Literature DB >> 22192668

A common β1-adrenergic receptor polymorphism predicts favorable response to rate-control therapy in atrial fibrillation.

Babar Parvez1, Nagesh Chopra, Shane Rowan, Joseph C Vaglio, Raafia Muhammad, Dan M Roden, Dawood Darbar.   

Abstract

OBJECTIVES: In this study, we evaluated the impact of 2 common β1-adrenergic receptor (β1-AR) polymorphisms (G389R and S49G) in response to ventricular rate control therapy in patients with atrial fibrillation (AF).
BACKGROUND: Randomized studies have shown that ventricular rate control is an acceptable treatment strategy in patients with AF. However, identification of patients who will adequately respond to rate-control therapy remains a challenge.
METHODS: We studied 543 subjects (63% men; age 61.8 ± 14 years) prospectively enrolled in the Vanderbilt AF registry and managed with rate-control strategy. A "responder" displayed adequate ventricular rate control based on the AFFIRM (Atrial Fibrillation Follow-Up Investigation of Rhythm Management) criteria: average heart rate (HR) at rest ≤80 beats/min; and maximum HR during a 6-min walk test ≤110 beats/min or average HR during 24-h Holter ≤100 beats/min.
RESULTS: A total of 295 (54.3%) patients met the AFFIRM criteria. Baseline clinical characteristics were similar in responders and nonresponders except for mean resting HR (76 ± 20 beats/min vs. 70 ± 15 beats/min; p < 0.01) and smoking (6% vs. 1%; p < 0.01). Multiple clinical variables (age, gender, hypertension) failed to predict response to rate-control therapy. By contrast, carriers of Gly variant at 389 were more likely to respond favorably to rate-control therapy; 60% versus 51% in the Arg389Arg genotype, p = 0.04. This association persisted after correction for multiple clinical factors (odds ratio: 1.42, 95% confidence interval: 1.00 to 2.03, p < 0.05). Among responders, subjects carrying the Gly389 variant required the lowest doses of rate-control medications; atenolol: 92 mg versus 68 mg; carvedilol: 44 mg versus 20 mg; metoprolol: 80 mg versus 72 mg; diltiazem: 212 mg versus 180 mg, and verapamil: 276 mg versus 200 mg, respectively (p < 0.01 for all comparisons).
CONCLUSIONS: We have identified a common β1-AR polymorphism, G389R, that is associated with adequate response to rate-control therapy in AF patients. Gly389 is a loss-of-function variant; consequently, for the same adrenergic stimulation, it produces reduced levels of adenyl cyclase, and hence, attenuates the β-adrenergic cascade. Mechanistically, the effect of rate-control drugs will be synergistic with that of the Gly389 variant, which could possibly explain our findings. These findings represent a step forward in the development of a long-term strategy of selecting treatment options in AF based on genotype.
Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22192668      PMCID: PMC3245828          DOI: 10.1016/j.jacc.2011.08.061

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  28 in total

1.  Effects of beta1-adrenoceptor genetic polymorphisms on resting hemodynamics in patients undergoing diagnostic testing for ischemia.

Authors:  L M Humma; B J Puckett; H E Richardson; S G Terra; T E Andrisin; B L Lejeune; M R Wallace; J F Lewis; D M McNamara; L Picoult-Newberg; C J Pepine; J A Johnson
Journal:  Am J Cardiol       Date:  2001-11-01       Impact factor: 2.778

2.  A comparison of rate control and rhythm control in patients with atrial fibrillation.

Authors:  D G Wyse; A L Waldo; J P DiMarco; M J Domanski; Y Rosenberg; E B Schron; J C Kellen; H L Greene; M C Mickel; J E Dalquist; S D Corley
Journal:  N Engl J Med       Date:  2002-12-05       Impact factor: 91.245

Review 3.  Pharmacology and physiology of human adrenergic receptor polymorphisms.

Authors:  Kersten M Small; Dennis W McGraw; Stephen B Liggett
Journal:  Annu Rev Pharmacol Toxicol       Date:  2002-01-10       Impact factor: 13.820

4.  Polymorphism in the beta(1)-adrenergic receptor gene and hypertension.

Authors:  K Bengtsson; O Melander; M Orho-Melander; U Lindblad; J Ranstam; L Råstam; L Groop
Journal:  Circulation       Date:  2001-07-10       Impact factor: 29.690

5.  Importance of rate control or rate regulation for improving exercise capacity and quality of life in patients with permanent atrial fibrillation and normal left ventricular function: a randomised controlled study.

Authors:  T Levy; S Walker; M Mason; P Spurrell; S Rex; S Brant; V Paul
Journal:  Heart       Date:  2001-02       Impact factor: 5.994

6.  The myocardium-protective Gly-49 variant of the beta 1-adrenergic receptor exhibits constitutive activity and increased desensitization and down-regulation.

Authors:  Malin C Levin; Stefano Marullo; Olivier Muntaner; Bert Andersson; Yvonne Magnusson
Journal:  J Biol Chem       Date:  2002-05-28       Impact factor: 5.157

7.  A novel polymorphism in the gene coding for the beta(1)-adrenergic receptor associated with survival in patients with heart failure.

Authors:  M Börjesson; Y Magnusson; A Hjalmarson; B Andersson
Journal:  Eur Heart J       Date:  2000-11       Impact factor: 29.983

8.  Rhythm or rate control in atrial fibrillation--Pharmacological Intervention in Atrial Fibrillation (PIAF): a randomised trial.

Authors:  S H Hohnloser; K H Kuck; J Lilienthal
Journal:  Lancet       Date:  2000-11-25       Impact factor: 79.321

9.  A polymorphism in the beta1 adrenergic receptor is associated with resting heart rate.

Authors:  Koustubh Ranade; Eric Jorgenson; Wayne H-H Sheu; Dee Pei; Chao Agnes Hsiung; Fu-tien Chiang; Yii-der I Chen; Richard Pratt; Richard A Olshen; David Curb; David R Cox; David Botstein; Neil Risch
Journal:  Am J Hum Genet       Date:  2002-02-18       Impact factor: 11.025

10.  Common variants in KCNN3 are associated with lone atrial fibrillation.

Authors:  Patrick T Ellinor; Kathryn L Lunetta; Nicole L Glazer; Arne Pfeufer; Alvaro Alonso; Mina K Chung; Moritz F Sinner; Paul I W de Bakker; Martina Mueller; Steven A Lubitz; Ervin Fox; Dawood Darbar; Nicholas L Smith; Jonathan D Smith; Renate B Schnabel; Elsayed Z Soliman; Kenneth M Rice; David R Van Wagoner; Britt-M Beckmann; Charlotte van Noord; Ke Wang; Georg B Ehret; Jerome I Rotter; Stanley L Hazen; Gerhard Steinbeck; Albert V Smith; Lenore J Launer; Tamara B Harris; Seiko Makino; Mari Nelis; David J Milan; Siegfried Perz; Tõnu Esko; Anna Köttgen; Susanne Moebus; Christopher Newton-Cheh; Man Li; Stefan Möhlenkamp; Thomas J Wang; W H Linda Kao; Ramachandran S Vasan; Markus M Nöthen; Calum A MacRae; Bruno H Ch Stricker; Albert Hofman; André G Uitterlinden; Daniel Levy; Eric Boerwinkle; Andres Metspalu; Eric J Topol; Aravinda Chakravarti; Vilmundur Gudnason; Bruce M Psaty; Dan M Roden; Thomas Meitinger; H-Erich Wichmann; Jacqueline C M Witteman; John Barnard; Dan E Arking; Emelia J Benjamin; Susan R Heckbert; Stefan Kääb
Journal:  Nat Genet       Date:  2010-02-21       Impact factor: 38.330

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  29 in total

Review 1.  Genetic determinants of response to cardiovascular drugs.

Authors:  Quinn S Wells; Jessica T Delaney; Dan M Roden
Journal:  Curr Opin Cardiol       Date:  2012-05       Impact factor: 2.161

2.  Genetic variation in the β1-adrenergic receptor is associated with the risk of atrial fibrillation after cardiac surgery.

Authors:  Janina M Jeff; Brian S Donahue; Kristin Brown-Gentry; Dan M Roden; Dana C Crawford; C Michael Stein; Daniel Kurnik
Journal:  Am Heart J       Date:  2013-10-17       Impact factor: 4.749

Review 3.  Contemporary personalized β-blocker management in the perioperative setting.

Authors:  Adriana D Oprea; Xiaoxiao Wang; Robert Sickeler; Miklos D Kertai
Journal:  J Anesth       Date:  2019-10-21       Impact factor: 2.078

4.  G protein-coupled receptor kinase 5 gene polymorphisms are associated with postoperative atrial fibrillation after coronary artery bypass grafting in patients receiving β-blockers.

Authors:  Mihai V Podgoreanu; Joseph P Mathew; Miklos D Kertai; Yen-Wei Li; Yi-Ju Li; Svati H Shah; William E Kraus; Manuel L Fontes; Mark Stafford-Smith; Mark F Newman
Journal:  Circ Cardiovasc Genet       Date:  2014-07-21

5.  Association of atrial fibrillation with gene polymorphisms of connexin 40 and angiotensin II receptor type 1 in Chongming adults of Shanghai.

Authors:  Shuxin Hou; Yingmin Lu; Damin Huang; Xiaohan Luo; Dongmei Yue; Jinchun Zhang
Journal:  Int J Clin Exp Med       Date:  2015-07-15

6.  Effect of bucindolol on heart failure outcomes and heart rate response in patients with reduced ejection fraction heart failure and atrial fibrillation.

Authors:  David P Kao; Gordon Davis; Ryan Aleong; Christopher M O'Connor; Mona Fiuzat; Peter E Carson; Inder S Anand; Jonathan F Plehn; Stephen S Gottlieb; Marc A Silver; JoAnn Lindenfeld; Alan B Miller; Michel White; Guinevere A Murphy; Will Sauer; Michael R Bristow
Journal:  Eur J Heart Fail       Date:  2012-12-07       Impact factor: 15.534

7.  Evaluating the HATCH score for predicting progression to sustained atrial fibrillation in ED patients with new atrial fibrillation.

Authors:  Tyler W Barrett; Wesley H Self; Brian S Wasserman; Candace D McNaughton; Dawood Darbar
Journal:  Am J Emerg Med       Date:  2013-03-09       Impact factor: 2.469

Review 8.  Genetic mechanisms of atrial fibrillation: impact on response to treatment.

Authors:  Dawood Darbar; Dan M Roden
Journal:  Nat Rev Cardiol       Date:  2013-04-16       Impact factor: 32.419

Review 9.  Cardiovascular pharmacogenomics: the future of cardiovascular therapeutics?

Authors:  Dan M Roden
Journal:  Can J Cardiol       Date:  2012-11-27       Impact factor: 5.223

10.  [Personalized therapy in cardiology. Biomarkers, pharmacogenetics and therapy of monogenic diseases].

Authors:  T Eschenhagen; S Blankenberg
Journal:  Internist (Berl)       Date:  2013-02       Impact factor: 0.743

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