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Influence of the Cytochrome P450 2B6 Genotype on Population Pharmacokinetics of Efavirenz in Human Immunodeficiency Virus Patients▿

机译:细胞色素P450 2B6基因型对依法韦仑在人类免疫缺陷病毒患者体内的药代动力学的影响▿

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摘要

A population pharmacokinetic model for efavirenz has been developed from therapeutic drug monitoring data in human immunodeficiency virus (HIV)-positive patients by using a nonlinear mixed-effect model. The efavirenz plasma concentrations (n = 375) of 131 patients were analyzed using high-performance liquid chromatography with UV detection. Pharmacokinetic parameters were estimated according to a one-compartment model. The effects of sex, age, total body weight, height, body mass index, and HIV treatment were analyzed. In a subgroup of 32 patients, genetic polymorphisms of the cytochrome P450 2B6 gene (CYP2B6), CYP3A4, and MDR1 were also investigated. Efavirenz oral clearance and the apparent volume of distribution were 9.50 liters/h and 311 liters, respectively. The model included only the effect of CYP2B6 polymorphisms on efavirenz clearance; this covariate reduced the intersubject variability of clearance by about 27%. Patients showing G/T and T/T CYP2B6 polymorphisms exhibited efavirenz clearances that were about 50% and 75% lower than those observed in the patients without these polymorphisms (G/G). Accordingly, to obtain EFV steady-state concentrations within the therapeutic range (1 to 4 mg/liter), it would be advisable to implement a gradual reduction in dose to 400 or 200 mg/day for patients that are intermediate or poor metabolizers, respectively. However, the remaining interindividual variability observed in the pharmacokinetic parameters of the model highlights the need for dose individualization to avoid inadequate exposure to efavirenz and suggests that these recommended doses be used with caution and confirmed by therapeutic drug monitoring and clinical efficacy. The population model can be implemented in pharmacokinetic clinical software for dosage optimization by using the Bayesian approach.
机译:依非韦伦的人群药代动力学模型已经通过使用非线性混合效应模型从人类免疫缺陷病毒(HIV)阳性患者的治疗药物监测数据中开发出来。使用高效液相色谱和紫外检测对131例患者的依非韦伦血浆浓度(n = 375)进行了分析。根据一室模型估计药代动力学参数。分析了性别,年龄,总体重,身高,体重指数和HIV治疗的影响。在32名患者的亚组中,还研究了细胞色素P450 2B6基因(CYP2B6),CYP3A4和MDR1的遗传多态性。 Efavirenz的口腔清除率和表观分布量分别为9.50升/小时和311升。该模型仅包括CYP2B6多态性对依非韦伦清除率的影响。该协变量将受试者间的清除率差异降低了约27%。显示G / T和T / T CYP2B6多态性的患者显示依非韦伦清除率比没有这些多态性(G / G)的患者低约50%和75%。因此,为了获得治疗范围(1至4 mg / L)内的EFV稳态浓度,建议分别将中度或弱代谢者的剂量逐步降低至400或200 mg /天。 。但是,在模型的药代动力学参数中观察到的其余个体差异表明,需要进行剂量个体化,以避免暴露于依非韦伦不足,并建议谨慎使用这些推荐剂量,并通过治疗药物监测和临床疗效予以证实。可以使用贝叶斯方法在药物动力学临床软件中实现种群模型,以进行剂量优化。

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