Neural control of aging skeletal muscle
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Summary: Functional and structural decline in the neuromuscular system with aging has been recognized as a cause of impairment in physical performance and loss of independence in the elderly. Alterations in spinal cord motor neurones and at the neuromuscular junction have been identified as evidence of denervation in skeletal muscles from aging mammals, including humans. However, the reciprocal influences of neurones on gene expression in muscle and of muscle on age‐related neurodegeneration are poorly understood, and, as a result, interventions aimed at delaying or preventing degeneration of the neural component in aging muscle have been largely unsuccessful. The present article discusses the evidence for neural influence on age‐related impairments of skeletal muscle, including a role in excitation–contraction uncoupling. The role of nerves in regulating the trophic actions of insulin‐like growth factor‐1 (IGF‐1) and other neurotrophic factors is considered as a novel influence on the effects of aging on the neuromuscular junction. A better understanding of nerve–muscle interactions will allow for more rational interventions in the aging neuromuscular system.
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Possible mechanisms for reduced muscle mass and strength in sarcopenic obesity include type II fibre atrophy, motor neuron loss, collagen deposition and fibre necrosis.
“A number of mechanisms might explain the reduction of muscle mass and strength in sarcopenic obesity, including type II muscle fibre atrophy, reduction in motor neurons, collagen deposition and fibre necrosis67–70.”
From Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies (2018) · cites this paper as [69]
The Introduction links age-related muscle-mass loss to fibre atrophy, and ‘Neural influences on aging skeletal muscle’ describes motor-unit loss and denervation of fast fibres. The Conclusions also discuss possible motor-neurone loss and reduced muscle force. These passages concern aging muscle, not specifically sarcopenic obesity; they do not establish type II fibre atrophy, collagen deposition, or fibre necrosis. Page numbers are unavailable in our copy. (LLM, conf=0.88)
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- Authors
- Delbono, O.
- Affiliations
- Wake Forest University Health Sciences (US)
- Corresponding author
- Delbono, Osvaldo
- ORCID
- Delbono, Osvaldo
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2003-01-28
- Volume
- 2
- Issue
- 1
- Pages
- 21-29
- ISSN
- 1474-9718 (ISSN-L)
- 1474-9726
- OpenAlex
- W2046854924
- Cited by
- 248
- References
- 97
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 5 · 2021: 18 · 2020: 16 · 2019: 12 · 2018: 11 · 2017: 9 · 2016: 20 · 2015: 11 · 2014: 9 · 2013: 9 · 2012: 16
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Aging Cell (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Muscular Dystrophy Association
- National Institutes of Health (AG13934)
- National Institute on Aging (AG/AR 18755, AG 15820, AG-13934, R01AG015820)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Nerve injury and regeneration
- Keywords
- skeletal muscle aging, neuromuscular junction, spinal motoneurons, denervation, excitation-contraction uncoupling, insulin-like growth factor I, neurotrophic factors, nerve-muscle interaction, age-related neurodegeneration, muscle gene expression
- MeSH terms
- Aging, Animals, Humans, Insulin-Like Growth Factor I, Motor Neurons, Nerve Growth Factors, Neuromuscular Junction, Muscle, Skeletal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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