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A Novel Multispecies Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment.
Mangold-Döring, Annika; Grimard, Chelsea; Green, Derek; Petersen, Stephanie; Nichols, John W; Hogan, Natacha; Weber, Lynn; Hollert, Henner; Hecker, Markus; Brinkmann, Markus.
Afiliação
  • Mangold-Döring A; Department for Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology (ABBt), RWTH Aachen University, Aachen 52074, Germany.
  • Grimard C; Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
  • Green D; Department of Aquatic Ecology and Water Quality Management, Wageningen University and Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands.
  • Petersen S; Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
  • Nichols JW; Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
  • Hogan N; Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
  • Weber L; US Environmental Protection Agency, Duluth, Minnesota 55804, United States.
  • Hollert H; Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
  • Hecker M; Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon S7N 5A8, Canada.
  • Brinkmann M; Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
Environ Sci Technol ; 55(13): 9109-9118, 2021 07 06.
Article em En | MEDLINE | ID: mdl-34165962
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixes / Modelos Biológicos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixes / Modelos Biológicos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article