Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.

ABSTRACT: Alzheimer's disease (AD) is the most common neurodegenerative disorder worldwide, for which aging represents the main risk factor. As the global elderly population expands, the prevalence of Alzheimer's disease escalates rapidly. Notably, as AD brain lesions may start 15-20 years before the appearance of the first symptoms, early diagnosis or prognosis of AD is of paramount importance for better patient treatment. Based on the absence of effective cure or early diagnosis of AD, this meta-analysis investigates the differentially expressed genes between Alzheimer's and a healthy brain and identifies genes that can serve as risk factors for the disease or biomarkers of diagnostic, prognostic, or pharmacological value. Microarray datasets were collected from public repositories, following the

SUBMITTER: Dermitzaki E 

PROVIDER: S-EPMC12938635 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature