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Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues
BACKGROUND: The developmental toxicity potential (dTP) concentration from the devTOX quickPredict (devTOX( qP )) assay, a metabolomics‐based human induced pluripotent stem cell assay, predicts a chemical's developmental toxicity potency. Here, in vitro to in vivo extrapolation (IVIVE) approache...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790683/ https://www.ncbi.nlm.nih.gov/pubmed/35532929 http://dx.doi.org/10.1002/bdr2.2019 |
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author | Chang, Xiaoqing Palmer, Jessica Lumen, Annie Lee, Un Jung Ceger, Patricia Mansouri, Kamel Sprankle, Catherine Donley, Elizabeth Bell, Shannon Knudsen, Thomas B. Wambaugh, John Cook, Bethany Allen, David Kleinstreuer, Nicole |
author_facet | Chang, Xiaoqing Palmer, Jessica Lumen, Annie Lee, Un Jung Ceger, Patricia Mansouri, Kamel Sprankle, Catherine Donley, Elizabeth Bell, Shannon Knudsen, Thomas B. Wambaugh, John Cook, Bethany Allen, David Kleinstreuer, Nicole |
author_sort | Chang, Xiaoqing |
collection | PubMed |
description | BACKGROUND: The developmental toxicity potential (dTP) concentration from the devTOX quickPredict (devTOX( qP )) assay, a metabolomics‐based human induced pluripotent stem cell assay, predicts a chemical's developmental toxicity potency. Here, in vitro to in vivo extrapolation (IVIVE) approaches were applied to address whether the devTOX( qP ) assay could quantitatively predict in vivo developmental toxicity lowest effect levels (LELs) for the prototypical teratogen valproic acid (VPA) and a group of structural analogues. METHODS: VPA and a series of structural analogues were tested with the devTOX( qP ) assay to determine dTP concentration and we estimated the equivalent administered doses (EADs) that would lead to plasma concentrations equivalent to the in vitro dTP concentrations. The EADs were compared to the LELs in rat developmental toxicity studies, human clinical doses, and EADs reported using other in vitro assays. To evaluate the impact of different pharmacokinetic (PK) models on IVIVE outcomes, we compared EADs predicted using various open‐source and commercially available PK and physiologically based PK (PBPK) models. To evaluate the effect of in vitro kinetics, an equilibrium distribution model was applied to translate dTP concentrations to free medium concentrations before subsequent IVIVE analyses. RESULTS: The EAD estimates for the VPA analogues based on different PK/PBPK models were quantitatively similar to in vivo data from both rats and humans, where available, and the derived rank order of the chemicals was consistent with observed in vivo developmental toxicity. Different models were identified that provided accurate predictions for rat prenatal LELs and conservative estimates of human safe exposure. The impact of in vitro kinetics on EAD estimates is chemical‐dependent. EADs from this study were within range of predicted doses from other in vitro and model organism data. CONCLUSIONS: This study highlights the importance of pharmacokinetic considerations when using in vitro assays and demonstrates the utility of the devTOX( qP ) human stem cell‐based platform to quantitatively assess a chemical's developmental toxicity potency. |
format | Online Article Text |
id | pubmed-9790683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97906832022-12-28 Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues Chang, Xiaoqing Palmer, Jessica Lumen, Annie Lee, Un Jung Ceger, Patricia Mansouri, Kamel Sprankle, Catherine Donley, Elizabeth Bell, Shannon Knudsen, Thomas B. Wambaugh, John Cook, Bethany Allen, David Kleinstreuer, Nicole Birth Defects Res Research Articles BACKGROUND: The developmental toxicity potential (dTP) concentration from the devTOX quickPredict (devTOX( qP )) assay, a metabolomics‐based human induced pluripotent stem cell assay, predicts a chemical's developmental toxicity potency. Here, in vitro to in vivo extrapolation (IVIVE) approaches were applied to address whether the devTOX( qP ) assay could quantitatively predict in vivo developmental toxicity lowest effect levels (LELs) for the prototypical teratogen valproic acid (VPA) and a group of structural analogues. METHODS: VPA and a series of structural analogues were tested with the devTOX( qP ) assay to determine dTP concentration and we estimated the equivalent administered doses (EADs) that would lead to plasma concentrations equivalent to the in vitro dTP concentrations. The EADs were compared to the LELs in rat developmental toxicity studies, human clinical doses, and EADs reported using other in vitro assays. To evaluate the impact of different pharmacokinetic (PK) models on IVIVE outcomes, we compared EADs predicted using various open‐source and commercially available PK and physiologically based PK (PBPK) models. To evaluate the effect of in vitro kinetics, an equilibrium distribution model was applied to translate dTP concentrations to free medium concentrations before subsequent IVIVE analyses. RESULTS: The EAD estimates for the VPA analogues based on different PK/PBPK models were quantitatively similar to in vivo data from both rats and humans, where available, and the derived rank order of the chemicals was consistent with observed in vivo developmental toxicity. Different models were identified that provided accurate predictions for rat prenatal LELs and conservative estimates of human safe exposure. The impact of in vitro kinetics on EAD estimates is chemical‐dependent. EADs from this study were within range of predicted doses from other in vitro and model organism data. CONCLUSIONS: This study highlights the importance of pharmacokinetic considerations when using in vitro assays and demonstrates the utility of the devTOX( qP ) human stem cell‐based platform to quantitatively assess a chemical's developmental toxicity potency. John Wiley & Sons, Inc. 2022-05-09 2022-10-01 /pmc/articles/PMC9790683/ /pubmed/35532929 http://dx.doi.org/10.1002/bdr2.2019 Text en Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Birth Defects Research published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Chang, Xiaoqing Palmer, Jessica Lumen, Annie Lee, Un Jung Ceger, Patricia Mansouri, Kamel Sprankle, Catherine Donley, Elizabeth Bell, Shannon Knudsen, Thomas B. Wambaugh, John Cook, Bethany Allen, David Kleinstreuer, Nicole Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
title | Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
title_full | Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
title_fullStr | Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
title_full_unstemmed | Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
title_short | Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
title_sort | quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790683/ https://www.ncbi.nlm.nih.gov/pubmed/35532929 http://dx.doi.org/10.1002/bdr2.2019 |
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