Entropy of Muscle Fiber Histology Predicts Mobility in Older Adults: The Study of Muscle, Mobility, and Aging

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Authors: Namki Hong, Sang Wouk Cho, Alan A. Cohen, Russell T. Hepple, Paul M Coen, Bumsoo Ahn, Anne B. Newman, Stephen B. Kritchesky, Paul J. Laurenti, Warren S. Browner, Steven Ron Cummings
Cited by: 1
References: 28

Abstract

ABSTRACT Entropy may play an underappreciated role in human aging, such as in skeletal muscle functional declines. Histologically, muscle appears increasingly disorganized with aging, with greater fiber size variability and fiber‐type grouping. We tested the hypothesis that entropy is associated with reduced physical performance and muscle function, independent of muscle mass. We quantified a homeostatic dysregulation index of muscle (HDI M ) as a proxy for entropy of muscle fiber disorganization based on cross‐sectional images of vastus lateralis biopsies from 299 adults age 70 or older. HDI M was derived from three traits: fiber area diversity, fiber‐type heterogeneity, and the mean of the shortest path lengths through adjacent fiber networks. HDI M derived from muscle fibers was highly correlated with Shannon entropy, a different measure of entropy of muscle fiber traits. Higher HDI M derived from participants was associated with slower 400‐m walk speed, lower peak VO 2 , muscle power, and decreased maximum rate of oxidative phosphorylation by mitochondria in muscle. These findings suggest that muscle fibers accumulate entropy with aging which contributes to decline in physical performance, muscle power, and mitochondrial energetics, advancing the entropy framework in aging research.

Fields of Study & Subjects

Muscle Physiology and Disorders Nutrition and Health in Aging Muscle activation and electromyography studies

Publication details

Journal / source
Aging Cell
Publisher
Wiley
Volume
25
Issue
3
Pages
e70421–e70421
Publication date
22 February 2026
Language
EN