Bioinformatics analysis of differentially expressed genes in alcoholic hepatitis based on GEO gene dataset
Objective To search for target genes and gene regulatory networks that regulate alcoholic hepatitis by using database mining,and explore new directions for the treatment of alcoholic hepatitis and provide new ideas for reducing disease burden.Methods Retrieve the GEO database to obtain the alcoholic hepatitis related expression data-sets GSE143318 and GSE167308,screen for differentially expressed genes(DEGs)that were common to both datasets,and validate them using the GSE28619 gene chip.Using bioinformatics methods,analyze DEGs and study the non-coding RNAs that regulate DEGs.Results A total of 261 DEGs were screened from the two data sets.GO function analysis mainly focused on 7 biological processes,including steroid metabolism,inflammatory reaction and lipid metabolism,6 cell components of cell membrane and extracellular matrix,and 11 molecular functions,including heparin binding,growth factors,protease inhibitors,metalloproteinases and oxidoreductase.KEGG showed that these DEGs were mainly enriched in steroid hormone biosynthesis,retinol metabolism,cytochrome P450 metabolism,extracellular matrix recep-tor interaction,cholesterol metabolism and PPAR signaling pathway.By using different algorithms and GSE28619 chip validation in the PPI network,a total of 6 core differential genes were screened,namely SPP1,THBS2,CYP1A1,EPCAM,CXCL8 and KRT19.MiR-466 exhibited a close correlation with DEGs.Conclusion DEGs in alcoholic hepa-titis are related to the occurrence and development of diseases,and the methods of bioinformatics technology provide new ideas for deeper research on the pathogenesis and treatment targets of alcoholic hepatitis.
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