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Using network analysis to find existing drugs that target key signs of aging
Updated
Abstract
A network medicine framework mapped 2,358 longevity-associated genes onto the human interactome.
- Genes linked to each hallmark of aging form connected modules within the network.
- The proximity of 6,442 compounds to these hallmark modules can be measured.
- A transcription-based metric, pAGE, evaluates drug-induced expression shifts against known age-related changes.
- Integration of network proximity and pAGE identifies potential drug-repurposing candidates for specific aging hallmarks.
- The findings reveal molecular mechanisms through which drugs may influence aging processes.
Simplified
Longevity & Aging