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Dataset Information

Comprehensive analysis of a pyroptosis-related gene signature of clinical and biological values in spinal cord injury.


ABSTRACT:

Background

Since some of the clinical examinations are not suitable for patients with severe spinal cord injury (SCI), blood biomarkers have been reported to reflect the severity of SCI. The objective of this study was to screen out the potential biomarkers associated with the diagnosis of SCI by bioinformatics analysis.

Methods

The microarray expression profiles of SCI were obtained from the Gene Expression Omnibus (GEO) database. Core genes correlated to pyroptosis were obtained by crossing the differential genes, and module genes were obtained by WGCNA analysis and lasso regression. The immune infiltration analysis and GSEA analysis revealed the essential effect of immune cells in the progression of SCI. In addition, the accuracy of the biomarkers in diagnosing SCI was su

SUBMITTER: Zhang P 

PROVIDER: S-EPMC10237016 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature