Two modules designated as black and light yellow module were found to be associated with mortality outcome. The network was well preserved among different causes of sepsis. ResultsĪ total number of 682 subjects with various causes of sepsis were included for consensus WGCNA analysis, which identified 27 modules. The module most significantly associated with mortality were further analyzed for the identification of master regulators of transcription factors and miRNA. Consensus weighted gene co-expression netwoek analysis (WGCNA) was performed to identify modules of sepsis. The dataset GSE65682 from the Gene Expression Omnibus (GEO) database was utilized for bioinformatic analysis. The study aimed to identify master regulators of mortality-related modules, providing potential therapeutic target for further translational experiments. Regulatory mechanisms underlying the disease progression and prognosis are largely unknown. Sepsis is a leading cause of mortality and morbidity in the intensive care unit.