Summary
This multi-omic study integrated genomic, transcriptomic, and metabolomic data to elucidate molecular mechanisms underlying biological aging and human longevity. Using Mendelian randomization and transcriptomic imputation, the authors identified 22 high-confidence genes associated with epigenetic age acceleration and 7 with multivariate longevity, implicating immune cell populations, lipoprotein metabolism, and three novel druggable targets (FLOT1, KPNA4, TMX2). The findings provide a systems-level perspective on aging biology and suggest potential intervention targets.
UK applicability
Whilst this study employed molecular biomarkers rather than dietary or agricultural interventions, its findings on lipid metabolism and immune function may inform future UK dietary guidelines and translational research linking agricultural nutrient density to aging outcomes. The identified druggable targets could inform precision medicine approaches in UK healthcare.
Key measures
Epigenetic age acceleration (four measures); multivariate longevity phenotype; transcriptomic imputation associations; cis-instrument Mendelian randomization of druggable genome; metabolomics Mendelian randomization; cell-type enrichment; immune cell trait associations
Outcomes reported
The study identified 22 high-confidence genetic associations with epigenetic age acceleration and 7 with multivariate longevity (healthspan, lifespan, exceptional longevity) using integrated genomic, transcriptomic, and metabolomic data. Novel genes (FLOT1, KPNA4, TMX2) and metabolic pathways, particularly non-HDL cholesterol effects, were implicated in aging processes.
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