Identification of immune-infiltrated hub genes as potential biomarkers of Moyamoya disease by bioinformatics analysis.

ABSTRACT:

Background

Moyamoya disease (MMD) is a rare chronic progressive cerebrovascular disease. Recent studies have shown that autoimmune inflammation may also be an important pathology in MMD but the molecular mechanisms of inflammation in this disease are still large unknown. This study was designed to identify key biomarkers and the immune infiltration in vessel tissue of MMD using bioinformatics analysis.

Methods

Raw gene expression profiles (GSE157628, GSE141024) were downloaded from the Gene Expression Omnibus (GEO) database, identified differentially expressed genes (DEGs) and performed functional enrichment analysis. The CIBERSORT deconvolution algorithm was used to analyze the proportion of immune cells between MMD and an MMD-negative control group. We screened for neutrop

SUBMITTER: Jin F 

PROVIDER: S-EPMC8867641 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature