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Publié le 30 mars 2022 | Mis à jour le 30 mars 2022
Accumulation-depuration data collection in support of toxicokinetic modelling
Scientific Data
Abstract
"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.."
(Ratier, A., Charles, S. Accumulation-depuration data collection in support of toxicokinetic modelling. Sci Data 9, 130 (2022). https://doi.org/10.1038/s41597-022-01248-y)
- SourcesRatier, A., Charles, S. Accumulation-depuration data collection in support of toxicokinetic modelling. Sci Data 9, 130 (2022). https://doi.org/10.1038/s41597-022-01248-y
- Auteur(s)
Affiliations
Université de Lyon, Université Lyon 1, CNRS UMR5558, Laboratoire de Biométrie et Biologie Evolutive, 69100, Villeurbanne, France
Aude Ratier & Sandrine CharlesContributions
A.R. and S.C. participated to the collection of datasets, analysed the results in MOSAICbioacc and elaborated the database. All authors reviewed the manuscript and agreed on its content.