Literature DB >> 19491328

Mechanisms of pharmacogenomic effects of genetic variation within the cardiac adrenergic network in heart failure.

Gerald W Dorn1, Stephen B Liggett.   

Abstract

One of the goals of pharmacogenomics is the use of genetic variants to predict an individual's response to treatment. Although numerous candidate and genome-wide associations have been made for cardiovascular response-outcomes, little is known about how a given polymorphism imposes the phenotype. Such mechanisms are important, because they tie the observed human response to specific signaling alterations and thus provide cause-and-effect relationships, aid in the design of hypothesis-based clinical studies, can help to devise workaround drugs, and can reveal new aspects of the pathophysiology of the disease. Here we discuss polymorphisms within the adrenergic receptor network in the context of heart failure and beta-adrenergic receptor blocker therapy, where multiple approaches to understand the mechanism have been undertaken. We propose a comprehensive series of studies, ranging from transfected cells, transgenic mice, and ex vivo and in vitro human studies as a model approach to explore mechanisms of action of pharmacogenomic effects and extend the field beyond observational associations.

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Year:  2009        PMID: 19491328      PMCID: PMC2730380          DOI: 10.1124/mol.109.056572

Source DB:  PubMed          Journal:  Mol Pharmacol        ISSN: 0026-895X            Impact factor:   4.436


  61 in total

1.  Confirmation of a role for the 389R>G beta-1 adrenoceptor polymorphism on exercise capacity in heart failure.

Authors:  A J Sandilands; J Parameshwar; S Large; M J Brown; K M O'Shaughnessy
Journal:  Heart       Date:  2005-12       Impact factor: 5.994

2.  Pleiotropic beta-agonist-promoted receptor conformations and signals independent of intrinsic activity.

Authors:  Steven M Swift; Mary Rose Schwarb; Kathryn A Mihlbachler; Stephen B Liggett
Journal:  Am J Respir Cell Mol Biol       Date:  2006-09-15       Impact factor: 6.914

3.  Relation of beta(2)-adrenoceptor haplotype to risk of death and heart transplantation in patients with heart failure.

Authors:  Jaekyu Shin; Maximilian T Lobmeyer; Yan Gong; Issam Zineh; Taimour Y Langaee; Hossein Yarandi; Richard S Schofield; Juan M Aranda; James A Hill; Daniel F Pauly; Julie A Johnson
Journal:  Am J Cardiol       Date:  2006-11-21       Impact factor: 2.778

4.  The Arg389Gly beta1-adrenoceptor polymorphism and catecholamine effects on plasma-renin activity.

Authors:  Heike Bruck; Kirsten Leineweber; Thomas Temme; Melanie Weber; Gerd Heusch; Thomas Philipp; Otto-Erich Brodde
Journal:  J Am Coll Cardiol       Date:  2005-11-04       Impact factor: 24.094

5.  Real-time optical recording of beta1-adrenergic receptor activation reveals supersensitivity of the Arg389 variant to carvedilol.

Authors:  Francesca Rochais; Jean-Pierre Vilardaga; Viacheslav O Nikolaev; Moritz Bünemann; Martin J Lohse; Stefan Engelhardt
Journal:  J Clin Invest       Date:  2007-01       Impact factor: 14.808

6.  The Arg389Gly beta1-adrenoceptor polymorphism does not affect cardiac effects of exercise after parasympathetic inhibition by atropine.

Authors:  Kirsten Leineweber; Heike Bruck; Thomas Temme; Gerd Heusch; Thomas Philipp; Otto-Erich Brodde
Journal:  Pharmacogenet Genomics       Date:  2006-01       Impact factor: 2.089

7.  beta-Adrenergic receptor polymorphisms and responses during titration of metoprolol controlled release/extended release in heart failure.

Authors:  Steven G Terra; Daniel F Pauly; Craig R Lee; J Herbert Patterson; Kirkwood F Adams; Richard S Schofield; Bernadette S Belgado; Karen K Hamilton; Juan M Aranda; James A Hill; Hossein N Yarandi; Joseph R Walker; Michael S Phillips; Craig A Gelfand; Julie A Johnson
Journal:  Clin Pharmacol Ther       Date:  2005-03       Impact factor: 6.875

8.  Cardiac-specific ablation of G-protein receptor kinase 2 redefines its roles in heart development and beta-adrenergic signaling.

Authors:  Scot J Matkovich; Abhinav Diwan; Justin L Klanke; Daniel J Hammer; Yehia Marreez; Amy M Odley; Eric W Brunskill; Walter J Koch; Robert J Schwartz; Gerald W Dorn
Journal:  Circ Res       Date:  2006-09-28       Impact factor: 17.367

9.  Effect of metoprolol CR/XL in chronic heart failure: Metoprolol CR/XL Randomised Intervention Trial in Congestive Heart Failure (MERIT-HF)

Authors: 
Journal:  Lancet       Date:  1999-06-12       Impact factor: 79.321

10.  The impact of beta-adrenoreceptor gene polymorphisms on survival in patients with congestive heart failure.

Authors:  Pascal de Groote; Nicolas Lamblin; Nicole Helbecque; Frédéric Mouquet; Eugène Mc Fadden; Xavier Hermant; Philippe Amouyel; Jean Dallongeville; Christophe Bauters
Journal:  Eur J Heart Fail       Date:  2005-10       Impact factor: 15.534

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  19 in total

1.  Akt2 deficiency promotes cardiac induction of Rab4a and myocardial β-adrenergic hypersensitivity.

Authors:  Sharon Etzion; Yoram Etzion; Brian DeBosch; Peter A Crawford; Anthony J Muslin
Journal:  J Mol Cell Cardiol       Date:  2010-08-20       Impact factor: 5.000

Review 2.  Progress toward genetic tailoring of heart failure therapy.

Authors:  John H Lillvis; David E Lanfear
Journal:  Curr Opin Mol Ther       Date:  2010-06

3.  Polymorphisms present in G-protein-coupled receptor kinases and their effect on β-blocker treatment.

Authors:  Philip W Raake; Walter J Koch; Patrick Most
Journal:  Pharmacogenomics       Date:  2011-03       Impact factor: 2.533

4.  Modeling the effects of β1-adrenergic receptor blockers and polymorphisms on cardiac myocyte Ca2+ handling.

Authors:  Robert K Amanfu; Jeffrey J Saucerman
Journal:  Mol Pharmacol       Date:  2014-05-27       Impact factor: 4.436

Review 5.  Caveolins as Regulators of Stress Adaptation.

Authors:  Jan M Schilling; Brian P Head; Hemal H Patel
Journal:  Mol Pharmacol       Date:  2018-01-22       Impact factor: 4.436

6.  Nuclear effects of G-protein receptor kinase 5 on histone deacetylase 5-regulated gene transcription in heart failure.

Authors:  Yan Zhang; Scot J Matkovich; Xiujun Duan; Jessica I Gold; Walter J Koch; Gerald W Dorn
Journal:  Circ Heart Fail       Date:  2011-07-18       Impact factor: 8.790

Review 7.  Genetic variation, β-blockers, and perioperative myocardial infarction.

Authors:  Peter Nagele; Stephen B Liggett
Journal:  Anesthesiology       Date:  2011-12       Impact factor: 7.892

8.  S49G and R389G polymorphisms of the β₁-adrenergic receptor influence signaling via the cAMP-PKA and ERK pathways.

Authors:  Fan Zhang; Susan F Steinberg
Journal:  Physiol Genomics       Date:  2013-10-22       Impact factor: 3.107

9.  Role of β-blocker therapy in pediatric heart failure.

Authors:  Akash R Patel; Robert E Shaddy
Journal:  Ped Health       Date:  2010

Review 10.  Targeting device therapy: genomics of sudden death.

Authors:  J Michael Frangiskakis; Barry London
Journal:  Heart Fail Clin       Date:  2010-01       Impact factor: 3.179

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