Screening of Sepsis Biomarkers Based on Bioinformatics Data
10.13241/j.cnki.pmb.2025.13.004
- VernacularTitle:基于生物信息学数据筛选脓毒症生物标志物
- Author:
Meng-xia YANG
1
;
Jun-hao LIU
;
Teng-fei CHEN
;
Xiao-long XU
;
Qing-quan LIU
Author Information
1. 首都医科大学附属北京中医医院 北京 100010;北京市中医药研究所 北京 100010;北京中医药大学研究生院 北京 100029
- Publication Type:Journal Article
- Keywords:
Sepsis;
Differentially expressed genes;
Hub genes;
Disease biomarkers;
Bioinformatics
- From:
Progress in Modern Biomedicine
2025;25(13):2110-2117,2137
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.
