Scientists at the National University of Singapore developed a computational model that identifies potential anti-aging compounds by analyzing how genes are expressed in groups — called coexpression modules — during aging. They mapped which of these modules are activated by known lifespan-extending interventions in C. elegans worms. Using this framework, they predicted 10 compounds likely to extend lifespan, then validated all 10 in living worms. Seven of those compounds had never previously been identified as geroprotective. RNA sequencing confirmed that the top candidates worked by targeting the same gene modules the model flagged. Crucially, several of these longevity-associated modules were also found in mice, where they correlated with frailty scores — suggesting the approach may translate to mammals and potentially humans.
