Abstract

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.

Highlights

  • Reviewed by: Marc Codaccioni, Agence Nationale de Sécurité du Médicament et des Produits de Santé (ANSM), France Blessy George, United States Food and Drug Administration, United States

  • This review focuses on the current status of the application of physiologically based PK (PBPK) modeling to predict maternal and fetal exposure of drugs and thereby guide drug therapy during pregnancy

  • Sharma et al developed a PBPK model for predicting the fetal exposure of bisphenol A which was evaluated against the observed Bisphenol A (BPA) concentrations in cord blood, fetus liver and amniotic fluid following exposure from maternal blood [76]

Read more

Summary

Introduction

Reviewed by: Marc Codaccioni, Agence Nationale de Sécurité du Médicament et des Produits de Santé (ANSM), France Blessy George, United States Food and Drug Administration, United States. Biesdorf et al established a PBPK model to predict drug exposure during pregnancy using the Simcyp inbuilt pregnancy population which includes gestational age-related changes in blood flow, glomerular filtration rate, plasma protein binding etc. Decreased plasma Dose for both drugs needs to be Open Systems concentrations throughout increased in the second and pregnancy third trimesters.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call