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Dataset Information

Diagnostic and predictive values of pyroptosis-related genes in sepsis.


ABSTRACT:

Background

Sepsis is an organ dysfunction syndrome caused by the body's dysregulated response to infection. Yet, due to the heterogeneity of this disease process, the diagnosis and definition of sepsis is a critical issue in clinical work. Existing methods for early diagnosis of sepsis have low specificity.

Aims

This study evaluated the diagnostic and predictive values of pyroptosis-related genes in normal and sepsis patients and their role in the immune microenvironment using multiple bioinformatics analyses and machine-learning methods.

Methods

Pediatric sepsis microarray datasets were screened from the GEO database and the differentially expressed genes (DEGs) associated with pyroptosis were analyzed. DEGs were then subjected to multiple bioinformatics analyses. Th

SUBMITTER: Wang X 

PROVIDER: S-EPMC9932037 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature