Bioinformatics Analysis On Immune Infiltration And Gene Markers Of Systemic Lupus Erythematosus Based On GEO Database

Objective: The author aims to find the hub gene related to SLE immunity and determine the appropriate diagnostic gene to provide help for the detection and treatment of the disease.Methods: Select the appropriate database,which should contain the genetic data of SLE patients needed in this study.Finally,the Gene Expression Omnibus(GEO)database was finalized,from which the gene expression data of whole blood samples of SLE patients were downloaded,and the data of healthy people were taken as control.Firstly,we analyzed and identified the differentially expressed genes(DEGs)between SLE and normal population.At the same time,based on the gene expression profiles of different patients,the activation degree of immune related pathways was determined by single sample gene set enrichment analysis(ss GSEA),and the coexpressed gene modules related to immune cells were searched by weighted gene coexpression network analysis(WGCNA).Next,by constructing protein-protein interaction network(PPI)and importing Cytoscape software,the key network is obtained,and the genes of the core module are obtained by mcode.The corresponding gene obtained above is hub gene.After that,this study used the subject operating characteristic curve(ROC)curve to evaluate the hub gene to verify its ability to distinguish SLE from healthy control group,and analyzed the mi RNA and transcription factor regulatory network of hub gene.Results: Through bioinformatics technology,compared with the healthy control group,2996 common differentially expressed genes were found in SLE patients,of which 1639 genes were up-regulated and 1357 genes were down regulated.These differential genes were analyzed by ssgsea to obtain the enrichment fraction of immune related pathways.Next,the samples were selected through WGCNA analysis,and a total of 18 functional modules closely related to the pathogenesis of SLE were obtained.Then,the correlation between the above modules and the enrichment fraction of immune related pathways was analyzed,and the turquoise module with the highest correlation was selected.290 differential genes contained in this module were analyzed by Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG).The results showed that these genes were mainly enriched in coronavirus-covid-19,ribosome and human T cell-leukemia virus 1 infection pathway.Based on the 290 differential genes obtained,the PPI network was established,and 28 key central genes were obtained.The ROC curve showed that 28 hub genes were potential gene markers of SLE.Conclusion: 28 hub genes such as rps7,RPL19,rps17 and RPS19 may play a key role in the progression of SLE.The results of this study can provide a reference for the diagnosis and treatment of SLE in the future,and can also be used as a new gene marker in clinical experiments or drug research.