Exploring the biomarkers and potential therapeutic drugs for sepsis via integrated bioinformatic analysis.

ABSTRACT:

Background

Sepsis is a life-threatening condition caused by an excessive inflammatory response to an infection, associated with high mortality. However, the regulatory mechanism of sepsis remains unclear.

Results

In this study, bioinformatics analysis revealed the novel key biomarkers associated with sepsis and potential regulators. Three public datasets (GSE28750, GSE57065 and GSE95233) were employed to recognize the differentially expressed genes (DEGs). Taking the intersection of DEGs from these three datasets, GO and KEGG pathway enrichment analysis revealed 537 shared DEGs and their biological functions and pathways. These genes were mainly enriched in T cell activation, differentiation, lymphocyte differentiation, mononuclear cell differentiation, and regulation of T c

SUBMITTER: Liang P 

PROVIDER: S-EPMC10763157 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature