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Accumulation-depuration data collection in support of toxicokinetic modelling
Regulatory bodies require bioaccumulation evaluation of chemicals within organisms to better assess toxic risks. Toxicokinetic (TK) data are particularly useful in relating the chemical exposure to the accumulation and depuration processes happening within organisms. TK models are used to predict in...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967850/ https://www.ncbi.nlm.nih.gov/pubmed/35354827 http://dx.doi.org/10.1038/s41597-022-01248-y |
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author | Ratier, Aude Charles, Sandrine |
author_facet | Ratier, Aude Charles, Sandrine |
author_sort | Ratier, Aude |
collection | PubMed |
description | Regulatory bodies require bioaccumulation evaluation of chemicals within organisms to better assess toxic risks. Toxicokinetic (TK) data are particularly useful in relating the chemical exposure to the accumulation and depuration processes happening within organisms. TK models are used to predict internal concentrations when experimental data are lacking or difficult to access, such as within target tissues. The bioaccumulative property of chemicals is quantified by metrics calculated from TK model parameters after fitting to data collected via bioaccumulation tests. In bioaccumulation tests, internal concentrations of chemicals are measured within organisms at regular time points during accumulation and depuration phases. The time course is captured by TK model parameters thus providing bioaccumulation metrics. But raw TK data remain difficult to access, most often provided within papers as plots. To increase availability of TK data, we developed an innovative database from data extracted in the scientific literature to support TK modelling. Freely available, our database can dynamically evolve thanks to any researcher interested in sharing data to be findable, accessible, interoperable and reusable. |
format | Online Article Text |
id | pubmed-8967850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89678502022-04-20 Accumulation-depuration data collection in support of toxicokinetic modelling Ratier, Aude Charles, Sandrine Sci Data Data Descriptor Regulatory bodies require bioaccumulation evaluation of chemicals within organisms to better assess toxic risks. Toxicokinetic (TK) data are particularly useful in relating the chemical exposure to the accumulation and depuration processes happening within organisms. TK models are used to predict internal concentrations when experimental data are lacking or difficult to access, such as within target tissues. The bioaccumulative property of chemicals is quantified by metrics calculated from TK model parameters after fitting to data collected via bioaccumulation tests. In bioaccumulation tests, internal concentrations of chemicals are measured within organisms at regular time points during accumulation and depuration phases. The time course is captured by TK model parameters thus providing bioaccumulation metrics. But raw TK data remain difficult to access, most often provided within papers as plots. To increase availability of TK data, we developed an innovative database from data extracted in the scientific literature to support TK modelling. Freely available, our database can dynamically evolve thanks to any researcher interested in sharing data to be findable, accessible, interoperable and reusable. Nature Publishing Group UK 2022-03-30 /pmc/articles/PMC8967850/ /pubmed/35354827 http://dx.doi.org/10.1038/s41597-022-01248-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Ratier, Aude Charles, Sandrine Accumulation-depuration data collection in support of toxicokinetic modelling |
title | Accumulation-depuration data collection in support of toxicokinetic modelling |
title_full | Accumulation-depuration data collection in support of toxicokinetic modelling |
title_fullStr | Accumulation-depuration data collection in support of toxicokinetic modelling |
title_full_unstemmed | Accumulation-depuration data collection in support of toxicokinetic modelling |
title_short | Accumulation-depuration data collection in support of toxicokinetic modelling |
title_sort | accumulation-depuration data collection in support of toxicokinetic modelling |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967850/ https://www.ncbi.nlm.nih.gov/pubmed/35354827 http://dx.doi.org/10.1038/s41597-022-01248-y |
work_keys_str_mv | AT ratieraude accumulationdepurationdatacollectioninsupportoftoxicokineticmodelling AT charlessandrine accumulationdepurationdatacollectioninsupportoftoxicokineticmodelling |