What this means
Researchers used gene activity patterns to predict compounds that could extend life. They tested 10 of them in tiny worms, and seven had not been reported before. This shows a possible way to find such compounds, but it does not show they work in people.
Plain-English summary written by an AI model from the abstract. The original is below.
- Who it was tested in
- C. elegans worms, with some mice data
- Kind of research
- Research in animals or cells
The science
- Original title
- Predicting and finding geroprotective compounds through modulating conserved longevity-associated aging modules.
- Authors
- Huai W, Ng LF, Lee JH et al.
- Journal
- Science advances
- Published
- Sep 30, 2026
- Study type
- Lab or animal study · indexed as animal research
- PMID
- 42814817 ↗
Abstract
Currently, no generalizable tools exist for predicting the impact of interventions on aging using gene expression changes. Here, we build a model for predicting potential geroprotectors by deconstructing the aging transcriptome into coexpression modules and identifying those modulated by life span-extending interventions in Caenorhabditis elegans (C. elegans). Many of these modules exhibited adaptive changes during aging that are linked to longevity. Using these longevity-associated modules, we predicted and validated 10 compounds (7 previously unreported) that significantly extended life span in C. elegans. RNA sequencing analysis of two top candidates also showed targeted modulation of our longevity-associated modules. We identified conservation of several modules in mice that were also correlated with frailty. Together, our findings demonstrate that beneficial transcriptomic adaptations occur during aging and that targeting longevity-associated modules offers a framework for geroprotector discovery.
Huai W, Ng LF, Lee JH et al. Predicting and finding geroprotective compounds through modulating conserved longevity-associated aging modules. Science advances. 2026. doi:10.1126/sciadv.aee3657. PMID: 42814817. https://pubmed.ncbi.nlm.nih.gov/42814817/