Literature DB >> 24357089

Genetic polymorphisms of metabolic enzymes and the pharmacokinetics of indapamide in Taiwanese subjects.

Teng-Hsu Wang1, Cheng-Huei Hsiong, Hsin-Tien Ho, Tung-Yuan Shih, San-Jan Yen, Hui-Hung Wang, Jer-Yuarn Wu, Benjamin Pei-Chung Kuo, Yuan-Tsong Chen, Shung-Tai Ho, Oliver Yoa-Pu Hu.   

Abstract

To understand the genetic makeup and impact on pharmacokinetics (PK) in the Taiwanese population, we analyzed the pharmacogenetic (PG) profile and demonstrated its effects on enzyme metabolism using indapamide as an example. A multiplex mass spectrometry method was used to examine the single nucleotide polymorphism (SNP) profile of eight major phases I and II metabolic enzymes in 1,038 Taiwanese subjects. A PG/PK study was conducted in 24 healthy subjects to investigate the possible effects of 28 SNPs on drug biotransformation. Among the genetic profile analyzed, eight SNPs from CYP2A6, CYP2C19, CYP2D6, CYP2E1, CYP3A5, and UGT2B7 showed higher variant frequencies than those previously reported in Caucasians or Africans. For instance, we observed 14.7% frequency of the SNP rs5031016 (I471T) from CYP2A6 in Taiwanese, whereas 0% variation was reported in Caucasians and Africans. The PG/PK study of indapamide demonstrated that the polymorphic SNPs CYP2C9 rs4918758 and CYP2C19 rs4244285 appeared to confer lowered enzyme activity, as indicated by increased C max (25% ∼ 64%), increased area under the plasma level-time curves (30~76%), increased area under the time infinity (43% ∼ 80%), and lower apparent clearance values than PK for wild-type indapamide. Our results reinforce the biochemical support of CYP2C19 in indapamide metabolism and identify a possible new participating enzyme CYP2C9. The PG/PK approach contributed toward understanding the genetic makeup of different ethnic groups and associations of enzymes in drug metabolism. It could be used to identify two genetic markers that enable to differentiate subjects with varied PK outcomes of indapamide.

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Year:  2013        PMID: 24357089      PMCID: PMC3933584          DOI: 10.1208/s12248-013-9535-x

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  34 in total

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Review 3.  The use of MassARRAY technology for high throughput genotyping.

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Journal:  Am J Health Syst Pharm       Date:  2002-11-01       Impact factor: 2.637

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  5 in total

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2.  Pharmacokinetic properties of two erlotinib 150 mg formulations with a genetic effect evaluation in healthy Korean subjects.

Authors:  Hyun-Gyu Choi; Ji-Young Jeon; Yong-Jin Im; Yunjeong Kim; Eun-Kee Song; Young-Hwan Seo; Seok-Je Cho; Min-Gul Kim
Journal:  Clin Drug Investig       Date:  2015-01       Impact factor: 3.580

3.  Independent and Interactive Effects of Sex and CYP2C9 Variant rs4918758 on Ischemic Stroke Risk in Taiwan Biobank.

Authors:  Jui-Wen Peng; Oswald Ndi Nfor; Chien-Chang Ho; Shu-Yi Hsu; Ming-Chih Chou; Yung-Po Liaw
Journal:  Int J Gen Med       Date:  2022-04-01

4.  The correlation between UDP-glucuronosyltransferase polymorphisms and environmental endocrine disruptors levels in polycystic ovary syndrome patients.

Authors:  Yunyao Luo; Ying Nie; Lu Tang; Charles C Xu; Liangzhi Xu
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.817

Review 5.  Influence of CYP2C9 Genetic Polymorphisms on the Pharmacokinetics of Losartan and Its Active Metabolite E-3174: A Systematic Review and Meta-Analysis.

Authors:  Yoon-A Park; Yu-Bin Song; Jeong Yee; Ha-Young Yoon; Hye-Sun Gwak
Journal:  J Pers Med       Date:  2021-06-29
  5 in total

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