摘　要：通过生物信息学对过敏性紫癜（HSP）的差异表达miRNA进行分析，探索其调控的基因、生物过程及代谢通路，进而预测治疗HSP的潜在中药组方。运用GEO数据库对原始数据集GSE80401进行差异分析，筛选出差异表达的miRNA，通过miRwalk、TargetScan、miRDB数据库预测靶基因，基于Metascape数据库进行基因本体（GO）和pathway富集分析，利用Cytoscape软件进行关键靶点筛选。最后将关键靶点与Coremine Medical数据库相互映射，筛选治疗HSP的潜在中药组方。基于GSE样本数据预测的靶基因共有83个，关键基因为hsa-miR-3945，GO富集分析结果涉及对脂多糖的反应、对无机物的反应、凋亡信号通路、对细胞外刺激的反应等生物过程，KEGG富集结果涉及IL-17信号通路、TNF信号通路、Th17细胞分化通路、NF-κB信号通路等。中药预测发现桂枝、茯苓、赤芍、桃仁、牡丹皮可作为潜在药物来治疗HSP。显著性差异基因和潜在核心靶点的分析研究促进了对HSP发病机制的进一步理解和探索，为中医药治疗HSP提供了新的方向和临床依据。
关键词：过敏性紫癜；生物信息学；差异miRNA基因；hsa-miR-3945；中药预测
中图分类号：R272                            文献标志码：A                 DOI：10.3969/j.issn.1007-7146.2022.02.010

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）