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Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro-In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment.
Xie, Ruili; Xu, Yiping; Ma, Mei; Wang, Zijian.
Afiliación
  • Xie R; Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Xu Y; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Ma M; Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Wang Z; Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Environ Sci Technol ; 58(8): 3677-3689, 2024 Feb 27.
Article en En | MEDLINE | ID: mdl-38354091
ABSTRACT
High-throughput in vitro assays combined with in vitro-in vivo extrapolation (IVIVE) leverage in vitro responses to predict the corresponding in vivo exposures and thresholds of concern. The integrated approach is also expected to offer the potential for efficient tools to provide estimates of chemical toxicity to various wildlife species instead of animal testing. However, developing fish physiologically based toxicokinetic (PBTK) models for IVIVE in ecological applications is challenging, especially for plausible estimation of an internal effective dose, such as fish equivalent concentration (FEC). Here, a fish PBTK model linked with the IVIVE approach was established, with parameter optimization of chemical unbound fraction, pH-dependent ionization and hepatic clearance, and integration of temperature effect and growth dilution. The fish PBTK-IVIVE approach provides not only a more precise estimation of tissue-specific concentrations but also a reasonable approximation of FEC targeting the estrogenic potency of endocrine-disrupting chemicals. Both predictions were compared with in vivo data and were accurate for most indissociable/dissociable chemicals. Furthermore, the model can help determine cross-species variability and sensitivity among the five fish species. Using the available IVIVE-derived FEC with target pathways is helpful to develop predicted no-effect concentration for chemicals with similar mode of action and support screening-level ecological risk assessment.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Disruptores Endocrinos / Modelos Biológicos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Environ Sci Technol Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Disruptores Endocrinos / Modelos Biológicos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Environ Sci Technol Año: 2024 Tipo del documento: Article País de afiliación: China