Multiscale modelling approaches for assessing cosmetic ingredients safety

Frédéric Y. Bois (1) , Juan G. Diaz Ochoa , Monika Gajewska (2) , Simona Kovarich , Klaus Mauch , Alicia Paini (2) , Alexandre R.R. Pery (1) , Jose Vicente Sala Benito (2) , Sophie Teng (1) , Andrew P. Worth (2)

1 INERIS - Institut National de l'Environnement Industriel et des Risques
2 IHCP - JRC Institute for Health and Consumer Protection

The European Union’s ban on animal testing for cosmetic ingredients and products has generated a strong momentum for the development of in silico and in vitro alternative methods. One of the focus of the COSMOS project was ab initio prediction of kinetics and toxic effects through multiscale pharmacokinetic modeling and in vitro data integration. In our experience, mathematical or computer modeling and in vitro experiments are complementary. We present here a summary of the main models and results obtained within the framework of the project on these topics. A first section presents our work at the organelle and cellular level. We then go toward modeling cell levels effects (monitored continuously), multiscale physiologically based pharmacokinetic and effect models, and route to route extrapolation. We follow with a short presentation of the automated KNIME workflows developed for dissemination and easy use of the models. We end with a discussion of two challenges to the field: our limited ability to deal with massive data and complex computations.

Keywords: PBPK MODEL; MULTISCALE MODEL; IN SILICO TOXICITY PREDICTION

Domains: Life Sciences [q-bio]; Toxicology

Frédéric Y. Bois, Juan G. Diaz Ochoa, Monika Gajewska, Simona Kovarich, Klaus Mauch, et al.. Multiscale modelling approaches for assessing cosmetic ingredients safety. Toxicology, 2017, 392, pp.130-139. ⟨10.1016/j.tox.2016.05.026⟩. ⟨ineris-01863940⟩