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

Authors
 Hong, Namki  ;  Cho, Sang Wouk  ;  Cohen, Alan A.  ;  Hepple, Russell T.  ;  Coen, Paul M.  ;  Ahn, Bumsoo  ;  Newman, Anne B.  ;  Kritchesky, Stephen B.  ;  Laurenti, Paul J.  ;  Browner, Warren S.  ;  Cummings, Steven R. 
Citation
 AGING CELL, Vol.25(3), 2026-03 
Article Number
 e70421 
Journal Title
AGING CELL
ISSN
 1474-9718 
Issue Date
2026-03
MeSH
Aged ; Aged, 80 and over ; Aging* / physiology ; Entropy ; Female ; Humans ; Male ; Muscle Fibers, Skeletal* / metabolism ; Muscle Fibers, Skeletal* / pathology ; Muscle Fibers, Skeletal* / physiology ; Muscle, Skeletal* / physiology
Keywords
aging ; computer-assisted ; entropy ; image processing ; mobility limitation ; muscles
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 (HDIM) 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. HDIM was derived from three traits: fiber area diversity, fiber-type heterogeneity, and the mean of the shortest path lengths through adjacent fiber networks. HDIM derived from muscle fibers was highly correlated with Shannon entropy, a different measure of entropy of muscle fiber traits. Higher HDIM derived from participants was associated with slower 400-m walk speed, lower peak VO2, 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.
Files in This Item:
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DOI
10.1111/acel.70421
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Cho, Sang Wouk(조상욱)
Hong, Nam Ki(홍남기) ORCID logo https://orcid.org/0000-0002-8246-1956
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/211738
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