Physiologically Based Pharmacokinetic Modeling to Determine the Impact of CYP2B6 Genotype on Efavirenz Exposure in Children, Mothers and Breastfeeding Infants

埃法维伦兹 母乳喂养 基于生理学的药代动力学模型 CYP2B6型 药代动力学 加药 医学 母乳 药物遗传学 基因型 母乳喂养 药理学 儿科 生理学 CYP3A4型 生物 内科学 免疫学 人类免疫缺陷病毒(HIV) 细胞色素P450 遗传学 病毒载量 生物化学 新陈代谢 抗逆转录病毒疗法 基因
作者
Xian Pan,Karen Rowland Yeo
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:114 (1): 182-191 被引量:7
标识
DOI:10.1002/cpt.2912
摘要

The antiretroviral drug efavirenz remains widely used in children and mothers during breastfeeding in tuberculosis‐endemic areas. Evaluating the safety of efavirenz during breastfeeding requires an understanding of its pharmacokinetics (PKs) in breast milk, its exposure in the breastfed infant, and the potential influence of polymorphisms in drug disposition genes. The interplay of these factors between the mother and the nursing infant is a complex scenario that can be readily investigated using physiologically‐based PK (PBPK) modeling. A verified PBPK model for efavirenz describing the CYP3A4‐ and CYP2B6‐mediated auto‐induction during multiple dosing was reported previously and was applied in this study to predict the exposure of efavirenz in vulnerable populations, including children (down to the age of 3 months), mothers, and breastfeeding infants, accounting for the various CYP2B6 genotypes. Predicted pharmacokinetic parameters for mothers, breastfeeding infants, and children aged ≥ 3 months were reasonably consistent with observed data, irrespective of CYP2B6 genotype. The clinically significant trend toward higher infant efavirenz exposure from GG/GG to TT/TT composite maternal/infant CYP2B6 genotypes was captured reasonably well by the PBPK model. Thereafter, simulations were performed to determine the adequacy of the current World Health Organization (WHO; ≥ 3 years) and the US Food and Drug Administration (FDA; ≥ 3 months) weight‐based dosing regimens for efavirenz in children according to CYP2B6 genotype. The findings of this study indicate that PBPK models can be used in designing studies in vulnerable populations and providing guidance on optimal doses based on developmental physiology and pharmacogenetics.

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