Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
Open accessPublished version of a preprint
Abstract
The molecular mechanisms underlying the response to exercise and inactivity are not fully understood. We propose an innovative approach to profile the skeletal muscle transcriptome to exercise and inactivity using 66 published datasets. Data collected from human studies of aerobic and resistance exercise, including acute and chronic exercise training, were integrated using meta-analysis methods ( www.metamex.eu ). Here we use gene ontology and pathway analyses to reveal selective pathways activated by inactivity, aerobic versus resistance and acute versus chronic exercise training. We identify NR4A3 as one of the most exercise- and inactivity-responsive genes, and establish a role for this nuclear receptor in mediating the metabolic responses to exercise-like stimuli in vitro. The meta-analysis (MetaMEx) also highlights the differential response to exercise in individuals with metabolic impairments. MetaMEx provides the most extensive dataset of skeletal muscle transcriptional responses to different modes of exercise and an online interface to readily interrogate the database.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
After resistance exercise, myostatin expression significantly decreases in human skeletal muscle.
“After resistance exercise, myostatin expression significantly decreases in human skeletal muscle (meta-analysis of human biopsy studies, [191]).”
From Effects of Skeletal Muscle Hypertrophy on Fat Mass and Glucose Homeostasis in Humans and Animals: A Narrative Review with Systematic Literature Search (2025) · cites this paper as [191]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
Conducting Meta-Analyses in <i>R</i> with the <b>metafor</b> Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464 · see citing works
Lack of Exercise Is a Major Cause of Chronic Diseases
Booth, F. W., Roberts, C. K., & Laye, M. J. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c110025 · Cited by 2,575 · see citing works
Exercise 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 · see citing works
Self-citationBoulé, N. G., Haddad, E., Kenny, G. P., Wells, G. A., & Sigal, R. J. (2001) · JAMA · doi:10.1001/jama.286.10.1218 · Cited by 1,889 · see citing works
Wilmot, E. G., Edwardson, C. L., Achana, F. A., Davies, M. J., Gorely, T., Gray, L. J., Khunti, K., Yates, T., & Biddle, S. J. H. (2012) · Diabetologia · doi:10.1007/s00125-012-2677-z · Cited by 1,789 · see citing works
A framework for oligonucleotide microarray preprocessing
Carvalho, B. S., & Irizarry, R. A. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq431 · Cited by 1,554 · see citing works
AMPK: Sensing Glucose as well as Cellular Energy Status
Lin, S., & Hardie, D. G. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.10.009 · Cited by 1,177 · see citing works
The role of exercise and PGC1α in inflammation and chronic disease
Handschin, C., & Spiegelman, B. M. (2008) · Nature · doi:10.1038/nature07206 · Cited by 1,083 · see citing works
Metabolic Flexibility in Health and Disease
Goodpaster, B. H., & Sparks, L. M. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.015 · Cited by 995 · see citing works
Muscle damage and inflammation during recovery from exercise.
Peake, J., Neubauer, O., Gatta, P. D. D., & Nosaka, K. (2016) · Journal of applied physiology · doi:10.1152/japplphysiol.00971.2016 · Cited by 740 · see citing works
Endurance Exercise as a Countermeasure for Aging
Lanza, I. R., Short, D. K., Short, K. R., Raghavakaimal, S., Basu, R., Joyner, M. J., McConnell, J. P., & Nair, K. S. (2008) · Diabetes · doi:10.2337/db08-0349 · Cited by 582 · see citing works
Robinson, M. M., Dasari, S., Konopka, A. R., Johnson, M. L., Manjunatha, S., Esponda, R. R., Carter, R. E., Lanza, I. R., & Nair, K. S. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.009 · Cited by 539 · see citing works
Exercise Promotes Healthy Aging of Skeletal Muscle
Cartee, G. D., Hepple, R. T., Bamman, M. M., & Zierath, J. R. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.007 · Cited by 483 · see citing works
Self-citationUnderstanding the Cellular and Molecular Mechanisms of Physical Activity-Induced Health Benefits
Neufer, P. D., Bamman, M. M., Muoio, D. M., Bouchard, C., Cooper, D. M., Goodpaster, B. H., Booth, F. W., Kohrt, W. M., Gerszten, R. E., Mattson, M. P., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.05.011 · Cited by 474 · see citing works
Analysis of global mRNA expression in human skeletal muscle during recovery from endurance exercise
Mahoney, D. J., Parise, G., Melov, S., Safdar, A., & Tarnopolsky, M. A. (2005) · The FASEB Journal · doi:10.1096/fj.04-3149fje · Cited by 418 · see citing works
Circadian rhythms and exercise — re-setting the clock in metabolic disease
Gabriel, B. M., & Zierath, J. R. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0150-x · Cited by 382 · see citing works
Self-citationResistance Exercise Reverses Aging in Human Skeletal Muscle
Melov, S., Tarnopolsky, M. A., Beckman, K. B., Felkey, K., & Hubbard, A. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000465 · Cited by 344 · see citing works
Massage Therapy Attenuates Inflammatory Signaling After Exercise-Induced Muscle Damage
Crane, J. D., Ogborn, D. I., Cupido, C., Melov, S., Hubbard, A., Bourgeois, J. M., & Tarnopolsky, M. A. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3002882 · Cited by 339 · see citing works
van der Berg, J. D., Stehouwer, C. D. A., Bosma, H., van der Velde, J. H. P. M., Willems, P. J. B., Savelberg, H. H. C. M., Schram, M. T., Sep, S. J. S., van der Kallen, C. J. H., Henry, R. M. A., et al. (2016) · Diabetologia · doi:10.1007/s00125-015-3861-8 · Cited by 299 · see citing works
A transcriptional map of the impact of endurance exercise training on skeletal muscle phenotype
Keller, P., Vollaard, N. B. J., Gustafsson, T., Gallagher, I. J., Sundberg, C. J., Rankinen, T., Britton, S. L., Bouchard, C., Koch, L. G., & Timmons, J. A. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00634.2010 · Cited by 261 · see citing works
Leiomodin Is an Actin Filament Nucleator in Muscle Cells
Chéreau, D., Boczkowska, M., Skwarek‐Maruszewska, A., Fujiwara, I., Hayes, D., Rębowski, G., Lappalainen, P., Pollard, T. D., & Domínguez, R. (2008) · Science · doi:10.1126/science.1155313 · Cited by 260 · see citing works
Raue, U., Trappe, T. A., Estrem, S. T., Qian, H.-R., Helvering, L. M., Smith, R. C., & Trappe, S. W. (2012) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00435.2011 · Cited by 260 · see citing works
Time- and exercise-dependent gene regulation in human skeletal muscle
Zambon, A. C., McDearmon, E. L., Salomonis, N., Vranizan, K. M., Johansen, K. L., Adey, D., Takahashi, J. S., Schambelan, M., & Conklin, B. R. (2003) · Genome Biology · doi:10.1186/gb-2003-4-10-r61 · Cited by 254 · see citing works
Alibegovic, A. C., Sonne, M. P., Højbjerre, L., Bork-Jensen, J., Jacobsen, S., Nilsson, E., Færch, K., Hiscock, N., Mortensen, B., Friedrichsen, M., et al. (2010) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00590.2009 · Cited by 247 · see citing works
Aberrant mitochondrial homeostasis in the skeletal muscle of sedentary older adults
Safdar, A., Hamadeh, M. J., Kaczor, J. J., Raha, S., deBeer, J., & Tarnopolsky, M. A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010778 · Cited by 217 · see citing works
Granata, C., Oliveira, R. S. F., Little, J. P., Renner, K., & Bishop, D. J. (2016) · The FASEB Journal · doi:10.1096/fj.15-276907 · Cited by 215 · see citing works
Self-citationExpression and function of myostatin in obesity, diabetes, and exercise adaptation
ALLEN, D. L., HITTEL, D. S., & MCPHERRON, A. C. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182178bb4 · Cited by 207 · see citing works
Molecular Networks of Human Muscle Adaptation to Exercise and Age
Phillips, B. E., Williams, J. P., Gustafsson, T., Bouchard, C., Rankinen, T., Knudsen, S., Smith, K., Timmons, J. A., & Atherton, P. J. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003389 · Cited by 199 · see citing works
Natriuretic peptides enhance the oxidative capacity of human skeletal muscle
Engeli, S., Birkenfeld, A. L., Badin, P.-M., Bourlier, V., Louche, K., Viguerie, N., Thalamas, C., Montastier, É., Larrouy, D., Harant, I., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci64526 · Cited by 197 · see citing works
Abadi, A., Glover, E. I., Isfort, R. J., Raha, S., Safdar, A., Yasuda, N., Kaczor, J. J., Melov, S., Hubbard, A., Qu, X., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006518 · Cited by 189 · see citing works
The Limits of Exercise Physiology: From Performance to Health
Gabriel, B. M., & Zierath, J. R. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.018 · Cited by 188 · see citing works
Self-citationSharples, A. P., Stewart, C. E., & Seaborne, R. A. (2016) · Aging Cell · doi:10.1111/acel.12486 · Cited by 180 · see citing works
Identification of human exercise-induced myokines using secretome analysis
Catoire, M., Mensink, M., Kalkhoven, E., Schrauwen, P., & Kersten, S. (2014) · Physiological Genomics · doi:10.1152/physiolgenomics.00174.2013 · Cited by 179 · see citing works
Dempsey, P. C., Owen, N. G., Yates, T. E., Kingwell, B. A., & Dunstan, D. W. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0797-4 · Cited by 160 · see citing works
Huffman, K. M., Koves, T. R., Hubal, M. J., AbouAssi, H., Beri, N., Bateman, L. A., Stevens, R. D., Ilkayeva, O., Hoffman, E. P., Muoio, D. M., et al. (2014) · Diabetologia · doi:10.1007/s00125-014-3343-4 · Cited by 151 · see citing works
Granata, C., Oliveira, R. S. F., Little, J. P., Renner, K., & Bishop, D. J. (2016) · The FASEB Journal · doi:10.1096/fj.201500100r · Cited by 135 · see citing works
Self-citationGene expression profiling in human skeletal muscle during recovery from eccentric exercise
Mahoney, D. J., Safdar, A., Parise, G., Melov, S., Fu, M., MacNeil, L., Kaczor, J. J., Payne, E. T., & Tarnopolsky, M. A. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00847.2007 · Cited by 123 · see citing works
Rimbert, V., Boirie, Y., Bedu, M., Hocquette, J.-F. J.-F., Ritz, P., & Morio, B. (2004) · The FASEB Journal · doi:10.1096/fj.03-1104fje · Cited by 123 · see citing works
Skeletal muscle gene expression in response to resistance exercise: sex specific regulation
Liu, D., Sartor, M. A., Nader, G. A., Gutmann, L., Treutelaar, M. K., Pistilli, E. E., IglayReger, H. B., Burant, C. F., Hoffman, E. P., & Gordon, P. M. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-659 · Cited by 122 · see citing works
Kostek, M. C., Chen, Y., Cuthbertson, D. J., Shi, R., Fedele, M. J., Esser, K. A., & Rennie, M. J. (2007) · Physiological Genomics · doi:10.1152/physiolgenomics.00151.2006 · Cited by 121 · see citing works
The Orphan Nuclear Receptor, NOR-1, Is a Target of β-Adrenergic Signaling in Skeletal Muscle
Pearen, M. A., Ryall, J. G., Maxwell, M., Ohkura, N., Lynch, G. S., & Muscat, G. E. O. (2006) · Endocrinology · doi:10.1210/en.2006-0447 · Cited by 120 · see citing works
Catoire, M., Mensink, M., Boekschoten, M. V., Hangelbroek, R., Müller, M., Schrauwen, P., & Kersten, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051066 · Cited by 116 · see citing works
Endurance training-induced changes in insulin sensitivity and gene expression
Teran-Garcia, M., Rankinen, T., Koza, R. A., Rao, D. C., & Bouchard, C. (2005) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00467.2004 · Cited by 116 · see citing works
van Tienen, F. H. J., Praet, S. F. E., de Feyter, H. M., van den Broek, N. M., Lindsey, P. J., Schoonderwoerd, K. G. C., de Coo, I. F. M., Nicolay, K., Prompers, J. J., Smeets, H. J. M., et al. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-3454 · Cited by 111 · see citing works
Nikolić, N., Görgens, S. W., Thoresen, G. H., Aas, V., Eckel, J., & Eckardt, K. (2016) · Acta Physiologica · doi:10.1111/apha.12830 · Cited by 110 · see citing works
Global gene expression in skeletal muscle from well-trained strength and endurance athletes
STEPTO, N. K., COFFEY, V. G., CAREY, A. L., PONNAMPALAM, A. P., CANNY, B. J., POWELL, D., & HAWLEY, J. A. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31818c6be9 · Cited by 108 · see citing works
Pearen, M. A., Eriksson, N. A., Fitzsimmons, R. L., Goode, J. M., Martel, N., Andrikopoulos, S., & Muscat, G. E. O. (2012) · Molecular Endocrinology · doi:10.1210/me.2011-1274 · Cited by 94 · see citing works
Resistance exercise training influences skeletal muscle immune activation: a microarray analysis.
Gordon, P., Liu, D.-M., Sartor, M., Iglayreger, H., Pistilli, E., Gutmann, L., Nader, G., & Hoffman, E. (2012) · Journal of applied physiology · doi:10.1152/japplphysiol.00860.2011 · Cited by 93 · see citing works
Hansen, J. S., Zhao, X., Irmler, M., Liu, X., Hoene, M., Scheler, M., Li, Y., Beckers, J., de Angelis, M. H., Häring, H., et al. (2015) · Diabetologia · doi:10.1007/s00125-015-3584-x · Cited by 90 · see citing works
Reich, K. A., Chen, Y., Thompson, P. D., Hoffman, E. P., & Clarkson, P. M. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00444.2010 · Cited by 83 · see citing works
Hangelbroek, R., Fazelzadeh, P., Tieland, M., Boekschoten, M. V., Hooiveld, G. J. E. J., van Duynhoven, J., Timmons, J. A., Verdijk, L. B., de Groot, C. P. G. M., van Loon, L. J. C., et al. (2016) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12099 · Cited by 82 · see citing works
Exercise and diabetes: relevance and causes for response variability
Böhm, A., Weigert, C., Staiger, H., & Häring, H. (2015) · Endocrine · doi:10.1007/s12020-015-0792-6 · Cited by 79 · see citing works
Böhm, A., Hoffmann, C., Irmler, M., Schneeweiß, P., Schnauder, G., Sailer, C., Schmid, V., Hudemann, J., Machann, J., Schick, F., et al. (2016) · Diabetes · doi:10.2337/db15-1723 · Cited by 79 · see citing works
Jensen, T. E., Wojtaszewski, J. F. P., & Richter, E. A. (2009) · Acta Physiologica · doi:10.1111/j.1748-1716.2009.01979.x · Cited by 77 · see citing works
Transcriptome response of human skeletal muscle to divergent exercise stimuli
Dickinson, J. M., D’Lugos, A. C., Naymik, M., Siniard, A. L., Wolfe, A. J., Curtis, D. R., Huentelman, M. J., & Carroll, C. C. (2018) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00014.2018 · Cited by 76 · see citing works
Leskinen, T., Rinnankoski-Tuikka, R., Rintala, M., Seppänen-Laakso, T., Pöllänen, E., Alen, M., Sipilä, S., Kaprio, J., Kovanen, V., Rahkila, P., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012609 · Cited by 75 · see citing works
Neubauer, O., Sabapathy, S., Lazarus, R., Jowett, J., Desbrow, B., Peake, J., Cameron-Smith, D., Haseler, L., Wagner, K., & Bulmer, A. (2013) · Journal of applied physiology · doi:10.1152/japplphysiol.00143.2013 · Cited by 75 · see citing works
Turan, N., Kalko, S., Stincone, A., Clarke, K., Sabah, A., Howlett, K., Curnow, S. J., Rodriguez, D. A., Cascante, M., O'Neill, L., et al. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002129 · Cited by 74 · see citing works
Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise
Vissing, K., & Schjerling, P. (2014) · Scientific Data · doi:10.1038/sdata.2014.41 · Cited by 70 · see citing works
Hyldahl, R. D., Xin, L., Hubal, M. J., Moeckel‐Cole, S., Chipkin, S. R., & Clarkson, P. M. (2011) · The FASEB Journal · doi:10.1096/fj.10-177105 · Cited by 63 · see citing works
Chopard, A., Cunff, M. L., Danger, R., Lamirault, G., Bihouée, A., Teusan, R., Jasmin, B. J., Marini, J. F., & Leger, J. J. (2009) · Physiological Genomics · doi:10.1152/physiolgenomics.00036.2009 · Cited by 63 · see citing works
ROWLANDS, D. S., Thomson, J. S., Timmons, B. W., Raymond, F., Fuerholz, A., Mansourian, R., Zwahlen, M.-C., Métairon, S., Glover, E. I., Stellingwerff, T., et al. (2011) · Physiological Genomics · doi:10.1152/physiolgenomics.00073.2011 · Cited by 63 · see citing works
Pearen, M. A., Goode, J. M., Fitzsimmons, R. L., Eriksson, N. A., Thomas, G. P., Cowin, G., Wang, S.-C., Tuong, Z. K., & Muscat, G. E. O. (2013) · Molecular Endocrinology · doi:10.1210/me.2013-1205 · Cited by 63 · see citing works
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 63 · see citing works
Murton, A. J., Billeter, R., Stephens, F. B., Etages, S. G. D., Graber, F., Hill, R. J. W., Marimuthu, K., & Greenhaff, P. L. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00426.2013 · Cited by 61 · see citing works
Gene and MicroRNA Expression Responses to Exercise; Relationship with Insulin Sensitivity
McLean, C. G., Mielke, C. J., Cordova, J. M., Langlais, P. R., Bowen, B. P., Miranda, D. N., Coletta, D. K., & Mandarino, L. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127089 · Cited by 60 · see citing works
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 58 · see citing works
Self-citationAl‐Khalili, L., Kramer, D., Wretenberg, P. F., & Krook, A. (2004) · Acta Physiologica Scandinavica · doi:10.1111/j.1365-201x.2004.01259.x · Cited by 58 · see citing works
Self-citationTranscriptomic and epigenetic responses to short-term nutrient-exercise stress in humans
Laker, R. C., Garde, C., CAMERA, D. M., Smiles, W. J., Zierath, J. R., Hawley, J. A., & Barrès, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-15420-7 · Cited by 58 · see citing works
Self-citationHittel, D. S., Kraus, W. E., Tanner, C. J., Houmard, J. A., & Hoffman, E. P. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00331.2004 · Cited by 56 · see citing works
South Pacific Islanders resist type 2 diabetes: comparison of aerobic and resistance training
Sukala, W. R., Page, R., ROWLANDS, D. S., Krebs, J. D., Lys, I., Leikis, M. J., Pearce, J., & Cheema, B. S. (2011) · European Journal of Applied Physiology · doi:10.1007/s00421-011-1978-0 · Cited by 53 · see citing works
Effects of Aerobic Training on Gene Expression in Skeletal Muscle of Elderly Men
Radom‐Aizik, S., Hayek, S., Shahar, I., Rechavi, G., Kaminski, N., & Ben-Dov, I. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000181838.96815.4d · Cited by 53 · see citing works
Damas, F., Ugrinowitsch, C., Libardi, C. A., Jannig, P. R., Hector, A. J., McGlory, C., Lixandrão, M. E., VECHIN, F. C., Montenegro, H., Tricoli, V., et al. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-018-3984-y · Cited by 50 · see citing works
MacNeil, L., Melov, S., Hubbard, A., Baker, S. K., & Tarnopolsky, M. A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010695 · Cited by 49 · see citing works
Evidence of a broad histamine footprint on the human exercise transcriptome
Romero, S. A., Hocker, A. D., Mangum, J. E., Luttrell, M. J., Turnbull, D. W., Struck, A. J., Ely, M. R., Sieck, D. C., Dreyer, H. C., & Halliwill, J. R. (2016) · The Journal of Physiology · doi:10.1113/jp272177 · Cited by 48 · see citing works
Rowlands, D., Nelson, A. R., Raymond, F., Métairon, S., Mansourian, R., Clarke, J., Stellingwerff, T., & Phillips, S. M. (2016) · Physiological Genomics · doi:10.1152/physiolgenomics.00068.2015 · Cited by 44 · see citing works
Stephenson, E. J., Stepto, N. K., Koch, L. G., Britton, S. L., & Hawley, J. A. (2012) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00788.2012 · Cited by 41 · see citing works
Muscle Contraction Induces Acute Hydroxymethylation of the Exercise-Responsive Gene Nr4a3
Pattamaprapanont, P., Garde, C., Fabre, O., & Barrès, R. (2016) · Frontiers in Endocrinology · doi:10.3389/fendo.2016.00165 · Cited by 40 · see citing works
Changes in Gene Expression in Responders and Nonresponders to a Low-Intensity Walking Intervention
Osler, M. E., Fritz, T., Caidahl, K., Krook, A., Zierath, J. R., & Wallberg‐Henriksson, H. (2015) · Diabetes Care · doi:10.2337/dc14-2606 · Cited by 38 · see citing works
Self-citationPöllänen, E., Fey, V., Törmäkangas, T., Ronkainen, P. H. A., Taaffe, D. R., Takala, T., Koskinen, S., Cheng, S., Puolakka, J. O., Kujala, U. M., et al. (2010) · AGE · doi:10.1007/s11357-010-9140-1 · Cited by 35 · see citing works
The Nuclear Receptor, Nor-1, Induces the Physiological Responses Associated With Exercise
Goode, J. M., Pearen, M. A., Tuong, Z. K., Wang, S.-C., Oh, T. G., Shao, E. X., & Muscat, G. E. O. (2016) · Molecular Endocrinology · doi:10.1210/me.2015-1300 · Cited by 31 · see citing works
Rullman, E., Mekjavić, I. B., Fischer, H., & Eiken, O. (2016) · Physiological Reports · doi:10.14814/phy2.12753 · Cited by 30 · see citing works
Mahmassani, Z. S., Reidy, P. T., McKenzie, A. I., Stubben, C., Howard, M. T., & Drummond, M. J. (2019) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01093.2018 · Cited by 29 · see citing works
Promoter-specific regulation of PPARGC1A gene expression in human skeletal muscle
Викторович, П. Д., Lysenko, E. A., Vepkhvadze, T. F., Kurochkina, N. S., Makhnovskii, P. A., & Виноградова, О. Л. (2015) · Journal of Molecular Endocrinology · doi:10.1530/jme-15-0150 · Cited by 21 · see citing works
Gene Expression, Fiber Type, and Strength Are Similar Between Left and Right Legs in Older Adults
Tarnopolsky, M. A., Phillips, S. M., Parise, G., Varbanov, A. R., Demuth, J. P., Stevens, P. J., Qu, A., Wang, F., & Isfort, R. J. (2007) · The Journals of Gerontology Series A · doi:10.1093/gerona/62.10.1088 · Cited by 19 · see citing works
Lammers, G., van Duijnhoven, N. V., Hoenderop, J., Horstman, A., de Haan, A. D., Janssen, T., de Graaf, M., Pardoel, E. M., Verwiel, E., Thijssen, D., et al. (2013) · Experimental Physiology · doi:10.1113/expphysiol.2012.068726 · Cited by 17 · see citing works
The Nuclear Receptor Nor-1 Is a Pleiotropic Regulator of Exercise-Induced Adaptations
Pearen, M. A., & Muscat, G. E. O. (2018) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000143 · Cited by 16 · see citing works
Barberio, M. D., Huffman, K. M., Giri, M., Hoffman, E. P., Kraus, W. E., & Hubal, M. J. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001041 · Cited by 15 · see citing works
Exercise Improves Insulin Sensitivity in the Absence of Changes in Cytokines
Verheggen, R. J. H. M., Poelkens, F., Roerink, S. H. P. P., Ramakers, R. E. F. S., Catoire, M., Hermus, A. R., Thijssen, D. H. J., & Hopman, M. T. E. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001035 · Cited by 14 · see citing works
Reibe, S., Hjorth, M., Febbraio, M., & Whitham, M. (2018) · Physiological Genomics · doi:10.1152/physiolgenomics.00127.2017 · Cited by 11 · see citing works
Coletta, D. K., Campbell, L. E., Weil, J., Kaplan, B. E., Clarkson, M., Finlayson, J., Mandarino, L. J., & Chakkera, H. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160327 · Cited by 10 · see citing works
Flagged first, then by citations
2 of the 96 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Single-nucleus RNA-seq identifies transcriptional heterogeneity in multinucleated skeletal myofibers
Petrany, M. J., Swoboda, C. O., Sun, C., Chetal, K., Chen, X., Weirauch, M. T., Salomonis, N., & Millay, D. P. (2020) · Nature Communications · doi:10.1038/s41467-020-20063-w · Cited by 403 · see citing works
The many actions of insulin in skeletal muscle, the paramount tissue determining glycemia
Sylow, L., Tokarz, V. L., Richter, E. A., & Klip, A. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.03.020 · Cited by 366 · see citing works
Exercise Metabolism and Adaptation in Skeletal Muscle
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 · see citing works
Self-citationTemporal dynamics of the multi-omic response to endurance exercise training
MoTrPAC Study Group, authors, P., Analysts, L., Amar, D., Gay, N. R., Beltran, P. M. J., Generators, L. D., Bae, D., Dasari, S., Dennis, C., et al. (2024) · Nature · doi:10.1038/s41586-023-06877-w · Cited by 297 · see citing works
Egan, B., & Sharples, A. P. (2023) · Physiological Reviews · doi:10.1152/physrev.00054.2021 · Cited by 278 · see citing works
GDF15: a hormone conveying somatic distress to the brain
Lockhart, S. M., Saudek, V., & O’Rahilly, S. (2020) · Endocrine Reviews · doi:10.1210/endrev/bnaa007 · Cited by 256 · see citing works
Progress and Challenges in the Biology of FNDC5 and Irisin
Maak, S., Norheim, F., Drevon, C. A., & Erickson, H. P. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnab003 · Cited by 247 · see citing works
Wang, Z., Emmerich, A., Pillon, N. J., Moore, T. M., Hemerich, D., Cornelis, M. C., Mazzaferro, E., Broos, S., Ahluwalia, T. S., Bartz, T. M., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01165-1 · Cited by 230 · see citing works
Self-citationThe molecular athlete: exercise physiology from mechanisms to medals
Furrer, R., Hawley, J. A., & Handschin, C. (2023) · Physiological Reviews · doi:10.1152/physrev.00017.2022 · Cited by 232 · see citing works
Roberts, M. D., McCarthy, J. J., Hornberger, T. A., Phillips, S. M., Mackey, A. L., Nader, G. A., Boppart, M. D., Kavazis, A. N., Reidy, P. T., Ogasawara, R., et al. (2023) · Physiological Reviews · doi:10.1152/physrev.00039.2022 · Cited by 214 · see citing works
Exercise adaptations: molecular mechanisms and potential targets for therapeutic benefit
McGee, S. L., & Hargreaves, M. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0377-1 · Cited by 221 · see citing works
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 · see citing works
LIM, C., NUNES, E. A., CURRIER, B. S., MCLEOD, J. C., THOMAS, A. C. Q., & PHILLIPS, S. M. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002929 · Cited by 142 · see citing works
Exercise Induces Tissue-Specific Adaptations to Enhance Cardiometabolic Health
Ashcroft, S. P., Stocks, B., Egan, B., & Zierath, J. R. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2023.12.008 · Cited by 149 · see citing works
Self-citationExercise mimetics: harnessing the therapeutic effects of physical activity
Gubert, C., & Hannan, A. J. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00217-1 · Cited by 153 · see citing works
Landen, S., Hiam, D., Voisin, S., Jacques, M., Lamon, S., & Eynon, N. (2023) · The Journal of Physiology · doi:10.1113/jp279499 · Cited by 137 · see citing works
Martin, K. S., Azzolini, M., & Ruas, J. L. (2020) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00580.2019 · Cited by 126 · see citing works
Noone, J., Mucinski, J. M., DeLany, J. P., Sparks, L. M., & Goodpaster, B. H. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2023.12.025 · Cited by 128 · see citing works
Time trajectories in the transcriptomic response to exercise - a meta-analysis
Amar, D., Lindholm, M. E., Norrbom, J., Wheeler, M. T., Rivas, M. A., & Ashley, E. A. (2021) · Nature Communications · doi:10.1038/s41467-021-23579-x · Cited by 104 · see citing works
Interactions between insulin and exercise
Richter, E. A., Sylow, L., & Hargreaves, M. (2021) · Biochemical Journal · doi:10.1042/bcj20210185 · Cited by 99 · see citing works
Metabolism and exercise: the skeletal muscle clock takes centre stage
Martin, R. A., Viggars, M. R., & Esser, K. A. (2023) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00805-8 · Cited by 101 · see citing works
Granata, C., Caruana, N. J., Botella, J., Jamnick, N. A., Huynh, K., Kuang, J., Janssen, H. A., Reljic, B., Mellett, N. A., Laskowski, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27153-3 · Cited by 93 · see citing works
Self-citationFusion-independent satellite cell communication to muscle fibers during load-induced hypertrophy
Murach, K. A., Vechetti, I. J., Van Pelt, D. W., Crow, S. E., Dungan, C. M., Figueiredo, V. C., Kosmac, K., Fu, X., Richards, C. I., Fry, C. S., et al. (2020) · Function · doi:10.1093/function/zqaa009 · Cited by 94 · see citing works
Meta‐analysis of genome‐wide DNA methylation and integrative omics of age in human skeletal muscle
Voisin, S. A. C., Jacques, M., Landen, S., Harvey, N. R., Haupt, L. M., Griffiths, L. R., Gancheva, S., Ouni, M., Jähnert, M., Ashton, K. J., et al. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12741 · Cited by 84 · see citing works
(13376925), S. L., Hiam, D., Voisin, S. A. C., (13283841), M. J., Lamon, S., & (13308696), N. E. (2024) · Figshare · Cited by 85 · see citing works
Langston, P. K., Sun, Y., Ryback, B. A., Mueller, A. L., Spiegelman, B. M., Benoist, C. O., & Mathis, D. J. (2023) · Science Immunology · doi:10.1126/sciimmunol.adi5377 · Cited by 82 · see citing works
Exercise-Induced Adaptations to Adipose Tissue Thermogenesis
Vidal, P., & Stanford, K. I. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00270 · Cited by 78 · see citing works
Wen, Y., Dungan, C. M., Mobley, C. B., Valentino, T. R., von Walden, F., & Murach, K. A. (2021) · Function · doi:10.1093/function/zqab038 · Cited by 77 · see citing works
Exercise is associated with younger methylome and transcriptome profiles in human skeletal muscle
Voisin, S. A. C., Seale, K., Jacques, M., Landen, S., Harvey, N. R., Haupt, L. M., Griffiths, L. R., Ashton, K. J., Coffey, V. G., Thompson, J. M., et al. (2023) · Aging Cell · doi:10.1111/acel.13859 · Cited by 76 · see citing works
Savikj, M., Stocks, B., Sato, S., Caidahl, K., Krook, A., Deshmukh, A. S., Zierath, J. R., & Wallberg‐Henriksson, H. (2022) · Metabolism · doi:10.1016/j.metabol.2022.155268 · Cited by 74 · see citing works
Self-citationSarto, F., Stashuk, D. W., Franchi, M. V., Monti, E., Zampieri, S., Valli, G., Sirago, G., Candia, J., Hartnell, L. M., Paganini, M., et al. (2022) · The Journal of Physiology · doi:10.1113/jp283381 · Cited by 70 · see citing works
Pataky, M. W., Dasari, S., Michie, K. L., Sevits, K. J., Kumar, A., Klaus, K. A., Heppelmann, C. J. H., Robinson, M. M., Carter, R. E., Lanza, I. R., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.10.010 · Cited by 69 · see citing works
Mesquita, P. H. C., Lamb, D. A., Parry, H. A., Moore, J. H., Smith, M. A., Vann, C. G., Osburn, S. C., Fox, C. D., Ruple, B. A., Huggins, K. W., et al. (2020) · Physiological Reports · doi:10.14814/phy2.14526 · Cited by 66 · see citing works
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 67 · see citing works
Self-citationGenetic and epigenetic regulation of skeletal muscle ribosome biogenesis with exercise
Figueiredo, V. C., Wen, Y., Alkner, B., Fernandez‐Gonzalo, R., Norrbom, J., Vechetti, I. J., Valentino, T., Mobley, C. B., Zentner, G. E., Peterson, C. A., et al. (2021) · The Journal of Physiology · doi:10.1113/jp281244 · Cited by 64 · see citing works
Sestrins in Physiological Stress Responses
Kim, M., Kowalsky, A. H., & Lee, J. H. (2020) · Annual Review of Physiology · doi:10.1146/annurev-physiol-031620-092317 · Cited by 62 · see citing works
Rogers, E. M., Banks, N. F., & Jenkins, N. D. M. (2024) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3667 · Cited by 62 · see citing works
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 74 · see citing works
Resistance training rejuvenates the mitochondrial methylome in aged human skeletal muscle
Ruple, B. A., Godwin, J. S., Mesquita, P., Osburn, S. C., Vann, C., Lamb, D. A., Sexton, C., Candow, D., Forbes, S. C., Frugé, A., et al. (2021) · bioRxiv · doi:10.1096/fj.202100873rr · Cited by 46 · see citing works
The influence of aerobic exercise on mitochondrial quality control in skeletal muscle
Philp, A. M., Saner, N. J., Lazarou, M., Ganley, I. G., & Philp, A. (2020) · The Journal of Physiology · doi:10.1113/jp279411 · Cited by 58 · see citing works
The exercise-induced long noncoding RNA CYTOR promotes fast-twitch myogenesis in aging
Wohlwend, M., Laurila, P., Williams, K., Romani, M., de Lima, T. I., Pattawaran, P., Benegiamo, G., Salonen, M. K., Schneider, B. L., Lahti, J. M. T., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc7367 · Cited by 56 · see citing works
Contraction influences Per2 gene expression in skeletal muscle through a calcium‐dependent pathway
Small, L., Altıntaş, A., Laker, R. C., Ehrlich, A. M., Pattamaprapanont, P., Villarroel, J., Pillon, N. J., Zierath, J. R., & Barrès, R. (2020) · The Journal of Physiology · doi:10.1113/jp280428 · Cited by 56 · see citing works
Self-citationRoadmap for alleviating the manifestations of ageing in the cardiovascular system
Liberale, L., Tual-Chalot, S., Sedej, S., Ministrini, S., Georgiopoulos, G., Grunewald, M., Bäck, M., Bochaton-Piallat, M.-L., Boon, R. A., Ramos, G. C., et al. (2025) · Nature Reviews Cardiology · doi:10.1038/s41569-025-01130-5 · Cited by 59 · see citing works
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 · see citing works
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 63 · see citing works
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 71 · see citing works
NR4A3: A Key Nuclear Receptor in Vascular Biology, Cardiovascular Remodeling, and Beyond
Martínez‐González, J., Cañes, L., Alonso, J., Ballester‐Servera, C., Rodríguez‐Sinovas, A., Corrales, I., & Rodrı́guez, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111371 · Cited by 53 · see citing works
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 · see citing works
Self-citationMolecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States
Stokes, T., Timmons, J. A., Crossland, H., Tripp, T. R., Murphy, K., McGlory, C., Mitchell, C. J., Oikawa, S. Y., Morton, R. W., Phillips, B. E., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107980 · Cited by 53 · see citing works
Long Non-coding RNAs Are Differentially Expressed After Different Exercise Training Programs
Bonilauri, B., & Dallagiovanna, B. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.567614 · Cited by 53 · see citing works
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 · see citing works
The genetics of human performance
Kim, D. S., Wheeler, M. T., & Ashley, E. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00400-5 · Cited by 52 · see citing works
Pohl, A., Schünemann, F., Bersiner, K., & Gehlert, S. (2021) · Nutrients · doi:10.3390/nu13113884 · Cited by 55 · see citing works
Maier, G., Delezie, J., Westermark, P. O., Santos, G., Ritz, D., & Handschin, C. (2021) · The Journal of Physiology · doi:10.1113/jp281535 · Cited by 51 · see citing works
Mikhail, A. I., Nagy, P. L., Manta, K., Rouse, N., Manta, A., Ng, S. Y., Nagy, M. F., Smith, P., Lu, J.-Q., Nederveen, J. P., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci156125 · Cited by 51 · see citing works
Enhancement of anaerobic glycolysis – a role of PGC-1α4 in resistance exercise
Koh, J., Pataky, M. W., Dasari, S., Klaus, K. A., Vučković, I., Ruegsegger, G. N., Kumar, A. P., Robinson, M. M., & Nair, K. S. (2022) · Nature Communications · doi:10.1038/s41467-022-30056-6 · Cited by 50 · see citing works
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 47 · see citing works
Immunological regulation of skeletal muscle adaptation to exercise
Langston, P. K., & Mathis, D. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.04.001 · Cited by 47 · see citing works
Skeletal muscle immobilisation-induced atrophy: mechanistic insights from human studies
Deane, C. S., Piasecki, M., & Atherton, P. J. (2024) · Clinical Science · doi:10.1042/cs20231198 · Cited by 51 · see citing works
Maasar, M. F., Turner, D. C., Gorski, P. P., Seaborne, R. A. E., Strauss, J. A., Shepherd, S. O., Cocks, M. S., Pillon, N. J., Zierath, J. R., Hulton, A. T., et al. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.619447 · Cited by 49 · see citing works
Self-citationSellami, M., Elrayess, M. A., Puce, L., & Bragazzi, N. L. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.815410 · Cited by 49 · see citing works
Li, N., Shi, H., Guo, Q., Gan, Y., Zhang, Y., Jia, J., Zhang, L., & Zhou, Y. (2022) · Nutrients · doi:10.3390/nu14183730 · Cited by 52 · see citing works
Whytock, K. L., & Goodpaster, B. H. (2025) · Circulation Research · doi:10.1161/circresaha.125.325532 · Cited by 60 · see citing works
Darragh, I. A. J., O’Driscoll, L., & Egan, B. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.738333 · Cited by 48 · see citing works
Single-cell sequencing deconvolutes cellular responses to exercise in human skeletal muscle
Lovrić, A., Rassolie, A., Alam, S., Mandić, M., Saini, A. S., Altun, M., Fernandez‐Gonzalo, R., Gustafsson, T. P., & Rullman, E. (2022) · Communications Biology · doi:10.1038/s42003-022-04088-z · Cited by 49 · see citing works
Mayor, E. (2023) · Frontiers in Aging · doi:10.3389/fragi.2023.1161814 · Cited by 46 · see citing works
Muscle aging and sarcopenia: The pathology, etiology, and most promising therapeutic targets
Grima-Terrén, M., Campanario, S., Ramírez‐Pardo, I., Cisneros, A., Hong, X., Perdiguero, E., Serrano, A. L., Isern, J., & Muñoz‐Cánoves, P. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101319 · Cited by 49 · see citing works
Increased liver glycogen levels enhance exercise capacity in mice
López‐Soldado, I., Guinovart, J. J., & Durán, J. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100976 · Cited by 47 · see citing works
Does a Hypertrophying Muscle Fibre Reprogramme its Metabolism Similar to a Cancer Cell?
Wackerhage, H., Vechetti, I. J., Baumert, P., Gehlert, S., Becker, L., Jaspers, R. T., & de Angelis, M. H. (2022) · Sports Medicine · doi:10.1007/s40279-022-01676-1 · Cited by 46 · see citing works
Thomas, A. C. Q., Stead, C. A., Burniston, J. G., & Phillips, S. M. (2024) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2024.08.010 · Cited by 52 · see citing works
Franssen, W. M. A., Nieste, I., Verboven, K., & Eijnde, B. O. (2025) · Metabolism · doi:10.1016/j.metabol.2025.156320 · Cited by 54 · see citing works
Kuang, J., McGinley, C., Lee, M. J.-C., Saner, N. J., Garnham, A., & Bishop, D. J. (2022) · PeerJ · doi:10.7717/peerj.12856 · Cited by 45 · see citing works
Self-citationBlocquiaux, S., Ramaekers, M., van Thienen, R., Nielens, H., Delecluse, C., de Bock, K., & Thomis, M. (2020) · bioRxiv · doi:10.1002/rco2.52 · Cited by 43 · see citing works
Sexton, C., Godwin, J. S., McIntosh, M. C., Ruple, B. A., Osburn, S. C., Hollingsworth, B., Kontos, N. J., Agostinelli, P., Kavazis, A., Ziegenfuss, T., et al. (2023) · Cells · doi:10.3390/cells12020263 · Cited by 31 · see citing works
Muscle-Specific Cellular and Molecular Adaptations to Late-Life Voluntary Concurrent Exercise
Dungan, C. M., Brightwell, C. R., Wen, Y., Zdunek, C. J., Latham, C. M., Thomas, N. T., Zagzoog, A. M., Brightwell, B. D., Nolt, G. L., Keeble, A. R., et al. (2022) · Function · doi:10.1093/function/zqac027 · Cited by 41 · see citing works
Dreher, S. I., Irmler, M., Pivovarova‐Ramich, O., Kessler, K., Jürchott, K., Sticht, C., Fritsche, L., Schneeweiß, P., Machann, J., Pfeiffer, A. F. H., et al. (2023) · International Journal of Obesity · doi:10.1038/s41366-023-01271-y · Cited by 43 · see citing works
Deane, C. S., Willis, C. R. G., Phillips, B. E., Atherton, P. J., Harries, L. W., Ames, R. M., Szewczyk, N. J., & Etheridge, T. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12706 · Cited by 40 · see citing works
Time of day determines postexercise metabolism in mouse adipose tissue
Pendergrast, L. A., Lundell, L. S., Ehrlich, A. M., Ashcroft, S. P., Schönke, M., Basse, A. L., Krook, A., Treebak, J. T., Dollet, L., & Zierath, J. R. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218510120 · Cited by 40 · see citing works
Self-citationNair, V., Pincas, H., Smith, G. R., Zaslavsky, E., Ge, Y.-C., Amper, M. A. S., Vasoya, M., Chikina, M. D., Sun, Y.-F., Raja, A., et al. (2024) · Cell Genomics · doi:10.1016/j.xgen.2023.100421 · Cited by 41 · see citing works
Rubenstein, A. B., Hinkley, J. M., Nair, V. D., Nudelman, G., Standley, R. A., Yi, F., Yu, G., Trappe, T. A., Bamman, M. M., Trappe, S. W., et al. (2022) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00378.2021 · Cited by 40 · see citing works
Verbrugge, S. A. J., Gehlert, S., Stadhouders, L. E. M., Jacko, D., Aussieker, T., de Wit, G. M. J., Vogel, I. S. P., Offringa, C., Schönfelder, M., Jaspers, R. T., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197062 · Cited by 39 · see citing works
Batterson, P. M., McGowan, E. M., Stierwalt, H. D., Ehrlicher, S. E., Newsom, S. A., & Robinson, M. M. (2023) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00467.2022 · Cited by 43 · see citing works
Motanova, E. S., Pirazzini, M., Negro, S., Rossetto, O., & Narici, M. V. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102586 · Cited by 40 · see citing works
Human skeletal muscle possesses an epigenetic memory of high-intensity interval training
Pilotto, A., Turner, D. C., Crea, E., Mazzolari, R., Brocca, L., Pellegrino, M. A., Miotti, D., Bottinelli, R., Sharples, A. P., & Porcelli, S. (2024) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00423.2024 · Cited by 40 · see citing works
Xie, X., & Huang, C. X. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102316 · Cited by 37 · see citing works
Increased mitochondrial surface area and cristae density in the skeletal muscle of strength athletes
Botella, J., Schytz, C. T., Pehrson, T. F., Hokken, R., Laugesen, S., Aagaard, P., Suetta, C., Christensen, B., Ørtenblad, N., & Nielsen, J. (2023) · The Journal of Physiology · doi:10.1113/jp284394 · Cited by 38 · see citing works
Self-citationTaylor, D. F., & Bishop, D. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031517 · Cited by 37 · see citing works
Self-citationYang, L., Yuan, F., Rong, L., Cai, J., Yang, S., Jia, Z., & Li, S. (2022) · Foods · doi:10.3390/foods11182890 · Cited by 36 · see citing works
Lavin, K. M., Bell, M. B., McAdam, J. S., Peck, B. D., Walton, R. G., Windham, S. T., Tuggle, S. C., Long, D. E., Kern, P. A., Peterson, C. A., et al. (2021) · Physiological Genomics · doi:10.1152/physiolgenomics.00154.2020 · Cited by 33 · see citing works
Effects of aging and lifelong aerobic exercise on basal and exercise-induced inflammation in women
Lavin, K. M., Perkins, R. K., Jemioło, B., Raue, U., Trappe, S. W., & Trappe, T. A. (2020) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00655.2020 · Cited by 36 · see citing works
Role of the endocannabinoid system in the regulation of the skeletal muscle response to exercise
Schönke, M., Martínez‐Téllez, B., & Rensen, P. C. N. (2020) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2020.05.003 · Cited by 35 · see citing works
Yu, H., Villanueva, N., Bittar, T. P., Arsenault, E., Labonté, B., & Huan, T. (2020) · Analytica Chimica Acta · doi:10.1016/j.aca.2020.09.051 · Cited by 35 · see citing works
Forgot to Exercise? Exercise Derived Circulating Myokines in Alzheimer's Disease: A Perspective
Gupta, R., Khan, R., & Cortés, C. J. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.649452 · Cited by 35 · see citing works
Williams, K., Carrasquilla, G. D., Ingerslev, L. R., Hochreuter, M. Y., Hansson, S., Pillon, N. J., Donkin, I., Versteyhe, S., Zierath, J. R., Kilpeläinen, T. O., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101290 · Cited by 35 · see citing works
Self-citationTrewin, A. J., Silver, J. L., Dillon, H. T., Gatta, P. A. D., Parker, L., Hiam, D., Lee, Y. P., Richardson, M. F., Wadley, G. D., & Lamon, S. (2022) · BMC Biology · doi:10.1186/s12915-022-01366-4 · Cited by 35 · see citing works
DNA methylation of exercise-responsive genes differs between trained and untrained men
Geiger, C., Needhamsen, M., Emanuelsson, E. B., Norrbom, J., Steindorf, K., Sundberg, C. J., Reitzner, S., & Lindholm, M. (2024) · BMC Biology · doi:10.1186/s12915-024-01938-6 · Cited by 33 · see citing works
Muscle-derived factors influencing bone metabolism
Gries, K. J., Zysik, V. S., Jobe, T. K., Griffin, N., Leeds, B. P., & Lowery, J. W. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.10.009 · Cited by 34 · see citing works
Viggars, M. R., Berko, H. E., Hesketh, S. J., Wolff, C. A., Gutierrez‐Monreal, M. A., Martin, R. A., Jennings, I. G., Huo, Z., & Esser, K. A. (2024) · Molecular Metabolism · doi:10.1016/j.molmet.2024.101980 · Cited by 33 · see citing works
‘Exerkines’: A Comprehensive Term for the Factors Produced in Response to Exercise
Novelli, G., Calcaterra, G., Casciani, F., Pecorelli, S., & Mehta, J. L. (2024) · Biomedicines · doi:10.3390/biomedicines12091975 · Cited by 34 · see citing works
The 24-hour molecular landscape after exercise in humans reveals MYC is sufficient for muscle growth
Edman, S., Jones, R. G., Jannig, P. R., Fernandez‐Gonzalo, R., Norrbom, J., Thomas, N. T., Khadgi, S., Koopmans, P. J., da Silva, F. M., Chambers, T. L., et al. (2024) · EMBO Reports · doi:10.1038/s44319-024-00299-z · Cited by 32 · see citing works
- Authors
- Pillon, N. J., Gabriel, B. M., Dollet, L., Smith, J. A. B., Sardón Puig, L., Botella, J., Bishop, D. J., Krook, A., & Zierath, J. R.
- Affiliations
- Karolinska Institutet (SE)
- Victoria University (AU)
- University of Copenhagen (DK)
- Corresponding author
- Zierath, Juleen R.
- ORCID
- Venue
- Nature Communications
- Published
- 2020-01-24
- Volume
- 11
- Issue
- 1
- Pages
- 470-470
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6981202
- OpenAlex
- W3002380642
- Cited by
- 457
- References
- 96
- Citations by year
- 2026: 77 · 2025: 74 · 2024: 84 · 2023: 54 · 2022: 74 · 2021: 60 · 2020: 33 · 2019: 1
- FWCI
- 5.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- Victoria University Research Repository (Victoria University) (submittedVersion, cc-by)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Deakin Research Online (Deakin University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Wenner-Gren Foundation
- Judith Jane Mason and Harold Stannett Williams Memorial Foundation
- European Commission (675610, 704978, 2015-00165)
- European Foundation for the Study of Diabetes
- Karolinska Institutet (2009-1068)
- Novo Nordisk (NNF18CC0034900)
- Stockholms Läns Landsting (SLL20170159, NNF14OC0011493, SLL20150517)
- Vetenskapsrådet (2015-00165, 2018-02389, 2018-02389, P2018-0097, 2015-00165, 2018-, NNF14OC0011493, 2009–1068)
- Centrum för idrottsforskning (P2018-0097)
- Novo Nordisk Fonden (NNF17OC0030088, NNF19OC0055072, NNF15SA0018346, NNF 18 CC0034900, NNF14OC0011493, NNF14OC0009941)
- Novo Nordisk Foundation Center for Basic Metabolic Research (NNF14OC0011493, NNF 18 CC0034900, NNF17OC0030088)
- Australian Research Council (DP140104165)
- H2020 Marie Skłodowska-Curie Actions (675610, NNF18CC0034900, 704978)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Keywords
- skeletal muscle transcriptome, exercise training, physical inactivity, aerobic exercise, resistance training, NR4A3, nuclear receptors, metabolic response, metabolic dysfunction
- MeSH terms
- Adaptation, Physiological, DNA-Binding Proteins, Humans, Receptors, Steroid, Receptors, Thyroid Hormone, Exercise, Muscle, Skeletal, Gene Expression Profiling, Gene Regulatory Networks, Resistance Training, Sedentary Behavior, Gene Ontology
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