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Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis
Bile acids (BA) fulfill a wide range of physiological functions, but are also involved in pathologies, such as cholestasis. Cholestasis is characterized by an intrahepatic accumulation of BAs and subsequent spillage to the systemic circulation. The aim of the present study was to develop physiologic...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352636/ https://www.ncbi.nlm.nih.gov/pubmed/35876888 http://dx.doi.org/10.1007/s00204-022-03345-8 |
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author | de Bruijn, Véronique M. P. Rietjens, Ivonne M. C. M. Bouwmeester, Hans |
author_facet | de Bruijn, Véronique M. P. Rietjens, Ivonne M. C. M. Bouwmeester, Hans |
author_sort | de Bruijn, Véronique M. P. |
collection | PubMed |
description | Bile acids (BA) fulfill a wide range of physiological functions, but are also involved in pathologies, such as cholestasis. Cholestasis is characterized by an intrahepatic accumulation of BAs and subsequent spillage to the systemic circulation. The aim of the present study was to develop physiologically based kinetic (PBK) models that would provide a tool to predict dose-dependent BA accumulation in humans upon treatment with a Bile Salt Export Pump (BSEP) inhibitor. We developed a PBK model describing the BA homeostasis using glycochenodeoxycholic acid as an exemplary BA. Population wide distributions of BSEP abundances were incorporated in the PBK model using Markov Chain Monte Carlo simulations, and alternatively the total amount of BAs was scaled empirically to describe interindividual differences in plasma BA levels. Next, the effects of the BSEP inhibitor bosentan on the BA levels were simulated. The PBK model developed adequately predicted the in vivo BA dynamics. Both the Markov Chain Monte Carlo simulations based on a distribution of BSEP abundances and empirical scaling of the total BA pool readily described the variations within and between data in human volunteers. Bosentan treatment disproportionally increased the maximum BA concentration in individuals with a large total BA pool or low BSEP abundance. Especially individuals having a large total BA pool size and a low BSEP abundance were predicted to be at risk for rapid saturation of BSEP and subsequent intrahepatic BA accumulation. This model provides a first estimate of personalized safe therapeutic external dose levels of compounds with BSEP-inhibitory properties. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00204-022-03345-8. |
format | Online Article Text |
id | pubmed-9352636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93526362022-08-06 Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis de Bruijn, Véronique M. P. Rietjens, Ivonne M. C. M. Bouwmeester, Hans Arch Toxicol Toxicokinetics and Metabolism Bile acids (BA) fulfill a wide range of physiological functions, but are also involved in pathologies, such as cholestasis. Cholestasis is characterized by an intrahepatic accumulation of BAs and subsequent spillage to the systemic circulation. The aim of the present study was to develop physiologically based kinetic (PBK) models that would provide a tool to predict dose-dependent BA accumulation in humans upon treatment with a Bile Salt Export Pump (BSEP) inhibitor. We developed a PBK model describing the BA homeostasis using glycochenodeoxycholic acid as an exemplary BA. Population wide distributions of BSEP abundances were incorporated in the PBK model using Markov Chain Monte Carlo simulations, and alternatively the total amount of BAs was scaled empirically to describe interindividual differences in plasma BA levels. Next, the effects of the BSEP inhibitor bosentan on the BA levels were simulated. The PBK model developed adequately predicted the in vivo BA dynamics. Both the Markov Chain Monte Carlo simulations based on a distribution of BSEP abundances and empirical scaling of the total BA pool readily described the variations within and between data in human volunteers. Bosentan treatment disproportionally increased the maximum BA concentration in individuals with a large total BA pool or low BSEP abundance. Especially individuals having a large total BA pool size and a low BSEP abundance were predicted to be at risk for rapid saturation of BSEP and subsequent intrahepatic BA accumulation. This model provides a first estimate of personalized safe therapeutic external dose levels of compounds with BSEP-inhibitory properties. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00204-022-03345-8. Springer Berlin Heidelberg 2022-07-25 2022 /pmc/articles/PMC9352636/ /pubmed/35876888 http://dx.doi.org/10.1007/s00204-022-03345-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Toxicokinetics and Metabolism de Bruijn, Véronique M. P. Rietjens, Ivonne M. C. M. Bouwmeester, Hans Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
title | Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
title_full | Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
title_fullStr | Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
title_full_unstemmed | Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
title_short | Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
title_sort | population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis |
topic | Toxicokinetics and Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352636/ https://www.ncbi.nlm.nih.gov/pubmed/35876888 http://dx.doi.org/10.1007/s00204-022-03345-8 |
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