Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis - Scorecard - MDSpire
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Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis
Clinical Scorecard: Discovery and validation of new candidate genes with diagnostic potential for sepsis through weighted gene co-expression network analysis
At a Glance
Category
Detail
Condition
Sepsis
Key Mechanisms
Systemic inflammatory response, immune dysfunction, and coagulopathy
Target Population
Patients with sepsis and septic shock
Care Setting
Clinical diagnostics and research
Key Highlights
Identified 1,463 sepsis-associated genes using WGCNA.
Five hub genes (CDK1, CCNB1, CCNA2, AURKB, BUB1) showed high expression in sepsis.
Logistic regression model demonstrated AUC values of 0.747 and 0.799 for distinguishing sepsis from healthy controls.
Higher expression of AURKB or BUB1 correlated with shorter overall survival.
Exploratory analyses indicated potential for differentiating septic shock from other shock types.
Guideline-Based Recommendations
Diagnosis
Utilize ROC analysis for evaluating diagnostic potential of identified genes.
Management
Current treatment includes antibiotics, antiviral drugs, and vasoactive agents.
Monitoring & Follow-up
Monitor gene expression levels and immune cell infiltration in sepsis.
Risks
High morbidity and mortality associated with sepsis.
Patient & Prescribing Data
Patients diagnosed with sepsis and septic shock.
No specific therapeutic drug; focus on managing systemic inflammatory response.
Clinical Best Practices
Integrate multi-omics approaches for identifying key genes in sepsis.
Conduct further validation of candidate genes in independent prospective cohorts.
