Literature DB >> 29793229

The CYP2C9 polymorphism: from enzyme kinetics to clinical dose recommendations.

Julia Kirchheiner1, Martina Tsahuridu2, Wafaa Jabrane3, Ivar Roots2, Jürgen Brockmöller4.   

Abstract

CYP2C9 is the major human enzyme of the cytochrome P450 2C subfamily and metabolizes approximately 10% of all therapeutically relevant drugs. Two inherited SNPs termed CYP2C9*2 (Arg144Cys) and *3 (Ile359Leu) are known to affect catalytic function. Numerous rare or functionally silent polymorphisms have been identified. About 35% of the Caucasian population carries at least one *2 or *3 allele. CYP2C9 metabolizes several oral hypoglycemics, oral anticoagulants, non-steroidal anti-inflammatory drugs and other drugs, including phenytoin, losartan, fluvastatin, and torsemide. In vitro studies with several drugs indicate that the Cys144 (.2) and Leu359 (.3) variants confer only about 70 and 10% of the intrinsic clearance of the wild-type protein (.1), respectively. The clinical pharmacokinetic implications of these polymorphisms vary depending on the enzymes contribution to total oral clearance. Several studies demonstrated that the CYP2C9 polymorphisms are medically important for non-steroidal anti-inflammatory drugs, for oral hypoglycemics, vitamin K antagonistic oral anticoagulants, and phenytoin. In particular, CYP2C9 polymorphisms should be routinely considered in therapy with oral anticoagulants where severe adverse events at initiation of therapy might be reduced by genotyping. CYP2C9 polymorphisms were also clinically associated with side effects of phenytoin, with gastric bleeding during therapy with non-steroidals and with hypoglycemia under oral hypoglycemic drugs. Data appear mature enough for the routine consideration of CYP2C9 genotypes in therapy with acenocoumarol, phenytoin, warfarin, and some other drugs. Nevertheless, it is advisable before the routine clinical use of these genotype data to rigorously test the benefits of genotype-based therapeutic recommendations by randomized controlled clinical trials.

Entities:  

Keywords:  CYP2C9; cytochrome P450; individualization; pharmacogenetics; pharmacogenetics-based dose adjustment

Year:  2004        PMID: 29793229     DOI: 10.1517/17410541.1.1.63

Source DB:  PubMed          Journal:  Per Med        ISSN: 1741-0541            Impact factor:   2.512


  3 in total

1.  Physiologically based pharmacokinetic (PBPK) modeling of piroxicam with regard to CYP2C9 genetic polymorphism.

Authors:  Chang-Keun Cho; Pureum Kang; Hye-Jung Park; Eunvin Ko; Chou Yen Mu; Yun Jeong Lee; Chang-Ik Choi; Hyung Sik Kim; Choon-Gon Jang; Jung-Woo Bae; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-05-31       Impact factor: 4.946

2.  Physiologically based pharmacokinetic modelling to predict the pharmacokinetics of metoprolol in different CYP2D6 genotypes.

Authors:  Choong-Min Lee; Pureum Kang; Chang-Keun Cho; Hye-Jung Park; Yun Jeong Lee; Jung-Woo Bae; Chang-Ik Choi; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-06-28       Impact factor: 4.946

3.  Development of the PGx-Passport: A Panel of Actionable Germline Genetic Variants for Pre-Emptive Pharmacogenetic Testing.

Authors:  Cathelijne H van der Wouden; Mandy H van Rhenen; Wafa O M Jama; Magnus Ingelman-Sundberg; Volker M Lauschke; Lidija Konta; Matthias Schwab; Jesse J Swen; Henk-Jan Guchelaar
Journal:  Clin Pharmacol Ther       Date:  2019-06-12       Impact factor: 6.875

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.