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Towards better prediction of xenobiotic genotoxicity: CometChip technology coupled with a 3D model of HepaRG human liver cells

Abstract : Toxicology is facing a major change in the way toxicity testing is conducted by moving away from animal experimentation towards animal-free methods. To improve the in vitro genotoxicity assessment of chemical and physical compounds, there is an urgent need to accelerate the development of 3D cell models in high-throughput DNA damage detection platforms. Among the alternative methods, hepatic cell lines are a relevant in vitro model for studying the functions of the liver. 3D HepaRG spheroids show improved hepatocyte differentiation, longevity, and functionality compared with 2D HepaRG cultures and are therefore a relevant model for predicting in vivo responses. Recently, the comet assay was developed on 3D HepaRG cells. However, this approach is still low throughput and does not meet the challenge of evaluating the toxicity and risk to humans of tens of thousands of compounds. In this study, we evaluated the performance of the high-throughput in vitro CometChip assay on 2D and 3D HepaRG cells. HepaRG cells were exposed for 48 h to several compounds (methyl methanesulfonate, etoposide, benzo[a]pyrene, cyclophosphamide, 7,12-dimethylbenz[a]anthracene, 2-acetylaminofluorene, and acrylamide) known to have different genotoxic modes of action. The resulting dose responses were quantified using benchmark dose modelling. DNA damage was observed for all compounds except 2-AAF in 2D HepaRG cells and etoposide in 3D HepaRG cells. Results indicate that the platform is capable of reliably identifying genotoxicants in 3D HepaRG cells, and provide further insights regarding specific responses of 2D and 3D models.
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https://hal-anses.archives-ouvertes.fr/anses-03665810
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Submitted on : Thursday, May 12, 2022 - 10:01:49 AM
Last modification on : Friday, May 13, 2022 - 3:33:44 AM

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Audrey Barranger, Ludovic Le Hégarat. Towards better prediction of xenobiotic genotoxicity: CometChip technology coupled with a 3D model of HepaRG human liver cells. Archives of Toxicology, Springer Verlag, 2022, pp.1-9. ⟨10.1007/s00204-022-03292-4⟩. ⟨anses-03665810⟩

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