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 major chronic diseases. However, these studies only describe associations, failing to distinguish drivers of aging from compensatory geroprotective responses and incidental downstream effects. Here, we introduce a workflow to characterize the 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. We ranked each gene according to the number of distinct datasets in which the gene was differentially expressed with age in a consistent direction. The top age-upregulated ge

SUBMITTER: Coler-Reilly A 

PROVIDER: S-EPMC11326176 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature