Integrated multi-omics of mitophagy-related molecular subtype characterization and biomarker identification in sepsis.

ABSTRACT: As a life-threatening condition driven by dysregulated host responses to infection, sepsis suffers from high mortality and heterogeneity. Mitophagy is the selective removal of damaged mitochondria, which is implicated in mitigating sepsis-related damage. The systematic identification and validation of key mitophagy-associated genes (MAG) for sepsis diagnosis, stratification, and immune modulation are lacking. Bulk transcriptomic datasets were integrated for differential expression analysis, Weighted Gene Co-expression Network Analysis (WGCNA), and machine learning. We analyzed single-cell RNA-seq data to map MAG expression, performed immune infiltration analyses by ESTIMATE, single-sample Gene Set Enrichment Analysis (ssGSEA) and conducted consensus clustering based on MAG for molecular su

SUBMITTER: Wan C 

PROVIDER: S-EPMC12780246 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature