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Lifelong physical activity is associated with promoter hypomethylation of genes involved in metabolism, myogenesis, contractile properties and oxidative stress resistance in aged human skeletal muscle
Open accessAbstract
Lifelong regular physical activity is associated with reduced risk of type 2 diabetes (T2D), maintenance of muscle mass and increased metabolic capacity. However, little is known about epigenetic mechanisms that might contribute to these beneficial effects in aged individuals. We investigated the effect of lifelong physical activity on global DNA methylation patterns in skeletal muscle of healthy aged men, who had either performed regular exercise or remained sedentary their entire lives (average age 62 years). DNA methylation was significantly lower in 714 promoters of the physically active than inactive men while methylation of introns, exons and CpG islands was similar in the two groups. Promoters for genes encoding critical insulin-responsive enzymes in glycogen metabolism, glycolysis and TCA cycle were hypomethylated in active relative to inactive men. Hypomethylation was also found in promoters of myosin light chain, dystrophin, actin polymerization, PAK regulatory genes and oxidative stress response genes. A cluster of genes regulated by GSK3β-TCF7L2 also displayed promoter hypomethylation. Together, our results suggest that lifelong physical activity is associated with DNA methylation patterns that potentially allow for increased insulin sensitivity and a higher expression of genes in energy metabolism, myogenesis, contractile properties and oxidative stress resistance in skeletal muscle of aged individuals.
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“lifelong mixed-modality endurance exercise training may help reduce DNA methylation in the promoter regions of glycolysis, glycogen synthesis, and TCA-related genes in aged human skeletal muscle, thereby maintaining muscle mass and increasing metabolic capacity [70].”
From Exerkines and Sarcopenia: Unveiling the Mechanism Behind Exercise-Induced Mitochondrial Homeostasis (2025) · cites this paper as [70]
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Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799
Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications
Krueger, F., & Andrews, S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr167 · Cited by 5,324
A Flexible System of Enzymatic Analysis
Lowry, O. H., & Passonneau, J. V. (1972) · Elsevier eBooks · doi:10.1016/b978-0-12-457950-7.x5001-3 · Cited by 4,050
Schreck, R., RIEBER, P., & Baeuerle, P. A. (1991) · The EMBO Journal · doi:10.1002/j.1460-2075.1991.tb07761.x · Cited by 3,793
Pax7 Is Required for the Specification of Myogenic Satellite Cells
Seale, P., Sabourin, L. A., Girgis-Gabardo, A., Mansouri, A., Gruß, P., & Rudnicki, M. A. (2000) · Cell · doi:10.1016/s0092-8674(00)00066-0 · Cited by 2,345
Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes
Grant, S. F. A., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Manolescu, A., Sainz, J., Helgason, A., Stefansson, H., Emilsson, V., Helgadottir, A., et al. (2006) · Nature Genetics · doi:10.1038/ng1732 · Cited by 2,287
methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles
Akalin, A., Kormáksson, M., Li, S., Garrett-Bakelman, F. E., Figueroa, M. E., Melnick, A. M., & Mason, C. E. (2012) · Genome biology · doi:10.1186/gb-2012-13-10-r87 · Cited by 2,269
Hoeijmakers, J. H. J. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0804615 · Cited by 2,239
Decline in skeletal muscle mitochondrial function with aging in humans
Short, K. R., Bigelow, M. L., Kahl, J., Singh, R., Coenen-Schimke, J., Raghavakaimal, S., & Nair, K. S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501559102 · Cited by 1,333
Acute Exercise Remodels Promoter Methylation in Human Skeletal Muscle
Barrès, R., Yan, J., Egan, B., Treebak, J. T., Rasmussen, M., Fritz, T., Caidahl, K., Krook, A., O'Gorman, D. J., & Zierath, J. R. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.01.001 · Cited by 965
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Smith, J. A. B., Murach, K. A., Dyar, K. A., & Zierath, J. R. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-023-00606-x · Cited by 342
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Furrer, R., Hawley, J. A., & Handschin, C. (2023) · Physiological Reviews · doi:10.1152/physrev.00017.2022 · Cited by 253
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Vargas-Mendoza, N., Morales‐González, Á., Madrigal‐Santillán, E., Madrigal‐Bujaidar, E., Álvarez‐González, I., García-Melo, L. F., Anguiano‐Robledo, L., Fregoso-Aguilar, T. A., & Morales‐González, J. A. (2019) · Antioxidants · doi:10.3390/antiox8060196 · Cited by 170
Effects of aging and lifelong aerobic exercise on basal and exercise-induced inflammation
Lavin, K. M., Perkins, R. K., Jemioło, B., Raue, U., Trappe, S. W., & Trappe, T. A. (2019) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00495.2019 · Cited by 150
Turner, D. C., Gorski, P. P., Maasar, M. F., Seaborne, R. A., Baumert, P., Brown, A. D., Kitchen, M. O., Erskine, R. M., Dos-Remedios, I., Voisin, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-72730-z · Cited by 139
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Murach, K. A., Dimet‐Wiley, A., Wen, Y., Brightwell, C. R., Latham, C. M., Dungan, C. M., Fry, C. S., & Watowich, S. J. (2021) · Aging Cell · doi:10.1111/acel.13527 · Cited by 104
Plaza‐Díaz, J., Izquierdo, D., Torres‐Martos, Á., Baig, A. T., Aguilera, C. M., & Ruiz‐Ojeda, F. J. (2022) · Biomedicines · doi:10.3390/biomedicines10010126 · Cited by 121
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Lieberman, D. E., Kistner, T. M., Richard, D. J., Lee, I.-M. M., & Baggish, A. L. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2107621118 · Cited by 82
Hendrix, J., Nijs, J., Ickmans, K., Godderis, L., Ghosh, M., & Polli, A. (2020) · Antioxidants · doi:10.3390/antiox9111166 · Cited by 78
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Heikkinen, A., Bollepalli, S., & Ollikainen, M. (2022) · Journal of Internal Medicine · doi:10.1111/joim.13496 · Cited by 70
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You, Y., Chen, Y., Ding, H., Liu, Q., Wang, R., Xu, K., Wang, Q., Gašević, D., & Ma, X. (2025) · npj Aging · doi:10.1038/s41514-025-00217-0 · Cited by 60
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Gensous, N., Bacalini, M. G., Franceschi, C., Meskers, C. G. M., Maier, A. B., & Garagnani, P. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00996 · Cited by 55
Dethlefsen, M. M., Halling, J. F., Møller, H. D., Plomgaard, P., Regenberg, B., Ringholm, S., & Pilegaard, H. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.07.011 · Cited by 54
Self-citationThe myonuclear DNA methylome in response to an acute hypertrophic stimulus
von Walden, F., Rea, M., Mobley, C. B., Fondufe‐Mittendorf, Y. N., McCarthy, J. J., Peterson, C. A., & Murach, K. A. (2020) · Epigenetics · doi:10.1080/15592294.2020.1755581 · Cited by 57
Li, J., Wang, Z., Li, C., Song, Y., Wang, Y., Hai, B., & Zhang, Y. (2022) · Cells · doi:10.3390/cells11132086 · Cited by 56
Jones, R. G., Dimet‐Wiley, A., Haghani, A., da Silva, F. M., Brightwell, C. R., Lim, S., Khadgi, S., Wen, Y., Dungan, C. M., Brooke, R. T., et al. (2022) · The Journal of Physiology · doi:10.1113/jp283836 · Cited by 48
Sellami, M., Bragazzi, N. L., Slimani, M., Hayes, L. D., Jabbour, G., Giorgio, A. D., & Dugué, B. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16101709 · Cited by 50
Spartano, N. L., Wang, R., Yang, Q., Chernofsky, A., Murabito, J. M., Vasan, R. S., Levy, D. A., Beiser, A., & Seshadri, S. S. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003041 · Cited by 44
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Blocquiaux, S., Ramaekers, M., Thienen, R. V., Nielens, H., Delecluse, C., Bock, K. D., & Thomis, M. A. (2021) · JCSM Rapid Communications · doi:10.1002/rco2.52 · Cited by 39
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You, Y., Li, J., Zhang, Y., Liu, Q., Ablitip, A., Lao, Y., Wang, J., Xu, K., Yao, Z., Chen, Y., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.11.047 · Cited by 26
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Caporossi, D., & Dimauro, I. (2024) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2024.01.023 · Cited by 23
Wu, D., Jia, Y., Liu, Y., Pan, X., Li, P., & Shang, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-77359-w · Cited by 11
Vasileva, F., Hristovski, R., Font‐Lladó, R., Georgiev, G., Sacot, A., López‐Ros, V., Calleja-González, J., Barretina, J., López‐Bermejo, A., & Prats‐Puig, A. (2023) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000004686 · Cited by 11
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Alrumaihi, F., Al-Doaiss, A. A., Ullah, F., Alwanian, W. M., Alharbi, H. O., Alassaf, F. S., Alfifi, S. M., Alshabrmi, F. M., Alkhayl, F. F. A., & Alatawi, E. A. (2025) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2025.103056 · Cited by 10
Zhang, X., Ammous, F., Lin, L., Ratliff, S. M., Ware, E. B., Faul, J. D., Zhao, W., Kardia, S. L. R., & Smith, J. A. (2022) · Genes · doi:10.3390/genes13111959 · Cited by 8
Dye, C. K., Corley, M. J., Ing, C. T., Lum‐Jones, A., Li, D., Mau, M. K. L. M., & Maunakea, A. K. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01307-6 · Cited by 9
Dahrendorff, J., Currier, G. W., & Uddin, M. (2024) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32985 · Cited by 9
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Yang, G., Yang, W., & Kiarasi, F. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70758 · Cited by 9
Cruz, M. A. D., Ulfenborg, B., Blomstrand, P., Faresjö, M., Ståhl, F. L., & Karlsson, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-15924-x · Cited by 8
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Ottoboni, L. K., Panicucci, C., Magni, G., Gagliardi, D., Ripolone, M., Napoli, L., Moggio, M. G., Comi, G. P., Bruno, C., & Corti, S. P. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107324 · Cited by 6
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Gao, T., Zheng, Y., Joyce, B. T., Kho, M., Terry, J. G., Wang, J., Nannini, D. R., Carr, J. J., Nair, S., Zhang, K., et al. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad261 · Cited by 2
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Metadata
- Authors
- Sailani, M. R., Halling, J. F., Møller, H. D., Lee, H., Plomgaard, P., Pilegaard, H., Snyder, M. P., & Regenberg, B.
- Affiliations
- Stanford Medicine (US)
- University of Copenhagen (DK)
- Copenhagen University Hospital (DK)
- Corresponding author
- Regenberg, Birgitte
- ORCID
- Venue
- Scientific Reports
- Published
- 2019-03-01
- Volume
- 9
- Issue
- 1
- Pages
- 3272-3272
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6397284
- OpenAlex
- W2920732619
- Cited by
- 129
- References
- 40
- Citations by year
- 2026: 9 · 2025: 24 · 2024: 24 · 2023: 18 · 2022: 23 · 2021: 13 · 2020: 9 · 2019: 8
- FWCI
- 4.38
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Science Foundation
- Villum Fonden (VKR023513)
- Danish Diabetes Academy
- National Research Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (161005, 151825)
- Danmarks Grundforskningsfond (DNRF55)
- Danmarks Frie Forskningsfond
- TrygFonden
- National Heart, Lung, and Blood Institute (R01HL122887)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Keywords
- lifelong physical activity, DNA methylation, promoter hypomethylation, skeletal muscle aging, epigenetics, sedentary lifestyle, insulin sensitivity, glycogen metabolism, myogenesis, oxidative stress resistance, myosin light chain, dystrophin, actin polymerization, PAK, type 2 diabetes risk, muscle contractile properties
- MeSH terms
- Aging, Humans, Male, Middle Aged, Muscle Contraction, Muscle Proteins, Promoter Regions, Genetic, Exercise, Oxidative Stress, Muscle, Skeletal, DNA Methylation, Muscle Development
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