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波多黎各人中基于基因型的华法林血药浓度药代动力学模拟

Genotype-driven pharmacokinetic simulations of warfarin levels in Puerto Ricans.

作者信息

Reyes-González Stephanie, de Las Barreras Camila, Reynaldo Gledys, Rodríguez-Vera Leyanis, Vlaar Cornelis, Mejias Vilmali Lopez, Monbaliu Jean-Christophe M, Stelzer Torsten, Mangas Victor, Duconge Jorge

机构信息

Department of Pharmaceutical Sciences, School of Pharmacy, University of Puerto Rico - Medical Sciences Campus, San Juan00936,Puerto Rico, USA.

Institute of Pharmacy and Foods, University of Havana, Havana, Cuba.

出版信息

Drug Metab Pers Ther. 2020 Aug 19. doi: 10.1515/dmdi-2020-0135.

Abstract

Objectives The inter-individual variability of warfarin dosing has been linked to genetic polymorphisms. This study was aimed at performing genotype-driven pharmacokinetic (PK) simulations to predict warfarin levels in Puerto Ricans. Methods Analysis of each individual dataset was performed by one-compartmental modeling using WinNonlin®v6.4. The k e of warfarin given a cytochrome P450 2C9 (CYP2C9) genotype ranged from 0.0189 to 0.0075 h-1. K a and V d parameters were taken from literature. Data from 128 subjects were divided into two groups (i.e., wild-types and carriers) and statistical analyses of PK parameters were performed by unpaired t-tests. Results In the carrier group (n=64), 53 subjects were single-carriers and 11 double-carriers (i.e., *2/*2, *2/*3, *2/*5, *3/*5, and *3/*8). The mean peak concentration (Cmax) was higher for wild-type (0.36±0.12 vs. 0.32±0.14 mg/L). Likewise, the average clearance (CL) parameter was faster among non-carriers (0.22±0.03 vs. 0.17±0.05 L/h; p=0.0001), with also lower area under the curve (AUC) when compared to carriers (20.43±6.97 vs. 24.78±11.26 h mg/L; p=0.025). Statistical analysis revealed a significant difference between groups with regard to AUC and CL, but not for Cmax. This can be explained by the variation of k e across different genotypes. Conclusions The results provided useful information for warfarin dosing predictions that take into consideration important individual PK and genotyping data.

摘要

目的 华法林剂量的个体间差异与基因多态性有关。本研究旨在进行基因型驱动的药代动力学(PK)模拟,以预测波多黎各人的华法林水平。方法 使用WinNonlin®v6.4通过单室模型对每个个体数据集进行分析。根据细胞色素P450 2C9(CYP2C9)基因型,华法林的消除速率常数(ke)范围为0.0189至0.0075 h-1。吸收速率常数(Ka)和分布容积(Vd)参数取自文献。将128名受试者的数据分为两组(即野生型和携带者),并通过非配对t检验对PK参数进行统计分析。结果 在携带者组(n = 64)中,53名受试者为单携带者,11名受试者为双携带者(即*2/*2、*2/*3、*2/*5、*3/5和3/*8)。野生型的平均峰浓度(Cmax)更高(0.36±0.12 vs. 0.32±0.14 mg/L)。同样,非携带者的平均清除率(CL)参数更快(0.22±0.03 vs. 0.17±0.05 L/h;p = 0.0001),与携带者相比,曲线下面积(AUC)也更低(20.43±6.97 vs. 24.78±11.26 h mg/L;p = 0.025)。统计分析显示,两组在AUC和CL方面存在显著差异,但Cmax无显著差异。这可以通过不同基因型的ke变化来解释。结论 这些结果为考虑重要个体PK和基因分型数据的华法林剂量预测提供了有用信息。

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