Abstract: To explore the genes, biological processes and metabolic pathways of miRNA in HSP by analyzing the differential expression of miRNA in bioinformatics Henoch-Schönlein purpura (HSP). The original data set GSE80401 was analyzed by GEO database screening, and miRNA differentially expressed was screened out. miRNA target genes were predicted by miRwalk, TargetScan, miRDB database. Gene ontology and pathway enrichment analysis were performed based on Metascape database, and Cytoscape was used to screen key targets. Finally, the key targets were mapped with Coremine Medical database to screen the potential Chinese herbal medicines for HSP. Based on the GSE sample data, 83 target genes were predicted. The key gene was hsa-miR-3945, enrichment analysis revealed biological processes such as response to lipopolysaccharide, response to inorganic substances, apoptotic signaling pathways, and response to extracellular stimuli, KEGG enrichment showed IL-17 signal pathway, TNF signal pathway, Th17 cell differentiation pathway etc. It is predicted that Guizhi, Fuling, Chishao, Taoren and Mudanpi can be used as potential drugs to treat HSP. The analysis of significant differentially expressed genes and potential core targets promotes the further understanding and exploration of the pathogenesis of HSP, and provides a new direction and clinical basis for Traditional Chinese Medicine treatment of HSP.
Key words: Henoch-Schönlein purpura; bioinformatics; differential miRNA gene; hsa-miR-3945; traditional Chinese medicine forecast
（Acta Laser Biology Sinica, 2022, 31(2): 165-172）