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- W2890768717 abstract "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 (2h, 8h, 24h) and three doses (low, medium, high), we identified genes and pathways, defined as molecular initiating events (MIE) and key events (KE) 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." @default.
- W2890768717 created "2018-09-27" @default.
- W2890768717 creator A5000680884 @default.
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- W2890768717 date "2018-09-18" @default.
- W2890768717 modified "2023-10-01" @default.
- W2890768717 title "Analysis of Time-Series Gene Expression Data to Explore Mechanisms of Chemical-Induced Hepatic Steatosis Toxicity" @default.
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- W2890768717 doi "https://doi.org/10.3389/fgene.2018.00396" @default.
- W2890768717 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6153316" @default.
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