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Published VersionCC BY V4.0, Open Access
Journal article
Sleep, circadian biology and skeletal muscle interactions: Implications for metabolic health
Sleep Medicine Reviews, Vol.66, pp.1-10
2022
PMID: 36272396
Abstract
There currently exists a modern epidemic of sleep loss, triggered by the changing demands of our 21st century lifestyle that embrace ‘round-the-clock’ remote working hours, access to energy-dense food, prolonged periods of inactivity, and on-line social activities. Disturbances to sleep patterns impart widespread and adverse effects on numerous cells, tissues, and organs. Insufficient sleep causes circadian misalignment in humans, including perturbed peripheral clocks, leading to disrupted skeletal muscle and liver metabolism, and whole-body energy homeostasis. Fragmented or insufficient sleep also perturbs the hormonal milieu, shifting it towards a catabolic state, resulting in reduced rates of skeletal muscle protein synthesis. The interaction between disrupted sleep and skeletal muscle metabolic health is complex, with the mechanisms underpinning sleep-related disturbances on this tissue often multifaceted. Strategies to promote sufficient sleep duration combined with the appropriate timing of meals and physical activity to maintain circadian rhythmicity are important to mitigate the adverse effects of inadequate sleep on whole-body and skeletal muscle metabolic health. This review summarises the complex relationship between sleep, circadian biology, and skeletal muscle, and discusses the effectiveness of several strategies to mitigate the negative effects of disturbed sleep or circadian rhythms on skeletal muscle health.
Details
- Title
- Sleep, circadian biology and skeletal muscle interactions: Implications for metabolic health
- Authors
- Matthew Morrison - Australian Catholic UniversityShona L Halson - Australian Catholic UniversityJonathon Weakley (Corresponding Author) - Australian Catholic UniversityJohn Hawley - Australian Catholic University
- Publication details
- Sleep Medicine Reviews, Vol.66, pp.1-10
- Publisher
- Elsevier Masson
- Date published
- 2022
- DOI
- 10.1016/j.smrv.2022.101700
- ISSN
- 1532-2955; 1087-0792
- PMID
- 36272396
- Copyright note
- © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Organisation Unit
- Centre for Human Factors and Systems Science
- Language
- English
- Record Identifier
- 991128802802621
- Output Type
- Journal article
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