Biomarker Candidates for Alzheimer's Disease Unraveled through In Silico Differential Gene Expression Analysis.

ABSTRACT: Alzheimer's disease (AD) is neurodegeneration that accounts for 60-70% of dementia cases. Symptoms begin with mild memory difficulties and evolve towards cognitive impairment. The underlying risk factors remain primarily unclear for this heterogeneous disorder. Bioinformatics is a relevant research tool that allows for identifying several pathways related to AD. Open-access databases of RNA microarrays from the peripheral blood and brain of AD patients were analyzed after background correction and data normalization; the Limma package was used for differential expression analysis (DEA) through statistical R programming language. Data were corrected with the Benjamini and Hochberg approach, and genes with p-values equal to or less than 0.05 were considered to be significant. The direction o

SUBMITTER: Silva-Lucero MD 

PROVIDER: S-EPMC9139748 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature