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Analysis of time-series gene expression data to explore mechanisms of chemical-induced hepatic steatosis toxicity

Résumé : Non-alcoholic fatty liver disease (NAFLD) represents a wide spectrum of disease, ranging from simple fatty liver through steatosis with inflammation and necrosis to cirrhosis. One of the most challenging problems in biomedical research and within the chemical industry is to understand the underlying mechanisms of complex disease, and complex adverse outcome pathways (AOPs). Based on a set of 28 steatotic chemicals with gene expression data measured on primary hepatocytes at three times (2, 8, and 24 h) and three doses (low, medium, and high), we identified genes and pathways, defined as molecular initiating events (MIEs) and key events (KEs) of steatosis using a combination of a time series and pathway analyses. Among the genes deregulated by these compounds, the study highlighted OSBPL9, ALDH7A1, MYADM, SLC51B, PRDX6, GPAT3, TMEM135, DLGDA5, BCO2, APO10LA, TSPAN6, NEURL1B, and DUSP1. Furthermore, pathway analysis indicated deregulation of pathways related to lipid accumulation, such as fat digestion and absorption, linoleic and linolenic acid metabolism, calcium signaling pathway, fatty acid metabolism, peroxisome, retinol metabolism, and steroid metabolic pathways in a time dependent manner. Such transcription profile analysis can help in the understanding of the steatosis evolution over time generated by chemical exposure.
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Submitted on : Wednesday, August 11, 2021 - 3:34:57 PM
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Alejandro Aguayo-Orozco, Frédéric Y. Bois, Soren Brunak, Olivier Taboureau. Analysis of time-series gene expression data to explore mechanisms of chemical-induced hepatic steatosis toxicity. Frontiers in Genetics, 2018, 9, 396. ⟨10.3389/fgene.2018.00396⟩. ⟨ineris-03319034⟩



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