Transcriptomic analysis of mRNAs in human whole blood identified age-specific changes in healthy individuals.

ABSTRACT: Older age is one of the most important shared risk factors for multiple chronic diseases, increasing the medical burden to contemporary societies. Current research focuses on identifying aging biomarkers to predict aging trajectories and developing interventions aimed at preventing and delaying the progression of multimorbidity with aging. Here, a transcriptomic changes analysis of whole blood genes with age was conducted. The age-related whole blood gene-expression profiling datasets were downloaded from the Gene Expression Omnibus (GEO) database. We screened the differentially expressed genes (DEGs) between healthy young and old individuals and performed functional enrichment analysis. Cytoscape with Cytohubba and MCODE was used to perform an interaction network of DEGs and identify hub

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10713173 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature