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ABSTRACT: Introduction
Post-Sepsis Syndrome (PSS) is marked by persistent immune dysregulation, leading to long-term complications that overlap with autoimmune responses. Uncovering key immune-related candidate genes during PSS recovery can enhance our understanding of immune mechanisms involved in post-sepsis complications and inform targeted therapeutic strategies.Methods
Analyze the GSE46955 dataset containing 24 peripheral blood mononuclear cell (PBMC) samples: 8 from the sepsis stage, 8 from the recovery phase, and 6 from healthy controls. Use the Linear Models for Microarray Data (limma) and Weighted Gene Co-expression Network Analysis (WGCNA) to identify differentially expressed genes (DEGs). Further explore key genes and pathways in sepsis recovery through protein-protein int
SUBMITTER: Zhou Y
PROVIDER: S-EPMC12503608 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature