Researchers develop transcriptomic coexpression model to identify geroprotective compounds

A newly developed transcriptomic coexpression model successfully predicted and validated 10 lifespan-extending compounds in C. elegans, with several target modules showing conservation and correlation with frailty in mice.

Researchers built a model to predict potential geroprotectors by deconstructing the C. elegans aging transcriptome into coexpression modules modulated by lifespan-extending interventions.

Using these longevity-associated modules, the team predicted and validated 10 compounds—7 of which were previously unreported—that significantly extended lifespan in C. elegans.

RNA sequencing analysis of the top two candidate compounds confirmed targeted modulation of the identified longevity-associated modules.

The researchers identified that several of these longevity-associated modules are conserved in mice and correlate with frailty.

The study demonstrates that systemic, beneficial transcriptomic adaptations occur during aging and can be systematically targeted to extend lifespan.

By moving beyond single-gene targets to multi-gene coexpression modules, this methodology offers a more robust framework for computational drug discovery in the longevity field.

Conservation of these modules in mice suggest that the transcriptomic networks regulating invertebrate lifespan are functionally relevant to mammalian frailty and aging.

The findings validate the underlying premise of systems-biology and computational discovery platforms that aim to map aging pathways through transcriptomic and state-modeling approaches.

Preclinical translation of the 10 identified compounds to evaluate their efficacy in mammalian models of frailty and age-related disease.