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S1PR1-Associated Molecular Signature Predicts Survival in Patients with Sepsis
Anlin Feng1, Amanda D Rice1, Yao Zhang1,2
1Department of Internal Medicine, College of Medicine-Phoenix, University of Arizona, Phoenix, Arizona.
Shock (Augusta, Ga.)
|February 12, 2020
Summary
Researchers identified novel gene signatures linked to Sphingosine-1-phosphate receptor 1 (S1PR1) that can predict sepsis patient survival. These S1PR1-related molecular signatures offer potential new tools for sepsis prognosis and diagnosis.
Area of Science:
- Biochemistry
- Genomics
- Immunology
Background:
- Sepsis is a life-threatening condition causing organ damage due to infection.
- Current prognostic biomarkers for sepsis survival are lacking.
- Sphingosine-1-phosphate (S1P) and its receptor S1PR1 are implicated in sepsis signaling.
Purpose of the Study:
- To identify S1PR1-associated biomarkers for sepsis survival prediction.
- To develop novel prognostic and diagnostic tools for sepsis using gene expression profiles.
Main Methods:
- Utilized gene expression analysis from public sepsis patient datasets (Gene Expression Omnibus).
- Identified S1PR1-related and sepsis survival-related genes.
- Developed and validated S1PR1-related molecular signatures (SMS).
Main Results:
- Identified 62-gene and 16-gene S1PR1-related molecular signatures (SMS) associated with sepsis survival.
- SMS genes are enriched in key sepsis-related immunity pathways.
- SMS demonstrated strong performance in both discovery and validation cohorts, outperforming random gene signatures.
Conclusions:
- Confirmed the role of S1PR1-dependent genes in sepsis development.
- Provided novel gene signatures for predicting sepsis patient survival.
- These signatures show potential as prognostic and diagnostic tools for sepsis.
