Literature DB >> 20643254

Relation of ADRB1, CYP2D6, and UGT1A1 polymorphisms with dose of, and response to, carvedilol or metoprolol therapy in patients with chronic heart failure.

Linnea M Baudhuin1, Wayne L Miller, Laura Train, Sandra Bryant, Karen A Hartman, Mary Phelps, Mary Larock, Allan S Jaffe.   

Abstract

The response to beta blockers in patients with heart failure could be associated with the genotype of drug-metabolizing enzymes and/or drug targets. The purpose of the present study was to determine whether specific genetic polymorphisms in ADRB1 (encoding the beta1-adrenergic receptor), CYP2D6, and UGT1A1 correlated with dose of, or response to, metoprolol or carvedilol treatment in patients with heart failure. A cohort of patients with heart failure (n = 93), characterized as responders or nonresponders to metoprolol (n = 19) or carvedilol (n = 74) therapy, was retrospectively identified. Individual genotyping was performed for a panel of polymorphisms in the ADRB1, CYP2D6, and UGT1A1 genes. Univariate and multivariate analyses were performed to compare the genotype to the metoprolol or carvedilol response status and dose. A nonresponse was identified in 10 of 19 patients taking metoprolol and 32 of 74 patients taking carvedilol. None of the polymorphisms in ADRB1, CYP2D6, and UGT1A1 were associated with a response or nonresponse. However, a significant relation between the carvedilol (but not metoprolol) dose and the ADRB1 and CYP2D6 genotype was observed. Patients homozygous for the ADRB1 389Gly variant or who were CYP2D6 poor metabolizers achieved a significantly higher dose of carvedilol (p = 0.01 and p = 0.02, respectively). In conclusion, polymorphisms in ADRB1, CYP2D6, and UGT1A1 were not associated with a response to metoprolol or carvedilol therapy in our cohort of patients with heart failure. The ADRB1 and CYP2D6 genotype, alone and in haplotype, were significantly associated with the dose of carvedilol. Copyright (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20643254     DOI: 10.1016/j.amjcard.2010.03.041

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  19 in total

1.  CYP2D6 Genetic Variation and Beta-Blocker Maintenance Dose in Patients with Heart Failure.

Authors:  Jasmine A Luzum; Kevin M Sweet; Philip F Binkley; Tara J Schmidlen; Joseph P Jarvis; Michael F Christman; Wolfgang Sadee; Joseph P Kitzmiller
Journal:  Pharm Res       Date:  2017-02-08       Impact factor: 4.200

Review 2.  Pharmacogenetics in chronic heart failure: new developments and current challenges.

Authors:  Jasmine A Talameh; David E Lanfear
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Review 3.  Systems-based approaches to cardiovascular disease.

Authors:  W Robb MacLellan; Yibin Wang; Aldons J Lusis
Journal:  Nat Rev Cardiol       Date:  2012-01-10       Impact factor: 32.419

4.  Regulatory Variants Modulate Protein Kinase C α (PRKCA) Gene Expression in Human Heart.

Authors:  Liang Li; Lizhi Zhang; Philip F Binkley; Wolfgang Sadee; Danxin Wang
Journal:  Pharm Res       Date:  2017-01-24       Impact factor: 4.200

Review 5.  Precision Cardiovascular Medicine: State of Genetic Testing.

Authors:  John R Giudicessi; Iftikhar J Kullo; Michael J Ackerman
Journal:  Mayo Clin Proc       Date:  2017-04       Impact factor: 7.616

Review 6.  CYP2D6 polymorphism and its impact on the clinical response to metoprolol: A systematic review and meta-analysis.

Authors:  Maxime Meloche; Michael Khazaka; Imad Kassem; Amina Barhdadi; Marie-Pierre Dubé; Simon de Denus
Journal:  Br J Clin Pharmacol       Date:  2020-04-05       Impact factor: 4.335

Review 7.  Genetic prediction of heart failure incidence, prognosis and beta-blocker response.

Authors:  Fabiana Filigheddu
Journal:  Mol Diagn Ther       Date:  2013-08       Impact factor: 4.074

8.  Antihypertensive Prescription Pattern and Compliance to JNC 7 and JNC 8 at Tertiary Care Government Hospital, Hyderabad, India: A Cross-sectional Retrospective Study.

Authors:  Varsha Varakantham; Ashok Kumar Kurakula Sailoo; Dinesh Kumar Bharatraj
Journal:  Hosp Pharm       Date:  2017-11-01

9.  Pharmacogenomic studies of hypertension: paving the way for personalized antihypertensive treatment.

Authors:  Michael T Eadon; Sri H Kanuri; Arlene B Chapman
Journal:  Expert Rev Precis Med Drug Dev       Date:  2018-01-03

10.  Variants in ADRB1 and CYP2C9: Association with Response to Atenolol and Losartan in Marfan Syndrome.

Authors:  Sara L Van Driest; Lynn A Sleeper; Bruce D Gelb; Shaine A Morris; Harry C Dietz; Geoffrey A Forbus; Elizabeth Goldmuntz; Arvind Hoskoppal; Jeanne James; Teresa M Lee; Jami C Levine; Jennifer S Li; Bart L Loeys; Larry W Markham; Josephina A N Meester; Seema Mital; Jonathan D Mosley; Aaron K Olson; Marjolijn Renard; Christian M Shaffer; Angela Sharkey; Luciana Young; Ronald V Lacro; Dan M Roden
Journal:  J Pediatr       Date:  2020-07       Impact factor: 4.406

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