Gene Expression Markers of NETs Predict Mortality Risk in Neonatal Sepsis
Overview
This study identifies a NET score based on neutrophil extracellular trap (NET)-related gene expression that robustly predicts mortality risk in neonatal sepsis. The NET score demonstrated strong predictive accuracy across independent validation cohorts and correlates with sepsis-induced coagulopathy, highlighting its potential for risk stratification and targeted therapy.
Background
Neonatal sepsis is a critical condition with high mortality, often complicated by coagulopathy due to dysregulated host immune responses. Neutrophil extracellular traps (NETs) contribute to both antimicrobial defense and pathological thrombosis, implicating them in sepsis-associated coagulopathy. Current anticoagulant therapies have failed to reduce mortality, possibly due to patient heterogeneity, underscoring the need for biomarkers that identify neonates at risk for adverse outcomes. Transcriptomic profiling offers a means to detect early molecular changes in NETosis that precede protein-level alterations.
Data Highlights
Dataset
Sample Size
AUC for NET Score
Validation Set 1
43 neonates with sepsis
88.7%
Validation Set 2
Not specified
85.4%
Key Findings
The NET score, derived from NETosis-related gene expression, effectively distinguishes neonatal sepsis nonsurvivors from survivors with AUCs of 88.7% and 85.4% in two validation cohorts.
Mediation and temporal transcriptomic analyses support a sequential relationship where NETosis precedes and promotes coagulation activation in neonatal sepsis.
The NET score shows age specificity, performing well in neonatal datasets but differing in pediatric and adult sepsis cohorts.
Neonates with disseminated intravascular coagulation (DIC) tend to have elevated NET scores, linking NETosis to sepsis-associated coagulopathy.
Transcriptomic analysis enables early detection of NETosis-related gene expression changes, potentially before protein biomarkers become elevated.
Clinical Implications
The NET score offers a novel biomarker for early risk stratification of neonates with sepsis, identifying those at increased risk for coagulopathy and mortality. This stratification could guide personalized therapeutic interventions, including targeted anticoagulant strategies, potentially improving outcomes. Age-specific models are essential given the unique neonatal immune response.
Conclusion
This study establishes NET-related gene expression as a powerful predictor of mortality and coagulopathy risk in neonatal sepsis, supporting the integration of transcriptomic biomarkers into clinical risk assessment and management strategies.
References
Original Study 2024 -- Investigating Gene Expression Markers Linked to Neutrophil Extracellular Traps for Assessing Mortality Risk in Neonatal Sepsis
