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PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol
Introduction: A physiologically based pharmacokinetic (PBPK) model for 3-chloroallyl alcohol (3-CAA) was developed and used to evaluate the design of assays for the in vivo genotoxicity of 3-CAA. Methods: Model development was supported by read across from a published PBPK model for ethanol. Read ac...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992188/ https://www.ncbi.nlm.nih.gov/pubmed/36909196 http://dx.doi.org/10.3389/fphar.2023.1088011 |
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author | Conolly, Rory P. Clewell, Harvey J. Moore, Martha M. Campbell, Jerry L. Cheng, Wanyun Gentry, R. Robinan |
author_facet | Conolly, Rory P. Clewell, Harvey J. Moore, Martha M. Campbell, Jerry L. Cheng, Wanyun Gentry, R. Robinan |
author_sort | Conolly, Rory P. |
collection | PubMed |
description | Introduction: A physiologically based pharmacokinetic (PBPK) model for 3-chloroallyl alcohol (3-CAA) was developed and used to evaluate the design of assays for the in vivo genotoxicity of 3-CAA. Methods: Model development was supported by read across from a published PBPK model for ethanol. Read across was motivated by the expectation that 3-CAA, which like ethanol is a primary alcohol, is metabolized largely by hepatic alcohol dehydrogenases. The PBPK model was used to evaluate how two metrics of tissue dosimetry, maximum blood concentration (Cmax; mg/L) and area under the curve (AUC; mg-hr/L) vary with dose of 3-CAA and with dose route (oral gavage, drinking water). Results: The model predicted that oral gavage results in a 6-fold higher Cmax than the same dose administered in drinking water, but in similar AUCs. Predicted Cmax provided the best correlation with severe toxicity (e.g., lethality) from 3-CAA, consistent with the production of a reactive metabolite. Therefore, drinking water administration can achieve higher sustained concentration without severe toxicity in vivo. Discussion: This evaluation is significant because cytotoxicity is a potential confounder of mutagenicity testing. The PBPK model can be used to ensure that studies meet OECD and USEPA test guidelines and that the highest dose used is not associated with severe toxicity. In addition, PBPK modeling provides assurance of target tissue (e.g., bone marrow) exposure even in the absence of laboratory data, by defining the relationship between applied dose and target tissue dose based on accepted principles of pharmacokinetics, relevant physiology and biochemistry of the dosed animals, and chemical-specific information. |
format | Online Article Text |
id | pubmed-9992188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99921882023-03-09 PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol Conolly, Rory P. Clewell, Harvey J. Moore, Martha M. Campbell, Jerry L. Cheng, Wanyun Gentry, R. Robinan Front Pharmacol Pharmacology Introduction: A physiologically based pharmacokinetic (PBPK) model for 3-chloroallyl alcohol (3-CAA) was developed and used to evaluate the design of assays for the in vivo genotoxicity of 3-CAA. Methods: Model development was supported by read across from a published PBPK model for ethanol. Read across was motivated by the expectation that 3-CAA, which like ethanol is a primary alcohol, is metabolized largely by hepatic alcohol dehydrogenases. The PBPK model was used to evaluate how two metrics of tissue dosimetry, maximum blood concentration (Cmax; mg/L) and area under the curve (AUC; mg-hr/L) vary with dose of 3-CAA and with dose route (oral gavage, drinking water). Results: The model predicted that oral gavage results in a 6-fold higher Cmax than the same dose administered in drinking water, but in similar AUCs. Predicted Cmax provided the best correlation with severe toxicity (e.g., lethality) from 3-CAA, consistent with the production of a reactive metabolite. Therefore, drinking water administration can achieve higher sustained concentration without severe toxicity in vivo. Discussion: This evaluation is significant because cytotoxicity is a potential confounder of mutagenicity testing. The PBPK model can be used to ensure that studies meet OECD and USEPA test guidelines and that the highest dose used is not associated with severe toxicity. In addition, PBPK modeling provides assurance of target tissue (e.g., bone marrow) exposure even in the absence of laboratory data, by defining the relationship between applied dose and target tissue dose based on accepted principles of pharmacokinetics, relevant physiology and biochemistry of the dosed animals, and chemical-specific information. Frontiers Media S.A. 2023-02-22 /pmc/articles/PMC9992188/ /pubmed/36909196 http://dx.doi.org/10.3389/fphar.2023.1088011 Text en Copyright © 2023 Conolly, Clewell, Moore, Campbell, Cheng and Gentry. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Conolly, Rory P. Clewell, Harvey J. Moore, Martha M. Campbell, Jerry L. Cheng, Wanyun Gentry, R. Robinan PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol |
title | PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol |
title_full | PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol |
title_fullStr | PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol |
title_full_unstemmed | PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol |
title_short | PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol |
title_sort | pbpk modeling to evaluate maximum tolerated doses: a case study with 3-chloroallyl alcohol |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992188/ https://www.ncbi.nlm.nih.gov/pubmed/36909196 http://dx.doi.org/10.3389/fphar.2023.1088011 |
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