关键词: 基因表达综合数据库, 系统性红斑狼疮, 差异表达基因, 关键基因

Abstract:

Objective： To explore potential biomarkers for the diagnosis of systemic lupus erythematosus （SLE） by analyzing gene expression data from peripheral blood mononuclear cells （PBMCs） of SLE patients in the Gene Expression Omnibus （GEO） database.Methods： DNA microarray data of SLE patients and the healthy control group were downloaded from the GEO database， and differentially expressed genes （DEGs） were identified. Gene Ontology （GO） enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the DAVID database. The protein-protein interaction （PPI） network for the DEGs was constructed based on the STRING database， and the results were visualized using the MCODE plugin in Cytoscape. Key genes （hub genes） were further identified using the CytoHubba plugin.Results： A total of 230 common DEGs， including 62 upregulated genes and 168 downregulated genes， were identified from the data sets of SLE patients and the healthy control group across two platforms. GO enrichment analysis revealed that the DEGs were primarily associated with immune response. In terms of cellular components' integration in the extracellular space. In terms of molecular functions， the DEGs were mainly involved in antigen and receptor binding. KEGG pathway analysis showed that the DEGs were implicated in transcriptional regulation， cell cycle， and other signaling pathways. Ten key genes were selected， including RRM2， UBE2C， KIFC1， HJURP， CDCA5， CENPA， CDC45， CDC25C， CDC25A， and ORC1.Conclusion： The 10 key genes identified through bioinformatics analysis play a role in the development of SLE and are primarily involved in cell cycle-related signaling pathways. These genes may serve as potential targets for assisting in the diagnosis of SLE and provide new directions for future research and treatment strategies.

Key words: Gene expression omnibus； , Systemic lupus erythematosus； , Differentially expressed gene； , Key gene