Background: The objective of this study was to identify key idiopathic pulmonary fibrosis (IPF) related genes, thereby establishing a novel IPF diagnostic/warning panel and proposing drugs against IPF based on the strategy of targeting key genes.
Methods: The GEO datasets GSE245965, GSE279637, and GSE235435 were used to select IPF-related genes, as well as the IPF associated genes from the GeneCards and DisGeNET databases. The DEGs were used for enrichment analysis, PPI network construction, and targeted therapeutic value analysis.
Results: An intersection analysis yielded 60 commonly up-regulated genes and 16 commonly down-regulated genes. GO/KEGG/Reactome/Immunologic Signature terms that were novel and interesting were found to be enriched. In the interaction network, WDR90 and ANKRD1 were identified as hub genes. Among the 60 common up-regulated genes, seven (namely SERPINB3, TUBB3, SERPINB4, CHTF18, BAX, WDR90 and ITGAX) were shared by the disease sets. In the Symmap database, we found some herbs with the most targets, such as Lygodii Spora, Smilacis Glabrae Rhizoma, and Aloe.
Conclusions: A panel comprising seven key IPF genes was identified, which may have diagnostic and prognostic value for IPF. A comprehensive analysis of the Dgidb database revealed potential drugs that may be antitumor agents against IPF, such as Lygodii Spora, Smilacis Glabrae Rhizoma, and Aloe.
Keywords: IPF; Idiopathic pulmonary fibrosis; bioinformatics; enrichment analysis; pneumonia.
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