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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
302
Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis
Guibin Liang1, Jiuang Li1, Shiqian Pu1
1Department of Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Journal of Healthcare Engineering
|October 6, 2022
Summary
This study identified 15 key diagnostic biomarkers for sepsis using bioinformatics analysis. These identified genes may aid in the diagnosis and treatment of sepsis patients.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Immunology
Background:
- Sepsis is a life-threatening condition requiring accurate and timely diagnosis.
- Identifying reliable biomarkers is crucial for improving sepsis patient outcomes.
- Gene expression profiling offers a powerful approach to discover novel biomarkers.
Purpose of the Study:
- To identify differentially expressed genes (DEGs) associated with sepsis.
- To elucidate the molecular mechanisms underlying sepsis pathogenesis.
- To screen for hub genes that can serve as diagnostic and therapeutic biomarkers for sepsis.
Main Methods:
- Acquisition of gene expression profiles from public databases (GSE13904, GSE26378, GSE26440, GSE65682, GSE69528).
- Identification of DEGs using the limma software package.
- Functional enrichment analysis (Gene Ontology, KEGG pathways) and protein-protein interaction (PPI) network analysis to identify hub genes.
Main Results:
- A total of 108 DEGs were identified, with 67 upregulated and 41 downregulated.
- Fifteen superlative diagnostic biomarkers for sepsis were identified: CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1.
- Bioinformatics analysis successfully screened these 15 genes as potential sepsis biomarkers.
Conclusions:
- Fifteen hub genes (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, PRF1) were identified as potential biomarkers for sepsis.
- These identified biomarkers hold promise for improving the diagnosis and therapeutic strategies for patients with sepsis.
- Further validation is warranted to confirm the clinical utility of these sepsis biomarkers.
