| Literature DB >> 32473292 |
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.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