Literature DB >> 18974607

Influence of ALDH2 genetic polymorphisms on aciclovir pharmacokinetics following oral administration of valaciclovir in Japanese end-stage renal disease patients.

Katsutoshi Hara1, Kazuaki Suyama, Hiroshi Itoh, Satoru Nagashima.   

Abstract

This study was performed to investigate the pharmacokinetics of valaciclovir (VACV), aciclovir (ACV) and 9-(carboxymethoxy)methylguanine (CMMG) in Japanese chronic hemodialysis patients following a single oral administration of 1000 mg VACV and the influence of genetic polymorphisms of aldehyde dehydrogenase-2 (ALDH2) on their pharmacokinetics. A total of eighteen individuals genotyped as ALDH2*1/*1, ALDH2*1/*2 or ALDH2*2/*2 were enrolled in this study. Blood samples were obtained pre-dose and up to 48 hour post-dose. ACV t(1/2) was significantly affected by ALDH2 genotype and prolonged in the order of ALDH2*1/*1 (18.1 hr)<ALDH2*1/*2 (21.9 hr)<ALDH2*2/*2 (26.7 hr). ACV AUC from zero to infinity (AUC(0-infinity)) increased with prolonged ACV t(1/2). ACV C(max) was similar across the three ALDH2 genotype groups. There was no apparent relationship between ALDH2 genotype and VACV or CMMG pharmacokinetics. This is the first study to show an association between ALDH2 genetic polymorphisms and ACV elimination rate (t(1/2)) in Japanese end-stage renal disease patients.

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Year:  2008        PMID: 18974607     DOI: 10.2133/dmpk.23.306

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  3 in total

Review 1.  A personalized medicine approach for Asian Americans with the aldehyde dehydrogenase 2*2 variant.

Authors:  Eric R Gross; Vanessa O Zambelli; Bryce A Small; Julio C B Ferreira; Che-Hong Chen; Daria Mochly-Rosen
Journal:  Annu Rev Pharmacol Toxicol       Date:  2014-09-29       Impact factor: 13.820

2.  PharmGKB summary: acyclovir/ganciclovir pathway.

Authors:  Maud Maillard; Li Gong; Rina Nishii; Jun J Yang; Michelle Whirl-Carrillo; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2022-05-30       Impact factor: 2.000

3.  Genome-wide association analysis identifies multiple loci associated with kidney disease-related traits in Korean populations.

Authors:  Jeonghwan Lee; Young Lee; Boram Park; Sungho Won; Jin Suk Han; Nam Ju Heo
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

  3 in total

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