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Dataset Information

Identification of Immune Candidate Genes in Post-Sepsis Syndrome: Linking Innate Immunity to Long-Term Autoimmune Responses.


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