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

Authors :
Tebby C
van der Voet H
de Sousa G
Rorije E
Kumar V
de Boer W
Kruisselbrink JW
Bois FY
Faniband M
Moretto A
Brochot C
Source :
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association [Food Chem Toxicol] 2020 Aug; Vol. 142, pp. 111440. Date of Electronic Publication: 2020 May 27.
Publication Year :
2020

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.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1873-6351
Volume :
142
Database :
MEDLINE
Journal :
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Publication Type :
Academic Journal
Accession number :
32473292
Full Text :
https://doi.org/10.1016/j.fct.2020.111440