A Novel Multispecies Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment
| Autor: | Annika Mangold-Döring, Chelsea Grimard, Derek Green, Lynn P. Weber, Stephanie Petersen, John W. Nichols, Natacha S. Hogan, Henner Hollert, Markus Brinkmann, Markus Hecker |
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| Rok vydání: | 2021 |
| Předmět: |
Empirical data
Aquatic Ecology and Water Quality Management Canada PBTK model Cross species extrapolation physiologically based toxicokinetic model Model parameters Bioconcentration 010501 environmental sciences 01 natural sciences Models Biological Risk Assessment Article Environmental Chemistry Animals 14. Life underwater Chemical risk 0105 earth and related environmental sciences WIMEK Fishes database development General Chemistry Aquatische Ecologie en Waterkwaliteitsbeheer Toxicokinetics bioaccumulation Bioaccumulation Environmental science Biochemical engineering cross-species extrapolation |
| Zdroj: | Environ Sci Technol Environmental Science and Technology, 55(13), 9109-9118 Environmental Science and Technology 55 (2021) 13 |
| ISSN: | 1520-5851 0013-936X |
| Popis: | Standardized laboratory tests with a limited number of model species are a key component of chemical risk assessments. These surrogate species cannot represent the entire diversity of native species, but there are practical and ethical objections against testing chemicals in a large variety of species. In previous research, we have developed a multispecies toxicokinetic model to extrapolate chemical bioconcentration across species by combining single-species physiologically based toxicokinetic (PBTK) models. This "top-down" approach was limited, however, by the availability of fully parameterized single-species models. Here, we present a "bottom-up" multispecies PBTK model based on available data from 69 freshwater fishes found in Canada. Monte Carlo-like simulations were performed using statistical distributions of model parameters derived from these data to predict steady-state bioconcentration factors (BCFs) for a set of well-studied chemicals. The distributions of predicted BCFs for 1,4-dichlorobenzene and dichlorodiphenyltrichloroethane largely overlapped those of empirical data, although a tendency existed toward overestimation of measured values. When expressed as means, predicted BCFs for 26 of 34 chemicals (82%) deviated by less than 10-fold from measured data, indicating an accuracy similar to that of previously published single-species models. This new model potentially enables more environmentally relevant predictions of bioconcentration in support of chemical risk assessments. |
| Databáze: | OpenAIRE |
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