The DOI matches its Crossref record; 208 of the 210 references it cites were found in a registry or an index.
Exercise Metabolism and the Molecular Regulation of Skeletal Muscle Adaptation
Open accessAbstract
Preservation of aerobic fitness and skeletal muscle strength through exercise training can ameliorate metabolic dysfunction and prevent chronic disease. These benefits are mediated in part by extensive metabolic and molecular remodeling of skeletal muscle by exercise. Aerobic and resistance exercise represent extremes on the exercise continuum and elicit markedly different training responses that are mediated by a complex interplay between a myriad of signaling pathways coupled to downstream regulators of transcription and translation. Here, we review the metabolic responses and molecular mechanisms that underpin the adaptatation of skeletal muscle to acute exercise and exercise training.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This is principally achieved by an augmentation in mitochondrial volume, FA transport and enzymatic adaptations (e.g., increase hydroacyl-CoA-dehydrogenase) to use fat, and a reduction of cell signals such as ADP and AMP during exercise at submaximal work rates thus reducing the activation of key enzymes (e.g., glycogen phosphorylase and pyruvate dehydrogenase) of carbohydrate metabolism [92,160].”
From Regulation of Energy Substrate Metabolism in Endurance Exercise (2021) · cites this paper as [160]
In the citing paper
“Exercise promotes glucose uptake and glycogen synthesis and increases insulin sensitivity, and this persists long after the cessation of exercise (1, 2).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“The induction of PGC1α (peroxisome proliferator–activated receptor gamma coactivator 1α) after exercise can promote mitochondrial biogenesis by driving the expression of nuclear- and mitochondrial-encoded genes.”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“The enhanced skeletal muscle insulin sensitivity after exercise affords metabolic flexibility and a means for replenishing glycogen to deal with subsequent bouts of intense physical activity (1, 2).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“Exercise results in skeletal muscle exposure to acute stresses that stimulate compensatory and adaptive physiological responses (1, 2).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“These adaptive responses increase tolerance and protect against subsequent stressors and are considered important for the health-promoting effects of exercise (1, 2).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“In particular, PGC1α promotes the expression of NRF (nuclear respiratory factor)–1 and NRF-2, which induce the expression of nuclear-encoded genes, as well as TFAM (mitochondrial transcription factor A), which facilitates mitochondrial DNA transcription and replication (2, 3).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“A fundamental hormetic response to exercise is the induction of mitochondrial biogenesis, which serves to enhance respiratory capacity and endurance (2, 3).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“It is well established that contracting muscle generates ROS and that this is accompanied by increased antioxidant defense orchestrated by NFE2L2 (2, 7, 36).”
From Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance (2021) · cites this paper as [2]
In the citing paper
“These observations confirm the hypothesis that endurance exercise training may affect a specific set of functions (e.g., oxidative metabolism and mitochondrial biogenesis) and overall muscle metabolism [93].”
From Role of Age-Related Mitochondrial Dysfunction in Sarcopenia (2020) · cites this paper as [93]
In the citing paper
“Multiple molecular pathways are activated by exercise and these pathways have been shown to contribute to the adaptive remodelling of skeletal muscle [1,2].”
From New strategies in sport nutrition to increase exercise performance (2016) · cites this paper as [2]
In the citing paper
“These adaptive processes are driven by transcriptional changes in response to each bout of exercise [2,8].”
From New strategies in sport nutrition to increase exercise performance (2016) · cites this paper as [2]
In the citing paper
“The transcriptional changes accumulate over time such that the protein expression profile of muscle is changed resulting in an altered phenotype [2,8].”
From New strategies in sport nutrition to increase exercise performance (2016) · cites this paper as [2]
In the citing paper
“Whilst endurance exercise adaptations are believed to be driven primarily by transcriptional responses [2,8], the muscle growth adaptation to resistance exercise is driven primarily by changes in translation, in particular by increases in mRNA activity (protein produced per unit of mRNA) [85][86][87].”
From New strategies in sport nutrition to increase exercise performance (2016) · cites this paper as [2]
In the citing paper
“It is a key factor in metabolism of all major biomolecules (lipids, carbohydrates, amino acids) as well as ATP synthesis by the electron transport chain [164, 165]”
From Targeting Intramyocellular Lipids to Improve Aging Muscle Function (2025) · cites this paper as [165]
In the citing paper
“A higher mitochondrial volume density and improved mitochondrial quality can be seen as consequences of chronic activation of AMPK and expression induction of PGC1α, myocyte-specific enhancer factor 2 (MEF2), NRF-1 and NRF-2, and nuclear expulsion of histone deacetylase 4 and 5 (41, 222, 224).”
From Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease (2018) · cites this paper as [222]
In the citing paper
“Additionally, PGC1α is expressed upon muscle contraction-induced activation of p38 MAPK (222).”
From Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease (2018) · cites this paper as [222]
In the citing paper
“Both promote considerable health benefits such as increased mitochondrial content and improvements in glycemic control (222).”
From Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease (2018) · cites this paper as [222]
In the citing paper
“Acute AMPK activation reduces glycogen and protein synthesis while promoting glucose transport and FAO (222).”
From Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease (2018) · cites this paper as [222]
In the citing paper
“Because exercise and ApN share similar signaling pathways [75,76] and the potential of counteracting several facets of this metabolic syndrome, numerous studies attempted to establish relationships between exercise and ApN parameters.”
From Adiponectin and Its Mimics on Skeletal Muscle: Insulin Sensitizers, Fat Burners, Exercise Mimickers, Muscling Pills … or Everything Together? (2020) · cites this paper as [76]
Citations
Cites
2 retracted
Safdar, A., Little, J. P., Stokl, A., Hettinga, B. P., Akhtar, M., & Tarnopolsky, M. A. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.211466 · Cited by 321
RetractedSafdar, A., Bourgeois, J. M., Ogborn, D. I., Little, J. P., Hettinga, B. P., Akhtar, M., Thompson, J. E., Melov, S., Mocellin, N. J., Kujoth, G. C., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019581108 · Cited by 320
RetractedReduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · cited 4×
“In fact, regular exercise combined with dietary intervention is more successful than pharmacological intervention in the treatment and prevention of T2DM (Knowler et al., 2002) and sarcopenia (Borst, 2004).”
BackgroundInfluentialThe functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
Global physical activity levels: surveillance progress, pitfalls, and prospects
Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., & Ekelund, U. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60646-1 · Cited by 5,711
The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
Maxwell, P. H., Wiesener, M. S., Chang, G.-W., Clifford, S. C., Vaux, E. C., Cockman, M. E., Wykoff, C. C., Pugh, C. W., Maher, E. R., & Ratcliffe, P. J. (1999) · Nature · doi:10.1038/20459 · Cited by 5,180
A 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
HASKELL, W. L., LEE, I.-M., PATE, R. R., POWELL, K. E., BLAIR, S. N., FRANKLIN, B. A., MACERA, C. A., HEATH, G. W., THOMPSON, P. D., & BAUMAN, A. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616b27 · Cited by 4,616
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
Lagouge, M., Argmann, C., Gerhart-Hines, Z., Meziane, H., Lerin, C., Daussin, F., Messadeq, N., Milne, J., Lambert, P., Elliott, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.11.013 · Cited by 4,057
Flagged first, then by citations
2 of the 210 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 1,002
Rönn, T., Volkov, P., Tornberg, Å. B., Elgzyri, T., Hansson, O., Eriksson, K., Groop, P., & Ling, C. (2014) · Acta Physiologica · doi:10.1111/apha.12247 · Cited by 70
Zhang, Y., Uguccioni, G., Ljubicic, V., Irrcher, I., Iqbal, S., Singh, K., Ding, S., & Hood, D. A. (2014) · Physiological Reports · doi:10.14814/phy2.12008 · Cited by 70
Miyamoto, T., Kamada, H., Tamaki, A., & Moritani, T. (2016) · European Journal of Sport Science · doi:10.1080/17461391.2016.1151944 · Cited by 68
Catechins enhance skeletal muscle performance
Li, P., Liu, A., Xiong, W., Lin, H., Xiao, W., Huang, J., Zhang, S., & Liu, Z. (2019) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1549534 · Cited by 67
Myalgic encephalomyelitis or chronic fatigue syndrome: how could the illness develop?
Morris, G., Maes, M. H. J., Berk, M., & Puri, B. K. (2019) · Metabolic Brain Disease · doi:10.1007/s11011-019-0388-6 · Cited by 70
Factors mediating exercise‐induced organ crosstalk
Sabaratnam, R., Wojtaszewski, J. F. P., & Højlund, K. (2022) · Acta Physiologica · doi:10.1111/apha.13766 · Cited by 70
Cullen, J. M. A., Shahzad, S., & Dhillon, J. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1292673 · Cited by 76
Lindholm, M. E., Giacomello, S., Solnestam, B. W., Fischer, H., Huss, M., Kjellqvist, S., & Sundberg, C. J. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006294 · Cited by 67
Stawski, R. S., Walczak, K., Kosielski, P., Meissner, P., Budlewski, T., Padula, G., & Nowak, D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178216 · Cited by 67
Ogasawara, R., & Suginohara, T. (2018) · The FASEB Journal · doi:10.1096/fj.201701422r · Cited by 66
Mitochondrial health, the epigenome and healthspan
Aon, M. A., Cortassa, S., Juhaszova, M., & Sollott, S. J. (2016) · Clinical Science · doi:10.1042/cs20160002 · Cited by 66
Rothschild, J. A., Kilding, A. E., & Plews, D. J. (2020) · Nutrients · doi:10.3390/nu12113473 · Cited by 74
Pillon, N. J., Smith, J. A. B., Alm, P. S., Chibalin, A., Alhusen, J. A., Arner, E., Carninci, P., Fritz, T., Otten, J., Olsson, T., et al. (2022) · Science Advances · doi:10.1126/sciadv.abo3192 · Cited by 64
Self-citationEndogenous and Exogenous Antioxidants in Skeletal Muscle Fatigue Development during Exercise
Supruniuk, E., Górski, J., & Chabowski, A. (2023) · Antioxidants · doi:10.3390/antiox12020501 · Cited by 72
Crooks, D. R., Natarajan, T. G., Jeong, S. Y., Chen, C., Park, S. Y., Huang, H., Ghosh, M. C., Tong, W.-H., Haller, R. G., Wu, C. H., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt393 · Cited by 65
The Effects of Acute and Chronic Exercise on Skeletal Muscle Proteome
Petriz, B. A., Gomes, C. P. C., de Almeida, J. A., de Oliveira, G. P., Ribeiro, F. M., Pereira, R. W., & Franco, O. L. (2016) · Journal of Cellular Physiology · doi:10.1002/jcp.25477 · Cited by 72
Crowley, E. K., Nolan, Y. M., & Sullivan, A. M. (2018) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2018.11.003 · Cited by 72
Hjorth, M., Norheim, F., Meen, A. J., Pourteymour, S., Lee-Ødegård, S., Holen, T., Jensen, J., Birkeland, K. I., Martinov, V. N., Langleite, T. M., et al. (2015) · Physiological Reports · doi:10.14814/phy2.12473 · Cited by 73
Hyzewicz, J., Rüegg, U. T., & Takeda, S. (2015) · Journal of Neuromuscular Diseases · doi:10.3233/jnd-150106 · Cited by 64
Eccentric contraction-induced myofiber growth in tumor-bearing mice
Hardee, J. P., Mangum, J. E., Gao, S., Sato, S., Hetzler, K. L., Puppa, M., Fix, D. K., & Carson, J. A. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00416.2015 · Cited by 68
Nox4 mediates skeletal muscle metabolic responses to exercise
Specht, K. S., Kant, S., Addington, A. K., McMillan, R. P., Hulver, M. W., Learnard, H., Campbell, M., Donnelly, S. R., Caliz, A. D., Pei, Y., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2020.101160 · Cited by 64
Metabolic regulation of exercise-induced angiogenesis
Gorski, T., & Bock, K. D. (2019) · Vascular Biology · doi:10.1530/vb-19-0008 · Cited by 64
Henríquez‐Olguín, C., Meneses‐Valdés, R., & Jensen, T. E. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101473 · Cited by 67
Muscle microvasculature's structural and functional specializations facilitate muscle metabolism
Kusters, Y. H. A. M., & Barrett, E. J. (2015) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00443.2015 · Cited by 66
Casla, S., Højman, P., Márquez‐Rodas, I., López‐Tarruella, S., Jerez, Y., Barakat, R., & Martín, M. (2014) · Clinical & Translational Oncology · doi:10.1007/s12094-014-1184-8 · Cited by 70
Pugh, J. K., Faulkner, S. H., Jackson, A. P., King, J. A., & Nimmo, M. A. (2015) · Physiological Reports · doi:10.14814/phy2.12364 · Cited by 63
Bell, M. B., Bush, Z., McGinnis, G. R., & Rowe, G. C. (2019) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00719.2018 · Cited by 62
Burtscher, J., Burtscher, M., & Millet, G. P. (2021) · Redox Biology · doi:10.1016/j.redox.2021.101976 · Cited by 67
Perry, M.-C., Dufour, C. R., Tam, I. S., B'Chir, W., & Giguère, V. (2014) · Molecular Endocrinology · doi:10.1210/me.2014-1281 · Cited by 63
Transcriptome profiling in fast versus slow-growing rainbow trout across seasonal gradients
Danzmann, R. G., Kocmarek, A. L., Norman, J. D., Rexroad, C. E., & Palti, Y. (2016) · BMC Genomics · doi:10.1186/s12864-016-2363-5 · Cited by 65
Fueling Performance: Ketones Enter the Mix
Egan, B., & D’Agostino, D. P. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.021 · Cited by 64
Self-citationHostrup, M., Reitelseder, S., Jessen, S., Kalsen, A., Nyberg, M., Egelund, J., Kreiberg, M., Kristensen, C. M., Thomassen, M., Pilegaard, H., et al. (2018) · The Journal of Physiology · doi:10.1113/jp275560 · Cited by 63
Miyamoto‐Mikami, E., Tsuji, K., Horii, N., Hasegawa, N., Fujie, S. J., Homma, T., Uchida, M., Hamaoka, T., Kanehisa, H., Tabata, I., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-35115-x · Cited by 66
McCullough, D., Webb, R., Enright, K. J., Lane, K. E., McVeigh, J., Stewart, C. E., & Davies, I. G. (2021) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-020-09616-y · Cited by 62
Endurance exercise training-responsive miR-19b-3p improves skeletal muscle glucose metabolism
Massart, J., Sjögren, R. J. O., Egan, B., Garde, C., Lindgren, M., Gu, W., Ferreira, D. M. S., Katayama, M., Ruas, J. L., Barrès, R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26095-0 · Cited by 64
Self-citationInactivation of glycogen synthase kinase-3β (GSK-3β) enhances skeletal muscle oxidative metabolism
Theeuwes, W. F., Gosker, H. R., LANGEN, R. C. J., Verhees, K. J. P., Pansters, N., Schols, A. M. W. J., & Remels, A. H. V. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.09.018 · Cited by 63
Metabolic and molecular framework for the enhancement of endurance by intermittent food deprivation
Marosi, K., Moehl, K., Navas‐Enamorado, I., Mitchell, S. J., Zhang, Y., Lehrmann, E., Aon, M. A., Cortassa, S. C., Becker, K. G., & Mattson, M. P. (2018) · The FASEB Journal · doi:10.1096/fj.201701378rr · Cited by 62
Ben‐Zvi, D., Meoli, L., Abidi, W. M., Nestoridi, E., Panciotti, C., Castillo, E., Pizarro, P., Shirley, E., GOURASH, W. F., Thompson, C. C., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.06.004 · Cited by 64
Islam, H., Hood, D. A., & Gurd, B. J. (2019) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2019-0069 · Cited by 65
Ozaki, Y., Ohashi, K., Otaka, N., Kawanishi, H., Takikawa, T., Fang, L., Takahara, K., Tatsumi, M., Ishihama, S., Takefuji, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40435-2 · Cited by 63
The sedentary (r)evolution: Have we lost our metabolic flexibility?
Freese, J., Klement, R. J., Ruiz-Núñez, B., Schwarz, S., & Lötzerich, H. (2017) · F1000Research · doi:10.12688/f1000research.12724.2 · Cited by 76
Redox Characterization of Functioning Skeletal Muscle
Zuo, L., & Pannell, B. K. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2015.00338 · Cited by 60
Acosta‐Manzano, P., Rodriguez‐Ayllon, M., Acosta, F. M., Niederseer, D., & Niebauer, J. (2020) · Obesity Reviews · doi:10.1111/obr.13007 · Cited by 59
Effects of Dietary Supplements on Adaptations to Endurance Training
Rothschild, J. A., & Bishop, D. J. (2019) · Sports Medicine · doi:10.1007/s40279-019-01185-8 · Cited by 64
Casado, A., Foster, C., Bakken, M., & Tjelta, L. I. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20053782 · Cited by 66
Redox homeostasis in sport: do athletes really need antioxidant support?
Antonioni, A., Fantini, C., Dimauro, I., & Caporossi, D. (2018) · Research in Sports Medicine · doi:10.1080/15438627.2018.1563899 · Cited by 60
Pinho, R. A., Aguiar, A. S., & Radak, Z. O. (2019) · Antioxidants · doi:10.3390/antiox8110529 · Cited by 63
Lavin, K. M., Coen, P. M., Baptista, L. C. P., Bell, M. B., Drummer, D. J., Harper, S. A., Lixandrão, M. E., McAdam, J. S., O’Bryan, S. M., Ramos, S. V., et al. (2022) · Comprehensive physiology · doi:10.1002/cphy.c200033 · Cited by 78
Hepatokines—A novel group of exercise factors
Weigert, C., Hoene, M., & Plomgaard, P. (2019) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-018-2216-y · Cited by 57
Dynamic enhancers control skeletal muscle identity and reprogramming
Ramachandran, K., Senagolage, M. D., Sommars, M. A., Futtner, C. R., Omura, Y., Allred, A. L., & Barish, G. D. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000467 · Cited by 61
Looking Ahead Perspective: Where Will the Future of Exercise Biology Take Us?
Zierath, J. R., & Wallberg‐Henriksson, H. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.06.015 · Cited by 59
Self-citationExercise and Regulation of Lipid Metabolism
Noland, R. C. (2015) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2015.06.017 · Cited by 63
The role and therapeutic potential of stem cells in skeletal muscle in sarcopenia
Cai, Z., Liu, D., Yang, Y., Xie, W., He, M., Yu, D., Wu, Y., Wang, X., Xiao, W., & Li, Y. (2022) · Stem Cell Research & Therapy · doi:10.1186/s13287-022-02706-5 · Cited by 58
Southern, W. M., Nichenko, A. S., Tehrani, K. F., McGranahan, M. J., Krishnan, L., Qualls, A., Jenkins, N. T., Mortensen, L. J., Yin, H., Yin, A., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-40606-6 · Cited by 61
Voluntary Exercise Prevents Cisplatin-Induced Muscle Wasting during Chemotherapy in Mice
Højman, P., Fjelbye, J., Zerahn, B., Christensen, J. F., Dethlefsen, C., Lønkvist, C. K., Brandt, C., Gissel, H., Pedersen, B. K., & Gehl, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109030 · Cited by 58
Nutritional strategies to support concurrent training
Pérez‐Schindler, J., Hamilton, D. L., Moore, D. R., Baar, K., & Philp, A. (2014) · European Journal of Sport Science · doi:10.1080/17461391.2014.950345 · Cited by 63
Matsukawa, T., Motojima, H., Sato, Y., Takahashi, S., Villareal, M. O., & Isoda, H. (2017) · Scientific Reports · doi:10.1038/srep44799 · Cited by 60
Li, Y., Yao, M.-C., Zhou, Q., Cheng, Y., Che, L., Xu, J., Xiao, J., Shen, Z., & Bei, Y. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00282 · Cited by 62
Broatch, J. R., Petersen, A. C., & Bishop, D. J. (2018) · Sports Medicine · doi:10.1007/s40279-018-0910-8 · Cited by 70
Ribosome biogenesis in skeletal muscle: coordination of transcription and translation
von Walden, F. (2019) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00963.2018 · Cited by 55
Morelli, C., Avolio, E., Galluccio, A., Caparello, G., Manes, E., Ferraro, S., Rose, D. D., Santoro, M., Barone, I., Catalano, S., et al. (2020) · Nutrients · doi:10.3390/nu12030742 · Cited by 62
A systematic review of the biological mechanisms linking physical activity and breast cancer
Hong, B. S., & Lee, K. P. (2020) · Physical Activity and Nutrition · doi:10.20463/pan.2020.0018 · Cited by 63
Gα12/13 signaling in metabolic diseases
Yang, Y. M., Kuen, D., Chung, Y., Kurose, H., & Kim, S. G. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0454-5 · Cited by 57
Intertwined Relationship of Mitochondrial Metabolism, Gut Microbiome and Exercise Potential
Imdad, S., Lim, W., Kim, J., & Kang, C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052679 · Cited by 60
Hénique, C., Mansouri, A., Vavrova, E., Lenoir, V., Ferry, A., Esnous, C., Ramond, E., Girard, J. R., Bouillaud, F., Prip‐Buus, C., et al. (2015) · The FASEB Journal · doi:10.1096/fj.14-257717 · Cited by 58
Kruppel-like factors in muscle health and disease
Prosdocimo, D. A., Sabeh, M. K., & Jain, M. K. (2014) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2014.11.006 · Cited by 55
The Importance of Biophysical and Biochemical Stimuli in Dynamic Skeletal Muscle Models
Maleiner, B., Tomasch, J., Heher, P., Oliver Spadiut, A., Rünzler, D., & Fuchs, C. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01130 · Cited by 60
Regulation of glucose uptake and inflammation markers by FOXO1 and FOXO3 in skeletal muscle
Lundell, L. S., Massart, J., Altıntaş, A., Krook, A., & Zierath, J. R. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2018.09.011 · Cited by 57
Self-citationLiu, Y., Merrill, R. A., & Strack, S. (2020) · Cells · doi:10.3390/cells9020298 · Cited by 59
Myokines and Osteokines in the Pathogenesis of Muscle and Bone Diseases
Colaianni, G., Storlino, G., Sanesi, L., Colucci, S. C., & Grano, M. (2020) · Current Osteoporosis Reports · doi:10.1007/s11914-020-00600-8 · Cited by 65
Metabolic roles of G protein‐coupled receptor signaling in obesity and type 2 diabetes
Barella, L. F., Jain, S., Kimura, T., & Pydi, S. P. (2021) · FEBS Journal · doi:10.1111/febs.15800 · Cited by 61
Dollet, L., & Zierath, J. R. (2019) · The Journal of Physiology · doi:10.1113/jp276488 · Cited by 56
Self-citationExercise and Glycemic Control: Focus on Redox Homeostasis and Redox-Sensitive Protein Signaling
Parker, L., Shaw, C. S., Stepto, N. K., & Levinger, I. (2017) · Frontiers in Endocrinology · doi:10.3389/fendo.2017.00087 · Cited by 55
Hyperglycaemia is associated with impaired muscle signalling and aerobic adaptation to exercise
MacDonald, T. L., Pattamaprapanont, P., Pathak, P., Fernandez, N., de Freitas, E. C., Hafida, S., Mitri, J., Britton, S. L., Koch, L. G., & Lessard, S. J. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0240-7 · Cited by 56
Meteorin-like protein (Metrnl): A metabolic syndrome biomarker and an exercise mediator
Alizadeh, H. (2022) · Cytokine · doi:10.1016/j.cyto.2022.155952 · Cited by 56
Molecular aspects of the exercise response and training adaptation in skeletal muscle
Furrer, R., & Handschin, C. (2024) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2024.07.026 · Cited by 68
ATGL-mediated triglyceride turnover and the regulation of mitochondrial capacity in skeletal muscle
Meex, R. C. R., Hoy, A. J., Mason, R. R., Martin, S. D., McGee, S. L., Bruce, C. R., & Watt, M. J. (2015) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00598.2014 · Cited by 54
Exercise-associated glucose metabolism in individuals with type 1 diabetes mellitus
Bally, L., Laimer, M. W., & Stettler, C. (2015) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000185 · Cited by 54
Carter, S., & Solomon, T. P. J. (2018) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-018-2210-4 · Cited by 58
Bostancı, Ö., Mayda, H., Yılmaz, C., Kabadayı, M., Yılmaz, A. K., & Özdal, M. (2019) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2019.04.001 · Cited by 54
Exercise and the Skeletal Muscle EpigenomePreprint
McGee, S. L., & Walder, K. R. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a029876 · Cited by 56
Resistance Exercise, Aging, Disuse, and Muscle Protein Metabolism
McKendry, J., Stokes, T., Mcleod, J. C., & Phillips, S. M. (2021) · Comprehensive physiology · doi:10.1002/cphy.c200029 · Cited by 78
Sleep and Wellbeing, Now and in the Future
Chow, C. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17082883 · Cited by 55
Exercise, Physical Activity, and Cardiometabolic Health
Belanger, M. J., Rao, P., & Robbins, J. (2021) · Cardiology in Review · doi:10.1097/crd.0000000000000417 · Cited by 64
Roberts, F. L., & Markby, G. R. (2021) · Cells · doi:10.3390/cells10102639 · Cited by 54
Cao, J., Yao, D., Li, R., Guo, X., Hao, J., Xie, M., Li, J., Pan, D., Luo, X., Yu, Z., et al. (2021) · Neuroscience Bulletin · doi:10.1007/s12264-021-00772-y · Cited by 54
Robbins, J., Rao, P., Deng, S., Keyes, M. J., Tahir, U. A., Katz, D. H., Beltran, P. M. J., Marchildon, F., Barber, J. L., Peterson, B. D., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.165867 · Cited by 51
Aguer, C., Fiehn, O., Seifert, E. L., Bézaire, V., Meissen, J. K., Daniels, A., Scott, K., Renaud, J., Padilla, M., Bickel, D. R., et al. (2013) · The FASEB Journal · doi:10.1096/fj.13-234302 · Cited by 55
Linking Cancer Cachexia‐Induced Anabolic Resistance to Skeletal Muscle Oxidative Metabolism
Hardee, J. P., Montalvo, R. N., & Carson, J. A. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/8018197 · Cited by 53
Exercise, Arterial Stiffness, and Cerebral Vascular Function: Potential Impact on Brain Health
Barnes, J. N., Pearson, A. G., Corkery, A. T., Eisenmann, N. A., & Miller, K. B. (2021) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617721000394 · Cited by 54
Sex differences in endurance exercise capacity and skeletal muscle lipid metabolism in mice
Holcomb, L. E., Rowe, P., O’Neill, C. C., DeWitt, E. A., & Kolwicz, S. C. (2022) · Physiological Reports · doi:10.14814/phy2.15174 · Cited by 49
Brightwell, C. R., Latham, C. M., Thomas, N. T., Keeble, A. R., Murach, K. A., & Fry, C. S. (2022) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00200.2022 · Cited by 52
AMPK as a mediator of tissue preservation: time for a shift in dogma?
Langer, H. T., Rohm, M., Goncalves, M. D., & Sylow, L. (2024) · Nature Reviews Endocrinology · doi:10.1038/s41574-024-00992-y · Cited by 55
Mitochondria break free: Mitochondria-derived vesicles in aging and associated conditions
Ferrucci, L., Guerra, F., Bucci, C., Marzetti, E., & Picca, A. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102549 · Cited by 58
McGee, S. L., Swinton, C., Morrison, S., Gaur, V., Campbell, D. E., Jørgensen, S. B., Kemp, B. E., Baar, K., Steinberg, G. R., & Hargreaves, M. (2014) · The FASEB Journal · doi:10.1096/fj.14-249359 · Cited by 52
Kidney triglyceride accumulation in the fasted mouse is dependent upon serum free fatty acids
Scerbo, D. A., Son, N.-H., Sirwi, A., Zeng, L., Sas, K. M., Cifarelli, V., Schoiswohl, G., Huggins, L.-A., Gumaste, N., Hu, Y., et al. (2017) · Journal of Lipid Research · doi:10.1194/jlr.m074427 · Cited by 53
Evans, M., Patchett, E., Nally, R., Kearns, R., Larney, M., & Egan, B. (2018) · European Journal of Sport Science · doi:10.1080/17461391.2017.1421711 · Cited by 57
Self-citationNURR1 activation in skeletal muscle controls systemic energy homeostasis
Amoasii, L., Sanchez‐Ortiz, E., Fujikawa, T., Elmquist, J. K., Bassel‐Duby, R., & Olson, E. N. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902490116 · Cited by 50
del Campo-Cervantes, J. M., Cervantes, M. H. M., & Monroy‐Torres, R. (2019) · The journal of nutrition health & aging · doi:10.1007/s12603-019-1261-3 · Cited by 59
Exercise twice‐a‐day potentiates markers of mitochondrial biogenesis in men
Andrade‐Souza, V. A., Ghiarone, T., Sansonio, A., Silva, K. A. S., Tomazini, F., Arcoverde, L., Fyfe, J. J., Perri, E., Saner, N. J., Kuang, J., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201901207rr · Cited by 53
Metadata
- Authors
- Egan, B., & Zierath, J. R.
- Affiliations
- University College Dublin (IE)
- University of Copenhagen (DK)
- Corresponding author
- Zierath, Juleen R.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 17
- Issue
- 2
- Pages
- 162-184
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W1995381409
- Semantic Scholar
- 735dcdabdb4efc5dec9569db8f5a316859b70bd6
- Cited by
- 2,084
- References
- 210
- Citations by year
- 2026: 157 · 2025: 168 · 2024: 162 · 2023: 190 · 2022: 209 · 2021: 204 · 2020: 198 · 2019: 189 · 2018: 151 · 2017: 145 · 2016: 122 · 2015: 103 · 2014: 63 · 2013: 21
- FWCI
- 9.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 369 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Vetenskapsrådet
- University College Dublin
- Novo Nordisk Fonden
- Karolinska Institutet
- European Research Council
- Knut och Alice Wallenbergs Stiftelse
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
- Keywords
- exercise metabolism, skeletal muscle adaptation, exercise training, aerobic exercise, resistance training, acute exercise, metabolic remodeling, signaling pathways, transcriptional regulation, translational regulation, muscle strength, cardiorespiratory fitness, chronic disease prevention
- MeSH terms
- Adaptation, Physiological, Humans, Hypertrophy, Muscle Contraction, Signal Transduction, Exercise, Muscle, Skeletal
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
