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Anabolic Resistance of Muscle Protein Turnover Comes in Various Shapes and Sizes
Abstract
Anabolic resistance is defined by a blunted stimulation of muscle protein synthesis rates (MPS) to common anabolic stimuli in skeletal muscle tissue such as dietary protein and exercise. Generally, MPS is the target of most exercise and feeding interventions as muscle protein breakdown rates seem to be less responsive to these stimuli. Ultimately, the blunted responsiveness of MPS to dietary protein and exercise underpins the loss of the amount and quality of skeletal muscle mass leading to decrements in physical performance in these populations. The increase of both habitual physical activity (including structured exercise that targets general fitness characteristics) and protein dense food ingestion are frontline strategies utilized to support muscle mass, performance, and health. In this paper, we discuss anabolic resistance as a common denominator underpinning muscle mass loss with aging, obesity, and other disease states. Namely, we discuss the fact that anabolic resistance exists as a dimmer switch, capable of varying from higher to lower levels of resistance, to the main anabolic stimuli of feeding and exercise depending on the population. Moreover, we review the evidence on whether increased physical activity and targeted exercise can be leveraged to restore the sensitivity of skeletal muscle tissue to dietary amino acids regardless of the population.
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“Anabolic resistance is characterized by a higher threshold of skeletal muscle to anabolic stimuli, such as resistance exercise or dietary protein intake [13].”
From Protein Intake, Physical Performance and Body Composition in Master Athletes—A Short Scoping Review (2025) · cites this paper as [13]
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Orsso, C. E., Montes‐Ibarra, M., Findlay, M., van der Meij, B. S., de van der Schueren, M. A. E., Landi, F., Laviano, A., & Prado, C. M. (2022) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12954 · Cited by 73
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Metadata
- Authors
- Paulussen, K. J. M., McKenna, C. F., Beals, J. W., Wilund, K. R., Salvador, A. F., & Burd, N. A.
- Venue
- Frontiers in Nutrition
- Publisher
- Frontiers Media SA
- Published
- 2021-05-05
- Volume
- 8
- ISSN
- 2296-861X
- Cited by
- 107
- References
- 39
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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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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.