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A Minimal Model Explains Aging Regimes and Guides Intervention Strategies
Abstract
Aging varies widely across species yet converges on uni-versal laws such as Gompertzian mortality. We propose a minimal framework that reduces this complexity to three macroscopic variables: the leading stress response ( z 0 ), cumulative entropic damage ( Z ), and regulatory noise strength ( D 0 ). The model predicts two regimes. In unstable species such as flies and mice, intrinsic instability drives exponential divergence of biomarkers and mortality. In stable species such as humans, linear damage accumulation steadily erodes the leading stress response, producing a hyperbolic trajectory toward a finite maximum lifespan. The framework reproduces survival curves and methylation dynamics across taxa and organizes intervention strategies into three levels: modulating stress responses, reducing noise, and slowing entropic damage, offering a roadmap for extending human healthspan and lifespan.
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Fedichev et al. proposed a stochastic ODE model derived from expansion of modes in an interacting system, with similarities to the SR model, and noted that mice and humans have quasi-stable versus stable dynamics.
“Recently Fedichev et al. proposed a stochastic ODE model derived from expansion of modes in an interacting system, with similarities to the SR model, and noted that mice and humans have quasi-stable versus stable dynamics21,22.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [21]
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A damage accumulation model identifies distinct aging regimes across species
Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U. (2026) · Nature Aging · doi:10.1038/s43587-026-01138-7 · Cited by 7
Metadata
- Authors
- Fedichev, P., & Gruber, J.
- Publisher
- openRxiv
- Published
- 2025-08-27
- Cited by
- 7
- References
- 10
- Type
- Preprint
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