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This analysis reveals connections between epigenetic age and thermodynamic parameters, suggesting potential for rejuvenation.
We present a synthesis based on epigenetics, machine learning and polymer physics from which emerges new relationships between the thermodynamic Flory–Huggins parameter (χ), epigenetic age (eAge) and Shannon entropy. Using a framework for the estimation of χ in the nuclear environment we show that χ∝eAge−1 and χ∝Shannon Entropy−1. As cells age, epigenetic drift results in “smoothing out” of the epigenetic landscape reducing the magnitude of χ. Epigenetic rejuvenation reverses epigenetic drift and restores χ to levels found in young cells with concomitant reduction in both eAge and Shannon entropy.
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Prim B. Singh (2025) studied this question.
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