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Updated: Jul 23, 2025

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Enhanced cellular longevity arising from environmental fluctuations.

Yuting Liu1, Zhen Zhou1, Songlin Wu1

  • 1Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.

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Summary
This summary is machine-generated.

Mathematical modeling of yeast aging reveals dynamic glucose modulation can promote cellular longevity by stabilizing healthy cell states. This approach offers insights into aging interventions across diverse organisms.

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Area of Science:

  • Gerontology
  • Systems Biology
  • Mathematical Biology

Background:

  • Cellular longevity is influenced by complex interactions between genetic and environmental factors, particularly during aging.
  • Understanding these interactions is crucial for developing effective interventions against age-related decline.

Approach:

  • Developed a mathematical model to simulate dynamic glucose modulation of a core gene circuit in yeast aging.
  • Applied dynamical systems theory to identify strategies for promoting longevity: stable "healthy" cell states and dynamic stabilization via oscillations.
  • Experimentally validated model predictions by manipulating environmental glucose levels.

Key Points:

  • Dynamic glucose modulation can create stable fixed points representing a "healthy" cellular state.
  • Environmental oscillations, specifically glucose fluctuations, can dynamically stabilize the aging system around this healthy state.
  • The model provides a theoretical framework for analyzing aging trajectories and perturbations.

Conclusions:

  • This study establishes a paradigm for theoretical analysis of aging processes using mathematical modeling.
  • The findings can be generalized to understand and potentially influence aging in various cell types and organisms.
  • Dynamic environmental modulation offers a promising strategy for promoting cellular longevity.