Literature DB >> 18382216

Emerging role of pharmacogenomics in heart failure.

Dennis M McNamara1.   

Abstract

PURPOSE OF REVIEW: The promise of pharmacogenomics is that it will one day result in targeted heart failure therapy that maximizes individual benefit and diminishes risk. Recent reports from the Beta Blocker Evaluation Survival and African American Heart Failure clinical trials provide a roadmap of how this promise may soon be realized. This review will discuss recent investigations of pharmacogenomics in heart failure, and the challenge of converting genomic heterogeneity into a usable clinical tool. RECENT
FINDINGS: Genomic analysis from randomized clinical trials has been increasingly utilized to investigate genetic variables that affect drug response. Analysis from the Beta Blocker Evaluation Survival Trial, demonstrates the impact of beta-blockers on survival was primarily in patients with the beta-1 adrenergic receptor Arg389Arg genotype. The efficacy of angiotensin-converting enzyme inhibitors and the combination of isosorbide dinitrate and hydralazine differs in black and white heart failure cohorts. Initial reports from the African American Heart Failure Trial demonstrate the impact of aldosterone synthase polymorphism on left ventricle remodeling, outcomes and the impact of isosorbide dinitrate and hydralazine. Investigations from the African American Heart Failure Trial will continue to focus on determining the genomic bases for observed racial differences in therapeutic efficacy. An era of polygenic analysis, aided by Genome Wide Association Studies, should soon be upon us.
SUMMARY: Modern clinical trials will increasingly have a pharmacogenetic component to allow more efficient targeting of therapeutics. Investigators are beginning to delineate the genomic basis for differences in drug efficacy between black and white heart failure cohorts. Pharmacogenomics will have an increasing role in the treatment of heart failure patients.

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Year:  2008        PMID: 18382216     DOI: 10.1097/HCO.0b013e3282fcd662

Source DB:  PubMed          Journal:  Curr Opin Cardiol        ISSN: 0268-4705            Impact factor:   2.161


  8 in total

Review 1.  Molecular imaging targets of cardiac remodeling.

Authors:  Jamshid Shirani; Vasken Dilsizian
Journal:  Curr Cardiol Rep       Date:  2009-03       Impact factor: 2.931

Review 2.  Functional genomics applied to cardiovascular medicine.

Authors:  Thomas P Cappola; Kenneth B Margulies
Journal:  Circulation       Date:  2011-07-05       Impact factor: 29.690

Review 3.  Pharmacogenetics of heart failure.

Authors:  Luisa Mestroni; Rene L Begay; Sharon L Graw; Matthew R G Taylor
Journal:  Curr Opin Cardiol       Date:  2014-05       Impact factor: 2.161

Review 4.  Clinical Application of Genetic Testing in Heart Failure.

Authors:  Ana Morales; Ray Hershberger
Journal:  Curr Heart Fail Rep       Date:  2017-12

Review 5.  Genomics, transcriptional profiling, and heart failure.

Authors:  Kenneth B Margulies; Daniel P Bednarik; Daniel L Dries
Journal:  J Am Coll Cardiol       Date:  2009-05-12       Impact factor: 24.094

6.  Influence of Angiotensin-Converting-Enzyme Gene Polymorphism on Echocardiographic Data of Patients with Ischemic Heart Failure.

Authors:  Gustavo Salgado Duque; Dayse Aparecida da Silva; Felipe Neves de Albuquerque; Roberta Siuffo Schneider; Alinne Gimenez; Roberto Pozzan; Ricardo Mourilhe Rocha; Denilson Campos de Albuquerque
Journal:  Arq Bras Cardiol       Date:  2016-10-27       Impact factor: 2.000

7.  Oxytocin Protects Against Isoproterenol-Induced Cardiac Hypertrophy by Inhibiting PI3K/AKT Pathway via a lncRNA GAS5/miR-375-3p/KLF4-Dependent Mechanism.

Authors:  Yuqiao Yang; Zhuoran Wang; Mengran Yao; Wei Xiong; Jun Wang; Yu Fang; Wei Yang; Haixia Jiang; Ning Song; Lan Liu; Jinqiao Qian
Journal:  Front Pharmacol       Date:  2021-12-03       Impact factor: 5.810

8.  Current genomics in cardiovascular medicine.

Authors:  Vinit Sawhney; Scott Brouilette; Dominic Abrams; Richard Schilling; Benjamin O'Brien
Journal:  Curr Genomics       Date:  2012-09       Impact factor: 2.236

  8 in total

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