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基于中国HIV阳性患者个体CYP2B6基因多态性的依非韦伦剂量优化

Dose Optimization of Efavirenz Based on Individual CYP2B6 Polymorphisms in Chinese Patients Positive for HIV.

作者信息

Hui K H, Lee S S, Lam T N

机构信息

School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.

Stanley Ho Centre for Emerging Infectious Diseases, Shatin, New Territories, Hong Kong.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2016 Apr;5(4):182-91. doi: 10.1002/psp4.12067. Epub 2016 Apr 6.

Abstract

The purpose of this study was to investigate the impact of CYP2B6-G516T polymorphisms on the pharmacokinetics (PKs) of efavirenz among the Chinese population and to propose doses for different genotypic populations that optimize therapeutic outcomes. Nonlinear mixed-effect modeling was applied to describe PKs of efavirenz in Chinese patients with human immunodeficiency virus (HIV). Probabilities of successful treatment at different doses were obtained by simulations using the developed model to identify the optimal doses. The model was based on data from 163 individuals. Efavirenz clearance was found to be significantly influenced by CYP2B6-G516T polymorphisms and body weight. The typical values of oral clearance were 10.2 L/h, 7.33 L/h, and 2.38 L/h and simulation results suggested that the optimal daily oral doses are 550 mg, 350 mg, and 100 mg for the GG, GT, and TT populations, respectively. The effect of CYP2B6-G516T polymorphisms on efavirenz clearance was successfully quantified. Pharmacogenetics-based dose individualization of efavirenz may optimize patient outcomes by promoting efficacy while minimizing central nervous system (CNS) side effects.

摘要

本研究的目的是调查CYP2B6 - G516T基因多态性对中国人群中依非韦伦药代动力学(PKs)的影响,并为不同基因型人群提出优化治疗效果的剂量。应用非线性混合效应模型来描述中国人类免疫缺陷病毒(HIV)患者中依非韦伦的PKs。通过使用所建立的模型进行模拟,获得不同剂量下成功治疗的概率,以确定最佳剂量。该模型基于163名个体的数据。发现依非韦伦清除率受CYP2B6 - G516T基因多态性和体重的显著影响。口服清除率的典型值分别为10.2 L/h、7.33 L/h和2.38 L/h,模拟结果表明,GG、GT和TT基因型人群的最佳每日口服剂量分别为550 mg、350 mg和100 mg。成功量化了CYP2B6 - G516T基因多态性对依非韦伦清除率的影响。基于药物遗传学的依非韦伦剂量个体化可能通过提高疗效同时最小化中枢神经系统(CNS)副作用来优化患者治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc70/4846779/d1cdb3157ec0/PSP4-5-182-g001.jpg

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