S100A12 as a key biomarker in a neutrophil-associated gene prediction model for sepsis diagnosis.

ABSTRACT: Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. As a leading cause of mortality in intensive care units patients, it still lacks sensitive biomarkers. Therefore, this study aimed to develop a diagnostic model for sepsis and identify key driver biomarkers. Using single-cell RNA sequencing (scRNA-seq) data from the GEO database, we constructed a diagnostic model through 113 machine learning (ML) frameworks, supplemented with Shapley additive explanations (SHAP) analysis to identify pivotal genes. Results revealed a significant increase in myeloid cells, particularly neutrophils, in the peripheral blood of sepsis patients. Screening identified 70 upregulated and 762 downregulated neutrophil-associated genes, which were intersected w

SUBMITTER: Huang X 

PROVIDER: S-EPMC12643676 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature