Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore.
J Clin Pharm Ther. 2013 Apr;38(2):141-9. doi: 10.1111/jcpt.12003. Epub 2012 Dec 12.
Interindividual variability in alcohol pharmacokinetics is influenced by a number of factors, including polymorphisms in genes mediating alcohol pharmacology, ethnicity, sex and body size. Several studies have evaluated the population pharmacokinetics of alcohol from breath alcohol measures. None of these studies, however, have evaluated ethnicity and alcohol-metabolizing enzyme genotypes as covariates in their population pharmacokinetic modelling. We aimed to develop a population pharmacokinetic model using clinical and genetic factors and to identify covariates that influenced interindividual variability in alcohol clearance and volume of distribution.
Hundred and eighty healthy subjects (90 Chinese and 90 Indians; 45 males and 45 females from each ethnic group) ingested a vodka-orange juice mixture to simulate social drinking. Subjects were genotyped for the ADH1B (Arg48His), ALDH2 (Glu504Lys) and CYP2E1 (c.-1293G>C and c.-1053C>T) polymorphisms. A base pharmacokinetic model was developed using the nonmem software (NONMEM Project Group, University of California, San Francisco, San Francisco, CA, USA) to determine the alcohol clearance and volume of distribution. The model was extended to include covariates that influenced the between-subject variability.
Body weight and sex significantly influenced absorption rate and volume of distribution of alcohol. Body weight and ADH1B Arg48His polymorphism significantly influenced alcohol clearance. The Michaelis-Menten elimination rate (Vmax ) was decreased by 10% in homozygous ADH1B*1/*1 subjects. Ethnicity was not determined to be a significant covariate in the final population pharmacokinetic model.
Gender and body weight were covariates that contributed most to explaining the observed interindividual alcohol pharmacokinetic variability. Of the four SNPs examined in this study, only ADH1B Arg48His polymorphism had a significant, though modest, effect on the pharmacokinetics of alcohol.
酒精药代动力学的个体间变异性受多种因素影响,包括介导酒精药理学的基因多态性、种族、性别和体型。有几项研究已经评估了呼吸酒精测量的酒精群体药代动力学。然而,这些研究都没有将种族和酒精代谢酶基因型作为群体药代动力学建模的协变量进行评估。我们旨在使用临床和遗传因素开发一种群体药代动力学模型,并确定影响酒精清除率和分布容积个体间变异性的协变量。
180 名健康受试者(90 名中国人和 90 名印度人;每组 45 名男性和 45 名女性)摄入伏特加-橙汁混合物模拟社交饮酒。对受试者进行 ADH1B(Arg48His)、ALDH2(Glu504Lys)和 CYP2E1(c.-1293G>C 和 c.-1053C>T)多态性的基因分型。使用非MEM 软件(加利福尼亚大学旧金山分校 NONMEM 项目组,旧金山,加利福尼亚州,美国)开发基础药代动力学模型,以确定酒精清除率和分布容积。该模型扩展到包括影响个体间变异性的协变量。
体重和性别显著影响酒精的吸收速率和分布容积。体重和 ADH1B Arg48His 多态性显著影响酒精清除率。纯合 ADH1B*1/*1 受试者的米氏消除速率(Vmax)降低了 10%。在最终的群体药代动力学模型中,种族未被确定为显著的协变量。
性别和体重是解释个体间酒精药代动力学变异性的最重要协变量。在本研究中检查的四个 SNP 中,只有 ADH1B Arg48His 多态性对酒精的药代动力学有显著但适度的影响。