Single-Cell Multi-Omics Deciphers Core Gene Networks and Immune Interaction Collapse in Sepsis-Associated T Cell...

Area of Science:

• Immunology
• Genomics
• Bioinformatics

Background:

• Sepsis involves immune dysregulation, but T cell dysfunction mechanisms are unclear.
• Understanding T cell dysfunction is crucial for developing sepsis treatments.

Purpose of the Study:

• To identify core genes and signaling pathways involved in sepsis-induced T cell dysfunction.
• To explore potential diagnostic biomarkers and therapeutic targets for sepsis immunotherapy.

Main Methods:

• Integrated multi-omics data from public and prospective cohorts.
• Applied single-cell transcriptomic analysis to identify core genes.
• Constructed cell-cell interaction networks to analyze signaling alterations.

Main Results:

• Identified seven core genes (e.g., LTB, CD3D, CD3E) with strong diagnostic and prognostic value.
• Revealed collapse of critical signaling axes and aberrant activation of inhibitory pathways.
• Confirmed conserved downregulation of core genes in sepsis, leading to immune exhaustion.

Conclusions:

• Highlighted novel biomarkers and therapeutic targets for sepsis immunotherapy.
• Systematically deciphered core gene networks and immune interaction collapse in T cell dysfunction.