Literature DB >> 25144335

Effect of CYP2C9 genetic polymorphism on the metabolism of flurbiprofen in vitro.

Li Wang1, Shi-Hui Bao, Pei-Pei Pan, Meng-Ming Xia, Meng-Chun Chen, Bing-Qing Liang, Da-Peng Dai, Jian-Ping Cai, Guo-Xin Hu.   

Abstract

CYP2C9 is an important member of the cytochrome P450 enzyme superfamily, and 57 cytochrome P450 2C9 alleles have been previously reported. To examine the enzymatic activity of the CYP2C9 alleles, kinetic parameters for 4'-hydroxyflurbiprofen were determined using recombinant human P450s CYP2C9 microsomes from insect cells Sf21 carrying wild-type CYP2C9*1 and other variants. The results showed that the enzyme activity of most of the variants decreased comparing with the wild type as the previous studies reported, while the enzyme activity of some of them increased, which were not in accordance with the previous researches. Of the 36 tested CYP2C9 allelic isoforms, two variants (CYP2C9*53 and CYP2C9*56) showed a higher intrinsic clearance value than the wild-type protein, especially for CYP2C9*56, exhibited much higher intrinsic clearance (197.3%) relative to wild-type CYP2C9*1, while the remaining 33 CYP2C9 allelic isoforms exhibited significantly decreased clearance values (from 0.6 to 83.8%) compared to CYP2C9*1. This study provided the most comprehensive data on the enzymatic activities of all reported CYP2C9 variants in the Chinese population with regard to the commonly used non-steroidal anti-inflammatory drug, flurbiprofen (FP). The results indicated that most of the tested rare alleles decreased the catalytic activity of CYP2C9 variants toward FP hydroxylation in vitro. This is the first report of all these rare alleles for FP metabolism providing fundamental data for further clinical studies on CYP2C9 alleles for FP metabolism in vivo.

Entities:  

Keywords:  Allelic variants; cytochrome P450 2C9; drug metabolism; flurbiprofen; genetic polymorphism

Mesh:

Substances:

Year:  2014        PMID: 25144335     DOI: 10.3109/03639045.2014.950274

Source DB:  PubMed          Journal:  Drug Dev Ind Pharm        ISSN: 0363-9045            Impact factor:   3.225


  7 in total

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2.  Design of a tripartite network for the prediction of drug targets.

Authors:  Ryo Kunimoto; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2018-01-16       Impact factor: 3.686

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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

4.  Physiologically based pharmacokinetic (PBPK) modeling of flurbiprofen in different CYP2C9 genotypes.

Authors:  Sang-Sup Whang; Chang-Keun Cho; Eui Hyun Jung; Pureum Kang; Hye-Jung Park; Yun Jeong Lee; Chang-Ik Choi; Jung-Woo Bae; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-08-26       Impact factor: 6.010

5.  Population pharmacokinetic modeling of flurbiprofen, the active metabolite of flurbiprofen axetil, in Chinese patients with postoperative pain.

Authors:  Jingru Zhang; Hong Zhang; Libo Zhao; Jian Gu; Yi Feng; Haiyan An
Journal:  J Pain Res       Date:  2018-11-30       Impact factor: 3.133

6.  Functional Measurement of CYP2C9 and CYP3A4 Allelic Polymorphism on Sildenafil Metabolism.

Authors:  Peng-Fei Tang; Xiang Zheng; Xiao-Xia Hu; Cheng-Cheng Yang; Zhe Chen; Jian-Chang Qian; Jian-Ping Cai; Guo-Xin Hu
Journal:  Drug Des Devel Ther       Date:  2020-11-24       Impact factor: 4.162

7.  The Impact of CYP2C9*11 Allelic Variant on the Pharmacokinetics of Phenytoin and (S)-Warfarin.

Authors:  Maor Wanounou; Chanan Shaul; Zahi Abu Ghosh; Shoshana Alamia; Yoseph Caraco
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  7 in total

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