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基于生理学的药代动力学模型预测恩曲他滨和阿昔洛韦在母体中的药代动力学和胎儿暴露情况。

Physiologically Based Pharmacokinetic Models to Predict Maternal Pharmacokinetics and Fetal Exposure to Emtricitabine and Acyclovir.

机构信息

Children's National Medical Center, Washington, DC, USA.

University of California, San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla, California, USA.

出版信息

J Clin Pharmacol. 2020 Feb;60(2):240-255. doi: 10.1002/jcph.1515. Epub 2019 Sep 6.

Abstract

Pregnancy is associated with physiological changes that may impact drug pharmacokinetics (PK). The goals of this study were to build maternal-fetal physiologically based pharmacokinetic (PBPK) models for acyclovir and emtricitabine, 2 anti(retro)viral drugs with active renal net secretion, and to (1) evaluate the predicted maternal PK at different stages of pregnancy; (2) predict the changes in PK target parameters following the current dosing regimen of these drugs throughout pregnancy; (3) evaluate the predicted concentrations of these drugs in the umbilical vein at delivery; (4) compare the model performance for predicting maternal PK of emtricitabine in the third trimester with that of previously published PBPK models; and (5) compare different previously published approaches for estimating the placental permeability of these 2 drugs. Results showed that the pregnancy PBPK model for acyclovir predicted all maternal concentrations within a 2-fold error range, whereas the model for emtricitabine predicted 79% of the maternal concentrations values within that range. Extrapolation of these models to earlier stages of pregnancy indicated that the change in the median PK target parameters remained well above the target threshold. Concentrations of acyclovir and emtricitabine in the umbilical vein were overall adequately predicted. The comparison of different emtricitabine PBPK models suggested an overall similar predictive performance in the third trimester, but the comparison of different approaches for estimating placental drug permeability revealed large differences. These models can enhance the understanding of the PK behavior of renally excreted drugs, which may ultimately inform pharmacotherapeutic decision making in pregnant women and their fetuses.

摘要

妊娠与可能影响药物药代动力学(PK)的生理变化有关。本研究的目的是为具有主动肾净分泌作用的抗病毒药物阿昔洛韦和恩曲他滨建立母体-胎儿生理药代动力学(PBPK)模型,(1)评估不同妊娠阶段母体 PK 的预测值;(2)预测在整个怀孕期间,根据这些药物的现行剂量方案,PK 目标参数的变化;(3)评估这些药物在分娩时在脐静脉中的预测浓度;(4)比较预测第三孕期恩曲他滨母体 PK 的模型性能与之前发表的 PBPK 模型;(5)比较 2 种药物胎盘通透性的不同已发表方法。结果表明,阿昔洛韦的妊娠 PBPK 模型预测了所有母体内浓度在 2 倍误差范围内,而恩曲他滨的模型预测了 79%的母体内浓度值在该范围内。将这些模型外推到妊娠早期,表明中值 PK 目标参数的变化仍然远高于目标阈值。脐静脉中阿昔洛韦和恩曲他滨的浓度总体上得到了很好的预测。不同恩曲他滨 PBPK 模型的比较表明,在第三孕期的预测性能总体相似,但用于估计胎盘药物通透性的不同方法的比较显示出很大的差异。这些模型可以增强对肾排泄药物 PK 行为的理解,这最终可能为孕妇及其胎儿的药物治疗决策提供信息。

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