Six Drivers of Aging Identified Among Genes Differentially Expressed With Age.

ABSTRACT: Many studies have compared gene expression in young and old samples to gain insights on aging, the primary risk factor for most chronic diseases. However, these studies only identify associations without distinguishing drivers of aging from compensatory geroprotective responses or incidental downstream effects. Here, we introduce a workflow to characterize causal effects of differentially expressed genes on lifespan. First, we performed a meta-analysis of 25 gene expression datasets comprising samples of various tissues from healthy, untreated adult mammals (humans, dogs, and rodents) at two distinct ages. Genes were ranked by the number of datasets in which they exhibited consistent differential expression with age. The top age-upregulated genes were TMEM176A, EFEMP1, CP, and HLA-A; the t

SUBMITTER: Coler-Reilly A 

PROVIDER: S-EPMC12610947 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature