Models of accelerated sarcopenia: critical pieces for solving the puzzle of age-related muscle atrophy
Open accessAbstract
Sarcopenia, the age-related loss of skeletal muscle mass, is a significant public health concern that continues to grow in relevance as the population ages. Certain conditions have the strong potential to coincide with sarcopenia to accelerate the progression of muscle atrophy in older adults. Among these conditions are co-morbid diseases common to older individuals such as cancer, kidney disease, diabetes, and peripheral artery disease. Furthermore, behaviors such as poor nutrition and physical inactivity are well-known to contribute to sarcopenia development. However, we argue that these behaviors are not inherent to the development of sarcopenia but rather accelerate its progression. In the present review, we discuss how these factors affect systemic and cellular mechanisms that contribute to skeletal muscle atrophy. In addition, we describe gaps in the literature concerning the role of these factors in accelerating sarcopenia progression. Elucidating biochemical pathways related to accelerated muscle atrophy may allow for improved discovery of therapeutic treatments related to sarcopenia.
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“These cytokines, while counteracting viral replication (Belec et al., 1994; Thea et al., 1996), are also capable of inducing cachexia as described above (Belec et al.”
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- Authors
- Buford, T. W., Anton, S. D., Judge, A. R., Marzetti, E., Wohlgemuth, S. E., Carter, C. S., Leeuwenburgh, C., Pahor, M., & Manini, T. M.
- Affiliations
- University of Florida (US)
- Corresponding author
- Buford, Thomas W.
- Manini, Todd M.
- ORCID
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 9
- Issue
- 4
- Pages
- 369-383
- ISSN
- 1568-1637 (ISSN-L)
- PMC
- PMC3788572
- OpenAlex
- W1967880601
- Cited by
- 295
- References
- 272
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 17 · 2023: 22 · 2022: 16 · 2021: 24 · 2020: 19 · 2019: 12 · 2018: 20 · 2017: 24 · 2016: 21 · 2015: 25 · 2014: 17 · 2013: 17 · 2012: 29
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Ageing Research Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P30AG028740)
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
- Keywords
- sarcopenia, age-related muscle loss, skeletal muscle, comorbidities, cancer, kidney disease, diabetes mellitus, peripheral arterial disease, nutrition, physical inactivity, therapeutic target
- MeSH terms
- Acceleration, Aged, Aged, 80 and over, Aging, Diabetes Mellitus, Feeding Behavior, Humans, Kidney Diseases, Health Knowledge, Attitudes, Practice, Models, Biological, Motor Activity, Neoplasms, Nutritional Requirements, Comorbidity, Apoptosis, Muscle, Skeletal, Sarcopenia, Peripheral Arterial Disease
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.
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