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Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals

Time courses of compound concentrations in plasma are used in chemical safety analysis to evaluate the relationship between external administered doses and internal tissue exposures. This type of experimental data is rarely available for the thousands of non-pharmaceutical chemicals to which people...

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Autores principales: Sayre, Risa R., Wambaugh, John F., Grulke, Christopher M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170868/
https://www.ncbi.nlm.nih.gov/pubmed/32313097
http://dx.doi.org/10.1038/s41597-020-0455-1
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author Sayre, Risa R.
Wambaugh, John F.
Grulke, Christopher M.
author_facet Sayre, Risa R.
Wambaugh, John F.
Grulke, Christopher M.
author_sort Sayre, Risa R.
collection PubMed
description Time courses of compound concentrations in plasma are used in chemical safety analysis to evaluate the relationship between external administered doses and internal tissue exposures. This type of experimental data is rarely available for the thousands of non-pharmaceutical chemicals to which people may potentially be unknowingly exposed but is necessary to properly assess the risk of such exposures. In vitro assays and in silico models are often used to craft an understanding of a chemical’s pharmacokinetics; however, the certainty of the quantitative application of these estimates for chemical safety evaluations cannot be determined without in vivo data for external validation. To address this need, we present a public database of chemical time-series concentration data from 567 studies in humans or test animals for 144 environmentally-relevant chemicals and their metabolites (187 analytes total). All major administration routes are incorporated, with concentrations measured in blood/plasma, tissues, and excreta. We also include calculated pharmacokinetic parameters for some studies, and a bibliography of additional source documents to support future extraction of time-series. In addition to pharmacokinetic model calibration and validation, these data may be used for analyses of differential chemical distribution across chemicals, species, doses, or routes, and for meta-analyses on pharmacokinetic studies.
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spelling pubmed-71708682020-04-24 Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals Sayre, Risa R. Wambaugh, John F. Grulke, Christopher M. Sci Data Data Descriptor Time courses of compound concentrations in plasma are used in chemical safety analysis to evaluate the relationship between external administered doses and internal tissue exposures. This type of experimental data is rarely available for the thousands of non-pharmaceutical chemicals to which people may potentially be unknowingly exposed but is necessary to properly assess the risk of such exposures. In vitro assays and in silico models are often used to craft an understanding of a chemical’s pharmacokinetics; however, the certainty of the quantitative application of these estimates for chemical safety evaluations cannot be determined without in vivo data for external validation. To address this need, we present a public database of chemical time-series concentration data from 567 studies in humans or test animals for 144 environmentally-relevant chemicals and their metabolites (187 analytes total). All major administration routes are incorporated, with concentrations measured in blood/plasma, tissues, and excreta. We also include calculated pharmacokinetic parameters for some studies, and a bibliography of additional source documents to support future extraction of time-series. In addition to pharmacokinetic model calibration and validation, these data may be used for analyses of differential chemical distribution across chemicals, species, doses, or routes, and for meta-analyses on pharmacokinetic studies. Nature Publishing Group UK 2020-04-20 /pmc/articles/PMC7170868/ /pubmed/32313097 http://dx.doi.org/10.1038/s41597-020-0455-1 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Sayre, Risa R.
Wambaugh, John F.
Grulke, Christopher M.
Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
title Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
title_full Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
title_fullStr Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
title_full_unstemmed Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
title_short Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
title_sort database of pharmacokinetic time-series data and parameters for 144 environmental chemicals
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170868/
https://www.ncbi.nlm.nih.gov/pubmed/32313097
http://dx.doi.org/10.1038/s41597-020-0455-1
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