Identification of potential genes and miRNAs associated with sepsis based on microarray analysis

Area of Science:

• Biomedical research
• Genomics
• Systems biology

Background:

• Sepsis is a life-threatening systemic inflammatory response syndrome triggered by infection.
• Understanding the molecular mechanisms of sepsis pathogenesis is critical for developing effective treatments.

Purpose of the Study:

• To identify key genes and microRNAs (miRNAs) implicated in the pathogenesis of sepsis.
• To construct an integrated regulatory network of differentially expressed genes (DEGs), miRNAs, and transcription factors (TFs) in sepsis.

Main Methods:

• Bioinformatic analysis of the GSE13205 microarray dataset from sepsis patients and healthy controls.
• Identification of DEGs, functional enrichment, protein-protein interaction (PPI) network construction, module identification (MCODE), and integrated DEG-miRNA-TF network analysis.

Main Results:

• 259 upregulated (e.g., MYC, BYSL) and 204 downregulated DEGs were identified in sepsis patients.
• Key genes including NOP14, NOP2, AATF, GTPBP4, BYSL, and TRMT6 were identified in a significant module.
• The integrated network highlighted hsa-miR-150 and 21 TFs, including MYC, as potentially involved in sepsis regulation.

Conclusions:

• NOP14, NOP2, AATF, GTPBP4, BYSL, MYC, MYLK3, and miR-150 are suggested to play roles in sepsis pathogenesis.
• The findings provide insights into the complex molecular landscape of sepsis.