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A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study
The US Environmental Protection Agency Endocrine Disruptor Screening Program (EDSP) is a tiered screening approach to determine the potential for a chemical to interact with estrogen, androgen, or thyroid hormone systems and/or perturb steroidogenesis. Use of high-throughput screening (HTS) to predi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5044773/ https://www.ncbi.nlm.nih.gov/pubmed/27347635 http://dx.doi.org/10.1080/10408444.2016.1193722 |
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author | Paul Friedman, Katie Papineni, Sabitha Marty, M. Sue Yi, Kun Don Goetz, Amber K. Rasoulpour, Reza J. Kwiatkowski, Pat Wolf, Douglas C. Blacker, Ann M. Peffer, Richard C. |
author_facet | Paul Friedman, Katie Papineni, Sabitha Marty, M. Sue Yi, Kun Don Goetz, Amber K. Rasoulpour, Reza J. Kwiatkowski, Pat Wolf, Douglas C. Blacker, Ann M. Peffer, Richard C. |
author_sort | Paul Friedman, Katie |
collection | PubMed |
description | The US Environmental Protection Agency Endocrine Disruptor Screening Program (EDSP) is a tiered screening approach to determine the potential for a chemical to interact with estrogen, androgen, or thyroid hormone systems and/or perturb steroidogenesis. Use of high-throughput screening (HTS) to predict hazard and exposure is shifting the EDSP approach to (1) prioritization of chemicals for further screening; and (2) targeted use of EDSP Tier 1 assays to inform specific data needs. In this work, toxicology data for three triazole fungicides (triadimefon, propiconazole, and myclobutanil) were evaluated, including HTS results, EDSP Tier 1 screening (and other scientifically relevant information), and EPA guideline mammalian toxicology study data. The endocrine-related bioactivity predictions from HTS and information that satisfied the EDSP Tier 1 requirements were qualitatively concordant. Current limitations in the available HTS battery for thyroid and steroidogenesis pathways were mitigated by inclusion of guideline toxicology studies in this analysis. Similar margins (3–5 orders of magnitude) were observed between HTS-predicted human bioactivity and exposure values and between in vivo mammalian bioactivity and EPA chronic human exposure estimates for these products’ registered uses. Combined HTS hazard and human exposure predictions suggest low priority for higher-tiered endocrine testing of these triazoles. Comparison with the mammalian toxicology database indicated that this HTS-based prioritization would have been protective for any potential in vivo effects that form the basis of current risk assessment for these chemicals. This example demonstrates an effective, human health protective roadmap for EDSP evaluation of pesticide active ingredients via prioritization using HTS and guideline toxicology information. |
format | Online Article Text |
id | pubmed-5044773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-50447732016-10-12 A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study Paul Friedman, Katie Papineni, Sabitha Marty, M. Sue Yi, Kun Don Goetz, Amber K. Rasoulpour, Reza J. Kwiatkowski, Pat Wolf, Douglas C. Blacker, Ann M. Peffer, Richard C. Crit Rev Toxicol Review Articles The US Environmental Protection Agency Endocrine Disruptor Screening Program (EDSP) is a tiered screening approach to determine the potential for a chemical to interact with estrogen, androgen, or thyroid hormone systems and/or perturb steroidogenesis. Use of high-throughput screening (HTS) to predict hazard and exposure is shifting the EDSP approach to (1) prioritization of chemicals for further screening; and (2) targeted use of EDSP Tier 1 assays to inform specific data needs. In this work, toxicology data for three triazole fungicides (triadimefon, propiconazole, and myclobutanil) were evaluated, including HTS results, EDSP Tier 1 screening (and other scientifically relevant information), and EPA guideline mammalian toxicology study data. The endocrine-related bioactivity predictions from HTS and information that satisfied the EDSP Tier 1 requirements were qualitatively concordant. Current limitations in the available HTS battery for thyroid and steroidogenesis pathways were mitigated by inclusion of guideline toxicology studies in this analysis. Similar margins (3–5 orders of magnitude) were observed between HTS-predicted human bioactivity and exposure values and between in vivo mammalian bioactivity and EPA chronic human exposure estimates for these products’ registered uses. Combined HTS hazard and human exposure predictions suggest low priority for higher-tiered endocrine testing of these triazoles. Comparison with the mammalian toxicology database indicated that this HTS-based prioritization would have been protective for any potential in vivo effects that form the basis of current risk assessment for these chemicals. This example demonstrates an effective, human health protective roadmap for EDSP evaluation of pesticide active ingredients via prioritization using HTS and guideline toxicology information. Taylor & Francis 2016-10-20 2016-06-27 /pmc/articles/PMC5044773/ /pubmed/27347635 http://dx.doi.org/10.1080/10408444.2016.1193722 Text en © 2016 Bayer CropScience LP, Dow AgroSciences, The Dow Chemical Company, and Syngenta Crop Protection LLC. Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Review Articles Paul Friedman, Katie Papineni, Sabitha Marty, M. Sue Yi, Kun Don Goetz, Amber K. Rasoulpour, Reza J. Kwiatkowski, Pat Wolf, Douglas C. Blacker, Ann M. Peffer, Richard C. A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
title | A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
title_full | A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
title_fullStr | A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
title_full_unstemmed | A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
title_short | A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
title_sort | predictive data-driven framework for endocrine prioritization: a triazole fungicide case study |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5044773/ https://www.ncbi.nlm.nih.gov/pubmed/27347635 http://dx.doi.org/10.1080/10408444.2016.1193722 |
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