Clinical Report: Discovery and validation of new candidate genes for sepsis

Overview

This study identified five candidate genes associated with sepsis and evaluated their diagnostic potential using bioinformatics tools. A logistic regression model demonstrated discriminative ability for diagnosing sepsis in both training and validation cohorts.

Background

Sepsis is a significant global health issue characterized by high morbidity and mortality rates. Accurate and timely diagnosis remains challenging due to the complex nature of its pathogenesis and the lack of specific therapeutic drugs.

Data Highlights

WGCNA identified 1,463 sepsis-associated genes, with five hub genes (CDK1, CCNB1, CCNA2, AURKB, BUB1) showing high expression in sepsis. The logistic regression model based on these genes achieved AUC values of 0.747 in the training set and 0.799 in the validation cohort.

Key Findings

• Five hub genes (CDK1, CCNB1, CCNA2, AURKB, BUB1) were identified as sepsis-associated.
• Higher expression of AURKB or BUB1 was observed.
• The logistic regression model demonstrated AUC values of 0.747 and 0.799 for distinguishing sepsis from healthy controls.
• The model also differentiated septic shock from cardiogenic shock (AUC = 0.743) and non-septic shock (AUC = 0.766).
• Significant correlations were found between gene expression and immune cell infiltration in sepsis.

Clinical Implications

Further validation in prospective cohorts is necessary to establish the clinical utility of the identified genes.

Conclusion

The study identifies specific genes as diagnostic markers for sepsis, requiring further validation.

Related Resources & Content

1. Frontiers in Immunology, 2026 -- Multi-cohort transcriptomics integration for building and validating a diagnostic model of peripheral blood septic shock
2. conexiant -- Can Gene Scores Help Detect Sepsis?
3. Open Forum Infectious Diseases -- Investigating Gene Expression Markers Linked to Neutrophil Extracellular Traps for Assessing Mortality Risk in Neonatal Sepsis
4. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) - PMC
5. Surviving Sepsis Campaign Adult Guidelines | SCCM
6. Frontiers in Immunology — A machine learning integrated multi-omics framework for risk prediction and target discovery in insomnia aggravated sepsis induced acute lung injury
7. Early Restrictive or Liberal Fluid Management for Sepsis-Induced Hypotension | New England Journal of Medicine
8. Restriction of Intravenous Fluid in ICU Patients with Septic Shock | New England Journal of Medicine
9. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) - PMC
10. Surviving Sepsis Campaign Adult Guidelines | SCCM
11. The Diagnostic Utility of Host RNA Biosignatures in Adult Patients With Sepsis: A Systematic Review and Meta-Analysis - PMC
12. Comparison of the diagnostic accuracies of various biomarkers and scoring systems for sepsis: A systematic review and Bayesian diagnostic test accuracy network meta-analysis - PubMed
13. SeptiCyte RAPID (K203748) — FDA 510(k) | Innolitics
14. SeptAsTERS- SeptiCyte® RAPID as assessment tool for early recognition of sepsis - a prospective observational study - PubMed