Identification of genes and pathways associated with multiple organ dysfunction syndrome by microarray analysis.

Area of Science:

• Genomics
• Molecular Biology
• Systems Biology

Background:

• Multiple organ dysfunction syndrome (MODS) is a leading cause of mortality in intensive care units.
• Understanding the molecular mechanisms underlying MODS is crucial for developing effective treatments.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) and associated pathways in a murine model of MODS.
• To investigate common DEGs and regulatory networks across lung, liver, and kidney tissues affected by MODS.

Main Methods:

• Downloaded and analyzed microarray dataset GSE60088 from the Gene Expression Omnibus.
• Identified DEGs in lung, liver, and kidney tissues from MODS mice compared to controls.
• Performed Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and constructed protein-protein interaction networks.
• Predicted transcription factors regulating common DEGs using iRegulon.

Main Results:

• Identified 943, 267, and 227 DEGs in lung, liver, and kidney tissues, respectively.
• Found common pathways including 'cytokine-cytokine receptor interaction' and 'Jnk-STAT signaling pathway' (lung/liver), and 'MAPK signaling pathway' and 'p53 signaling pathway' (liver/kidney).
• Discovered 18 common DEGs across all three organs, such as Cebpb and Olfml1, with identified regulatory interactions.

Conclusions:

• Identified specific genes (e.g., Cebpb, Olfml1) and pathways (e.g., cytokine-cytokine receptor interaction, MAPK signaling) implicated in MODS progression.
• These identified genes and pathways represent potential therapeutic targets for MODS treatment.