The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
The age-related loss of skeletal muscle mass and function: Measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans
Open accessAbstract
Age-related loss of skeletal muscle mass and function, sarcopenia, is associated with physical frailty and increased risk of morbidity (chronic diseases), in addition to all-cause mortality. The loss of muscle mass occurs incipiently from middle-age (∼1%/year), and in severe instances can lead to a loss of ∼50% by the 8-9th decade of life. This review will focus on muscle deterioration with ageing and highlight the two underpinning mechanisms regulating declines in muscle mass and function: muscle fibre atrophy and muscle fibre loss (hypoplasia) - and their measurement. The mechanisms of muscle fibre atrophy in humans relate to imbalances in muscle protein synthesis (MPS) and breakdown (MPB); however, since there is limited evidence for basal alterations in muscle protein turnover, it would appear that "anabolic resistance" to fundamental environmental cues regulating diurnal muscle homeostasis (namely physical activity and nutrition), underlie age-related catabolic perturbations in muscle proteostasis. While the 'upstream' drivers of the desensitization of aged muscle to anabolic stimuli are poorly defined, they most likely relate to impaired efficiency of the conversion of nutritional/exercise stimuli into signalling impacting mRNA translation and proteolysis. Additionally, loss of muscle fibres has been shown in cadaveric studies using anatomical fibre counts, and from iEMG studies demonstrating motor unit loss, albeit with few molecular investigations of this in humans. We suggest that defining countermeasures against sarcopenia requires improved understandings of the co-ordinated regulation of muscle fibre atrophy and fibre loss, which are likely to be inextricably linked.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Muscle as an Endocrine Organ: Focus on Muscle-Derived Interleukin-6
Pedersen, B. K., & Febbraio, M. A. (2008) · Physiological Reviews · doi:10.1152/physrev.90100.2007 · Cited by 2,388
Longitudinal study of muscle strength, quality, and adipose tissue infiltration
Delmonico, M. J., Harris, T. B., Visser, M., Park, S. W., Conroy, M. B., Velasquez-Mieyer, P., Boudreau, R., Manini, T. M., Nevitt, M., Newman, A. B., et al. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28047 · Cited by 1,446
Aging of skeletal muscle: a 12-yr longitudinal study
Frontera, W. R., Hughes, V. A., Fielding, R. A., Fiatarone, M. A., Evans, W. J., & Roubenoff, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.88.4.1321 · Cited by 1,443
Physical activity in older age: perspectives for healthy ageing and frailty
McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016) · Biogerontology · doi:10.1007/s10522-016-9641-0 · Cited by 1,369
Visser, M., Pahor, M., Taaffe, D. R., Goodpaster, B. H., Simonsick, E. M., Newman, A. B., Nevitt, M., & Harris, T. B. (2002) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/57.5.m326 · Cited by 1,294
Shulman, G. I., Rothman, D. L., Jue, T., Stein, P., DeFronzo, R. A., & Shulman, R. G. (1990) · New England Journal of Medicine · doi:10.1056/nejm199001253220403 · Cited by 1,248
Anabolic signaling deficits underlie amino acid resistance of wasting, aging muscle
Cuthbertson, D., Smith, K., Babraj, J., Leese, G., Waddell, T., Atherton, P., Wackerhage, H., Taylor, P. M., & Rennie, M. J. (2005) · The FASEB Journal · doi:10.1096/fj.04-2640fje · Cited by 1,211 · cited 2×
“younger individuals (Atherton et al., 2010a; Cuthbertson et al., 2005), and with exercise being able to extend the duration of this anabolic response (beyond 2-3 h) when performed alongside intake of dietary protein of free EAA mixtures (Cuthbertson et al.”
BackgroundSelf-citationDeFronzo, R. A., Gunnarsson, R., Björkman, O., Olsson, M., & Wahren, J. (1985) · Journal of Clinical Investigation · doi:10.1172/jci111938 · Cited by 1,167
Cited by
Physical activity and exercise: Strategies to manage frailty
Angulo, J., El Assar, M., Álvarez-Bustos, A., & Rodríguez-Mañas, L. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101513 · Cited by 771
Sarcopenia and Cardiovascular Diseases
Damluji, A. A., Alfaraidhy, M., AlHajri, N., Rohant, N. N., Kumar, M., Al Malouf, C., Bahrainy, S., Ji Kwak, M., Batchelor, W. B., Forman, D. E., et al. (2023) · Circulation · doi:10.1161/circulationaha.123.064071 · Cited by 645
El Assar, M., Álvarez-Bustos, A., Sosa, P., Angulo, J., & Rodríguez-Mañas, L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158713 · Cited by 371
Advances in muscle health and nutrition: A toolkit for healthcare professionals
Prado, C. M., Landi, F., Chew, S. T. H., Atherton, P. J., Molinger, J., Ruck, T., & Gonzalez, M. C. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.07.041 · Cited by 237
Self-citationPhysical Exercise in the Oldest Old
Valenzuela, P. L., Castillo‐García, A., Morales, J. S., Izquierdo, M., Serra‐Rexach, J. A., Santos‐Lozano, A., & Lucia, A. (2019) · Comprehensive Physiology · doi:10.1002/cphy.c190002 · Cited by 152
Metadata
- Authors
- Wilkinson, D. J., Piasecki, M., & Atherton, P. J.
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 47
- Pages
- 123-132
- ISSN
- 1568-1637 (ISSN-L)
- OpenAlex
- W2884048133
- Cited by
- 874
- References
- 46
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The age-related loss of skeletal muscle mass and function: Measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans. https://app.cochat.ai/papers/10.1016/j.arr.2018.07.005
- The paper
- Wilkinson, D. J., Piasecki, M., & Atherton, P. J. (2018). The age-related loss of skeletal muscle mass and function: Measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans. Ageing Research Reviews. https://doi.org/10.1016/j.arr.2018.07.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.