Development of a prognostic model for sepsis based on gut microbiota-associated genes and identification of potential targets - PubMed
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- #prognostic-model
- #sepsis
- #gut-microbiota
- Development of a prognostic model (GMGscore) for sepsis based on gut microbiota-associated genes.
- Identified 34 gut microbiota-related DEGs enriched in inflammatory pathways like IBD and IL-17 signaling.
- GMGscore constructed using 6 genes (CYP1A2, FFAR2, IL4R, MUC1, RORA, ASPM) showed high prognostic accuracy (AUC > 0.9).
- High GMGscore correlated with poor survival, upregulated neutrophil degranulation, and reduced neutrophils.
- RORA identified as a key target—downregulated in sepsis, expressed in effector T and NK cells, and linked to immune balance.
- Molecular docking revealed RORA binds with Collinsella-derived metabolites (Citric acid, Sedoheptulose, Tricarballylic acid).
- Findings provide insights into gut microbiota-sepsis interaction and potential for targeted therapies.