Exercise is associated with younger methylome and transcriptome profiles in human skeletal muscle

Author:

Voisin Sarah12ORCID,Seale Kirsten1,Jacques Macsue1,Landen Shanie1,Harvey Nicholas R.34,Haupt Larisa M.456,Griffiths Lyn R.4,Ashton Kevin J.3,Coffey Vernon G.3,Thompson Jamie‐Lee M.3,Doering Thomas M.7,Lindholm Malene E.8,Walsh Colum9,Davison Gareth10,Irwin Rachelle9,McBride Catherine10,Hansson Ola1112,Asplund Olof11,Heikkinen Aino E.12,Piirilä Päivi13,Pietiläinen Kirsi H.1415,Ollikainen Miina1216,Blocquiaux Sara17,Thomis Martine17,Coletta Dawn K.181920,Sharples Adam P.21,Eynon Nir122

Affiliation:

1. Institute for Health and Sport (iHeS) Victoria University Footscray Victoria Australia

2. Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark

3. Faculty of Health Sciences and Medicine Bond University Gold Coast Queensland Australia

4. Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences Queensland University of Technology Brisbane Queensland Australia

5. ARC Training Centre for Cell and Tissue Engineering Technologies Queensland University of Technology (QUT) Brisbane Queensland Australia

6. Max Planck Queensland Centre for the Materials Sciences of Extracellular Matrices Brisbane Queensland Australia

7. School of Health, Medical and Applied Sciences Central Queensland University Rockhampton Queensland Australia

8. Department of Medicine, School of Medicine Stanford University Stanford California USA

9. Genomic Medicine Research Group, School of Biomedical Sciences Ulster University Coleraine UK

10. Sport and Exercise Sciences Research Institute Ulster University Belfast UK

11. Department of Clinical Sciences, Genomics, Diabetes and Endocrinology Unit, Lund University Diabetes Center Lund University Lund Sweden

12. Institute for Molecular Medicine Finland (FIMM) Helsinki University Helsinki Finland

13. Unit of Clinical Physiology Helsinki University Hospital and University of Helsinki Helsinki Finland

14. Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine University of Helsinki Helsinki Finland

15. HealthyWeightHub, Endocrinology, Abdominal Center Helsinki University Hospital and University of Helsinki Helsinki Finland

16. Minerva Foundation Institute for Medical Research Helsinki Finland

17. Department of Movement Sciences, Physical Activity, Sports and Health Research Group KU Leuven Leuven Belgium

18. Department of Medicine, Division of Endocrinology University of Arizona Tucson Arizona USA

19. UA Center for Disparities in Diabetes Obesity and Metabolism University of Arizona Tucson Arizona USA

20. Department of Physiology University of Arizona Tucson Arizona USA

21. Institute of Physical Performance Norwegian School of Sport Sciences Oslo Norway

22. Australian Regenerative Medicine Institute Monash University Clayton Victoria Australia

Abstract

AbstractExercise training prevents age‐related decline in muscle function. Targeting epigenetic aging is a promising actionable mechanism and late‐life exercise mitigates epigenetic aging in rodent muscle. Whether exercise training can decelerate, or reverse epigenetic aging in humans is unknown. Here, we performed a powerful meta‐analysis of the methylome and transcriptome of an unprecedented number of human skeletal muscle samples (n = 3176). We show that: (1) individuals with higher baseline aerobic fitness have younger epigenetic and transcriptomic profiles, (2) exercise training leads to significant shifts of epigenetic and transcriptomic patterns toward a younger profile, and (3) muscle disuse “ages” the transcriptome. Higher fitness levels were associated with attenuated differential methylation and transcription during aging. Furthermore, both epigenetic and transcriptomic profiles shifted toward a younger state after exercise training interventions, while the transcriptome shifted toward an older state after forced muscle disuse. We demonstrate that exercise training targets many of the age‐related transcripts and DNA methylation loci to maintain younger methylome and transcriptome profiles, specifically in genes related to muscle structure, metabolism, and mitochondrial function. Our comprehensive analysis will inform future studies aiming to identify the best combination of therapeutics and exercise regimes to optimize longevity.

Funder

National Health and Medical Research Council

Publisher

Wiley

Subject

Cell Biology,Aging

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