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Integrating evolutionary theory into a framework for the mechanistic evaluation of candidate anti-aging interventions

Integrating evolutionary theory into a framework for the mechanistic evaluation of candidate anti-aging interventions

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Authors

Yusuf Aggour, Rob Salguero-Gomez

Abstract

Despite decades of research into the molecular hallmarks of aging, geroscience lacks a unifying framework to guide the development of effective anti-aging interventions. Here, we integrate two leading evolutionary theories—the Disposable Soma Theory and Hyperfunction Theory—into a layered model of aging biology, the “Aging Onion”. In this framework, aging arises both from persistent activity of growth pathways and from insufficient investment into somatic maintenance. We use principles from caloric restriction (CR), a conserved pro-longevity intervention, to test the Aging Onion’s predictive and explanatory power. Pitting CR against rapamycin, a proposed pharmacological mimetic, we review evidence from the nutrient-sensing pathway and disease-prone mouse models. Here, the Aging Onion helps explain CR’s broader efficacy, which derives from simultaneous hyperfunction suppression and maintenance upregulation. Conversely, rapamycin primarily ablates growth signalling and falls short of reproducing CR’s multi-layered impact. Building on this insight, we propose a transcriptomic screening strategy that classifies gene expression changes according to their mechanistic role in aging: hyperfunction suppression vs. maintenance activation. Our approach offers a route to towards mechanistically informed intervention discovery. The ‘Aging Onion’ may thus provide a conceptual and methodological framework to align future candidate interventions with the causal architecture of aging.

DOI

https://doi.org/10.32942/X25H23

Subjects

Life Sciences

Keywords

Caloric Restriction; Disposable Soma Theory; Gene Expression Profiling; Geroprotectors; GLP-1 Receptor Agonists; Hyperfunction Theory; Rapamycin; Drug Discovery.

Dates

Published: 2026-01-30 15:56

Last Updated: 2026-01-30 15:56

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data and Code Availability Statement:
NA

Language:
English