Chaphekar Nupur, Dodeja Prerna, Shaik Imam H, Caritis Steve, Venkataramanan Raman
Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States.
Department of Obstetrics, Gynecology and Reproductive Sciences, Magee Women's Hospital of UPMC, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Front Pediatr. 2021 Nov 3;9:733823. doi: 10.3389/fped.2021.733823. eCollection 2021.
Pregnancy and the postpartum period are associated with several physiological changes that can alter the pharmacokinetics (PK) and pharmacodynamics (PD) of drugs. For certain drugs, dosing changes may be required during pregnancy and postpartum to achieve drug exposures comparable to what is observed in non-pregnant subjects. There is very limited data on fetal exposure of drugs during pregnancy, and neonatal exposure through transfer of drugs via human milk during breastfeeding. Very few systematic clinical pharmacology studies have been conducted in pregnant and postpartum women due to ethical issues, concern for the fetus safety as well as potential legal ramifications. Over the past several years, there has been an increase in the application of modeling and simulation approaches such as population PK (PopPK) and physiologically based PK (PBPK) modeling to provide guidance on drug dosing in those special patient populations. Population PK models rely on measured PK data, whereas physiologically based PK models incorporate physiological, preclinical, and clinical data into the model to predict drug exposure during pregnancy. These modeling strategies offer a promising approach to identify the drugs with PK changes during pregnancy to guide dose optimization in pregnancy, when there is lack of clinical data. PBPK modeling is also utilized to predict the fetal exposure of drugs and drug transfer via human milk following maternal exposure. This review focuses on the current status of the application of PBPK modeling to predict maternal and fetal exposure of drugs and thereby guide drug therapy during pregnancy.
怀孕和产后时期与多种生理变化相关,这些变化会改变药物的药代动力学(PK)和药效动力学(PD)。对于某些药物,孕期和产后可能需要调整剂量,以达到与非孕期受试者相当的药物暴露水平。关于孕期药物对胎儿的暴露情况,以及母乳喂养期间药物通过母乳转移对新生儿的暴露情况,数据非常有限。由于伦理问题、对胎儿安全的担忧以及潜在的法律后果,针对孕妇和产后妇女开展的系统临床药理学研究极少。在过去几年中,群体药代动力学(PopPK)和基于生理的药代动力学(PBPK)建模等建模与模拟方法的应用有所增加,以指导这些特殊患者群体的药物剂量调整。群体药代动力学模型依赖于实测的药代动力学数据,而基于生理的药代动力学模型则将生理、临床前和临床数据纳入模型,以预测孕期的药物暴露情况。当缺乏临床数据时,这些建模策略为识别孕期药代动力学发生变化的药物以指导孕期剂量优化提供了一种有前景的方法。PBPK建模还用于预测母体暴露后药物对胎儿的暴露情况以及药物通过母乳的转移情况。本综述重点关注PBPK建模在预测孕期药物对母体和胎儿的暴露从而指导孕期药物治疗方面的应用现状。