Zhang Zufei, Imperial Marjorie Z, Patilea-Vrana Gabriela I, Wedagedera Janak, Gaohua Lu, Unadkat Jashvant D
Department of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.).
Department of Pharmaceutics, University of Washington, Seattle, Washington (Z.Z., M.Z.I., G.I.P.-V, J.D.U.); and Simcyp Limited (a Certara company), Sheffield, United Kingdom (J.W., L.G.)
Drug Metab Dispos. 2017 Aug;45(8):920-938. doi: 10.1124/dmd.117.075192. Epub 2017 Jun 6.
Determining fetal drug exposure (except at the time of birth) is not possible for both logistical and ethical reasons. Therefore, we developed a novel maternal-fetal physiologically based pharmacokinetic (m-f-PBPK) model to predict fetal exposure to drugs and populated this model with gestational age-dependent changes in maternal-fetal physiology. Then, we used this m-f-PBPK to: 1) perform a series of sensitivity analyses to quantitatively demonstrate the impact of fetoplacental metabolism and placental transport on fetal drug exposure for various drug-dosing regimens administered to the mother; 2) predict the impact of gestational age on fetal drug exposure; and 3) demonstrate that a single umbilical venous (UV)/maternal plasma (MP) ratio (even after multiple-dose oral administration to steady state) does not necessarily reflect fetal drug exposure. In addition, we verified the implementation of this m-f-PBPK model by comparing the predicted UV/MP and fetal/MP AUC ratios with those predicted at steady state after an intravenous infusion. Our simulations yielded novel insights into the quantitative contribution of fetoplacental metabolism and/or placental transport on gestational age-dependent fetal drug exposure. Through sensitivity analyses, we demonstrated that the UV/MP ratio does not measure the extent of fetal drug exposure unless obtained at steady state after an intravenous infusion or when there is little or no fluctuation in MP drug concentrations after multiple-dose oral administration. The proposed m-f-PBPK model can be used to predict fetal exposure to drugs across gestational ages and therefore provide the necessary information to assess the risk of drug toxicity to the fetus.
出于后勤和伦理方面的原因,无法确定胎儿的药物暴露情况(出生时除外)。因此,我们开发了一种新型的基于母婴生理的药代动力学(m-f-PBPK)模型,以预测胎儿的药物暴露情况,并根据母婴生理随孕周的变化来填充该模型。然后,我们使用这个m-f-PBPK模型来:1)进行一系列敏感性分析,以定量证明胎盘-胎儿代谢和胎盘转运对母亲接受各种给药方案时胎儿药物暴露的影响;2)预测孕周对胎儿药物暴露的影响;3)证明单一的脐静脉(UV)/母体血浆(MP)比率(即使在多次口服给药至稳态后)不一定反映胎儿的药物暴露情况。此外,我们通过将预测的UV/MP和胎儿/MP AUC比率与静脉输注后稳态时预测的比率进行比较,验证了这个m-f-PBPK模型的实施情况。我们的模拟为胎盘-胎儿代谢和/或胎盘转运对孕周依赖性胎儿药物暴露的定量贡献提供了新的见解。通过敏感性分析,我们证明,除非在静脉输注后达到稳态时获得,或者在多次口服给药后MP药物浓度几乎没有波动时,UV/MP比率并不能衡量胎儿药物暴露的程度。所提出的m-f-PBPK模型可用于预测不同孕周胎儿的药物暴露情况,从而提供评估药物对胎儿毒性风险所需的信息。