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Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.
Najjar, Abdulkarim; Punt, Ans; Wambaugh, John; Paini, Alicia; Ellison, Corie; Fragki, Styliani; Bianchi, Enrica; Zhang, Fagen; Westerhout, Joost; Mueller, Dennis; Li, Hequn; Shi, Quan; Gant, Timothy W; Botham, Phil; Bars, Rémi; Piersma, Aldert; van Ravenzwaay, Ben; Kramer, Nynke I.
Afiliação
  • Najjar A; Beiersdorf AG, Hamburg, Germany.
  • Punt A; Wageningen Food Safety Research, Wageningen, The Netherlands.
  • Wambaugh J; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
  • Paini A; esqLABS GmbH, Saterland, Germany.
  • Ellison C; The Procter and Gamble Company, Cincinnati, OH, USA.
  • Fragki S; National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Bianchi E; Corteva Agriscience, Indianapolis, IN, USA.
  • Zhang F; The Dow Chemical Company, Midland, MI, USA.
  • Westerhout J; The Netherlands Organisation for Applied Scientific Research TNO, Utrecht, The Netherlands.
  • Mueller D; Research and Development, Crop Science, Bayer AG, Monheim, Germany.
  • Li H; Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, UK.
  • Shi Q; Shell Global Solutions International B.V, The Hague, The Netherlands.
  • Gant TW; School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
  • Botham P; Syngenta, Jealott's Hill, Bracknell, Berkshire, UK.
  • Bars R; Crop Science Division, Bayer S.A.S., Sophia Antipolis, France.
  • Piersma A; National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • van Ravenzwaay B; Environmental Sciences Consulting, Altrip, Germany.
  • Kramer NI; Toxicology Division, Wageningen University, PO Box 8000, 6700 EA, Wageningen, The Netherlands. nynke.kramer@wur.nl.
Arch Toxicol ; 96(12): 3407-3419, 2022 12.
Article em En | MEDLINE | ID: mdl-36063173
ABSTRACT
With an increasing need to incorporate new approach methodologies (NAMs) in chemical risk assessment and the concomitant need to phase out animal testing, the interpretation of in vitro assay readouts for quantitative hazard characterisation becomes more important. Physiologically based kinetic (PBK) models, which simulate the fate of chemicals in tissues of the body, play an essential role in extrapolating in vitro effect concentrations to in vivo bioequivalent exposures. As PBK-based testing approaches evolve, it will become essential to standardise PBK modelling approaches towards a consensus approach that can be used in quantitative in vitro-to-in vivo extrapolation (QIVIVE) studies for regulatory chemical risk assessment based on in vitro assays. Based on results of an ECETOC expert workshop, steps are recommended that can improve regulatory adoption (1) define context and implementation, taking into consideration model complexity for building fit-for-purpose PBK models, (2) harmonise physiological input parameters and their distribution and define criteria for quality chemical-specific parameters, especially in the absence of in vivo data, (3) apply Good Modelling Practices (GMP) to achieve transparency and design a stepwise approach for PBK model development for risk assessors, (4) evaluate model predictions using alternatives to in vivo PK data including read-across approaches, (5) use case studies to facilitate discussions between modellers and regulators of chemical risk assessment. Proof-of-concepts of generic PBK modelling approaches are published in the scientific literature at an increasing rate. Working on the previously proposed steps is, therefore, needed to gain confidence in PBK modelling approaches for regulatory use.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Biológicos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Biológicos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article