Entropy of muscle fiber histology, quantified as a homeostatic dysregulation index of muscle (HDIM), was associated with slower 400-m walk speed, lower peak VO2, muscle power, and decreased maximum rate of oxidative phosphorylation, suggesting muscle fibers accumulate entropy with aging that contributes to physical performance decline.
Key Findings
Methods
A homeostatic dysregulation index of muscle (HDIM) was developed as a proxy for entropy of muscle fiber disorganization from vastus lateralis biopsies.
HDIM was derived from cross-sectional images of vastus lateralis biopsies from 299 adults aged 70 or older.
HDIM was constructed from three traits: fiber area diversity, fiber-type heterogeneity, and the mean of the shortest path lengths through adjacent fiber networks.
HDIM was highly correlated with Shannon entropy, a different measure of entropy of muscle fiber traits.
Results
Higher HDIM was associated with slower 400-meter walk speed in older adults.
The association was independent of muscle mass.
Participants were age 70 or older (n=299) from the Study of Muscle, Mobility, and Aging.
Results
Higher HDIM was associated with lower peak VO2 in older adults.
The association was observed independent of muscle mass.
Peak VO2 reflects cardiorespiratory fitness and oxidative capacity.
Results
Higher HDIM was associated with lower muscle power in older adults.
The association was independent of muscle mass.
This finding supports the role of muscle fiber disorganization in functional muscle decline.
Results
Higher HDIM was associated with decreased maximum rate of oxidative phosphorylation by mitochondria in muscle.
This finding links muscle fiber entropy to mitochondrial energetics.
The association was independent of muscle mass.
The result advances the entropy framework by connecting histological disorganization to mitochondrial function.
Background
Muscle appears increasingly histologically disorganized with aging, characterized by greater fiber size variability and fiber-type grouping.
Fiber-type grouping and fiber size variability are established histological features of aged skeletal muscle.
These features served as the basis for quantifying entropy via HDIM in this study.
The authors frame this disorganization within an entropy framework of aging.
Hong N, Cho S, Cohen A, Hepple R, Coen P, Ahn B, et al.. (2026). Entropy of Muscle Fiber Histology Predicts Mobility in Older Adults: The Study of Muscle, Mobility, and Aging.. Aging cell. https://doi.org/10.1111/acel.70421