Literature DB >> 20686235

Population pharmacokinetics of R- and S-carvedilol in Japanese patients with chronic heart failure.

Masako Saito1, Junichi Kawana, Tetsuro Ohno, Kazuhiko Hanada, Masahiro Kaneko, Kiyoshi Mihara, Mari Shiomi, Masatoshi Nagayama, Tetsuya Sumiyoshi, Hiroyasu Ogata.   

Abstract

Carvedilol is a beta-adrenoceptor antagonist used for treating chronic heart failure (CHF). Two clinical studies were conducted to evaluate the population pharmacokinetics and pharmacodynamics of R- and S-carvedilol, and associated covariates, in patients with CHF. Fifty-eight patients (male=45, female=13) with New York Heart Association class I-IV CHF were enrolled in two clinical studies. R- and S-carvedilol concentrations were measured using HPLC at steady-state after oral administration of carvedilol at 1.25-20 mg o.d. or b.i.d. The data from both studies were used to estimate the population pharmacokinetic parameters and covariates using the nonlinear mixed effects model program. For 40 patients evaluated in one clinical study, the cytochrome P450 (CYP)2D6 *1, *10, and *5 genotypes were determined using allele-specific primer PCR, and individual patients' oral clearance (CL/F) of both enantiomers were estimated by the empirical Bayes method. A one-compartment model with a first-order absorption rate was established, in which body weight and alpha(1)-acid glycoprotein were significant covariates. Individual CL/F values for carvedilol were significantly lower in Japanese CHF patients with the CYP2D6 *1/*5, *5/*10 and *10/*10 genotypes. Estimation of the population pharmacokinetic parameters and their covariates for each enantiomer in Japanese patients with CHF showed that the CL/F values for R- and S-carvedilol were dependent on body weight, alpha(1)-acid glycoprotein, and CYP2D6 genotype. Prediction of exposure to free plasma carvedilol is important for dosage adjustment of beta-blocker therapy in patients with CHF.

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Year:  2010        PMID: 20686235     DOI: 10.1248/bpb.33.1378

Source DB:  PubMed          Journal:  Biol Pharm Bull        ISSN: 0918-6158            Impact factor:   2.233


  7 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.  Clinical pharmacokinetics of drugs in patients with heart failure: an update (part 2, drugs administered orally).

Authors:  Ryuichi Ogawa; Joan M Stachnik; Hirotoshi Echizen
Journal:  Clin Pharmacokinet       Date:  2014-12       Impact factor: 6.447

Review 3.  Challenges to assess substrate-dependent allelic effects in CYP450 enzymes and the potential clinical implications.

Authors:  Lauren A Marcath; Amy L Pasternak; Daniel L Hertz
Journal:  Pharmacogenomics J       Date:  2019-10-15       Impact factor: 3.550

Review 4.  Pharmacogenetic factors affecting β-blocker metabolism and response.

Authors:  Cameron D Thomas; Julie A Johnson
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-09-09       Impact factor: 4.481

5.  Effects of αβ-Blocker Versus β1-Blocker Treatment on Heart Rate Response During Incremental Cardiopulmonary Exercise in Japanese Male Patients with Subacute Myocardial Infarction.

Authors:  Shinji Nemoto; Yusuke Kasahara; Kazuhiro P Izawa; Satoshi Watanabe; Kazuya Yoshizawa; Naoya Takeichi; Kentaro Kamiya; Norio Suzuki; Kazuto Omiya; Atsuhiko Matsunaga; Yoshihiro J Akashi
Journal:  Int J Environ Res Public Health       Date:  2019-08-08       Impact factor: 3.390

6.  UHPLC Enantiomer Resolution for the ɑ/β-Adrenoceptor Antagonist R/S-Carvedilol and Its Major Active Metabolites on Chiralpak IB N-5.

Authors:  Liza Samir; Rasha Hanafi; Sami El Deeb; Hilde Spahn-Langguth
Journal:  Molecules       Date:  2022-08-05       Impact factor: 4.927

7.  Influence of CYP2D6 Polymorphism on the Pharmacokinetic/Pharmacodynamic Characteristics of Carvedilol in Healthy Korean Volunteers.

Authors:  Eben Jung; Sunae Ryu; Zewon Park; Jong-Gu Lee; Jung-Yeon Yi; Doo Won Seo; Juhyun Lee; Ho-Sang Jeong; Jeong Mi Kim; Woo-Yong Oh
Journal:  J Korean Med Sci       Date:  2018-05-23       Impact factor: 2.153

  7 in total

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