Identification Of Hub Genes And Potential Mechanisms That Linked Hyperbaric Oxygen Therapy To Traumatic Brain Injury Using Bioinformatics Analysis

Objective:Traumatic brain injury is one of the leading causes of disability in non-elderly people worldwide,and hyperbaric oxygen therapy plays a major role in targeting traumatic brain injury clinically,but the mechanism of action has so far been unclear.In this study,key genes associated with hyperbaric oxygen therapy for traumatic injury and their underlying molecular mechanisms were analyzed by bioinformatics methods.Methods:The two m RNA chip gene datasets GSE11375 and GSE69063 were downloaded from the Public Gene Chip Data Platform(GEO),and the R language "limma" function package was used to screen the differential expression genes(DEGs)between the normal group and the trauma group,and then combined with the hyperbaric oxygen gene set to finally screen out the candidate gene set for further analysis.In the R language "cluster Profiler" function package to perform signal pathway enrichment analysis of differentially expressed genes,mainly including gene ontology(GO)and Kyoto Gene and Genome Encyclopedia(KEGG),and functional annotation of differential genes through the database(Metascape).Subsequently,the candidate genes with differential expression were further over-representation analysis(ORA),gene set enrichment analysis(GSEA),and network topology-based analysis(ORA)through the web-based gene set analysis toolkit(Web Gestalt).Analysis,NTA).The STRING database was further used to construct a protein interaction network,and cytoscape was used to visualize the co-expression relationship of genes in the module and screen key genes.Three key genes(IL10,MMP9,and PECAM1)associated with hyperbaric oxygen therapy and traumatic brain injury were identified.Analyze patient data using Ciber Sort for Pearson-related analysis of gene expression and immune cell content levels.These three HUB genes are significantly associated with infiltrating immune cells and have the ability to predict brain trauma.In addition,we identified transcription factors of these three HUB genes using the cistrome DB online database and found that they have rich immune function.Importantly,ROC analysis confirmed that the expression levels of three key genes,IL10,PECAM1 and MMP9,are closely related to the onset and progression of trauma.Results: we comprehensively analyzed the RNA sequencing data from public databases and identified three hub genes influenced by hyperbaric oxygen therapy in patients with TBI.Moreover,these three genes were found to be significantly associated with infiltrating immune cells and have predictive ability for TBI.Furthermore,the TFs of the three hub genes were identified and found to be enriched with immune functions.Importantly,ROC analysis confirmed that the expression levels of three key genes,IL10,PECAM1 and MMP9,are closely related to the onset and progression of trauma.Conclusions: Bioinformatics analysis effectively analyzes RNA sequencing data from public databases and identifies three key genes as well as potentially relevant immune cells and biological processes associated with hyperbaric oxygen therapy and TBI.These findings provide new evidence for further research on hyperbaric oxygen therapy and TBI.