Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis.

ABSTRACT: Sepsis remains a major global concern and is associated with high mortality and morbidity despite improvements in its management. Markers currently in use have shortcomings such as a lack of specificity and failures in the early detection of sepsis. In this study, we aimed to identify key genes involved in the molecular mechanisms of sepsis and search for potential new biomarkers and treatment targets for sepsis using bioinformatics analyses. Three datasets (GSE95233, GSE57065, and GSE28750) associated with sepsis were downloaded from the public functional genomics data repository Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified using R packages (Affy and limma). Functional enrichment of the DEGs was analyzed with the DAVID database. Protein-protein interactio

SUBMITTER: Gong FC 

PROVIDER: S-EPMC7568774 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature