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新型基于生理的母婴药代动力学模型的建立II:被动胎盘通透性药物模型的验证

Development of a Novel Maternal-Fetal Physiologically Based Pharmacokinetic Model II: Verification of the model for passive placental permeability drugs.

作者信息

Zhang Zufei, Unadkat Jashvant D

机构信息

Department of Pharmaceutics, University of Washington, Seattle, Washington.

Department of Pharmaceutics, University of Washington, Seattle, Washington

出版信息

Drug Metab Dispos. 2017 Aug;45(8):939-946. doi: 10.1124/dmd.116.073957. Epub 2017 Jan 3.

Abstract

Fetal exposure to drugs cannot be readily estimated from single time point cord blood sampling at the time of delivery. Therefore, we developed a physiologically based pharmacokinetic (PBPK) model to estimate fetal drug exposure throughout pregnancy. In this study, we report verification of this novel maternal-fetal PBPK (m-f-PBPK) model for drugs that passively diffuse across the placenta and are not metabolized/transported there. Our recently built m-f-PBPK model was populated with gestational age-dependent changes in maternal drug disposition and maternal-fetal physiology. Using midazolam as an in vivo calibrator, the transplacental passive diffusion clearance of theophylline and zidovudine was first estimated. Then, for verification, the predicted maternal plasma (MP) and umbilical venous (UV) plasma drug concentrations by our m-f-PBPK were compared against those observed at term. Overall, our m-f-PBPK model well predicted the maternal and fetal exposure to the two verification drugs, theophylline and zidovudine, at term, across a range of dosing regimens, with nearly all observed MP and UV plasma drug concentrations falling within the 90% prediction interval [i.e., 5th-95th percentile range of a virtual pregnant population ( = 100)]. Prediction precision and bias of theophylline MP and UV were 14.5% and 12.4%, and 9.4% and 7.5%, respectively. Furthermore, for zidovudine, after the exclusion of one unexpectedly low MP concentration, prediction precision and bias for MP and UV were 50.3% and 30.2, and 28.3% and 15.0%, respectively. This m-f-PBPK should be useful to predict fetal exposure to drugs, throughout pregnancy, for drugs that passively diffuse across the placenta.

摘要

胎儿在分娩时通过单次脐血采样无法轻易估算药物暴露情况。因此,我们开发了一种基于生理学的药代动力学(PBPK)模型,以估算整个孕期胎儿的药物暴露情况。在本研究中,我们报告了这种新型母胎PBPK(m-f-PBPK)模型对于被动扩散穿过胎盘且不在胎盘处代谢/转运的药物的验证情况。我们最近构建的m-f-PBPK模型纳入了母体药物处置和母胎生理学随孕周的变化。使用咪达唑仑作为体内校准物,首先估算了茶碱和齐多夫定的经胎盘被动扩散清除率。然后,为了进行验证,将我们的m-f-PBPK模型预测的母体血浆(MP)和脐静脉(UV)血浆药物浓度与足月时观察到的浓度进行了比较。总体而言,我们的m-f-PBPK模型在足月时对两种验证药物(茶碱和齐多夫定)在一系列给药方案下的母体和胎儿暴露情况预测良好,几乎所有观察到的MP和UV血浆药物浓度都落在90%预测区间内[即虚拟妊娠人群(=100)的第5至95百分位数范围]。茶碱MP和UV的预测精度和偏差分别为14.5%和12.4%,以及9.4%和7.5%。此外,对于齐多夫定,在排除一个意外低的MP浓度后,MP和UV的预测精度和偏差分别为50.3%和30.2,以及28.3%和15.0%。这种m-f-PBPK模型对于预测整个孕期胎儿对被动扩散穿过胎盘的药物的暴露情况应该是有用的。

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