Literature DB >> 18794726

Beta-1-adrenoceptor genetic variants and ethnicity independently affect response to beta-blockade.

Daniel Kurnik1, Chun Li, Gbenga G Sofowora, Eitan A Friedman, Mordechai Muszkat, Hong-Guang Xie, Paul A Harris, Scott M Williams, Usha B Nair, Alastair J J Wood, C Michael Stein.   

Abstract

OBJECTIVES: Black patients may be less responsive to beta-blockers than whites. Genetic variants in the beta1-adrenergic receptor (beta1-AR) associated with lesser response to beta-blockers are more common in blacks than in whites. The purpose of this study was to determine whether ethnic differences in response to beta-blockade can be explained by differing distributions of functional genetic variants in the beta1-AR.
METHODS: We measured sensitivity to beta-blockade by the attenuation of exercise-induced tachycardia in 165 patients (92 whites), who performed a graded bicycle exercise test before and 2.5 h after oral atenolol (25 mg). We determined heart rate at rest and at three exercise levels from continuous ECG recordings and calculated the area under the curve. We also measured plasma atenolol concentrations and determined genotypes for variants of the beta1-AR (Ser49Gly, Arg389Gly) and alpha2C-AR (del322-325). The effects of ethnicity, genotype, and other covariates on the heart rate reduction after atenolol were estimated in multiple regression analyses.
RESULTS: Atenolol resulted in a greater reduction in exercise heart rate in whites than in blacks (P=0.006). beta1-AR Arg389 (P=0.003), but not the alpha2C-AR 322-325 insertion allele (P=0.31), was independently associated with a greater reduction in heart rate area under the curve. Ethnic differences in sensitivity to atenolol remained significant (P=0.006) after adjustment for beta1-AR and alpha2C-AR genotypes.
CONCLUSION: Ethnic differences in sensitivity to the beta1-blocker atenolol persist even after accounting for different distributions of functional genetic beta1-AR variants, suggesting that additional, as yet unidentified factors contribute to such ethnic differences.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18794726      PMCID: PMC2757009          DOI: 10.1097/FPC.0b013e328309733f

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  45 in total

1.  Racial differences in the frequencies of cardiac beta(1)-adrenergic receptor polymorphisms: analysis of c145A>G and c1165G>C.

Authors:  J D Moore; D A Mason; S A Green; J Hsu; S B Liggett
Journal:  Hum Mutat       Date:  1999-09-19       Impact factor: 4.878

2.  Haplotype structure of the beta adrenergic receptor genes in US Caucasians and African Americans.

Authors:  Inna Belfer; Beata Buzas; Catherine Evans; Heather Hipp; Gabriel Phillips; Julie Taubman; Ilona Lorincz; Robert H Lipsky; Mary-Anne Enoch; Mitchell B Max; David Goldman
Journal:  Eur J Hum Genet       Date:  2005-03       Impact factor: 4.246

3.  PowerMarker: an integrated analysis environment for genetic marker analysis.

Authors:  Kejun Liu; Spencer V Muse
Journal:  Bioinformatics       Date:  2005-02-10       Impact factor: 6.937

4.  A gain-of-function polymorphism in a G-protein coupling domain of the human beta1-adrenergic receptor.

Authors:  D A Mason; J D Moore; S A Green; S B Liggett
Journal:  J Biol Chem       Date:  1999-04-30       Impact factor: 5.157

5.  Sympathoneural and adrenomedullary functional effects of alpha2C-adrenoreceptor gene polymorphism in healthy humans.

Authors:  Alexander Neumeister; Dennis S Charney; Inna Belfer; Marilla Geraci; Courtney Holmes; Yehonatan Sharabi; Tanya Alim; Omer Bonne; David A Luckenbaugh; Husseini Manji; David Goldman; David S Goldstein
Journal:  Pharmacogenet Genomics       Date:  2005-03       Impact factor: 2.089

6.  Association between beta-1 and beta-2 adrenergic receptor gene polymorphisms and the response to beta-blockade in patients with stable congestive heart failure.

Authors:  Pascal de Groote; Nicole Helbecque; Nicolas Lamblin; Xavier Hermant; Eugène Mc Fadden; Claude Foucher-Hossein; Philippe Amouyel; Jean Dallongeville; Christophe Bauters
Journal:  Pharmacogenet Genomics       Date:  2005-03       Impact factor: 2.089

7.  Beta1-adrenergic receptor polymorphisms and left ventricular remodeling changes in response to beta-blocker therapy.

Authors:  Steven G Terra; Karen K Hamilton; Daniel F Pauly; Craig R Lee; J Herbert Patterson; Kirkwood F Adams; Richard S Schofield; Bernadette S Belgado; James A Hill; Juan M Aranda; Hossein N Yarandi; Julie A Johnson
Journal:  Pharmacogenet Genomics       Date:  2005-04       Impact factor: 2.089

8.  Pharmacokinetics and CYP2D6 genotypes do not predict metoprolol adverse events or efficacy in hypertension.

Authors:  Issam Zineh; Amber L Beitelshees; Andrea Gaedigk; Joseph R Walker; Daniel F Pauly; Kathleen Eberst; J Steven Leeder; Michael S Phillips; Craig A Gelfand; Julie A Johnson
Journal:  Clin Pharmacol Ther       Date:  2004-12       Impact factor: 6.875

9.  Racial differences in beta-adrenoceptor-mediated responsiveness.

Authors:  J A Johnson; B S Burlew; R N Stiles
Journal:  J Cardiovasc Pharmacol       Date:  1995-01       Impact factor: 3.105

10.  Racial differences in sensitivity to the negative chronotropic effects of propranolol in healthy men.

Authors:  K M Sowinski; B S Burlew; J A Johnson
Journal:  Clin Pharmacol Ther       Date:  1995-06       Impact factor: 6.875

View more
  21 in total

1.  Genetic variation in alpha2-adrenoreceptors and heart rate recovery after exercise.

Authors:  Utkarsh Kohli; André Diedrich; Prince J Kannankeril; Mordechai Muszkat; Gbenga G Sofowora; Maureen K Hahn; Brett A English; Randy D Blakely; C Michael Stein; Daniel Kurnik
Journal:  Physiol Genomics       Date:  2015-06-09       Impact factor: 3.107

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

3.  Genetic variation in the presynaptic norepinephrine transporter is associated with blood pressure responses to exercise in healthy humans.

Authors:  Utkarsh Kohli; Maureen K Hahn; Brett A English; Gbenga G Sofowora; Mordechai Muszkat; Chun Li; Randy D Blakely; C Michael Stein; Daniel Kurnik
Journal:  Pharmacogenet Genomics       Date:  2011-04       Impact factor: 2.089

Review 4.  Race, common genetic variation, and therapeutic response disparities in heart failure.

Authors:  Mathew R Taylor; Albert Y Sun; Gordon Davis; Mona Fiuzat; Stephen B Liggett; Michael R Bristow
Journal:  JACC Heart Fail       Date:  2014-10-22       Impact factor: 12.035

5.  β2 -Adrenergic Receptor Gene Affects the Heart Rate Response of β-Blockers: Evidence From 3 Clinical Studies.

Authors:  Mohamed H Shahin; Nihal El Rouby; Daniela J Conrado; Daniel Gonzalez; Yan Gong; Maximilian T Lobmeyer; Amber L Beitelshees; Eric Boerwinkle; John G Gums; Arlene Chapman; Stephen T Turner; Carl J Pepine; Rhonda M Cooper-DeHoff; Julie A Johnson
Journal:  J Clin Pharmacol       Date:  2019-05-14       Impact factor: 3.126

6.  Genetic variations in the α(2A)-adrenoreceptor are associated with blood pressure response to the agonist dexmedetomidine.

Authors:  Daniel Kurnik; Mordechai Muszkat; Chun Li; Gbenga G Sofowora; Eitan A Friedman; Mika Scheinin; Alastair J J Wood; C Michael Stein
Journal:  Circ Cardiovasc Genet       Date:  2011-02-15

7.  Clinical and genetic modifiers of long-term survival in heart failure.

Authors:  Sharon Cresci; Reagan J Kelly; Thomas P Cappola; Abhinav Diwan; Daniel Dries; Sharon L R Kardia; Gerald W Dorn
Journal:  J Am Coll Cardiol       Date:  2009-07-28       Impact factor: 24.094

8.  GRK5 Gln41Leu polymorphism is not associated with sensitivity to beta(1)-adrenergic blockade in humans.

Authors:  Daniel Kurnik; Andrew J Cunningham; Gbenga G Sofowora; Utkarsh Kohli; Chun Li; Eitan A Friedman; Mordechai Muszkat; Usha B Menon; Alastair Jj Wood; C Michael Stein
Journal:  Pharmacogenomics       Date:  2009-10       Impact factor: 2.533

9.  A genome-wide association study to identify genomic modulators of rate control therapy in patients with atrial fibrillation.

Authors:  Matthew J Kolek; Todd L Edwards; Raafia Muhammad; Adnan Balouch; M Benjamin Shoemaker; Marcia A Blair; Kaylen C Kor; Atsushi Takahashi; Michiaki Kubo; Dan M Roden; Toshihiro Tanaka; Dawood Darbar
Journal:  Am J Cardiol       Date:  2014-06-06       Impact factor: 2.778

10.  Change in mRNA Expression after Atenolol, a Beta-adrenergic Receptor Antagonist and Association with Pharmacological Response.

Authors:  Utkarsh Kohli; Britney L Grayson; Thomas M Aune; Laxmi V Ghimire; Daniel Kurnik; C Michael Stein
Journal:  Arch Drug Inf       Date:  2009-09
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.