The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Innervation and neuromuscular control in ageing skeletal muscle
Open accessAbstract
Changes in the neuromuscular system affecting the ageing motor unit manifest structurally as a reduction in motor unit number secondary to motor neuron loss; fibre type grouping due to repeating cycles of denervation‐reinnervation; and instability of the neuromuscular junction that may be due to either or both of a gradual perturbation in postsynaptic signalling mechanisms necessary for maintenance of the endplate acetylcholine receptor clusters or a sudden process involving motor neuron death or traumatic injury to the muscle fibre. Functionally, these changes manifest as a reduction in strength and coordination that precedes a loss in muscle mass and contributes to impairments in fatigue. Regular muscle activation in postural muscles or through habitual physical activity can attenuate some of these structural and functional changes up to a point along the ageing continuum. On the other hand, regular muscle activation in advanced age (>75 years) loses its efficacy, and at least in rodents may exacerbate age‐related motor neuron death. Transgenic mouse studies aimed at identifying potential mechanisms of motor unit disruptions in ageing muscle are not conclusive due to many different mechanisms converging on similar motor unit alterations, many of which phenocopy ageing muscle. Longitudinal studies of ageing models and humans will help clarify the cause and effect relationships and thus, identify relevant therapeutic targets to better preserve muscle function across the lifespan. image
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Citations
Cites
Identification of ubiquitin ligases required for skeletal muscle atrophy.
Bodine, S. C., Latres, E., Baumhueter, S., Lai, V. K.-M., Nunez, L., Clarke, B. A., Poueymirou, W. T., Panaro, F. J., Na, E., Dharmarajan, K., et al. (2001) · Science · doi:10.1126/science.1065874 · Cited by 3,521
Goodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083 · cited 1×
“It is also interesting that some reports find the reduction in strength with ageing occurs prior to significant muscle loss, and even after muscle loss occurs the reduction in strength is greater than can be accounted for by muscle atrophy alone (e.g. Goodpaster et al. (2006).”
BackgroundData on the distribution of fibre types in thirty-six human muscles
Johnson, M. A., Polgar, J., Weightman, D., & Appleton, D. (1973) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(73)90023-3 · Cited by 2,200
Mechanisms regulating skeletal muscle growth and atrophy
Schiaffino, S., Dyar, K. A., Ciciliot, S., Blaauw, B., & Sandri, M. (2013) · The FEBS Journal · doi:10.1111/febs.12253 · Cited by 1,492
Milan, G., Romanello, V., Pescatore, F., Armani, A., Paik, J.-H., Frasson, L., Seydel, A., Zhao, J., Abraham, R., Goldberg, A. L., et al. (2015) · Nature Communications · doi:10.1038/ncomms7670 · Cited by 709
Mitochondrial fission and remodelling contributes to muscle atrophy
Romanello, V., Guadagnin, E., Gomes, L., Roder, I., Sandri, C., Petersen, Y., Milan, G., Masiero, E., Del Piccolo, P., Foretz, M., et al. (2010) · The EMBO Journal · doi:10.1038/emboj.2010.60 · Cited by 596
Muller, F. L., Song, W., Jang, Y. C., Liu, Y., Sabia, M., Richardson, A., & Van Remmen, H. (2007) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00767.2006 · Cited by 355
Motor unit firing rates and contractile properties in tibialis anterior of young and old men
Connelly, D. M., Rice, C. L., Roos, M. R., & Vandervoort, A. A. (1999) · Journal of Applied Physiology · doi:10.1152/jappl.1999.87.2.843 · Cited by 340
Self-citationAge differences in knee extension power, contractile velocity, and fatigability
Petrella, J. K., Kim, J.-S., Tuggle, S. C., Hall, S. R., & Bamman, M. M. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00294.2004 · Cited by 270
Power loss is greater in old men than young men during fast plantar flexion contractions
Dalton, B. H., Power, G. A., Vandervoort, A. A., & Rice, C. L. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00335.2010 · Cited by 81
Self-citation
Cited by
Migliavacca, E., Tay, S. K. H., Patel, H. P., Sonntag, T., Civiletto, G., McFarlane, C., Forrester, T., Barton, S. J., Leow, M. K., Antoun, E., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13694-1 · Cited by 365
Human skeletal muscle aging atlas
Kedlian, V. R., Wang, Y., Liu, T., Chen, X., Bolt, L., Tudor, C., Shen, Z., Fasouli, E. S., Prigmore, E., Kleshchevnikov, V., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00613-3 · Cited by 218
The neuromuscular junction is a focal point of mTORC1 signaling in sarcopenia
Ham, D. J., Börsch, A., Lin, S., Thürkauf, M., Weihrauch, M., Reinhard, J. R., Delezie, J., Battilana, F., Wang, X., Kaiser, M. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18140-1 · Cited by 180
Mitochondria initiate and regulate sarcopenia
Alway, S. E., Mohamed, J. S., & Myers, M. J. (2017) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000101 · Cited by 153
“However, sarcopenia in aged humans and rodents also is associated with motor neuronal death (96,139), which causes impaired innervation (48,106), and a ~27% reduction in the motor unit pool.”
BackgroundSkewed macrophage polarization in aging skeletal muscle
Cui, C., Driscoll, R. K., Piao, Y., Chia, C. W., Gorospe, M., & Ferrucci, L. (2019) · Aging Cell · doi:10.1111/acel.13032 · Cited by 117
Metadata
- Authors
- Hepple, R. T., & Rice, C. L.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2015-12-21
- Volume
- 594
- Issue
- 8
- Pages
- 1965-1978
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W1941728630
- Cited by
- 400
- References
- 10
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- green
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