The DOI matches its Crossref record; 176 of the 176 references it cites were found in a registry or an index.
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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In the citing paper
“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].”
In the citing paper
“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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Cites
1 retracted
Dual Role of Interleukin-6 in Regulating Insulin Sensitivity in Murine Skeletal Muscle
Nieto-Vazquez, I., Fernández-Veledo, S., de Alvaro, C., & Lorenzo, M. (2008) · Diabetes · doi:10.2337/db07-1062 · Cited by 209
RetractedTuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · cited 1×
“In contrast, physical inactivity is associated with development of various diseases such as type 2 diabetes mellitus (T2DM), sarcopenia, osteoporosis, cardiovascular disease, and cancer (Tuomilehto et al. 2001; Monninkhof et al. 2007; Nocon et al. 2008; Wolin et al. 2009; Naseeb and Volpe 2017).”
BackgroundA PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis
Boström, P., Wu, J., Jedrychowski, M. P., Korde, A., Ye, L., Lo, J. C., Rasbach, K. A., Boström, E. A., Choi, J. H., Long, J. Z., et al. (2012) · Nature · doi:10.1038/nature10777 · Cited by 4,810
Wu, Z., Puigserver, P., Andersson, U., Zhang, C., Adelmant, G., Mootha, V., Troy, A., Cinti, S., Lowell, B., Scarpulla, R. C., et al. (1999) · Cell · doi:10.1016/s0092-8674(00)80611-x · Cited by 4,139
Regulation of skeletal muscle mass in mice by a new TGF-p superfamily member
McPherron, A. C., Lawler, A. M., & Lee, S.-J. (1997) · Nature · doi:10.1038/387083a0 · Cited by 4,013
Muscles, exercise and obesity: skeletal muscle as a secretory organ
Pedersen, B. K., & Febbraio, M. A. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2012.49 · Cited by 2,909
Bodine, S. C., Stitt, T. N., Gonzalez, M., Kline, W. O., Stover, G. L., Bauerlein, R., Zlotchenko, E., Scrimgeour, A., Lawrence, J. C., Glass, D. J., et al. (2001) · Nature Cell Biology · doi:10.1038/ncb1101-1014 · Cited by 2,752
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
Metabolic control through the PGC-1 family of transcription coactivators
Lin, J., Handschin, C., & Spiegelman, B. M. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.05.004 · Cited by 2,130 · cited 2×
“liferator-activated receptor gamma coactivator 1-alpha (PGC1a) is a well-defined transcription factor responsible for mitochondrial biogenesis, transformation of muscle fiber type, and regulation of skeletal muscle metabolism (Wu et al. 1999; Lin et al. 2005).”
BackgroundExercise Metabolism and the Molecular Regulation of Skeletal Muscle Adaptation
Egan, B., & Zierath, J. R. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.012 · Cited by 2,084
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PGC-1α as a Pivotal Factor in Lipid and Metabolic Regulation
Cheng, C., Ku, H., & Lin, H. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19113447 · Cited by 450
Skeletal muscle atrophy: From mechanisms to treatments
Yin, L., Li, N., Jia, W., Wang, N., Liang, M., Yang, X., & Du, G. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105807 · Cited by 423
Dantzer, R., Cohen, S., Russo, S. J., & Dinan, T. G. (2018) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2018.08.010 · Cited by 339
Inflammation and sarcopenia: A focus on circulating inflammatory cytokines
Pan, L., Xie, W., Fu, X., Lu, W., Jin, H., Lai, J., Zhang, A., Yu, Y., Li, Y., & Xiao, W. (2021) · Experimental Gerontology · doi:10.1016/j.exger.2021.111544 · Cited by 321
Gonzalez-Gil, A. M., & Elizondo-Montemayor, L. (2020) · Nutrients · doi:10.3390/nu12061899 · Cited by 278
“It contributes to the induction of PGC-1α, FNDC5, and irisin in SkM [27,49,133].”
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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