Time-Course Renal and Pulmonary Injury Analysis and Bioinformatics Screening of Core Pathogenic Genes and Immune Cell...

Area of Science:

• Pathology
• Genomics
• Immunology

Background:

• Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection.
• Understanding the molecular mechanisms and genetic factors driving sepsis-induced organ damage is crucial for effective treatment.

Purpose of the Study:

• To evaluate the extent of organ damage in sepsis.
• To identify key genes and pathways involved in sepsis pathogenesis.
• To develop a predictive model for sepsis risk.

Main Methods:

• A cecal ligation and puncture rat model was used to induce sepsis, assessing lung and kidney injury.
• Gene expression data from sepsis patients and controls were analyzed using weighted gene co-expression network analysis.
• Bioinformatics approaches identified sepsis-related pathways, core genes, and immune cell composition differences.

Main Results:

• Sepsis induced progressive lung and kidney damage in rats.
• 505 core sepsis-associated genes were identified, with enrichment in immune-related pathways.
• A five-gene sepsis risk model (CD8A, ITGAM, CXCL8, CCL5, LCK) showed high predictive accuracy.
• Significant differences in immune cell populations, including T cells and dendritic cells, were observed in sepsis.

Conclusions:

• Sepsis severity correlates with increased organ damage over time.
• The identified key genes hold predictive value for assessing sepsis risk.
• Understanding gene-immune cell interactions can improve sepsis clinical management.