International Journal of Medical Sciences, 2022 · DOI: 10.7150/ijms.66422 · Published: January 1, 2022
Alzheimer's disease (AD) is a neurodegenerative disorder marked by cognitive decline and memory loss, with inflammation recognized as a significant contributor. This research identifies immune cell types and key genes associated with AD using bioinformatics analysis of prefrontal cortex transcriptomic data. The study used data from the Gene Expression Omnibus (GEO) database and methods like CIBERSORT and WGCNA to analyze immune cell composition and gene co-expression networks. LASSO and random forest models helped identify key genes related to AD and M1 macrophages. The findings indicate that immune infiltration in the prefrontal cortex of AD patients differs from healthy individuals, with M1 macrophages being the most relevant cell type. Ten key genes associated with AD and M1 macrophages were identified and validated.
The 10 identified key genes could serve as potential targets for developing new immunotherapies for AD.
The identified immune cell infiltration patterns and gene expression signatures could be used as diagnostic biomarkers for early AD detection.
The study enhances our understanding of the role of the immune system in AD pathology, paving the way for novel research directions.