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Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation
Regulatory toxicology testing has traditionally relied on in vivo methods to inform decision-making. However, scientific, practical, and ethical considerations have led to an increased interest in the use of in vitro and in silico methods to fill data gaps. While in vitro experiments have the advant...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043603/ https://www.ncbi.nlm.nih.gov/pubmed/35496281 http://dx.doi.org/10.3389/fphar.2022.864742 |
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author | Hines, David E. Bell, Shannon Chang, Xiaoqing Mansouri, Kamel Allen, David Kleinstreuer, Nicole |
author_facet | Hines, David E. Bell, Shannon Chang, Xiaoqing Mansouri, Kamel Allen, David Kleinstreuer, Nicole |
author_sort | Hines, David E. |
collection | PubMed |
description | Regulatory toxicology testing has traditionally relied on in vivo methods to inform decision-making. However, scientific, practical, and ethical considerations have led to an increased interest in the use of in vitro and in silico methods to fill data gaps. While in vitro experiments have the advantage of rapid application across large chemical sets, interpretation of data coming from these non-animal methods can be challenging due to the mechanistic nature of many assays. In vitro to in vivo extrapolation (IVIVE) has emerged as a computational tool to help facilitate this task. Specifically, IVIVE uses physiologically based pharmacokinetic (PBPK) models to estimate tissue-level chemical concentrations based on various dosing parameters. This approach is used to estimate the administered dose needed to achieve in vitro bioactivity concentrations within the body. IVIVE results can be useful to inform on metrics such as margin of exposure or to prioritize potential chemicals of concern, but the PBPK models used in this approach have extensive data requirements. Thus, access to input parameters, as well as the technical requirements of applying and interpreting models, has limited the use of IVIVE as a routine part of in vitro testing. As interest in using non-animal methods for regulatory and research contexts continues to grow, our perspective is that access to computational support tools for PBPK modeling and IVIVE will be essential for facilitating broader application and acceptance of these techniques, as well as for encouraging the most scientifically sound interpretation of in vitro results. We highlight recent developments in two open-access computational support tools for PBPK modeling and IVIVE accessible via the Integrated Chemical Environment (https://ice.ntp.niehs.nih.gov/), demonstrate the types of insights these tools can provide, and discuss how these analyses may inform in vitro-based decision making. |
format | Online Article Text |
id | pubmed-9043603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90436032022-04-28 Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation Hines, David E. Bell, Shannon Chang, Xiaoqing Mansouri, Kamel Allen, David Kleinstreuer, Nicole Front Pharmacol Pharmacology Regulatory toxicology testing has traditionally relied on in vivo methods to inform decision-making. However, scientific, practical, and ethical considerations have led to an increased interest in the use of in vitro and in silico methods to fill data gaps. While in vitro experiments have the advantage of rapid application across large chemical sets, interpretation of data coming from these non-animal methods can be challenging due to the mechanistic nature of many assays. In vitro to in vivo extrapolation (IVIVE) has emerged as a computational tool to help facilitate this task. Specifically, IVIVE uses physiologically based pharmacokinetic (PBPK) models to estimate tissue-level chemical concentrations based on various dosing parameters. This approach is used to estimate the administered dose needed to achieve in vitro bioactivity concentrations within the body. IVIVE results can be useful to inform on metrics such as margin of exposure or to prioritize potential chemicals of concern, but the PBPK models used in this approach have extensive data requirements. Thus, access to input parameters, as well as the technical requirements of applying and interpreting models, has limited the use of IVIVE as a routine part of in vitro testing. As interest in using non-animal methods for regulatory and research contexts continues to grow, our perspective is that access to computational support tools for PBPK modeling and IVIVE will be essential for facilitating broader application and acceptance of these techniques, as well as for encouraging the most scientifically sound interpretation of in vitro results. We highlight recent developments in two open-access computational support tools for PBPK modeling and IVIVE accessible via the Integrated Chemical Environment (https://ice.ntp.niehs.nih.gov/), demonstrate the types of insights these tools can provide, and discuss how these analyses may inform in vitro-based decision making. Frontiers Media S.A. 2022-04-13 /pmc/articles/PMC9043603/ /pubmed/35496281 http://dx.doi.org/10.3389/fphar.2022.864742 Text en Copyright © 2022 Hines, Bell, Chang, Mansouri, Allen and Kleinstreuer. 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 Hines, David E. Bell, Shannon Chang, Xiaoqing Mansouri, Kamel Allen, David Kleinstreuer, Nicole Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation |
title | Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation |
title_full | Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation |
title_fullStr | Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation |
title_full_unstemmed | Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation |
title_short | Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation |
title_sort | application of an accessible interface for pharmacokinetic modeling and in vitro to in vivo extrapolation |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043603/ https://www.ncbi.nlm.nih.gov/pubmed/35496281 http://dx.doi.org/10.3389/fphar.2022.864742 |
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