Literature DB >> 32473292

A generic PBTK model implemented in the MCRA platform: Predictive performance and uses in risk assessment of chemicals.

Cleo Tebby1, Hilko van der Voet2, Georges de Sousa3, Emiel Rorije4, Vikas Kumar5, Waldo de Boer2, Johannes W Kruiselbrink2, Frédéric Y Bois6, Moosa Faniband7, Angelo Moretto8, Céline Brochot6.   

Abstract

Physiologically-based toxicokinetic (PBTK) models are important tools for in vitro to in vivo or inter-species extrapolations in health risk assessment of foodborne and non-foodborne chemicals. Here we present a generic PBTK model implemented in the EuroMix toolbox, MCRA 9 and predict internal kinetics of nine chemicals (three endocrine disrupters, three liver steatosis inducers, and three developmental toxicants), in data-rich and data-poor conditions, when increasingly complex levels of parametrization are applied. At the first stage, only QSAR models were used to determine substance-specific parameters, then some parameter values were refined by estimates from substance-specific or high-throughput in vitro experiments. At the last stage, elimination or absorption parameters were calibrated based on available in vivo kinetic data. The results illustrate that parametrization plays a capital role in the output of the PBTK model, as it can change how chemicals are prioritized based on internal concentration factors. In data-poor situations, estimates can be far from observed values. In many cases of chronic exposure, the PBTK model can be summarized by an external to internal dose factor, and interspecies concentration factors can be used to perform interspecies extrapolation. We finally discuss the implementation and use of the model in the MCRA risk assessment platform.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Mixtures; Physiologically-based ToxicoKinetic (PBTK) model; Probabilistic model; Risk assessment

Year:  2020        PMID: 32473292     DOI: 10.1016/j.fct.2020.111440

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  2 in total

1.  PBPK Modeling to Simulate the Fate of Compounds in Living Organisms.

Authors:  Frédéric Y Bois; Cleo Tebby; Céline Brochot
Journal:  Methods Mol Biol       Date:  2022

2.  SimRFlow: An R-based workflow for automated high-throughput PBPK simulation with the Simcyp® simulator.

Authors:  Hiba Khalidi; Anthonia Onasanwo; Barira Islam; Heeseung Jo; Ciarán Fisher; Rich Aidley; Iain Gardner; Frederic Y Bois
Journal:  Front Pharmacol       Date:  2022-08-25       Impact factor: 5.988

  2 in total

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