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pmid:32309355
The implementation of drug reposition for alcoholic hepatitis based on a sub-pathway integration strategy.
Wei Qi · Bing Wang · Ming Yang · Lin Zhu · Sen Hu · Hui Sun
Annals of translational medicine · 2020 doi:10.21037/atm.2020.01.36
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Experiment
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Complete file
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However, the development of these novel therapies is limited due to incomplete information about the molecular mechanisms involved in AH.\nMETHODS: The microarray data (GSE28619) was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method. Metabolic sub-pathways were identified using the SubpathwayMiner R package. Cell Counting Kit-8 (CCK-8) was used to evaluate the cell viability of AML-12 cells treated with different concentrations of ethanol or riboflavin. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were employed to show the hepatocyte function.\nRESULTS: A total of 1,041 genes were determined to be expressed differentially. We then identified 11 metabolic sub-pathways that could be involved in the development of AH. This was followed by a final integrated analysis of the sub-pathways involved in AH as well as the sub-pathways involved in the drug-affected cases. The final integration results led to the identification of 64 small molecular drugs. A potential novel drug (riboflavin) involved in the fatty acid metabolism pathway was identified for further investigation. Riboflavin at the 60 nM for 24 h could reverse ethanol-induced AML-12 cell injury and could markedly decrease ALT and AST activity. The decrease in the activities of these two enzymes was observed in a dose-dependent manner when it was compared to ethanol alone, which suggests that riboflavin has a protective effect against liver cell injury caused by alcoholism.\nCONCLUSIONS: To summarize, the candidate agents which are identified in the present study might give practitioners insight into the development of novel therapeutic approaches for AH.", "claims": [{"id": "claim-method", "statement": "The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32309355", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). 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