Literature DB >> 15470329

Impact of the ultrarapid metabolizer genotype of cytochrome P450 2D6 on metoprolol pharmacokinetics and pharmacodynamics.

Julia Kirchheiner1, Claudia Heesch, Steffen Bauer, Christian Meisel, Angela Seringer, Mark Goldammer, Mladen Tzvetkov, Ingolf Meineke, Ivar Roots, Jürgen Brockmöller.   

Abstract

INTRODUCTION: In the treatment of heart failure and hypertension with metoprolol, ultrarapid metabolizers (UMs) may not achieve optimal target concentrations with recommended doses. We compared metoprolol pharmacokinetics and effects in UMs with extensive metabolizers (EMs) and with poor metabolizers (PM) as an additional reference group.
METHODS: After a single dose of 100 mg metoprolol, pharmacokinetics, resting and exercise heart rate, and blood pressure were analyzed in relation to the CYP2D6 genotypes. We included 12 UMs, 13 EMs, and 4 PMs (healthy volunteers). CYP2D6 genotyping covered alleles *1 to *6 , *9 , *10 , *35 , and *41 and the duplications. beta 1 -Adrenergic receptor polymorphisms Ser49Gly and Arg389Gly were included as factors possibly interfering with the pharmacokinetic-pharmacodynamic relationship of metoprolol.
RESULTS: Median total metoprolol clearance values were 31, 168, and 367 L/h and median maximum plasma concentrations were 260, 118, and 67 microg/L in PMs, EMs, and UMs, respectively ( P < .0001). At 6 hours after administration, metoprolol reduced the exercise heart rate by median values of 31, 21, and 18 beats/min in PMs, EMs, and UMs, respectively ( P = .01). Blood pressure did not significantly differ according to CYP2D6 .
CONCLUSIONS: A linear relationship between the number of active CYP2D6 genes and metabolic clearance of metoprolol was found and the the median clearances differed by more than 10-fold between the PM and the UM groups. Metoprolol pharmacodynamics, however, differed only by less than 2-fold, and there was only a marginal difference in metoprolol efficacy on heart rate between the EM and UM groups.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15470329     DOI: 10.1016/j.clpt.2004.07.002

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  36 in total

1.  Prediction of drug response and safety in clinical practice.

Authors:  Andrew A Monte; Kennon J Heard; Vasilis Vasiliou
Journal:  J Med Toxicol       Date:  2012-03

Review 2.  [Personalized drug therapy based on genetics. Possibilities and examples from clinical practice].

Authors:  J C Stingl; K S Just; K Kaumanns; M Schurig-Urbaniak; C Scholl; D von Mallek; J Brockmöller
Journal:  Internist (Berl)       Date:  2016-03       Impact factor: 0.743

3.  The effect of CYP2D6 drug-drug interactions on hydrocodone effectiveness.

Authors:  Andrew A Monte; Kennon J Heard; Jenny Campbell; D Hamamura; Richard M Weinshilboum; Vasilis Vasiliou
Journal:  Acad Emerg Med       Date:  2014-08-24       Impact factor: 3.451

Review 4.  The role of pharmacogenetics in cancer therapeutics.

Authors:  Wei Peng Yong; Federico Innocenti; Mark J Ratain
Journal:  Br J Clin Pharmacol       Date:  2006-07       Impact factor: 4.335

5.  Mixture models and subpopulation classification: a pharmacokinetic simulation study and application to metoprolol CYP2D6 phenotype.

Authors:  Nitin Kaila; Robert J Straka; Richard C Brundage
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-10-12       Impact factor: 2.745

Review 6.  Pharmacogenetics in drug regulation: promise, potential and pitfalls.

Authors:  Rashmi R Shah
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

Review 7.  Pharmacokinetic Variability of Drugs Used for Prophylactic Treatment of Migraine.

Authors:  Peer Tfelt-Hansen; Frederik Nybye Ågesen; Agniezka Pavbro; Jacob Tfelt-Hansen
Journal:  CNS Drugs       Date:  2017-05       Impact factor: 5.749

Review 8.  [CYP2D6-, CYP2C9- and CYP2C19-based dose adjustments: when do they make sense?].

Authors:  A Seeringer; J Kirchheiner
Journal:  Internist (Berl)       Date:  2008-07       Impact factor: 0.743

9.  Effects of imatinib (Glivec) on the pharmacokinetics of metoprolol, a CYP2D6 substrate, in Chinese patients with chronic myelogenous leukaemia.

Authors:  Yanfeng Wang; Li Zhou; Catherine Dutreix; Elisabeth Leroy; Qi Yin; Venkat Sethuraman; Gilles-Jacques Riviere; Ophelia Q P Yin; Horst Schran; Zhi-Xiang Shen
Journal:  Br J Clin Pharmacol       Date:  2008-04-01       Impact factor: 4.335

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.