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The role of exercise-induced myokines in regulating metabolism
Abstract
Exercise has beneficial effects in ameliorating metabolic disorders, and a combined therapeutic regimen of regular exercise and pharmaceutical treatment is often recommended. Exercise biology is complex and it involves various metabolic and molecular changes that translate into changes in substrate utilization, enzyme activation, and alternatively, improvement in exercise performance. Besides the effect of exercise on muscle metabolism, it has recently been discovered that contracting muscle can induce secretion of molecules called myokines. In the past few decades, a number of myokines have been discovered, such as interleukin-6, irisin, myostatin, interleukin-15, brain-derived neurotrophic factor, β-aminoisobutyric acid, meteorin-like, leukemia inhibitory factor, and secreted protein acidic and rich in cysteine, through secretome analysis. The existence of myokines has enhanced our understanding of how muscles communicate with other organs such as adipose tissue, liver, bone, and brain to exert beneficial effects of exercise at the whole body level. In this review, we focus on the role of these myokines in regulating local muscle metabolism as well as systemic metabolism in an autocrine/paracrine/endocrine fashion. The therapeutic potential of myokines and the natural or synthetic compounds known to date that regulate myokines are also discussed.
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“These exert beneficial physiologic and metabolic effects not only in SkM itself but also in distant tissues such as white adipose tissue (WAT), bone, liver, the central nervous system (CNS), and cells of the immune system to drive a systemic anti-inflammatory and insulin-sensitive state, permissive for optimization of total-body energy expenditure [5,7,26,27].”
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“It contributes to the induction of PGC-1α, FNDC5, and irisin in SkM [27,49,133].”
In the citing paper
“It is believed that myostatin inhibits muscle cell growth and differentiation, and irisin stimulates the increase of muscle mass (42, 43).”
From Diabetes and Sarcopenic Obesity: Pathogenesis, Diagnosis, and Treatments (2020) · cites this paper as [42]
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“In addition to its effects on muscle, IL-15 downregulates the accumulation of lipids in preadipocytes and reduces the WAT mass, partly through stimulation of adiponectin secretion (Carbo et al. 2001; Quinn et al. 2005), which suggests that IL-15 mediates the exerciseinduced muscle-fat crosstalk.”
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Background
Metadata
- Authors
- Huh, J. Y.
- Affiliations
- Chonnam National University (KR)
- Corresponding author
- Huh, Joo Young
- ORCID
- Huh, Joo Young
- Venue
- Archives of Pharmacal Research
- Published
- 2017-11-25
- Volume
- 41
- Issue
- 1
- Pages
- 14-29
- ISSN
- 0253-6269 (ISSN-L)
- 1976-3786
- OpenAlex
- W2770919725
- Cited by
- 242
- References
- 176
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 27 · 2023: 39 · 2022: 34 · 2021: 34 · 2020: 31 · 2019: 29 · 2018: 13
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Pharmacal Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation of Korea (2015R1C1A1A02037367)
- Chonnam National University (2014-2215, 2015-3035)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Exercise and Physiological Responses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- muscle metabolism, systemic metabolism, interleukin-6, irisin, myostatin, IL-15, brain-derived neurotrophic factor, meteorin-like, leukemia inhibitory factor, SARC, metabolic disorders
- MeSH terms
- Aminoisobutyric Acids, Cysteine, Fibronectins, Humans, Exercise, Interleukin-6, Muscle, Skeletal, Brain-Derived Neurotrophic Factor, Interleukin-15, Myostatin
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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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