Identification and validation of glycosylation-related gene signatures for prognostic stratification in sepsis.

ABSTRACT: Sepsis is a life-threatening condition caused by a dysregulated host response to infection and is one of the leading causes of morbidity and mortality worldwide. Glycosylation is one of the key modes of protein modification, affecting protein folding, transportation, and localization. Glycosylation patterns are closely related to sepsis, but their specific impact still needs further investigation. This study explored the role of glycosylation-related genes in sepsis through bioinformatics analysis and machine learning, and validated the expression value of the key genes. We identified 38 differentially expressed glycosylation-related genes in sepsis datasets, which divided sepsis patients into two subgroups with different survival outcomes, thus highlighting their prognostic value. Subsequ

SUBMITTER: Li C 

PROVIDER: S-EPMC12263689 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature