Upregulated CD177 on neutrophils is implicated in sepsis pathogenesis and necroptosis-driven inflammation.

Introduction: Sepsis remains a leading cause of mortality in critical care, with dysregulated inflammatory responses driving disease progression. However, the role of necroptosis in sepsis pathogenesis remains incompletely understood. Methods: Here, through integration of multi-center cohort data (n = 1,265) and weighted gene co-expression network analysis (WGCNA), we constructed a six-gene necroptosis signature (CEBPD, CEBPB, MARCKS, SOCS3, PIM3, and JUNB) that correlated with sepsis severity and outcomes. Subsequently, we detected the expression of these genes in whole blood using qPCR. Furthermore, machine learning models incorporating this signature were evaluated across independent cohorts. Single-cell data analysis and flow cytometric analysis were further performed to characterize CD177 Results: All six Model-score genes were upregulated in sepsis patients, with four of them showing significant differences. Machine learning models incorporating this signature achieved robust diagnostic performance across independent cohorts. At the transcriptomic level, necroptosis activation showed a strong correlation with both the IL-6/STAT3 and TNF-α/NF-κB inflammatory pathways and distinct myeloid subsets. Single-cell data analysis further revealed that CD177 Discussion: Collectively, our findings suggest that CD177+ neutrophils may be involved in necroptosis-related inflammation in sepsis and provide a clinically relevant gene signature for patient stratification, offering new perspectives for potential therapeutic exploration in sepsis management.