| Multiple sclerosis is a chronic inflammatory and degenerative disease of the central nervous system.In recent years,the prevalence of multiple sclerosis has been on the rise in Chinese population,and it mainly occurs in young patients.The progression of disease can lead to severe neurological impairment,and the efficacy of therapy at this stage is unsatisfactory,which seriously affects the quality of life for patients.Multiple sclerosis is closely related to environmental and genetic factors,but the underlying mechanisms has not been fully elucidated In this study,a total of 90 pathological specimens from 2 data sets which were retrieved from Gene Expression Omnibus(GEO)database were analyzed.With bioinformatics methods,biological information including genes,immune cells and pathways of multiple sclerosis were further explored-Here,882 differentially expression genes were obtained,and the protein-protein interaction network of the genes was built.Ten core genes related to multiple sclerosis were excavated by Cytoscape Cytohubba plug-in,clusters of subgene sets were obtained with Cytoscape MCODE plug-in.Functional enrichment of differential expression genes and core genes suggests that multiple immune pathways play a key role in multiple sclerosis.106 differential immune genes were found,and CIBERSORTX algorithm was used to mine the characteristics of immune infiltration in multiple sclerosis brain tissues at the cellular level.A variety of immune cells were found to be involved in the pathogenesis of multiple sclerosis.Correlation analysis between core genes and infiltrating immune cells suggested that the top 5 core genes may play a role in activating certain immune cells.Overall,the genetic basis of multiple sclerosis and the mechanism of immune infiltration were deeply explored,which may to a certain extent guide the pathological research of the disease and the discovery of novel targets. |