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Dataset Information

Discovery and Validation of Key Biomarkers Based on Immune Infiltrates in Alzheimer's Disease.


ABSTRACT:

Background

As the most common neurodegenerative disease, Alzheimer's disease (AD) leads to progressive loss of cognition and memory. Presently, the underlying pathogenic genes of AD patients remain elusive, and effective disease-modifying therapy is not available. This study explored novel biomarkers that can affect diagnosis and treatment in AD based on immune infiltration.

Methods

The gene expression profiles of 139 AD cases and 134 normal controls were obtained from the NCBI GEO public database. We applied the computational method CIBERSORT to bulk gene expression profiles of AD to quantify 22 subsets of immune cells. Besides, based on the use of the Least Absolute Shrinkage Selection Operator (LASSO), this study also applied SVM-RFE analysis to screen key genes. GO-based

SUBMITTER: Liu Z 

PROVIDER: S-EPMC8281057 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature