1. From in vitro to in vivo: Integration of the virtual cell based assay with physiologically based kinetic modelling
- Author
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Alicia Paini, J.G.M. Bessems, Andrew Worth, and Jose Vicente Sala Benito
- Subjects
0301 basic medicine ,Cell Survival ,Allylbenzene Derivatives ,Computational biology ,Anisoles ,010501 environmental sciences ,Pharmacology ,Toxicology ,Models, Biological ,Risk Assessment ,PBD ,01 natural sciences ,Article ,Cell Line ,VCBA ,Virtual cell ,DNA Adducts ,03 medical and health sciences ,PBK ,In vivo ,KNIME workflow ,DNA adduct ,medicine ,Humans ,Viability assay ,Cell damage ,Chemical risk ,0105 earth and related environmental sciences ,Membrane Potential, Mitochondrial ,Estragole ,Chemistry ,General Medicine ,medicine.disease ,In vitro ,Flavoring Agents ,Metabolic pathway ,030104 developmental biology ,Liver ,Chemical and Drug Induced Liver Injury - Abstract
Physiologically based kinetic (PBK) models and the virtual cell based assay can be linked to form so called physiologically based dynamic (PBD) models. This study illustrates the development and application of a PBK model for prediction of estragole-induced DNA adduct formation and hepatotoxicity in humans. To address the hepatotoxicity, HepaRG cells were used as a surrogate for liver cells, with cell viability being used as the in vitro toxicological endpoint. Information on DNA adduct formation was taken from the literature. Since estragole induced cell damage is not directly caused by the parent compound, but by a reactive metabolite, information on the metabolic pathway was incorporated into the model. In addition, a user-friendly tool was developed by implementing the PBK/D model into a KNIME workflow. This workflow can be used to perform in vitro to in vivo extrapolation and forward as backward dosimetry in support of chemical risk assessment., Graphical abstract Image 1, Highlights • VCBA is coupled with PBK model linking intracellular concentration to external dose. • The integrated model is applied to perform IVIVE of estragole-induced cell damage. • The IVIVE process is automated by means of a KNIME workflow.
- Published
- 2017
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