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PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus

The purpose of this study was to develop a physiologically based pharmacokinetic (PBPK) model predicting the pharmacokinetics (PK) of different compounds in pregnant subjects. This model considers the differences in tissue sizes, blood flow rates, enzyme expression levels, glomerular filtration rate...

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Autores principales: Szeto, Ke Xu, Le Merdy, Maxime, Dupont, Benjamin, Bolger, Michael B., Lukacova, Viera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225528/
https://www.ncbi.nlm.nih.gov/pubmed/34169370
http://dx.doi.org/10.1208/s12248-021-00603-y
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author Szeto, Ke Xu
Le Merdy, Maxime
Dupont, Benjamin
Bolger, Michael B.
Lukacova, Viera
author_facet Szeto, Ke Xu
Le Merdy, Maxime
Dupont, Benjamin
Bolger, Michael B.
Lukacova, Viera
author_sort Szeto, Ke Xu
collection PubMed
description The purpose of this study was to develop a physiologically based pharmacokinetic (PBPK) model predicting the pharmacokinetics (PK) of different compounds in pregnant subjects. This model considers the differences in tissue sizes, blood flow rates, enzyme expression levels, glomerular filtration rates, plasma protein binding, and other factors affected during pregnancy in both the maternal and fetal models. The PBPKPlus™ module in GastroPlus(®) was used to model the PK of cefuroxime and cefazolin. For both compounds, the model was first validated against PK data in healthy non-pregnant volunteers and then applied to predict pregnant groups PK. The model accurately described the PK in both non-pregnant and pregnant groups and explained well differences in the plasma concentration due to pregnancy. The fetal plasma and amniotic fluid concentrations were also predicted reasonably well at different stages of pregnancy. This work describes the use of a PBPK approach for drug development and demonstrates the ability to predict differences in PK in pregnant subjects and fetal exposure for compounds excreted renally. The prediction for pregnant groups is also improved when the model is calibrated with postpartum or non-pregnant female group if such data are available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1208/s12248-021-00603-y.
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spelling pubmed-82255282021-07-09 PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus Szeto, Ke Xu Le Merdy, Maxime Dupont, Benjamin Bolger, Michael B. Lukacova, Viera AAPS J Research Article The purpose of this study was to develop a physiologically based pharmacokinetic (PBPK) model predicting the pharmacokinetics (PK) of different compounds in pregnant subjects. This model considers the differences in tissue sizes, blood flow rates, enzyme expression levels, glomerular filtration rates, plasma protein binding, and other factors affected during pregnancy in both the maternal and fetal models. The PBPKPlus™ module in GastroPlus(®) was used to model the PK of cefuroxime and cefazolin. For both compounds, the model was first validated against PK data in healthy non-pregnant volunteers and then applied to predict pregnant groups PK. The model accurately described the PK in both non-pregnant and pregnant groups and explained well differences in the plasma concentration due to pregnancy. The fetal plasma and amniotic fluid concentrations were also predicted reasonably well at different stages of pregnancy. This work describes the use of a PBPK approach for drug development and demonstrates the ability to predict differences in PK in pregnant subjects and fetal exposure for compounds excreted renally. The prediction for pregnant groups is also improved when the model is calibrated with postpartum or non-pregnant female group if such data are available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1208/s12248-021-00603-y. Springer International Publishing 2021-06-24 /pmc/articles/PMC8225528/ /pubmed/34169370 http://dx.doi.org/10.1208/s12248-021-00603-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Szeto, Ke Xu
Le Merdy, Maxime
Dupont, Benjamin
Bolger, Michael B.
Lukacova, Viera
PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus
title PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus
title_full PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus
title_fullStr PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus
title_full_unstemmed PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus
title_short PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus
title_sort pbpk modeling approach to predict the behavior of drugs cleared by kidney in pregnant subjects and fetus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225528/
https://www.ncbi.nlm.nih.gov/pubmed/34169370
http://dx.doi.org/10.1208/s12248-021-00603-y
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