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Time Course Analysis Reveals Gene-Specific Transcript and Protein Kinetics of Adaptation to Short-Term Aerobic Exercise Training in Human Skeletal Muscle
Open accessAbstract
Repeated bouts of episodic myofibrillar contraction associated with exercise training are potent stimuli for physiological adaptation. However, the time course of adaptation and the continuity between alterations in mRNA expression and protein content are not well described in human skeletal muscle. Eight healthy, sedentary males cycled for 60 min at 80% of peak oxygen consumption (VO2peak) each day for fourteen consecutive days, resulting in an increase in VO2peak of 17.5±3.8%. Skeletal muscle biopsies were taken at baseline, and on the morning following (+16 h after exercise) the first, third, seventh, tenth and fourteenth training sessions. Markers of mitochondrial adaptation (Cyt c and COXIV expression, and citrate synthase activity) were increased within the first week of training, but the mtDNA/nDNA ratio was unchanged by two weeks of training. Accumulation of PGC-1α and ERRα protein during training suggests a regulatory role for these factors in adaptations of mitochondrial and metabolic gene expression. A subset of genes were transiently increased after one training session, but returned to baseline levels thereafter, which is supportive of the concept of transcriptional capacity being particularly sensitive to the onset of a new level of contractile activity. Thus, gene-specific temporal patterns of induction of mRNA expression and protein content are described. Our results illustrate the phenomenology of skeletal muscle plasticity and support the notion that transcript level adjustments, coupled to accumulation of encoded protein, underlie the modulation of skeletal muscle metabolism and phenotype by regular exercise.
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“If said exercise stimulus is repeated over time, chronic structural and functional changes occur [2,200].”
From Regulation of Energy Substrate Metabolism in Endurance Exercise (2021) · cites this paper as [200]
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New methods for calculating metabolic rate with special reference to protein metabolism
Weir, J. B. D. V. (1949) · The Journal of Physiology · doi:10.1113/jphysiol.1949.sp004363 · Cited by 5,688
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
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 1×
“Altering the transcriptional activity of PGC-1a affects physiological responses that equip the cell to meet the energy demands of a changing environment, including augmentation of mitochondrial biogenesis, cellular respiration rates and substrate utilization [20].”
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
Self-citationAdaptations of skeletal muscle to endurance exercise and their metabolic consequences
Holloszy, J. O., & Coyle, E. F. (1984) · Journal of Applied Physiology · doi:10.1152/jappl.1984.56.4.831 · Cited by 1,985
Biochemical Adaptations in Muscle
Holloszy, J. O. (1967) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)96046-1 · Cited by 1,517
Biomarkers of mitochondrial content in skeletal muscle of healthy young human subjects
Larsen, S., Nielsen, J., Hansen, C. N., Nielsen, L. B., Wibrand, F., Stride, N., Schroder, H. D., Boushel, R., Helge, J. W., Dela, F., et al. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.230185 · Cited by 1,180 · cited 2×
“Instead CS activity and markers of OXPHOS activity such as complex V protein content are considered more informative [35].”
BackgroundExercise induces transient transcriptional activation of the PGC‐1α gene in human skeletal muscle
Pilegaard, H., Saltin, B., & Neufer, P. D. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2002.034850 · Cited by 885
Reversible Ponceau staining as a loading control alternative to actin in Western blots
Romero-Calvo, I., Ocón, B., Martínez-Moya, P., Suárez, M. D., Zarzuelo, A., Martínez-Augustin, O., & de Medina, F. S. (2010) · Analytical Biochemistry · doi:10.1016/j.ab.2010.02.036 · Cited by 771
Molecular and cellular adaptation of muscle in response to exercise: perspectives of various models
Booth, F. W., & Thomason, D. B. (1991) · Physiological Reviews · doi:10.1152/physrev.1991.71.2.541 · Cited by 703
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Huang, L., Yao, M., Wang, Y., Davie, A. J., & Zhou, S. (2015) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0222 · Cited by 2
Transcriptional profile in rat muscle: down-regulation networks in acute strenuous exercise
Felipe, S. M. D. S., de Freitas, R. M., Penha, E. D. D. S., Pacheco, C., Martins, D. L., Alves, J., Soares, P., Loureiro, A., Lima, T., Silveira, L. R., et al. (2021) · PeerJ · doi:10.7717/peerj.10500 · Cited by 1
Oliveira, P. S., Anjos, M., Flores, A. E., Peixoto, F., Padrão, A. I., & Fonseca, H. (2025) · Journal of Physiology and Biochemistry · doi:10.1007/s13105-025-01079-6 · Cited by 1
Upregulation of HOTTIP and Its Potential Role in Monitoring Exercise Adaptation
Mołoń, A., Podgórska, D., Płonka, A., Bajorek, W., Czarny, W., Król, P., Podgórski, R., & Cieśla, M. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26168086 · Cited by 1
Bidel, H., Jafarpisheh, A. S., Gharari, N., Sabour, S., & Sahlabadi, A. S. (2022) · Iran Occupational Health Journal · doi:10.52547/ioh.19.1.93 · Cited by 1
Metabolic mechanisms of the fat mass and obesity-associated (FTO) gene
Danaher, J. (2016) · Victoria University Research Repository (Victoria University) · Cited by 1
Granata, C., Oliveira, R. S. F., Little, J. P., & Bishop, D. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/580373 · Cited by 1
Physical exercise as a targeted therapy in idiopathic inflammatory myopathies
Munters, L. A. (2013) · Figshare
Edgett, B. A. (2017) · QSpace (Queen's University Library)
Exercise and adipose tissue GLUT4
Opazo, F., & Alejandro, M. (2017) · Minerva Access (University of Melbourne)
Morton, G. A., & Morton, M. L. (2018) · UNM’s Digital Repository (University of New Mexico)
Sælen‐Helgesson, S., Hafstad, A. D., Lund, T., Nymo, I. H., Ciccone, C., Wood, S. H., Folkow, L. P., & Sundset, M. A. (2026) · Physiological Reports · doi:10.14814/phy2.70725
Skeletal muscle toxicity and statins : role of mitochondrial adaptations
Singh, F. (2016) · theses.fr (ABES) · doi:10.70675/362675f3z0a19z46f5z977az009dcec8ed40
Constans, A. (2019) · theses.fr (ABES) · doi:10.70675/93486891z6065z449cz992az7390677dca22
Zhang, J., Morgan, S.-J., Pricop, M., Bannister, K., Pageaux, B., MacInnis, M. J., & Aboodarda, S. J. (2026) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00652.2025
Dominteanu, T., Stan, A. E., & Voinea, A. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27198811
Metadata
- Authors
- Egan, B., O’Connor, P. L., Zierath, J. R., & O’Gorman, D. J.
- Affiliations
- University College Dublin (IE)
- Dublin City University (IE)
- Karolinska Institutet (SE)
- Corresponding author
- O’Gorman, Donal J.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-09-12
- Volume
- 8
- Issue
- 9
- Pages
- e74098
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3771935
- OpenAlex
- W2020255277
- Cited by
- 120
- References
- 61
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 7 · 2023: 11 · 2022: 10 · 2021: 14 · 2020: 7 · 2019: 12 · 2018: 10 · 2017: 8 · 2016: 20 · 2015: 8 · 2014: 5 · 2013: 1
- FWCI
- 26.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Irish Research Council for Science, Engineering and Technology
- Dublin City University
- European Foundation for the Study of Diabetes
- Irish Research Council
- Karolinska Institutet
- Novo Nordisk
- Vetenskapsrådet
- Topics
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Keywords
- aerobic exercise training, skeletal muscle adaptation, temporal gene expression, mRNA expression, protein content, mitochondrial biogenesis, PGC-1α, estrogen-related receptor alpha, citrate synthase, cytochrome c, cytochrome c oxidase subunit IV, mtDNA/nDNA ratio, skeletal muscle plasticity, human skeletal muscle
- MeSH terms
- Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha, Adaptation, Physiological, Adult, Carrier Proteins, Gene Expression Regulation, Humans, Kinetics, Male, Mitochondria, Oxygen Consumption, Time Factors, Transcription Factors, Transcription, Genetic, Biomarkers, Exercise, RNA-Binding Proteins, Muscle, Skeletal, Proteome, Young Adult, Transcriptome
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