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Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data
Physiologically based kinetic (PBK) modelling-based reverse dosimetry is a promising tool for the prediction of in vivo developmental toxicity using in vitro concentration–response data. In the present study, the potential of this approach to predict the dose-dependent increase of uterus weight in r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866837/ https://www.ncbi.nlm.nih.gov/pubmed/29234833 http://dx.doi.org/10.1007/s00204-017-2140-5 |
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author | Zhang, Mengying van Ravenzwaay, Bennard Fabian, Eric Rietjens, Ivonne M. C. M. Louisse, Jochem |
author_facet | Zhang, Mengying van Ravenzwaay, Bennard Fabian, Eric Rietjens, Ivonne M. C. M. Louisse, Jochem |
author_sort | Zhang, Mengying |
collection | PubMed |
description | Physiologically based kinetic (PBK) modelling-based reverse dosimetry is a promising tool for the prediction of in vivo developmental toxicity using in vitro concentration–response data. In the present study, the potential of this approach to predict the dose-dependent increase of uterus weight in rats upon exposure to estrogenic chemicals was assessed. In vitro concentration–response data of 17β-estradiol (E2) and bisphenol A (BPA) obtained in the MCF-7/BOS proliferation assay, the U2OS ER-CALUX assay and the yeast estrogen screen (YES) assay, were translated into in vivo dose–response data in rat, using a PBK model with a minimum number of in vitro and in silico determined parameter values. To evaluate the predictions made, benchmark dose (BMD) analysis was performed on the predicted dose–response data and the obtained BMDL(10) values were compared with BMDL(10) values derived from data on the effects of E2 and BPA in the uterotrophic assay reported in the literature. The results show that predicted dose–response data of E2 and BPA matched with the data from in vivo studies when predictions were made based on YES assay data. The YES assay-based predictions of the BMDL(10) values differed 3.9-fold (E2) and 4.7- to 13.4-fold (BPA) from the BMDL(10) values obtained from the in vivo data. The present study provides the proof-of-principle that PBK modelling-based reverse dosimetry of YES assay data using a minimum PBK model can predict dose-dependent in vivo uterus growth caused by estrogenic chemicals. In future studies, the approach should be extended to include other estrogens. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00204-017-2140-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5866837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-58668372018-03-27 Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data Zhang, Mengying van Ravenzwaay, Bennard Fabian, Eric Rietjens, Ivonne M. C. M. Louisse, Jochem Arch Toxicol Toxicokinetics and Metabolism Physiologically based kinetic (PBK) modelling-based reverse dosimetry is a promising tool for the prediction of in vivo developmental toxicity using in vitro concentration–response data. In the present study, the potential of this approach to predict the dose-dependent increase of uterus weight in rats upon exposure to estrogenic chemicals was assessed. In vitro concentration–response data of 17β-estradiol (E2) and bisphenol A (BPA) obtained in the MCF-7/BOS proliferation assay, the U2OS ER-CALUX assay and the yeast estrogen screen (YES) assay, were translated into in vivo dose–response data in rat, using a PBK model with a minimum number of in vitro and in silico determined parameter values. To evaluate the predictions made, benchmark dose (BMD) analysis was performed on the predicted dose–response data and the obtained BMDL(10) values were compared with BMDL(10) values derived from data on the effects of E2 and BPA in the uterotrophic assay reported in the literature. The results show that predicted dose–response data of E2 and BPA matched with the data from in vivo studies when predictions were made based on YES assay data. The YES assay-based predictions of the BMDL(10) values differed 3.9-fold (E2) and 4.7- to 13.4-fold (BPA) from the BMDL(10) values obtained from the in vivo data. The present study provides the proof-of-principle that PBK modelling-based reverse dosimetry of YES assay data using a minimum PBK model can predict dose-dependent in vivo uterus growth caused by estrogenic chemicals. In future studies, the approach should be extended to include other estrogens. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00204-017-2140-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-12-12 2018 /pmc/articles/PMC5866837/ /pubmed/29234833 http://dx.doi.org/10.1007/s00204-017-2140-5 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Toxicokinetics and Metabolism Zhang, Mengying van Ravenzwaay, Bennard Fabian, Eric Rietjens, Ivonne M. C. M. Louisse, Jochem Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
title | Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
title_full | Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
title_fullStr | Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
title_full_unstemmed | Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
title_short | Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
title_sort | towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data |
topic | Toxicokinetics and Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866837/ https://www.ncbi.nlm.nih.gov/pubmed/29234833 http://dx.doi.org/10.1007/s00204-017-2140-5 |
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