthesis

Having a common protecting group of vicinal diols, the acetonide,

  • 32 compounds containing one or two dioxolane rings were
  • synthesized from 20-hydroxyecysone
  • with various aldehydes and ketones
    • in the presence of phosphomolybdic acid.

A summary of the reactions performed and their product structures are presented
in Figure 1.

Figure 1. Semi-synthetic transformations of 20E
and structures of the products obtained.

Substituents of the reagent oxo-compound (X1/X2 and X3/X4) 

  • typically correspond to R1/R2 and R2/R3respectively, 

except for compounds 18 and 19, where the reagent was methyl-ethyl ketone. C-15
was obtained as a side product in the synthesis of 23.
1H- and 13C-NMR data of the
new compounds 
are presented in Tables 1–3.  To facilitate the comparison between

  • the NMR signals of structurally analogous hydrogen and carbon atoms
    • in the different dioxolane compounds,

we applied a special numbering system

  • for the central atoms (C-28 and C-29) of
    • the 2,3- and 20,22-dioxolane structures.

Compounds containing similar number of carbon atoms are presented
in one table, and

  • compounds with the highest structural similarity are presented
    in neighbouring columns.
Martins + Amaral molecules-18-15255  MDR modulators in tumor cells  Fig 1
Table 1. 1H- and 13C-NMR shifts of compounds 4, 6, 22, 30, 33, 9 and 10; in ppm, in methanol-d4.
(go to source)
Table 2. 1H- and 13C-NMR shifts of compounds 16–20 and 26–27; in ppm, in methanol-d4.
(go to source)
Table 3. 1H- and 13C-NMR shifts of compounds 11–14; 31 and 32; in ppm, in methanol-d4.
(go to source)

As published before [9], the 20,22-diol moiety of 20E 

  • is more reactive than the 2,3-diol, probably
  • due tothe free rotation of the 20,22-bond of 20E that
  • allows the 20,22-dioxolane ring to form with less strain.

This allowed us to selectively obtain the 20,22-mono-dioxolane derivatives 2–14,
or, depending on the amount of reagent and the reaction time, the

  • 2,3;20,22-bis-homo-dioxolanes 17 and 21–25.

By utilizing the 20,22-monodioxolane ecdysteroids, another aldehyde or ketone

  • could be coupled to position 2,3, resulting in  
  • several bis-hetero-dioxolane derivatives 26–33

For this, however,  gradually decreasing reactivity with the increase of 

  • the size of the reagent was a limiting factor: larger aldehydes or ketones
    (mainly those containing a substituted aromatic ring) 
  • could not be coupled at the 2,3-position

The 2,3-monodioxolane derivatives also appeared to be present 

  • as minor side-products of the reactions,

and as a consequence of their low amount, only one such compound (C-15) was isolated
and studied. 
To selectively obtain this kind of a compound (16) in a more reasonable
yield, another, 
three-step approach was successfully applied:

  1. after protecting the 20,22-diol with phenylboronic acid,
  2. the 2,3-acetonide could be prepared, and
  3. removal of the 20,22 protecting group

afforded the desired 2,3-monoacetonide in a one-pot procedure.

In the case of the reactions with aldehydes or asymmetric ketones, the new

  • C-28 and C-29 central atoms of the  dioxolane rings  are stereogenic centers
  • two possible diastereomers can be formed at both diols.

Their configuration was elucidated by

  • two-dimensional ROESY or
  • selective one-dimensional ROESY experiments,

e.g., in the doubly substituted dioxolane derivative 22
(R1 = R4 = n-Bu, R2 = R3 = H) the unambiguous differentiation of the

  • 1H and 13C signals of the two n-butyl groups 

was achieved in the following way (see Figure 2).

Figure 2. Stereostructure of 22. 

Martins + Amaral molecules-18-15255  MDR modulators in tumor cells  Fig. 3_page_007

Red arrows indicate the detected ROESY steric proximities, the blue numbers
give the characteristic 1H, and the black numbers the 13C chemical shifts.

Assignment of the H-C(28) atoms (δ = 4.93/105.9 ppm) was supported by

  • the H-2/C-28 and H-3/C-28 HMBC correlations, and
  • that of H-C(29) (δ = 4.91/105.6 ppm) by the H-22/C-29 cross peak

The selective  ROESY experiment irradiating at 4.93 ppm

  • showed contacts with the Hα-2 and Hα-3 atoms 
  • proving the α position of the R2 = H atom. 

The ROESY response obtained irradiating H = R3 signal (δ = 4.91) on H-22 (δ = 3.64 ppm) 

  • revealed their cis arrangement and the R configuration around C-29.
  • assignments of the signals of the two n-butyl groups R1 and R4  

    • were achieved by selective TOCSY experiments
      (irradiation at δ = 4.93 and 4.91, respectively).

In case of the C-28-epimers, typically an approximately 1:1 yield was obtained, and a good
separation was  achieved by simple  chromatographic  methods (see below). On the other hand,
possibly due to steric reasons,

  • the longer chain of the reagent was highly selective in the α-position
    • in the 20,22-dioxolane moiety.

This selectivity was, however, decreased in cases

  • when larger moieties were present in the reagent,

such as substituted aromatic rings, resulting in the appearance of the other epimers
These epimer pairs (compounds 11-12 and 13-14) required high-performance liquid
chromatography (HPLC) for their successful separation. C-10  was isolated by HPLC
as a minor product from the preparation of C-9; this compound, considering

  • the vicinal coupling constant of the olefinic hydrogen atoms
    (J = 11.8 Hz) contains a Z double bond,

and most likely originated from an impurity in the trans-cinnamic aldehyde reagent used.
C-18 and C-19  were the only cases where one of the dioxolane rings was formed with

  • the elimination of ethanol instead of water, losing an 
  • ethyl group from the reagent methyl ethyl ketone.
2.2. Anti-Proliferative Effect of Ecdysteroid Derivatives on
PAR and MDR Mouse Lymphoma Cells 

The anti-proliferative activity of the derivatives was determined by

  • incubation of each of the cell lines with
      • serial dilutions of  the  compounds.

Inhibitory concentrations (IC50) were calculated and are presented in Table 4.

Table 4. IC50 values of the ecdysteroid derivatives and fluorescence activity ratio (FAR)

values determined in presence of 2 and 20 μM of compound. IC50—inhibitory concentration
(concentration of compound that inhibits 50% of cell growth); IC50 values are presented as
the average of 3 independent experiments ± the standard error of the mean (SEM);
*— the compound showed cytotoxicity at this concentration and it was not possible to
calculate the FAR value; FAR values of the positive control verapamil (20.4 μM) and the negative
control DMSO (0.2%) were 5.73 and 0.72, respectively.

As seen from the table, several compounds

  • exert much lower anti-proliferative activity on the MDR cell line
    as  compared to the parental one,

while other compounds show similar activities on both cell lines.

2.3. Inhibition of the ABCB1 Pump of MDR Mouse Lymphoma Cells
(Rhodamine 123 Accumulation Assay)

Accumulation of rhodamine 123 by MDR mouse lymphoma cells
was evaluated by flow cytometry
 

  • in the presence of the newly described compounds
  • in order to study their capacity to inhibit the ABCB1 pump and
  • therefore prevent the efflux of the dye,

which was consequentially retained inside the MDR cell.
Parental mouse lymphoma cells were used as control 

  • for dye retention inside the cell 
  • while MDR cells alone do not retain rhodamine 123 at
    the concentration employed

The efflux pump inhibitor (EPI) verapamil was used as positive control.
All the 
compounds were dissolved in DMSO, which was also evaluated for 

  • any effect on the retention of the fluorochrome.

DMSO concentration in the assay was 0.2%. For each compound, 

  • the fluorescence activity ratio (FAR), which measures
  • the  amount of rhodamine 123 accumulated by the cell 
  • in presence of the compound was calculated as follows:

FAR = (FLMDRtreated/FLMDRuntreated)/(FLPARtreated/FLPARuntreated) (1)

where FL is the mean of the fluorescence. The obtained results are shown by Table 4.

Martins + Amaral molecules-18-15255  MDR modulators in tumor cells  Table 4_page_009

As seen from the table, the compounds

  • showed marked differences according to their capacity to inhibit the efflux of rhodamine 123 in this bioassay:

from the practically inactive (compounds 5, 7, 9, 10, 12 and 20) to the very strong (compounds 6, 8, 14 and 25),
various activities were observed.
Most interestingly, these results did not always conform to those obtained from the combination studies, for example,
no significant differences can be observed

  • between the combination indices of compounds 20 and 25, and
  • compound 3, very weak in this assay, was able to act in a rather significant synergism with doxorubicin (see below). 

These observations seem to support our initial theory, that 

  • these compounds are not or not exclusively acting as EPIs

but other mechanisms may also be involved in their activity [7].2.4. Combination Studies: Effect of Ecdysteroid Derivatives on the Activity of Doxorubicin on MDR Mouse Lymphoma Cells

Effect of the newly synthesized derivatives was evaluated on checkerboard 96-cell plates with different concentrations of
doxorubicin and compound after  48 h of  incubation of the cells, similarly to our previous approach [7]. Combination
indices for the  different constant ratios of  compound vs.doxorubicin were determined by using the CompuSyn software  to plot four to five data points to each ratio. CI values were calculated by means of the median-effect equation [10], where

CI < 1, CI = 1, and CI > 1  represent

  1. synergism,
  2. additive effect (i.e., no interaction), and
  3. antagonism, respectively.

The CI values are presented on Table 5. Combination index plots (or Fa-CI plots, where Fa is the fraction affected) were
also generated for each compound using serial deletion analysis in order to determine variability of the data [10]. An example
of Fa-CI plot is given by Figure 3 for compounds 1, 5 and 15.

Figure 3. Fraction affected (Fa) vs. combination index (CI) value plot for compounds 5 and 15, in comparison with the original lead compound 1. 

Martins + Amaral molecules-18-15255  MDR modulators in tumor cells  Fig 3

Table 5. 

Combination index (CI) values at different drug ratios (compound vs. doxorubicin, respectively) at 50, 75 and 90% of growth inhibition (ED50, ED75
and ED90, respectively); CIavg— weighted average CI value; CIavg = (CI50 + 2CI75 + 3CI90)/6. CI < 1, CI = 1, and CI > 1 represent

  • synergism,
  • additivity, and
  • antagonism, respectively.

Dm, m, and r represent antilog of the x-intercept, slope, and

  •  linear correlation coefficient of the median-effect plot, respectively.

As seen from Table 5, all compounds acted synergistically with doxorubicin and their behavior followed our previous observation,

Error bars represent 95% confidence intervals by means of serial deletion analysis performed with the CompuSyn software.
The 2,3-mono-dioxolane derivative 15 represents significantly

  • stronger synergism with doxorubicin than the corresponding 20,22-dioxolane derivative 5 at practically all activity levels,  and above Fa = 0.7 (which, in case of cancer, matters the most [10])
  • it is also stronger than compound 1.  
    • in case of all ecdysteroids there seems to be an “ideal” compound vs. doxorubicin ratio 
      • where the strongest synergistic effect occurs. 

Based on the variability of the mono-, homo-di- and hetero-di-substituted compounds, as well as

  • that of the coupled substituents at R1–R4, several novel structure-activity relationships (SARs) were observed.

According to this, we followed our previous approach [7]—for each compound, the strongest activity by

  • means of the weighted average CI values was primarily considered for comparison,

regardless of the  compound vs. doxorubicin ratio where this activity was found.

  1. the 2,3-dioxolane moiety is far more important for a strong activity, than the one at  positions 20,22.  compound 15, monosubstituted at position 2,3, was the only ecdysteroid derivative that was able to exert a stronger activity at its best ratio than our original lead, the diacetonide
    compound 1 (Figure 3). 
  2. A very interesting SAR was revealed by comparing the activity of the C-28 and C-29 epimer pairs:
    at C-28, the larger substituent needs to take the α‐position 
    (24 vs. 25), while at C-29 the β-position
    for a stronger activity (cf. 11 vs. 12 and 13 vs. 14). 
  3. As concerns the 20,22-monodioxolanes, increasing the length of the side chains coupled to C-29 lead to a significant increase in the synergistic activity with doxorubicin 

till the length  of three carbon  atoms  (compound 3), however a longer alkyl substituent (compound 4) 

appeared to be less preferable. Introducing larger aromatic groups did not lead to a breakthrough, although  further substituents on the aromatic ring (compounds 11, 13) were able to increase activity as compared to the
case when a non-substituted phenyl group was present (compound 7).
Addition of a β-methyl group to C-29 could significantly improve the activity as compared to that of

  • the 29α-phenyl substituted derivative  (cf. 8 vs. 7, respectively).

The observed structure-activity relationships are summarized in Figure 4.

Figure 4. SAR summary for compounds 1–33.

Martins + Amaral molecules-18-15255  MDR modulators in tumor cells  Fig. 2

“Greater than” symbols denote stronger synergistic activities, i.e., lower weighted average CI values
when applied together with doxorubicin.

3. Experimental

3.1 General Information

The starting material 20E (90%, originated from the roots of Cyanotis arachnoidea) was purchased
from Shaanxi KingSci Biotechnology Co., Ltd. (Shanghai, China), and further purified by crystallization
from ethyl acetate–methanol (2:1, v/v), so that purity of 20E utilized for the semi-syntheses was 97.8%,
by means of HPLC-DAD, maximum absorbance within the range of 220–400 nm. Mono- and disubstituted
ecdysteroid  dioxolanes were synthesized as published before [9]. Briefly, the starting compound was
reacted with the aldehyde  or ketone  to be coupled to positions 20,22 and/or 2,3 in the presence of
phosphomolybdic acid (Lach-Ner, Neratovice, Czech Republic) at room temp. for 5–60 min depending  on the target compound. The reaction was terminated by neutralizing the pH with a 5% aqueous solution  of NaHCO3 (Merck, Munich, Germany), methanol was evaporated until only water was present, and the
product(s) were extracted with methylene chloride. Column chromatography (CC), rotational planar
chromatography (RPC) and/or crystallization was used for purification, as detailed below. Solvent system
compositions are given in v/v%. For RPC, a Chromatotron device  (Harrison Research, Palo Alto)
was used.  The separation was monitored with thin layer chromatography (TLC) on silica gel 60 F254
(0.25 μm, Merck). HPLC purification of compounds 9–14 was performed on a gradient system of two
Jasco PU2080 pumps connected to a Jasco MD-2010 Plus photodiode – array detector, on a Zorbax
XDB-C8 column (5 μm, 9.6 × 250 mm) at a flow rate of 3 mL/min. Mass spectra were recorded on an
API 2000 triple quadrupole tandem mass spectrometer (AB SCIEX, Foster City, CA) in positive mode with
atmospheric pressure chemical ionization  (APCI) ion source except for compound 29 which was measured
with electron-spray ionization (ESI). 1H- (500.1) and 13C- (125.6) MHz 
NMR spectra were recorded at  room temperature on an Avance 500 spectrometer (Bruker, Billerica, MA). For the examples of compounds
 3, 5, 7, 8, 15, 21, 23–25, 28 and 29, structure elucidation of ecdysteroid dioxolanes by comprehensive one-
and two-dimensional NMR methods 
has recently been discussed in detail elsewhere, including experimental
details for the aforementioned compounds [9]. Regarding the new compounds, amounts of approximately
1–10 mg were dissolved in 0.1 mL of methanol-d4 and transferred to a 2.5 mm Bruker MATCH NMR sample
tube. Chemical shifts are given on the δ-scale and are referenced to the solvent (MeOH-d4: δC = 49.1 and δH =
3.31 ppm).  Pulse programs of all experiments (1H, 13C, DEPTQ, DEPT-135, sel-TOCSY, sel-ROE, sel-NOE,
gradient-selected (gs) 1H, 1H-COSY, edited gs-HSQC, gs-HMBC, ROESY) were taken from the Bruker software
library.  Most 1H assignments were accomplished  using general knowledge of chemical shift dispersion with
the aid of the proton-proton coupling pattern (1H-NMR spectra).

3.2. Semi-Synthesis and Purification of Monosubstituted Ecdysteroid Dioxolane Derivatives 2–16

20E was dissolved in methanol (10 mL, Merck) to a final concentration of 100 mM or 25 mM in case of compounds
9, 10, 13, 14, and the corresponding reagent (3: butyraldehyde, 4: valeraldehyde, 5: 3-pentanone, 6: methyl isobutyl
ketone, 10 equivalents each; 7: benzaldehyde,  5 g; 8: acetophenone, 6 g; 9, 10: cinnamaldehyde, 11, 12: vanillin, 13, 14:
4-benzyloxybenzaldehyde, 10 equivalents each; 15: 3-pentanone, 100 equivalents; (compound 15 was obtained from the
synthesis of 25, see below) was added to the solution.  Phosphomolybdic acid (1.00 g) was added (except in the  case  of  the synthesis of 9 and 10, when 0.50 g were added) and the mixture was stirred at room temp. for 10 min (except for  7: 5 min, 8: 60 min, 15: 30 min). In the case of compound 16, 20E was dissolved in methanol (10 mL) to a final
concentration  of 100 mM, and after adding phenylboronic acid (1 equivalent), the mixture was stirred for 30 min.
Acetone (500 equivalents) and phoshomolybdic acid (0.5 g) were added to the mixture, and after 1 h stirring a solution
of NaOH and H2O2 was added in order to remove the phenyl-boronate group. Then, the reaction was worked up as
described above. Compounds 3, 4, 7, 8, a mixture of 9-10, and compounds 15 and 16 were obtained from RPC on silica
gel with appropriate solvent systems of ethyl acetate-ethanol-water (3, 4) or cyclohexane-ethyl acetate (7, 8, 9-10, 15, 16).
The purification of compounds 11-12 and 13-14 started with CC by using solvent systems of ethyl acetate-ethanol-water.
Isomer pairs 9-10, 11-12 and 13-14 were isolated by RP-HPLC (9, 10: 75% CH3OH aq., 3 mL/min; 11, 12: 70% CH3OH
aq., 3 mL/min;  13, 14: 80%  CH3OH aq., 3 mL/min). Compounds 2, 5 and 6 were recrystallized from acetonitrile without
chromatographic purification. The yields were:
2 (236.6 mg, 45.43%), 3 (116.2 mg, 21.7%), 4 (142.8 mg, 26.0%), 5 (183.5 mg, 33.4%), 6 (71.9 mg, 25.2%), 7 (292.5 mg, 51.4%),
8 (196.8 mg, 33.8%), 9 (27.0 mg, 18.5%), 10 (13.9 mg, 9.4%), 11 (156.3 mg, 25.4%), 12 (67.0 mg, 10.9%), 13 (67.3 mg, 39.9%),
14 (33.7 mg, 20.0%), 15 (27.4 mg, 5.0%), 16 (13.3 mg, 10.2%).

3.3. Semi-Synthesis and Purification of Disubstituted Ecdysteroid Derivatives 17–25 in One-Step

20E (17–20: 200 mg; 21–25: 480 mg) was dissolved in methyl-ethyl ketone (20 mL, compounds 17–20) or methanol (10 mL)
and the reagent was added to the solution  (21: butyraldehyde, 100 equivalents, 22: valeraldehyde, 100 equivalents, 23: 3-pentanone,
100 equivalents, 24, 25: benzaldehyde, 5 g).  Phosphomolybdic acid was added (17–20: 20 mg; 21–25: 0.50 g), and the mixture was
stirred at room temperature for 5 (17–20, 24–25) or 30 (21–23) min. The reactions were worked up as described above, and the
products were isolated by RPC using the appropriate n-hexane-acetone (17–20) or cyclohexane-ethyl acetate-ethanol (21–25) solvent
systems. As a side-product of the reaction of 20E with methyl ethyl ketone, 20 was obtained as a 20,22-onodioxolane derivative. The
yields were:
17 (15.5 mg, 6.3%), 18 (4.9 mg, 2.1%), 19  (8.4 mg, 3.6%),  20 (4.46 mg, 2.0%) 21 (242.4 mg, 41.2%), 22 (134.5 mg, 21.8%),
23 (42.3 mg, 6.9%), 24 (36.1 mg, 5.5%), 25 (43.8 mg, 6.7%).

3.4. Semi-Synthesis and Purification of Disubstituted Ecdysteroid Derivatives 26–33 in Two-Steps

Previously obtained 20,22-monosubstituted compounds (2, 20.7 mg; 3, 40.0 mg; 5, 40.7 mg; 6, 50.0 mg; 7, 57.0 mg; 8, 87.3 mg; 2, 104.0 mg)
were dissolved in methyl ethyl ketone (2 mL, 26 and 27) or in methanol (5 mL) and the reagent (28–32: acetone, 500 equivalents; 33: butyraldehyde,
500 equivalents) was added to the solution. Phosphomolybdic acid (26, 27: 20 mg; 28–32: 0.5 g) was added to the solution, and the mixture was
stirred at room  temperature for 5 (26, 27) or 60 (28–33) min. The reactions were terminated and the products were purified as described above for
the disubstituted derivatives. The yields were: 26 (5.1 mg, 23.1%), 27 (5.1 mg, 23.1%), 28 (10.9 mg, 25.4%), 29 (15.8 mg, 36.2%), 30 (15.5 mg, 28.9%),
31 (24.8 mg, 40.6%), 32 (38.7 mg, 41.5%), 33 (53.0 mg, 46.2%).

3.5. Further Experimental Data for the New Compounds

(see Archival supplement)

3.6. Preparation of the Compounds for the Bioassays

Each compound was dissolved in 99.5% DMSO (Sigma, Munich, Germany). In each protocol DMSO was always tested
as solvent control and no activity was observed.

3.7. Cell Lines

Two mouse lymphoma cell lines were used in this work: a parental (PAR) cell line, L5178 mouse T-cell lymphoma cells (ECACC
catalog no.87111908,  U.S. FDA, Silver Spring, MD); and a multi-drug resistant (MDR) cell line derived from PAR by transfection
with pHa  MDR1/A  retrovirus [11]. MDR cell line was selected by culturing the infected cells with 60 μg/L colchicine. Both cell
lines were cultured in McCoy’s 5A  medium supplemented with 10% heat inactivated horse serum, L-glutamine, and antibiotics
(penicillin and streptomycin) at 37 °C and 5% CO2 atmosphere [12].

Medium, horse serum, and antibiotics were purchased from Difco (Detroit, MI).

3.8. Anti-proliferative Assay

Anti-proliferative activities on PAR and MDR cell lines were performed as described before [7].  Briefly, 6 × 103 cells/well were
incubated with serial dilutions of each compound (n = 3) in McCoy’s 5 A medium for 72 h at 37 °C, 5% CO2. Then, MTT (Sigma) [13]
was added to  each well  at  a final concentration of 0.5 mg/mL per well) and after 4 h of incubation, 100 μL of SDS 10% (Sigma) in
0.01 M HCl was added to each well. Plates were further incubated overnight and optical density at 540 and 630 nm using an ELISA
reader (Multiskan EX, Thermo Labsystem, Milford, MA). Fifty percent inhibitory concentrations (IC50) were calculated using non-linear regression curve fitting of log(inhibitor) vs. response and variable slope  with a least squares (ordinary) fit of GraphPad Prism 5
software (GraphPad Software, San Diego, CA,).

3.9. Inhibition of ABCB1 Pump of MDR Mouse Lymphoma Cells (Rhodamine 123 Accumulation Assay)

Inhibition of ABCB1 was evaluated using rhodamine 123, a fluorescent dye, which retention inside the cells was evaluated by flow cytometry (14).
Briefly, 2 × 106 cells/mL were treated with 2 and 20 μM of each compound. After 10 min incubation, rhodamine 123 (Sigma) was added to a final
concentration of 5.2 μM and the samples were incubated at 37 °C in water bath for 20 min. Samples were centrifuged (2,000 rpm, 2 min) and washed
twice with phosphate buffer saline (PBS, Sigma). The final samples were re-suspended in 0.5 mL PBS and its fluorescence measured with a  Partec  CyFlow flow cytometer (Partec, Münster, Germany). Verapamil (Sanofi-Synthelabo, Budapest, Hungary) at 20.4 μM was used as positive control.

3.10. Combination Assays

The combined activity of doxorubicin (Teva, Budapest, Hungary) and the ecdysteroids was determined using the checkerboard microplate method, as
described before [7]. Briefly, 5 × 104 cells/well were incubated with doxorubicin and the compound to be tested for 48 h at 37 °C under 5% CO2. Cell
viability rate was determined through MTT staining, as described above. The interaction was evaluated using the CompuSyn software (CompuSyn Inc.,
Paramus, NJ) at each constant ratio of compound vs. doxorubicin (M/M), and combination index (CI) values were obtained for 50%, 75%, and 90% of
growth inhibition.

4. Conclusions

In the present study, we have prepared 32 semi-synthetic derivatives of 20-hydroxy- ecdysone,following our previously observed structure-activity  relationships on the strong synergistic activity of ecdysteroid dioxolanes with doxorubicin on a murine MDR cancer cell line expressing the human ABCB1
transporter. By utilizing the different reactivity of the 2,3 and 20,22 vicinal diol moieties, various bis-homo- and bis-hetero-dioxolanes were synthesized,
as well as  several 20,22- and two 2,3-monodioxolane derivatives. In addition to these, two epimer pairs were also obtained.  Twenty compounds are reported  for the first time; their chemical structures were thoroughly investigated by comprehensive 1 and 2D-NMR methods, based on which complete signal
assignments are provided.  The compounds showed mild to very strong synergistic effects with doxorubicin  against the aforementioned MDR cancer cell  line, and the diversity of the substituents allowed us to observe several new structure-activity relationships. Among these, the importance of the 2,3-dioxolane substitution and the observations concerning the role of stereochemistry at C-28 and C-29 are the most interesting results. Apparently, ecdysteroids can be engineered to become strong MDR modulators only by decreasing the polarity at the A-ring, while the polar side-chain can be kept, providing the  possibility for designing such compounds with a reasonable water solubility and high drug-likeness.

Considering the high importance of the 2,3-dioxolane group in our compounds and the fact that exactly this part is the most sensitive to an  acidic environment,
per os application of these compounds requires an appropriate formulation; development of such delivery systems is currently in process,  investigation on their  activity against MDR cancer xenografts is going to be reported in the near future.

Acknowledgments

The authors acknowledge the support from the European Union co-funded by the European Social Fund (TÁMOP 4.2.2/B-10/1-2010-0012,
TÁMOP 4.2.2.A-11/1/KONV-2012-0035) and the Fundação para a Ciência e a Tecnologia (FCT), Portugal (PEsT-OE/SAU/UI0074/2011).  A. Martins was supported by the grant SFRH/BPD/81118/2011, FCT, Portugal. The work presented here was performed within the framework
of COST Action CM1106, Chemical Approaches to Targeting Drug Resistance in Cancer Stem Cells. The authors thank Nikoletta Jedlinszki for
the mass spectroscopic measurements, Imre Ocsovszki, supported by the grant TÁMOP-4.2.1/B-09/KONV-2010-0005, for the flow cytometry  measurements and Ibolya Hevérné Herke for the semi-synthetic preparation and purification of compounds 17–20.

The authors declare no conflict of interest.

References

1. Karlson, P. Mode of Action of Ecdysones. In Invertebrate Endocrinology and Hormonal Heterophylly; Burdette, W.B., Ed.; Springer:
Berlin/Heidelberg, Germany, 1974; pp. 43–54.

2. Zeleny, J.; Havelka, J.; Sláma, K. Hormonally mediated insect-plant relationships: Arthropod populations associated with ecdysteroid-containing plant, Leuzea carthamoides (Asteraceae). Eur J. Entomol. 1997, 94, 183–198.

3. Dinan, L. A strategy for the identification of ecdysteroid receptor agonists and antagonists from plants. Eur. J. Entomol. 1995, 92, 271–283.

4. Tóth, N.; Hunyadi, A.; Báthori, M.; Zádor, E. Phytoecdysteroids and vitamin D analogues—Similarities in structure and mode of action.
Curr. Med. Chem. 2010, 17, 1974–1994.

5. Báthori, M.; Tóth, N.; Hunyadi, A.; Márki, Á.; Zádor, E. Phytoecdysteroids and anabolic- androgenic steroids. Structure and
effects on humans.  Curr. Med. Chem. 2008, 15, 75–91.

6. Dinan, L. The Karlson lecture. Phytoecdysteroids: What use are they? Arch. Arch. Insect Biochem. Physiol. 2009, 72, 126–141.

7. Martins, A.; Tóth, N.; Ványolós, A.; Béni, Z.; Zupkó, I.; Molnár, J.; Báthori, M.; Hunyadi, A. Significant activity of ecdysteroids on
the resistance to doxorubicin in mammalian cancer cells expressing the human ABCB1 transporter J. Med. Chem. 2012, 55, 5034–5043.

8. Möllmann, H.; Rohdewald, P.; Schmidt, E.W.; Salomon, V.; Derendorf, H. Pharmacokinetics of triamcinolone acetonide and its
phosphate ester. Eur. J. Clin. Pharmacol. 1985, 29, 85–89.

9. Balázs, A.; Hunyadi, A.; Csábi, J.; Jedlinszki, N.; Martins, A.; Simon, A.; Tóth, G. 1H- and 13C-NMR investigation of 20-hydroxyecdysone
dioxolane  derivatives, a novel group of MDR modulator agents. Magn. Reson. Chem. 2013, 51, 830−836.

10. Chou, T.-C. Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies.
Pharmacol. Rev. 2006, 58, 621−681.

11. Pastan, I.; Gottesman, M.M.; Ueda, K.; Lovelace, E.; Rutherford, A.V.; Willingham, M.C. A retrovirus carrying an MDR1 cDNA confers
multidrug resistance and polarized expression of P-glycoprotein in MDCK cells. Proc. Natl. Acad. Sci. USA 1988, 85, 4486−4490.

12. Choi, K.; Frommel, T.O.; Stern, R.K.; Perez, C.F.; Kriegler, M.; Tsuruo, T.; Roninson, I.B. Multidrug resistance after retroviral transfer of
the human MDR1 gene correlates with P-glycoprotein density in the plasma membrane and is not affected by cytotoxic selection.

13. Proc. Natl. Acad. Sci. USA 1991, 88, 7386−7390. 13. Mosmann, T. Rapid colorimetric assay for cellular growth and survival: Application to
proliferation and cytotoxicity assays. J. Immunol. Methods 1983, 65, 55−63.

Sample Availability: Samples of the compounds 1–33 are available from the authors.
© 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article

Archival Supplement

29α-Butyl-20,22-O-methylidene-20-hydroxyecdysone (4): white needle-like crystals; mp 197–199 °C; for 1H- and 13C-NMR data, see
Table 1; APCI-MS, m/z (Irel, %): 549 [M+H]+, 531 [M+H-H2O]+, 445, 427, 409.

29α-I-butyl-29β-methyl-20,22-O-methylidene-20-hydroxyecdysone (6): white needle-like crystals; mp 198–199 °C; for 1H- and 13C-NMR
data, see Table 1; APCI-MS, m/z (Irel, %): 563 [M+H]+, 545 [M+H-H2O]+, 445, 427, 409.

29α-E-ethenylbenzyl-20,22-O-methylidene-20-hydroxyecdysone (9): white solid; mp. 161–163 °C; for 1H- and 13C-NMR data, see Table 1,
in addition to this, the vicinal coupling constant of the olefinic hydrogen atoms (J = 16.0 Hz) proved the E configuration of the double bond;
APCI-MS, m/z (Irel, %): 595 [M+H]+, 577 [M+H-H2O]+, 445, 427, 409.

29α-Z-ethenylbenzyl-20,22-O-methylidene-20-hydroxyecdysone (10): white solid; mp 138–140 °C; for 1H- and 13C-NMR data, see
Table 1; APCI-MS, m/z (Irel, %): 595 [M+H]+, 577 [M+H-H2O]+, 445, 427, 409.

29α-(3-Methoxy-4-hydroxyphenyl)-20,22-O-methylidene-20-hydroxyecdysone (11): white solid; mp 163–165 °C; for 1H- and 13C-NMR
data, see Table 3; APCI-MS, m/z (Irel, %): 615 [M+H]+, 597 [M+H-H2O]+, 445, 427, 409.

29β-(3-Methoxy-4-hydroxyphenyl)-20,22-O-methylidene-20-hydroxyecdysone (12): white solid; mp 157–159 °C; for 1H- and 13C-NMR
data, see Table 3; APCI-MS, m/z (Irel, %): 615 [M+H]+, 597 [M+H-H2O]+, 445, 427, 409.

29α-(4-Benzyloxyphenyl)-20,22-O-methylidene-20-hydroxyecdysone (13): white solid; mp 144–146 °C; for 1H- and 13C-NMR data, see
Table 3; APCI-MS, m/z (Irel, %): 675 [M+H]+, 445, 427, 409.

29β-(4-Benzyloxyphenyl)-20,22-O-methylidene-20-hydroxyecdysone (14): white solid; mp 139–141 °C; for 1H- and 13C-NMR data, see
Table 3; APCI-MS, m/z (Irel, %): 675 [M+H]+, 445, 427, 409.

20-Hydroxyecdysone 2,3-acetonide (16): white solid; mp 124–126 °C; for 1H- and 13C-NMR data, see Table 2; APCI-MS, m/z (Irel, %):
553 [M+H+MeOH]+, 535, 503, 485, 467, 409.

28α,29α-Diethyl-28β,29β-dimethyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (17): white solid; mp 98–100 °C; for 1H- and
13C-NMR data, see Table 2; APCI-MS, m/z (Irel, %): 589 [M+H]+, 571 [M+H-H2O]+, 499, 481, 409.

28α,29α-Dimethyl-28β-ethyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (18): white solid; mp 99–101 °C; for 1H- and 13C-
NMR data, see Table 2; APCI-MS, m/z (Irel, %): 561 [M+H]+, 543 [M+H-H2O]+, 499, 481, 409.

28β,29β-Dimethyl-29α-ethyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (19): white solid; mp 79–81 °C; for 1H- and 13C-
NMR data, see Table 2; APCI-MS, m/z (Irel, %): 561 [M+H]+, 543 [M+H-H2O]+, 471, 453, 409.

29α-Ethyl-29β-methyl-20,22-O-methylidene-20-hydroxyecdysone (20): white solid; mp 140–142 °C; for 1H- and 13C-NMR data, see
Table 2; APCI-MS, m/z (Irel, %): 535 [M+H]+, 517 [M+H-H2O]+, 445, 427, 409.

28β,29α-Dibutyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (22): transparent crystals; mp 186–187 °C; for 1H- and 13C-NMR
data, see Table 1; APCI-MS, m/z (Irel, %): 617 [M+H]+, 599 [M+H-H2O]+, 513, 495, 409.

28β,29,29-Trimethyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (26): white solid; mp 100–102 °C; for 1H- and 13C-NMR data,
see Table 2; APCI-MS, m/z (Irel, %): 547 [M+H]+, 517, 499, 467, 409.

28α,29,29-Trimethyl-28β-ethyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (27) white solid; mp 360–362 °C; for 1H- and 13C-
NMR data, see Table 2; APCI-MS, m/z (Irel, %): 575 [M+H]+, 557 [M+H-H2O]+, 499, 481, 409.

28,28,29β-Trimethyl-29α-i-buthyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (30): transparent solid; mp 114–115 °C; for 1H-
and 13C-NMR data, see Table 1; APCI-MS, m/z (Irel, %): 603 [M+H]+, 585 [M+H-H2O]+, 485, 467, 409.

28,28-Dimethyl-29α-phenyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (31): white solid; mp 114–117 °C; for 1H- and 13C-NMR
data, see Table 3; APCI-MS, m/z (Irel, %): 641 [M+H+MeOH]+, 623, 517, 485, 467, 409.

28,28,29β-Trimethyl-29α-phenyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (32): white solid; mp 126–128 °C; for 1H- and 13C-
NMR data, see Table 3; APCI-MS, m/z (Irel, %): 623 [M+H]+, 605 [M+H-H2O]+, 485, 467, 409.

28β-Propyl-29,29-dimethyl-2,3;20,22-bis-O-methylidene-20-hydroxyecdysone (33): transparent solid; mp 109–111 °C; for 1H- and 13C-
NMR data, see Table 1; APCI-MS, m/z (Irel, %): 575 [M+H]+, 557 [M+H-H2O]+, 499, 481.

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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

Professor David Lichtstein Elected Dean of Hebrew University’s Faculty of Medicine

December 2, 2013

Jerusalem — Professor David Lichtstein has been elected dean of the Faculty of Medicine at The Hebrew University of Jerusalem. Professor Lichtstein is the Walter & Greta Stiel Chair in Heart Studies at The Hebrew University. He replaces Professor Eran Leitersdorf, who recently completed his four-year term as dean.

According to Professor Lichtstein, “The Hebrew University’s Faculty of Medicine is devoted to creating innovative teaching, research and patient care programs that will meet the demands of 21st century health care. As global health care moves towaProfessor David Lichtsteinrd prevention, wellness and cost effectiveness, we are adapting how we train the next generation of physicians, nurses, pharmacists and biomedical researchers. Through fruitful collaborations between preclinical and clinical faculty, we are also translating basic biomedical insights into clinical treatments. Thus, the Faculty of Medicine is well-positioned to maintain its leading role in the scientific community of Israel and the world.”

Professor Lichtstein was born in Lodz, Poland, and immigrated to Israel with his family in 1957. As a student at The Hebrew University, he completed a Bachelor’s degree in Physiology and Zoology in 1970, followed by a Master’s degree in Physiology in 1972 and a Ph.D. in Physiology in 1977. He joined the Department of Physiology of The Hebrew University-Hadassah Medical School in 1980 as a lecturer, and received full professorship in 1994. Prof. Lichtstein has held many roles at The Hebrew University and its Faculty of Medicine, including Chairman of the Neurobiology Teaching Division, Chairman of the Department of Physiology, Chairman of the Institute for Medical Sciences and, until recently, Chairman of the Faculty of Medicine. From 2007 to 2011, Professor Lichtstein was the Jacob Gitlin Chair in Physiology at The Hebrew University. In 2011 he was named the Walter & Greta Stiel Chair in Heart Studies at The Hebrew University. He also served as the President of the Israel Society for Physiology and Pharmacology from 1996 to 1999.

From 1977-1979 Professor Lichtstein was a Postdoctoral Fellow at the Roche Institute of Molecular Biology in New Jersey. He was a visiting scientist at the National Institute of Child Health and Human Development (1985-1986) and the Eye Institute (1997-1998) at the National Institutes of Health in Maryland, and a visiting professor at the Toledo School of Medicine in Ohio (2007).

Professor. 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 were known to be present in plants and amphibians are actually normal constituents of the human body and have crucial roles, such 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.

SOURCE

http://www.afhu.org/professor-david-lichtstein-elected-dean-hebrew-universitys-faculty-medicine

Field of Study

Regulation of ion transport across the plasma membrane:
The primary focus of the research in my laboratory is the regulation of ion transport across the plasma membrane of eukaryotic cells. In particular, we study the main transport system for sodium and potassium, the sodium-potassium-ATPase, and its regulation by cardiac steroids.
Specific areas of interest:
Identification of endogenous cardiac steroids in mammalian tissue; The biological consequences of the interaction of cardiac steroids with the sodium-potassium-ATPase; Biosynthesis of the cardiac steroids in the adrenal gland; Effects of endogenous sodium-potassium-ATPase inhibitors on cell differentiation; Determination of the levels of endogenous sodium-potassium-ATPase inhibitors in pathological states, including hypertension, preeclampsia; malignancies (cancer) and manic depressive illnesses; Involvement of the sodium-potassium–ATPase/cardiac steroids system in depressive disorders; Involvement of the sodium-potassium-ATPase/cardiac steroids system in cardiac function; Involvement of intestinal signals in the regulation of phosphate homeostasis; Volume regulation and its involvement in the mitogenic response.
Cardiac Steroids and the Na+, K+-ATPase and Cardiac Steroids
Cardiac steroids, such as ouabain, digoxin and bufalin are hormones synthesized by and released from the adrenal gland and the hypothalamus. These compounds, the structure of which resembles that of plant and amphibian and butterfly steroids, interact only with the plasma membrane Na+, K+-ATPase (Figure 1). This interaction elicits numerous specific biological responses affecting the function of cells and organs.
Topics Currently under investigation include
Cardiac Steroids
  • Ouabain
  • Bufalin
  • Dogoxin
Involvement of the sodium-potassium–ATPase/cardiac steroids system in depressive disorders
Depressive disorders, including major depression, dysthymia and bipolar disorder, are a serious and devastating group of diseases that have a major impact on the patients’ quality of life, and pose a significant concern for public health. The etiology of depressive disorders remains unclear. The Monoaminergic Hypothesis, suggesting that alterations in monoamine metabolism in the brain are responsible for the etiology of depressive disorders, is now recognized as insufficient to explain by itself the complex etiology of these diseases. Data from our and other laboratories has provided initial evidence that endogenous cardiac steroids and their only established receptor, the Na+, K+-ATPase, are involved in the mechanism underlining depressive disorders, and BD in particular. Our study (Biol. Psychiatry. 60:491-499, 2006) has proven that Na+, K+-ATPase and DLC are involved in depressive disorders particularly in manic-depression. We have also shown that specific genetic alterations in the Na+, K+-ATPase α isoforms are associated with bipolar disorders (Biol. Psychiatry, 65:985-991, 2009). Our recent study in this project (Eur. Neuropsychopharmacol. 22:72-729, 2012) showed that drugs affecting the Na+, K+-ATPase/cardiac steroids system are beneficial for the treatment of depression. Hence our work is in accordance to the proposition that mal functioning of the Na+, K+-ATPase/cardiac steroids system may be involved in manifestation of depressive disorders and identify new compounds as potential drug for the treatment of these maladies.
Involvement of the sodium-potassium-ATPase/cardiac steroids system in cardiac function
The classical and best documented effect of cardiac steroids, as their name implies, is to increase the force of contraction of heart muscle. Indeed, cardiac steroids were widely used in Western and Eastern clinical practices for the treatment of heart failure and atrial fibrillation. Despite extensive research, the mechanism underlying cardiac steroids actions have not been fully elucidated. The dogmatic explanation for cardiac steroids-induced increase in heart contractility is that the inhibition of Na+, K+-ATPase by the steroids causes an increase in intracellular Na+ which, in turn, attenuates the Na+/Ca++ exchange, resulting in an increased intracellular Ca++ concentration, and hence greater contractility. However, recent observations led to the hypothesis that the ability of cardiac steroids to modulate a number of intracellular signaling processes may be responsible for both short- and long-term changes in CS action on cardiac function. We are addressing this hypothesis using the zebrafish model and our ability to quantify heart function in-vivo. Heart contractility measurements were performed using a series of software tools for the analysis of high-speed video microscopic images, allowing the determination of ventricular heart diameter and perimeter during both diastole and systole. The ejection fraction (EF) and fractional area changes (FAC) were calculated from these measurements, providing two independent parameters of heart contractility (see attached movie bellow). We are currently testing the effect of cardiac steroids in the presence and absence of intracellular signaling pathways (MAP, AKT, IP3R) inhibitors. Reduction in the steroids ability to increase the force of contraction will serve as the first evidence, in-vivo, for the participation of the signaling processes in the molecular mechanisms responsible for the action of cardiac steroids on heart muscle.
Laboratory Techniques
We employ a broad range of preparations and techniques. These include isolated organs (arterial rings, smooth and cardiac muscle strips) and isolated nerve endings, as well as primary and established tissue-cultured cells. Our studies involve the application of biochemical and immunological techniques (transport and enzymatic activity measurements, RIA, ELISA), molecular biological techniques (e.g., Western and Northern blotting, and PCR), protein purification (HPLC), cellular techniques muscle contractility, cell proliferation and differentiation’ in-vivo measurements of heart contractility and blood flow in Zebrafish and behavior measurements in rodents.

Biography

Education
1970
B.Sc. in Physiology and Zoology, The Hebrew University, Jerusalem, Israel
1970-1972 M.Sc. in Physiology, Department of Physiology, The Hebrew University, Hadassah Medical School, Jerusalem, Israel.
1973-1977
Ph.D., Department of Physiology, Hebrew University Hadassah Medical School, Jerusalem, Israel. (Thesis: “Increased Production of Gamma Aminobutyryl choline in Cerebral Cortex Caused by Afferent Electrical Stimulation” (Thesis Advisors: Prof. J. Dobkin and Prof. J. Magnes).
1977-1979
Postdoctoral Fellow, Department of Physiological Chemistry and Pharmacology, Roche Institute of Molecular Biology, Nutley, New Jersey, U.S.A.
Positions held

1970-1972
Teaching and Research Assistant, Department of Physiology, The Hebrew University, Hadassah Medical School, Jerusalem, Israel
1972-1974 Assistant Instructor, Department of Physiology, The Hebrew University, Hadassah Medical School, Jerusalem, Israel
1975-1977 Instructor, Department of Physiology, The Hebrew University, Hadassah Medical School, Jerusalem, Israel
1977-1979
Postdoctoral Fellow, Department of Physiological Chemistry and Pharmacology, Roche Institute of Molecular Biology, Nutley, New Jersey, U.S.A.
1979-1983
Lecturer, (REVSON fellowship) Department of Physiology, The Hebrew University, Hadassah Medical School, Jerusalem, Israel
1981 (summer)
Visiting Scientist, Department of Physiological Chemistry and Pharmacology, Roche Institute of Molecular Biology, Nutley, New Jersey, USA
1983-1987 Senior Lecturer, Department of Physiology, The Hebrew University Hadassah Medical School, Jerusalem, Israel.
1985-1986
Visiting Scientist, Laboratory of Theoretical and Physical Biology, NICHD, National Institutes of Health, Bethesda, Maryland, USA
1988-1994 Associate Professor, Department of Physiology, The Hebrew University Hadassah Medical School, Jerusalem, Israel
1994-present Professor of Physiology, Department of Physiology, The Hebrew University Hadassah Medical School, Jerusalem, Israel
1997-1998 Visiting Scientist, Laboratory of Mechanisms of Ocular Diseases, NEI, National Institutes of Health, Bethesda, Maryland, USA
2007 (summer)
Visiting Professor, Department of Physiology, Pharmacology, Metabolism and cardiovascular Sciences, Medical Center University of Toledo, Toledo, Ohio, USA
2007-2011 Jacob Gitlin Chair in Physiology, The Hebrew University, Jerusalem, Israel
2011-present ​Walter & Greta Stiel Chair in Heart Studies, The Hebrew University, Jerusalem
Professional Membership
1979-present International Society of Neurochemistry
1979-present Israel Society for Physiological and Pharmacological
1980-present Society of Neurosciences (Europe)
1986-present The American Society of Hypertension
1992-present Israeli Society for Neurosciences
1999-present The American Physiological Society
Editorial Tasks
Serving as a Reviewer for the scientific journals:
American Journal of Hypertension Journal of Neural Transmission
American Journal of Physiology Journal of Neurochemistry
Apoptosis Journal of Pharmacology and Experimental Therapeutics
Biochemical and Biophysical Research Communications Life Sciences
Basic Journal of Physiology and Pharmacology NANO
Brain Research Neurochemistry International
Bioconjugate Chemistry Neuroscience
Cell Calcium Neurotoxicity Research
Clinical Science Pathophysiology
Endocrinology Physiology and Behavior
European Neuropsychopharmacology PNAS
General and Comparative Endocrinology Psychiatry Research
Hypertension Translational Research
Journal of Cell Sciences
University and Other Activities
1982-1985 Chairman of the Neurobiology Teaching Division, The Hebrew University, Jerusalem
1988-1994 Elected representative of the Senior Lecturers and Associate Professors for the University Senate
1989-1997 Member of the admission committee of the Medical School, The Hebrew University, Jerusalem
1990-1996 Member of the Committee for cellular biology of the graduate studies, The Hebrew University, Jerusalem
1992-1996 Member of the Teaching Committee, Faculty of Medicine, The Hebrew University, Jerusalem
1992-1996
Chairman, Department of Physiology, The Hebrew University, Hadassah Medical School, Jerusalem
1994-1997 Member of the Committee for graduate studies, The Hebrew University, Jerusalem
1992-2002
Member of the Management Committee of The Institute for Medical Sciences, Faculty of Medicine, The Hebrew University, Jerusalem
1996-1999
President of the Israel Society for Physiology and Pharmacology
1998- 2002 Chairman, Institute of Medical Sciences, The Hebrew University, Hadassah Medical School, Jerusalem
1999-2002 Member of the Planning and Development Committee of the Faculty of Medicine, The Hebrew University, Jerusalem
2007–Present Elected representative of the Professors for the executive University Senate
2008-2012 Member of the Planning and Development Committee of the Faculty of Medicine, The Hebrew University, Jerusalem
2008-2012 Chairman, Institute for Medical Research Israel-Canada, The Hebrew University, Hadassah Medical School, Jerusalem
2009 – Present Elected member of the Senate to the Executive Committee of the Hebrew University

PUBLICATIONS 2006 – 2012

Search By:  Author Abeles, M Abramovitch, R Allweis, C Altuvia, S Amedi, A Amster-Choder, O Anglister, L Aqeilan, RI Aronovitch, Y Bachrach, U Baniyash, M Barak, V Barenholz, Y Bar-Shalita, T Bar-Shavit, R Bar-Shavit, Z Bar-Tana, J Becker, Y Behar, O Ben-Ishay, Z Benita, S Ben-Neriah, Y Benny, O Ben-Or, S Ben-porath, I Ben-Sasson, S Ben-Sasson, SZ Ben-Shaul, Y Ben-Yehuda, S Bercovier, H Berger, M Bergman, H Bergman, Y Berry, E Bialer, M Binshtok, AM Blum, G Brandes, R Brautbar, C Breuer, E Cedar, H Chevion, M Chinitz, D Citri, N Cohen, A Cohen, E Deutsch, J Dikstein, S Domb, A Dor, Y Dror, OE Dzikowski, R Elkin, M Engelberg-Kulka, H Even-Ram, S Eyal, S Fainsod, A Feintuch, U Friedlander, y Friedman, M Gallily, R Gatt, S Gerlitz, O Gertz, SD Gibson, D Glaser, G Goelman, G Goldberg, I Goldberg, JA Goldblum, A Golenser, J Golomb, G Golos, A Gordon, A Gorinstein, S Gorodetsky, R Granot, Z Greenblatt, CL Greenwald, T Gross, E Grover, N Gutman, Y Hahn-Markowitz, J Hamburger, J Hanani, M Hanski, E Hartman-Maeir, A Hellman, A Hochner, H Hoffman, A Honigman, A Horowitz, M Ilani, A Inbal, A Jaffe, CL Jarrous, N Kaempfer, R Kalcheim, C Kanner, BI Kapitulnik, J Karni, R Katz, E Katzav, S Katz-Brull, R Katzhendler, J Kedar, E Keren, N Keshet, E Klar, A Kohen, R Konijn, A Kotler, M Langer, D Laskov, R Lazarovici, P Levi-Schaffer, F Lev-Tov, A Lichtstein, D Liebergall, M Lorberboum-Galski, H Magen, H Mandelboim, O Manor, O Margalit, H Matok, I Mechoulam, R Meiri, H Melloul, D Meyuhas, O Minke, B Mishani, E Mitrani-Rosenbaum, S Mumcuoglu, K Naor, D Naveh-Many, T Neumark, Y Nussinovitch, I Oppenheim, A Ornoy, A Panet, A Paroush, Z Parush, S Peled, A Pikarsky, E Pines, O Priel, A Prut, Y Rachmilewitz, J Rahamimoff, H Ravid, S Razin, A Razin, E Razin, S Reich, R Reshef, L Richter, E Ringel, I Rokem, JS Rom, M Ron, A Rosen, H Rosenshine, I Rotenberg-Shpigelman, S Rotshenker, S Rottem, S Rubinstein, A Samueloff, S Samuni, A Sasson, S Schlein, Y Schlesinger, M Schueler-Furman, O Sharon, D Sharon, R Shaulian, E Shlomai, J Shmueli, A Shohami, E Shtarkshall, R Shurki, A Simon, I Smith, P Sohmer, H Sperling, D Steinitz, M Stern-Bach, Y Tal, M Taraboulos, A Ta-Shma, R Tirosh, B Touitou, E Trachtenberg, S Traub, R Treinin, M Tsvelikhovsky, D Vaadia, E Warburg, A Weinstock, M  Weintraub, N Weiss, D Weiss, R Wiener, R Wormser, U Yaari, Y Yagen, B Yaka, R yanai, J Yavin, E Yedgar, S Yefenof, E Yisraeli, JK Yochman, A Yogev, D Yosselson-Superstine, S Zajicek, G Zakay-Rones, Z  Sort By:  Year Descending Year Ascending  Text:
Dvela, M., Rosen, H., Ben-Ami, H. C., Lichtstein, D.
American journal of physiology. Cell physiology, 302(2), C442-52, 2012
Goldstein, I., Lax, E., Gispan-Herman, I., Ovadia, H., Rosen, H., Yadid, G., Lichtstein, D.
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology, 22(1), 72-9, 2012
Nesher, M., Shpolansky, U., Viola, N., Dvela, M., Buzaglo, N., Cohen Ben-Ami, H., Rosen, H., Lichtstein, D.
British journal of pharmacology, 160(2), 346-54, 2010
Guttmann-Rubinstein, L., Lichtstein, D., Ilani, A., Gal-Moscovici, A., Scherzer, P., Rubinger, D.
Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme, 42(4), 230-6, 2010
Jaiswal, M. K., Dvela, M., Lichtstein, D., Mallick, B. N.
Journal of sleep research, 19(1 Pt 2), 183-91, 2010
Nesher, M., Dvela, M., Igbokwe, V. U., Rosen, H., Lichtstein, D.
American journal of physiology. Heart and circulatory physiology, 297(6), H2026-34, 2009
Goldstein, I., Lerer, E., Laiba, E., Mallet, J., Mujaheed, M., Laurent, C., Rosen, H., Ebstein, R. P., Lichtstein, D.
Biological psychiatry, 65(11), 985-91, 2009
Nesher, M., Vachutinsky, Y., Fridkin, G., Schwarz, Y., Sasson, K., Fridkin, M., Shechter, Y., Lichtstein, D.
Bioconjugate chemistry, 19(1), 342-8, 2008
Dvela, M., Rosen, H., Feldmann, T., Nesher, M., Lichtstein, D.
Pathophysiology : the official journal of the International Society for Pathophysiology / ISP, 14(3-4), 159-66, 2007
Feldmann, T., Glukmann, V., Medvenev, E., Shpolansky, U., Galili, D., Lichtstein, D., Rosen, H.
American journal of physiology. Cell physiology, 293(3), C885-96, 2007
Chirinos, J. A., Corrales-Medina, V. F., Garcia, S., Lichtstein, D. M., Bisno, A. L., Chakko, S.
Clinical rheumatology, 26(4), 590-5, 2007
Lichtstein, D. M., Arteaga, R. B.
The American journal of the medical sciences, 332(2), 103-5, 2006
Morla, D., Alazemi, S., Lichtstein, D.
Journal of general internal medicine, 21(7), C11-3, 2006
Chirinos, J. A., Corrales, V. F., Lichtstein, D. M.
Clinical rheumatology, 25(1), 111-2, 2006
Deutsch, J., Jang, H. G., Mansur, N., Ilovich, O., Shpolansky, U., Galili, D., Feldman, T., Rosen, H., Lichtstein, D.
Journal of medicinal chemistry, 49(2), 600-6, 2006
Goldstein, I., Levy, T., Galili, D., Ovadia, H., Yirmiya, R., Rosen, H., Lichtstein, D.
Biological psychiatry, 60(5), 491-9, 2006
Chirinos, J. A., Garcia, J., Alcaide, M. L., Toledo, G., Baracco, G. J., Lichtstein, D. M.
American journal of cardiovascular drugs : drugs, devices, and other interventions, 6(1), 9-14, 2006
Rosen, H., Glukmann, V., Feldmann, T., Fridman, E., Lichtstein, D.
Cellular and molecular biology (Noisy-le-Grand, France), 52(8), 78-86, 2006

SOURCE

https://medicine.ekmd.huji.ac.il/En/Publications/publications/Pages/default.aspx?aut=Lichtstein,%20D

 

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Not Lower Levels of Serotonin, but Damaged Brain Synapses as the Origin for Mental Depression

Reporter: Aviva Lev-Ari, PhD, RN

Israeli discovery matches right antidepressant for each patient

Genetic study suggest that depression may be caused not by lack of serotonin, but because of damage to the brain synapses.

It all comes down to a simple blood test (illustrative).

It all comes down to a simple blood test (illustrative). Photo by Dreamstime

By Ido Efrati
Published 01:00 09.12.13
A new discovery by Tel Aviv University researchers may make it possible to prescribe the most effective antidepressant based on a simple blood test, avoiding the long and often difficult process of medication adjustments that is currently done by trial and error.The scientists were able to identify genes in blood cells that are linked to the creation of receptors in brain cells and that respond differently to antidepressants in different people. The study by Dr. David Gurwitz and Dr. Noam Shomron, which was recently published in the journal Translational Psychiatry, could change perceptions about the origins of depression and the mechanisms that trigger it.

“People suffering from depression are in great distress and find it very difficult to go through the process of treatment adjustments, which can take weeks or months,” said Shomron, who heads the Genome High-Throughput Sequencing Laboratory at TAU’s Sackler Faculty of Medicine. “We chose to focus on paroxetine, a very common drug for depression, which is sold in Israel under the trade names Seroxat, Paxxet, Paxil, Parotin and Paroxetine-Teva. We were looking for a faster, easier and more effective way to find out how [paroxetine] would affect a particular patient.”

Paroxetine belongs to the SSRI family of drugs that inhibit the re-absorption of serotonin in the brain, the best-known and most popular of which are Prozac and Cipralex. “These drugs do not help all those suffering from depression, and in many cases one must keep trying drugs from other families by trial and error. Meanwhile, the patients and their families suffer,” explained Gurwitz, who heads the National Laboratory for the Genetics of Israeli Populations at Sackler.

One of the interesting things about the research is that it did not involve people suffering from depression. Rather than examine the effect of the drug on patients, the researchers added paroxetine to 80 samples of cultured white blood cells taken from healthy volunteers.

The results showed that in some cases the drugs inhibited cell division in the cultures significantly, while in others the delay was relatively minor. The researchers then focused on those cases with the most extreme responses: the 10 cultures that were most affected by the addition of paroxetine, and those least affected. The aim was to see whether there were significant differences between the two extremes on the genetic and molecular levels. By using a genetic chip, the researchers were able to perform a comprehensive molecular profile of all the selected samples.

“The result surprised us so much that we started to check if we’d made some mistake,” said Shomron. “We discovered that the single biggest difference between the two groups was the level of expression of a gene known as CHL1. Until then, no one had ever linked that particular gene to depression.”

Dr. Gurwitz noted, however, that the protein encoded by the gene CHL1 is recognized in scientific literature as essential for creating synapses (connections between neurons) in the brain. “Our findings suggest that depression may be caused not by lack of serotonin, as is written today in medical books, but because of damage to the synapses, probably resulting from a lack of proteins that repair synapses damaged by stress,” he says.

Giving the researchers a boost is a large clinical study recently published in the United States involving some 1,400 patients treated with the antidepressant Citalopram. Those findings also suggest a link between the gene CHL1 and the response to depression treatment.

Since the 1990s, Gurwitz said, hundreds of genetic studies have dealt with antidepressants. “But almost all of them began with the assumption that the main cause of depression is a lack of serotonin in the brain.” The approach of the two Israelis was totally different, he said. “We chose to look at all the genes of the human genome, about 25,000 genes and see which are affected by antidepressants. We believed the genetic diversity between people would surely be reflected in their response to drugs, which can be measured in vitro.”

The two said that this new insight could lead to a new type of antidepressant, which, instead of boosting serotonin levels in the brain – which are associated with depression, but probably not the cause – could improve the process of repairing damaged synapses.

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Larry H. Bernstein, MD, FCAP, reviewer and curator

http://pharmaceuticalintelligence.com/2013-12-09/larryhbern/VEGF-activation-and-signaling,-lysine-methylation,-and-activation-of-receptor-tyrosine-kinase

Lysine Methylation Promotes VEGFR-2 Activation and Angiogenesis

 Edward J. Hartsough1*, Rosana D. Meyer1*, Vipul Chitalia2, Yan Jiang3, Victor E. Marquez4, Irina V. Zhdanova5, Janice Weinberg6, Catherine E. Costello3, and Nader Rahimi1{dagger}
 1 Departments of Pathology and Ophthalmology, School of Medicine, Boston University Medical Campus, Boston, MA 02118, USA.
2 Harvard-MIT Division of Health Science and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
3 Department of Biochemistry and Center for Biomedical Mass Spectrometry, School of Medicine, Boston University Medical Campus, Boston, MA 02118, USA.
4 Chemical Biology Laboratory, National Cancer Institute at Frederick, Frederick, MD 21702, USA.
5 Department of Anatomy and Neurobiology, Boston University Medical Campus, Boston, MA 02118, USA.
6 School of Public Health, Boston University Medical Campus, Boston, MA 02118, USA.
Activation of vascular endothelial growth factor receptor-2 (VEGFR-2), an endothelial cell receptor tyrosine kinase,
  • promotes tumor angiogenesis and ocular neovascularization.
We report the methylation of VEGFR-2 at multiple Lys and Arg residues, including Lys1041,
  • a residue that is proximal to the activation loop of the kinase domain.
Methylation of VEGFR-2 was
  • independent of ligand binding and
  • was not regulated by ligand stimulation.
Methylation of Lys1041 enhanced tyrosine phosphorylation and kinase activity in response to ligands. Additionally, interfering with the methylation of VEGFR-2 by pharmacological inhibition or by site-directed mutagenesis revealed that
  • methylation of Lys1041 was required for VEGFR-2–mediated angiogenesis
    • in zebrafish and
    • tumor growth in mice.
We propose that methylation of Lys1041 promotes the activation of VEGFR-2 and that
  • similar posttranslational modification could also regulate the activity of other receptor tyrosine kinases.
{dagger} Corresponding author. E-mail: nrahimi@bu.edu
Citation: E. J. Hartsough, R. D. Meyer, V. Chitalia, Y. Jiang, V. E. Marquez, I. V. Zhdanova, J. Weinberg, C. E. Costello, N. Rahimi, Lysine Methylation Promotes VEGFR-2 Activation and Angiogenesis. Sci. Signal. 6, ra104 (2013).

Phosphoproteomic Analysis Implicates the mTORC2-FoxO1 Axis in VEGF Signaling and Feedback Activation of Receptor Tyrosine Kinases

Guanglei Zhuang, Kebing Yu, Zhaoshi Jiang, Alicia Chung, Jenny Yao, Connie Ha, Karen Toy, Robert Soriano, Benjamin Haley, Elizabeth Blackwood, Deepak Sampath, Carlos Bais, Jennie R. Lill, and Napoleone Ferrara (16 April 2013){dagger}
Sci. Signal. 16 April 2013;  6 (271), ra25.    http://dx.doi.org/10.1126/scisignal.2003572
Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
* These authors contributed equally to this work.{dagger}
{dagger} Present address: Department of Pathology and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.
The vascular endothelial growth factor (VEGF) signaling pathway plays a pivotal role in normal development and
  • also represents a major therapeutic target for tumors and intraocular neovascular disorders.
The VEGF receptor tyrosine kinases promote angiogenesis by phosphorylating downstream proteins in endothelial cells. We applied a large-scale proteomic approach to define
  1. the VEGF-regulated phosphoproteome and
  2. its temporal dynamics in human umbilical vein endothelial cells and then
  3. used siRNA (small interfering RNA) screens to investigate the function of a subset of these phosphorylated proteins in VEGF responses.
The PI3K (phosphatidylinositol 3-kinase)–mTORC2 (mammalian target of rapamycin complex 2) axis emerged as central
  1. in activating VEGF-regulated phosphorylation and
  2. increasing endothelial cell viability
    • by suppressing the activity of the transcription factor FoxO1 (forkhead box protein O1),
    • an effect that limited cellular apoptosis and feedback activation of receptor tyrosine kinases.
This FoxO1-mediated feedback loop not only reduced the effectiveness of mTOR inhibitors at decreasing protein phosphorylation and cell survival
  • but also rendered cells more susceptible to PI3K inhibition.
Collectively, our study provides a global and dynamic view of VEGF-regulated phosphorylation events and
  • implicates the mTORC2-FoxO1 axis in VEGF receptor signaling and
  • reprogramming of receptor tyrosine kinases in human endothelial cells.
{ddagger} Corresponding author. E-mail: nferrara@ucsd.edu
Citation: G. Zhuang, K. Yu, Z. Jiang, A. Chung, J. Yao, C. Ha, K. Toy, R. Soriano, B. Haley, E. Blackwood, D. Sampath, C. Bais, J. R. Lill, N. Ferrara, Phosphoproteomic Analysis Implicates the mTORC2-FoxO1 Axis in VEGF Signaling and Feedback Activation of Receptor Tyrosine Kinases. Sci. Signal. 6, ra25 (2013).

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Silencing Cancers with Synthetic siRNAs

Larry H. Bernstein, MD, FCAP, Reviewer and Curator

Article ID #91: Silencing Cancers with Synthetic siRNAs. Published on 12/9/2013

WordCloud Image Produced by Adam Tubman

http://pharmaceuticalinnovation.com/2012-12-09/larryhbern/Silencing Cancers with Synthetic siRNAs

The challenge of cancer drug development has been marker by less than a century of development of major insights into the know of biochemical pathways and the changes in those pathways in a dramatic shift in enrgy utilization and organ development, and the changes in those pathways with the development of malignant neoplasia.  The first notable change is the Warburg Effect (attributed to the 1860 obsevation by Pasteur that yeast cells use glycolysis under anaerobic conditions).  Warburg also referred to earlier work by Meyerhoff, in a ratio of CO2 release to O2 consumption, a Meyerhoff ratio.  Much more was elucidated after the discovery of the pyridine nucleotides, which gave understanding of glycolysis and lactate production with a key two enzyme separation at the forward LDH reaction and the back reentry to the TCA cycle.  But the TCA cycle could be used for oxidative energy utilization in the mitochondria by oxidative phosphorylation elucidated by Peter Mitchell, or it can alternatively be used for syntheses, like proteins and lipid membrane structures.

A brilliant student in Leloir’s laboratory in Brazil undertook a study of isoenzyme structure in 1971, at a time that I was working under Nathan O. Kaplan on the mechanism of inhibition of mitochondrial malate dehydrogenase. In his descripton, taking into account the effect of substrates upon protein stability (FEBS) could be, in a prebiotic system, the form required in order to select protein and RNA in parallel or in tandem in a way that generates the genetic code (3 bases for one amino acid). Later, other proteins like reverse transcriptase, could transcribe it into the more stable DNA. Leloir had just finished ( a few years before 1971 but, not published by these days yet) a somehow similar reasoning about metabolic regions rich in A or in C or .. G or T.  He later spent time in London to study the early events in the transition of growing cells linked to ion fluxes, which he was attracted to by the idea that life is so strongly associated with the K (potassium) and Na (sodium) asymmetry.   Moreover, he notes that while DNA is the same no matter the cell is dead or alive,  and therefore,  it is a huge mistake to call DNA the molecule of life. In all life forms, you will find K reach inside and Na rich outside its membrane. On his return to Brazil, he accepted a request to collaborate with the Surgery department in energetic metabolism of tissues submitted to ischemia and reperfusion. This led me back to Pasteur and Warburg effects and like in Leloir´s time, he worked with a dimorphic yeast/mold that was considered a morphogenetic presentation of the Pasteur Effect.  His findings were as follows. In absence of glucose, a condition that prevents the yeast like cell morphology, which led to the study of an enzyme “half reaction”. The reaction that on the half, “seen in our experimental conditions did not followed classical thermodynamics” (According to Collowick & Kaplan (of your personal knowledge) vol. I See Utter and Kurahashi in it). This somehow contributed to a way of seeing biochemistry with modesty. The second and more strongly related to the Pasteur Effect was the use an entirely designed and produced in our Medical School Coulometer spirometer that measures oxygen consumption in a condition of constant oxygen supply. At variance with Warburg apparatus and Clark´s electrode, this oxymeters uses decrease in partial oxygen pressure and decrease electrical signal of oxygen polarography to measure it (Leite, J.V.P. Research in Physiol. Kao, Koissumi, Vassali eds Aulo Gaggi Bologna, 673-80-1971). “With this, I was able to measure the same mycelium in low and high “cell density” inside the same culture media. The result shows, high density one stops mitochondrial function while low density continues to consume oxygen (the internal increase or decrease in glycogen levels shows which one does or does not do it). Translation for today: The same genome in the same chemical environment behave differently mostly likely by its interaction differences. This previous experience fits well with what  I have to read by that time of my work with surgeons.  Submitted to total ischemia tissues mitochondrial function is stopped when they already have enough oxyhemoglobin (1) Epstein, Balaban and Ross Am J Physiol.243, F356-63 (1982) 2) Bashford , C. L, Biological membranes a practical approach Oxford Was. P 219-239 (1987).”

Of course, the world of medical and pharmaceutical engagement with this problem, though changed in focus, has benefitted hugely from “The Human Genome Project”, and the events since the millenium, because of technology advances in instrumental analysis, and in bioinformatics and computational biology.  This has lead to recent advances in regenerative biology with stem cell “models”, to advances in resorbable matrices, and so on.  We proceed to an interesting work that applies synthetic work with nucleic acid signaling to pharmacotherapy of cancer.

Synthetic RNAs Designed to Fight Cancer

Fri, 12/06/2013 Biosci Technology
Xiaowei Wang and his colleagues have designed synthetic molecules that combine the advantages of two experimental RNA therapies against cancer. (Source: WUSTL/Robert J. Boston)In search of better cancer treatments, researchers at Washington University School of Medicine in St. Louis have designed synthetic molecules that combine the advantages of two experimental RNA therapies.  The study appears in the December issue of the journal RNA.
 RNAs play an important role in how genes are turned on and off in the body. Both siRNAs and microRNAs are snippets of RNA known to modulate a gene’s signal or shut it down entirely. Separately, siRNA and microRNA treatment strategies are in early clinical trials against cancer, but few groups have attempted to marry the two.   “These are preliminary findings, but we have shown that the concept is worth pursuing,” said Xiaowei Wang, assistant professor of radiation oncology at the School of Medicine and a member of the Siteman Cancer Center. “We are trying to merge two largely separate fields of RNA research and harness the advantages of both.”
 “We designed an artificial RNA that is a combination of siRNA and microRNA, The showed that the artificial RNA combines the functions of the two separate molecules, simultaneously inhibiting both cell migration and proliferation. They designed and assembled small interfering” RNAs, or siRNAs,  made to shut down– or interfere with– a single specific gene that drives cancer.  The siRNA molecules work extremely well at silencing a gene target because the siRNA sequence is made to perfectly complement the target sequence, thereby
  • silencing a gene’s expression.
Though siRNAs are great at turning off the gene target, they also have potentially dangerous side effects:
  • siRNAs inadvertently can shut down other genes that need to be expressed to carry out tasks that keep the body healthy.
 According to Wang and his colleagues, siRNAs interfere with off-target genes that closely complement their “seed region,” a short but important
  • section of the siRNA sequence that governs binding to a gene target.
 “We can never predict all of the toxic side effects that we might see with a particular siRNA,” said Wang. “In the past, we tried to block the seed region in an attempt to reduce the side effects. Until now,
  • we never tried to replace the seed region completely.”
 Wang and his colleagues asked whether
  • they could replace the siRNA’s seed region with the seed region from microRNA.
Unlike siRNA, microRNA is a natural part of the body’s gene expression. And it can also shut down genes. As such, the microRNA seed region (with its natural targets) might reduce
  • the toxic side effects caused by the artificial siRNA seed region. Plus,
  • the microRNA seed region would add a new tool to shut down other genes that also may be driving cancer.
 Wang’s group started with a bioinformatics approach, using a computer algorithm to design
  • siRNA sequences against a common driver of cancer,
  • a gene called AKT1 that encourages uncontrolled cell division.
They used the program to select siRNAs against AKT1 that also had a seed region highly similar to the seed region of a microRNA known to inhibit a cell’s ability to move, thus
  • potentially reducing the cancer’s ability to spread.
In theory, replacing the siRNA seed region with the microRNA seed region also would combine their functions
  • reducing cell division and
  • movement with a single RNA molecule.
 Of more than 1,000 siRNAs that can target AKT1,
  • they found only three that each had a seed region remarkably similar to the seed region of the microRNA that reduces cell movement.
 They then took the microRNA seed region and
  • used it to replace the seed region in the three siRNAs that target AKT1.
The close similarity between the two seed regions is required because
  • changing the original siRNA sequence too much would make it less effective at shutting down AKT1.
 They dubbed the resulting combination RNA molecule “artificial interfering” RNA, or aiRNA. Once they arrived at these three sequences using computer models,
  1. they assembled the aiRNAs and
  2. tested them in cancer cells.
 One of the three artificial RNAs that they built in the lab
  • combined the advantages of the original siRNA and the microRNA seed region that was transplanted into it.
This aiRNA greatly reduced both
  1. cell division (like the siRNA) and
  2. movement (like the microRNA).
And to further show proof-of-concept, they also did the reverse, designing an aiRNA that
  1. both resists chemotherapy and
  2. promotes movement of the cancer cells.
 “Obviously, we would not increase cell survival and movement for cancer therapy, but we wanted to show how flexible this technology can be, potentially expanding it to treat diseases other than cancer,” Wang said.
Source: WUSTL

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