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Molecular Choreography of Acute Exercise
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Abstract
Acute physical activity leads to several changes in metabolic, cardiovascular, and immune pathways. Although studies have examined selected changes in these pathways, the system-wide molecular response to an acute bout of exercise has not been fully characterized. We performed longitudinal multi-omic profiling of plasma and peripheral blood mononuclear cells including metabolome, lipidome, immunome, proteome, and transcriptome from 36 well-characterized volunteers, before and after a controlled bout of symptom-limited exercise. Time-series analysis revealed thousands of molecular changes and an orchestrated choreography of biological processes involving energy metabolism, oxidative stress, inflammation, tissue repair, and growth factor response, as well as regulatory pathways. Most of these processes were dampened and some were reversed in insulin-resistant participants. Finally, we discovered biological pathways involved in cardiopulmonary exercise response and developed prediction models revealing potential resting blood-based biomarkers of peak oxygen consumption.
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“the increases of acute inflammatory markers seen during exercise (e.g., IL-6, TNF-a, IL1-RA, and IGF-1) could be problematic to an already increased inflammatory pattern we measured in astronauts (Fig. 5B), even though these markers are reduced by regular exercise in low-grade systemic inflammation patients (Contrepois et al., 2020; Khazaei, 2012).”
From Comprehensive Multi-omics Analysis Reveals Mitochondrial Stress as a Central Biological Hub for Spaceflight Impact (2020) · cites this paper as Contrepois et al., 2020
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“A study on acute exercise in individuals with a spectrum of insulin resistance showed that acute physical activity triggers molecular responses on the metabolic and energy-producing pathways, increasing glycolysis, TCA cycle, and fatty acid oxidation (Contrepois et al., 2020).”
From Comprehensive Multi-omics Analysis Reveals Mitochondrial Stress as a Central Biological Hub for Spaceflight Impact (2020) · cites this paper as Contrepois et al., 2020
In the citing paper
“A seminal work by Contrepois et al. [643] found that a simple amount of acute exercise (and up to 1 -h recovery after the training in individulas aged 40–75 years) induced substantial changes in more than half (n = 9,816 analytes) of the 17,662 analytes evaluated through a multi-omics approach.”
From Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR) (2025) · cites this paper as [643]
In the citing paper
“A seminal work by Contrepois et al. [643] found that a simple amount of acute exercise (and up to 1 -h recovery after the training in individulas aged 40–75 years) induced substantial changes in more than half (n = 9,816 analytes) of the 17,662 analytes evaluated through a multi-omics approach.”
From Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR) (2025) · cites this paper as [643]
In the citing paper
“Acute exercise creates a unique exerkine milieu that lasts several hours after exercise cessation, which provides a temporal window for immune function stimulation31.”
From Exerkines in health, resilience and disease (2022) · cites this paper as [31]
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Lang, R. M., Badano, L. P., Mor-Avi, V., Afilalo, J., Armstrong, A., Ernande, L., Flachskampf, F. A., Foster, E., Goldstein, S. A., Kuznetsova, T., et al. (2015) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2014.10.003 · Cited by 12,362
STRING v10: protein–protein interaction networks, integrated over the tree of life
Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K. P., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1003 · Cited by 10,436
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
The Perseus computational platform for comprehensive analysis of (prote)omics data
Tyanova, S., Temu, T., Sinitcyn, P., Carlson, A., Hein, M. Y., Geiger, T., Mann, M., & Cox, J. (2016) · Nature Methods · doi:10.1038/nmeth.3901 · Cited by 8,803
Lang, R. M., Badano, L. P., Mor‐Avi, V., Afilalo, J., Armstrong, A. D. C., Ernande, L., Flachskampf, F. A., Foster, E., Goldstein, S. A., Kuznetsova, T., et al. (2015) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jev014 · Cited by 8,630
Health benefits of physical activity: the evidence
Warburton, D. E. R. (2006) · Canadian Medical Association Journal · doi:10.1503/cmaj.051351 · Cited by 8,007
Mechanisms linking obesity to insulin resistance and type 2 diabetes
Kahn, S. E., Hull, R. L., & Utzschneider, K. M. (2006) · Nature · doi:10.1038/nature05482 · Cited by 5,448
Exercise capacity and mortality among men referred for exercise testing
Myers, J., Prakash, M., Froelicher, V., Do, D., Partington, S., & Atwood, J. E. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011858 · Cited by 4,114
Prediabetes: a high-risk state for diabetes development
Tabák, A. G., Herder, C., Rathmann, W., Brunner, E. J., & Kivimäki, M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60283-9 · Cited by 2,958
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Exerkines in health, resilience and disease
Chow, L. S., Gerszten, R. E., Taylor, J. M., Pedersen, B. K., van Praag, H., Trappe, S., Febbraio, M. A., Galis, Z. S., Gao, Y., Haus, J. M., et al. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00641-2 · Cited by 927
Self-citationPhysical rehabilitation for older patients hospitalized for heart failure
Kitzman, D. W., Whellan, D. J., Duncan, P., Pastva, A. M., Mentz, R. J., Reeves, G. R., Nelson, M. B., Chen, H., Upadhya, B., Reed, S. D., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2026141 · Cited by 594
da Silveira, W. A., Fazelinia, H., Rosenthal, S. B., Laiakis, E. C., Kim, M. S., Meydan, C., Kidane, Y., Rathi, K. S., Smith, S. M., Stear, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.11.002 · Cited by 402
Multi-Omics Profiling for Health
Babu, M., & Snyder, M. P. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100561 · Cited by 434
Self-citationExercise 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
An exercise-inducible metabolite that suppresses feeding and obesity
Li, V. L., He, Y., Contrepois, K., Liu, H., Kim, J. T., Wiggenhorn, A. L., Tanzo, J. T., Tung, A. S.-H., Lyu, X., Zushin, P.-J. H., et al. (2022) · Nature · doi:10.1038/s41586-022-04828-5 · Cited by 331
Self-citationEgan, B., & Sharples, A. P. (2023) · Physiological Reviews · doi:10.1152/physrev.00054.2021 · Cited by 278
Dynamic lipidome alterations associated with human health, disease and ageing
Hornburg, D., Wu, S., Moqri, M., Zhou, X., Contrepois, K., Bararpour, N., Traber, G. M., Su, B., Metwally, A. A., Avina, M., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00880-1 · Cited by 272
Self-citationIzquierdo, M., de Souto Barreto, P., Arai, H., Bischoff-Ferrari, H. A., Cadore, E. L., Cesari, M., Chen, L.-K., Coen, P. M., Courneya, K. S., Duque, G., et al. (2025) · The Journal of nutrition, health and aging · doi:10.1016/j.jnha.2024.100401 · Cited by 273
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
Multi-omics signatures of the human early life exposome
Maître, L., Bustamante, M., Hernandéz-Ferrer, C., Thiel, D., Lau, C. E., Siskos, A., Vives-Usano, M., Ruiz-Arenas, C., Pelegrí-Sisó, D., Robinson, O., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34422-2 · Cited by 242
The 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 253
Plasma Metabolome Profiling of Resistance Exercise and Endurance Exercise in Humans
Morville, T. H., Sahl, R. E., Möritz, T., Helge, J. W., & Clemmensen, C. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108554 · Cited by 179
The role of exercise in the treatment of depression: biological underpinnings and clinical outcomes
Ross, R. E., VanDerwerker, C. J., Saladin, M. E., & Gregory, C. M. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01819-w · Cited by 176
Zhou, X., Shen, X., Johnson, J. S., Spakowicz, D. J., Agnello, M., Zhou, W., Avina, M., Honkala, A. T., Chleilat, F., Chen, S. J., et al. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.02.012 · Cited by 181
Self-citationGaitán, J. M., Moon, H. Y., Stremlau, M., Dubal, D. B., Cook, D. B., Okonkwo, O. C., & van Praag, H. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.660181 · Cited by 160
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Orange, S. T., Leslie, J., Ross, M., Mann, D. A., & Wackerhage, H. (2023) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2023.08.001 · Cited by 158
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
Exercise 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 157
Endocrine role of bone in the regulation of energy metabolism
Zhou, R., Guo, Q., Xiao, Y., Guo, Q., Huang, Y., Li, C., & Luo, X. (2021) · Bone Research · doi:10.1038/s41413-021-00142-4 · Cited by 157
Zheng, Y., Liu, Y., Yang, J., Dong, L., Zhang, R., Tian, S., Yu, Y., Ren, L., Hou, W., Zhu, F., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01934-1 · Cited by 152
A novel diabetes typology: towards precision diabetology from pathogenesis to treatment
Herder, C., & Roden, M. (2022) · Diabetologia · doi:10.1007/s00125-021-05625-x · Cited by 140
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Belhaj, M. R., Lawler, N. G., & Hoffman, N. J. (2021) · Metabolites · doi:10.3390/metabo11030151 · Cited by 144
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
Hortobágyi, T., Větrovský, T., Balbim, G. M., Silva, N. C. B. S., Manca, A., Deriu, F., Kolmos, M., Kruuse, C. R., Liu-Ambrose, T. Y. L., Radak, Z. O., et al. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101698 · Cited by 132
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Shen, X., Kellogg, R., Panyard, D. J., Bararpour, N., Castillo, K. P. E., Lee‐McMullen, B., Delfarah, A., Ubellacker, J. M., Ahadi, S., Rosenberg‐Hasson, Y., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00999-8 · Cited by 126
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Khoramipour, K., Sandbakk, Ø. B., Keshteli, A. H., Gaeini, A. A., Wishart, D. S., & Chamari, K. (2021) · Sports Medicine · doi:10.1007/s40279-021-01582-y · Cited by 125
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Self-citationJulian, T. H., Glascow, N., Barry, A. D. F., Moll, T., Harvey, C., Klimentidis, Y. C., Newell, M., Zhang, S., Snyder, M. P., Cooper‐Knock, J., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103397 · Cited by 117
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Rogeri, P. S., Gasparini, S. O., Martins, G. L., Costa, L. K. F., Araujo, C. C., Lugaresi, R., Kopfler, M., & Lancha, A. H. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.582258 · Cited by 108
Dohm-Hansen, S., English, J. A., Lavelle, A., Fitzsimons, C. P., Lucassen, P. J., & Nolan, Y. M. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.02.001 · Cited by 113
Tabone, M., Bressa, C., García-Merino, J. A., Moreno‐Pérez, D., Chu‐Van, E., Castelli, F. A., Fenaille, F., & Larrosa, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-82947-1 · Cited by 107
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Wei, W., Riley, N. M., Lyu, X., Shen, X., Guo, J., Raun, S. H., Zhao, M., Moya-Garzón, M. D., Basu, H., Tung, A. S.-H., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.04.011 · Cited by 101
Self-citationMolecular insights of exercise therapy in disease prevention and treatment
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Xiong, T., Bai, X., Wei, X., Wang, L., Li, F., Shi, H., & Shi, Y. (2023) · International Journal of COPD · doi:10.2147/copd.s408325 · Cited by 91
García-Hermoso, A., Ramírez-Vélez, R., Díez, J., González, A., & Izquierdo, M. (2023) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2022.11.003 · Cited by 80
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Chen, M., Zhu, J., Mu, W.-J., Luo, H.-Y., Li, Y., Li, S., Yan, L.-J., Li, R.-Y., & Guo, L. (2023) · Nature Communications · doi:10.1038/s41467-023-44242-7 · Cited by 76
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 77
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Luo, B., Xiang, D., Ji, X., Chen, X., Li, R., Zhang, S., Meng, Y., Nieman, D. C., & Chen, P. (2024) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2024.02.002 · Cited by 74
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Geng, L., Ping, J., Wu, R., Yan, H., Zhang, H., Zhuang, Y., Ning, T., Wang, J., Liang, C., Zhang, J., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.001 · Cited by 75
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Cao, R. Y., Tian, H., Tian, Y., & Fu, X. (2023) · Advanced Science · doi:10.1002/advs.202302327 · Cited by 67
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Jin, L., Díaz-Cañestro, C., Wang, Y., Tse, M. A., & Xu, A. (2024) · EMBO Molecular Medicine · doi:10.1038/s44321-024-00027-z · Cited by 76
Chapman, L., Cooper‐Knock, J., & Shaw, P. J. (2022) · Brain · doi:10.1093/brain/awac470 · Cited by 67
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Hoel, F., Hoel, A., Pettersen, I. K. N., Rekeland, I. G., Risa, K., Alme, K., Sørland, K., Fosså, A., Lien, K., Herder, I., et al. (2021) · JCI Insight · doi:10.1172/jci.insight.149217 · Cited by 62
Fridlich, O., Peretz, A., Fox-Fisher, I., Piyanzin, S., Dadon, Z., Shcolnik, E., Sadeh, R., Fialkoff, G., Sharkia, I., Moss, J., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101074 · Cited by 59
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
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Reis, R. A. D. M., Isaac, A. R., Freitas, H. R., de Almeida, M. M., Schuck, P. F., Ferreira, G. C., Andrade‐da‐Costa, B. L. D. S., & Trevenzoli, I. H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.747229 · Cited by 63
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Wang, W., Wang, J., Yao, K., Wang, S., Nie, M., Zhao, Y., Wang, B., Pang, H., Xu, J., Wu, G., et al. (2022) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00057-1 · Cited by 58
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Germain, A., Giloteaux, L., Moore, G. E., Levine, S. M., Chia, J. K. S., Keller, B. A., Stevens, J., Franconi, C. J., Mao, X., Shungu, D. C., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.157621 · Cited by 57
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Belanger, M. J., Rao, P., & Robbins, J. (2021) · Cardiology in Review · doi:10.1097/crd.0000000000000417 · Cited by 64
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Singh, N., Harrod, J. B., Subramanian, S., Robinson, M. B., Chang, K., Karayumak, S. C., Dalca, A. V., Eickhoff, S. B., Fox, M., Franke, L., et al. (2022) · Neuroinformatics · doi:10.1007/s12021-022-09572-9 · Cited by 63
Wang, J., Qin, Y., Wu, Q., Zeng, D., Gao, X., Wang, Q., Li, Z., Ni, Y., Li, H., Zhang, P., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03724-5 · Cited by 56
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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
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Kim, D. S., Wheeler, M. T., & Ashley, E. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00400-5 · Cited by 53
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Self-citationVariability of multi-omics profiles in a population-based child cohort
Gallego-Paüls, M., Hernandéz-Ferrer, C., Bustamante, M., Basagaña, X., Barrera‐Gómez, J., Lau, C. E., Siskos, A., Vives-Usano, M., Ruiz-Arenas, C., Wright, J., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-02027-z · Cited by 50
Sellami, M., Elrayess, M. A., Puce, L., & Bragazzi, N. L. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.815410 · Cited by 49
Cella, V., Bimonte, V. M., Sabato, C., Paoli, A., Baldari, C., Campanella, M., Lenzi, A., Ferretti, E., & Migliaccio, S. (2021) · Foods · doi:10.3390/foods10123075 · Cited by 49
Darragh, I. A. J., O’Driscoll, L., & Egan, B. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.738333 · Cited by 48
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Durrant, L. R., Bucca, G., Hesketh, A. R., Möller‐Levet, C. S., Tripkovic, L., Wu, H., Hart, K. H., Mathers, J. C., Elliott, R. M., Lanham-New, S. A., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.790444 · Cited by 45
Patterson, C. G., Joslin, E., Gil, A. B., Spigle, W. A., Nemet, T., Chahine, L. M., Christiansen, C. L., Melanson, E., Kohrt, W. M., Mancini, M., et al. (2022) · Trials · doi:10.1186/s13063-022-06703-0 · Cited by 48
Multi-omics time-series analysis in microbiome research: a systematic review
Sherwani, M. K., Ruuskanen, M. O., Feldner-Busztin, D., Firbas, P., Boza, G., Móréh, Á., Borman, T., Erawijantari, P. P., Scheuring, I., Gopalakrishnan, S., et al. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf502 · Cited by 48
Perry, A., Farber‐Eger, E. H., Gonzales, T. I., Tanaka, T., Robbins, J., Murthy, V. L., Stolze, L. K., Zhao, S., Huang, S., Colangelo, L. A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03039-x · Cited by 43
Sillanpää, E., Heikkinen, A., Kankaanpää, A., Paavilainen, A., Kujala, U. M., Tammelin, T. H., Kovanen, V., Sipilä, S., Pietiläinen, K. H., Kaprio, J., et al. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01094-6 · Cited by 43
Exercised blood plasma promotes hippocampal neurogenesis in the Alzheimer's disease rat brain
Norevik, C. S., Huuha, A. M., Røsbjørgen, R. N., Bergersen, L. H., Jacobsen, K., Miguel‐dos‐Santos, R., Ryan, L., Skender, B., Moreira, J. B. N., Kobro‐Flatmoen, A., et al. (2023) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2023.07.003 · Cited by 41
Epidemiology and Cardiovascular Benefits of Physical Activity and Exercise
Mi, M., Perry, A., Krishnan, V., & Nayor, M. G. (2025) · Circulation Research · doi:10.1161/circresaha.125.325526 · Cited by 58
The acute vs. chronic effect of exercise on insulin sensitivity: nothing lasts forever
DiMenna, F. J., & Arad, A. D. (2020) · Cardiovascular Endocrinology & Metabolism · doi:10.1097/xce.0000000000000239 · Cited by 46
Exercise, exerkines, and cardiometabolic health: from individual players to a team sport
Robbins, J., & Gerszten, R. E. (2023) · Journal of Clinical Investigation · doi:10.1172/jci168121 · Cited by 43
Neuberger, E. W. I., Hillen, B., Mayr, K., Simon, P. D., Krämer‐Albers, E., & Brahmer, A. (2021) · Genes · doi:10.3390/genes12040522 · Cited by 39
Multiomics Approach to Precision Sports Nutrition: Limits, Challenges, and Possibilities
Nieman, D. C. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.796360 · Cited by 37
Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms
Izundegui, D. G., & Nayor, M. G. (2022) · Current Diabetes Reports · doi:10.1007/s11892-022-01449-0 · Cited by 39
Haller, N., Reichel, T., Zimmer, P., Behringer, M., Wahl, P., STÖGGL, T. L., Krüger, K., & Simon, P. D. (2023) · Sports Medicine · doi:10.1007/s40279-023-01866-5 · Cited by 44
A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes
Halama, A., Zaghlool, S. B., Thareja, G., Kader, S. A., Al‐Muftah, W., Mook-Kanamori, M. J., Sarwath, H., Mohamoud, Y. A., Stephan, N., Ameling, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-51134-x · Cited by 43
Schranner, D., Schönfelder, M., Römisch‐Margl, W., Scherr, J., Schlegel, J., Zelger, O., Riermeier, A., Bremer, S., Prehn, C. P., Adamski, J., et al. (2021) · Physiological Reports · doi:10.14814/phy2.14885 · Cited by 39
Cancer catecholamine conundrum
Wackerhage, H., Christensen, J. F., Ilmer, M., von Luettichau, I., Renz, B. W., & Schönfelder, M. (2021) · Trends in cancer · doi:10.1016/j.trecan.2021.10.005 · Cited by 36
Olsen, L. A., Levy, M. J., Medley, K., Hassan, H., Miller, B. D., Alexander, R. L., Wilcock, E. B., Yi, K., Florens, L. A., Weaver, K. J., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2204427120 · Cited by 39
Jurado‐Fasoli, L., Di, X., Sánchez‐Delgado, G., Yang, W., Osuna‐Prieto, F. J., Ortiz-Alvarez, L., Krekels, E. H. J., Harms, A. C., Hankemeier, T., Schönke, M., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104313 · Cited by 35
Gong, Y., Geng, N., Zhang, H., Luo, Y., Giesy, J. P., Sun, S., Wu, P., Yu, Z., & Chen, J. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.144957 · Cited by 35
Zhao, C., Gong, Y., Zheng, L. P., & Zhao, M. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c08269 · Cited by 34
Gong, Y., Zhang, K., Geng, N., Wu, M., Yi, X., Renyan, L., Challis, J. K., Codling, G., Xu, E. G., & Giesy, J. P. (2021) · Environmental Pollution · doi:10.1016/j.envpol.2021.116942 · Cited by 34
Plasma Proteomic Kinetics in Response to Acute Exercise
Mi, M., Barber, J. L., Rao, P., Farrell, L. A., Sarzynski, M. A., Bouchard, C., Robbins, J., & Gerszten, R. E. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100601 · Cited by 34
Dietary timing enhances exercise by modulating fat-muscle crosstalk via adipocyte AMPKα2 signaling
Chen, J., Xiang, J., Zhou, M., Huang, R., Zhang, J., Cui, Y., Jiang, X., Yang, L., Zhou, R., Xin, H., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.02.007 · Cited by 35
Latino, F., Cataldi, S., Carvutto, R., Candia, M. D., D’Elia, F., Patti, A., Bonavolontá, V., & Fischetti, F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22168734 · Cited by 34
Exercise-Derived Exosomal Peptide Protects Against Pathological Cardiac Remodeling
Yin, A., Yuan, R., Xiao, Q., Zhang, W., Xu, K., Yang, X., Yang, W., Xu, L., Wang, X., Zhuang, F., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2022.104164 · Cited by 35
Cardiac macrophage metabolism in health and disease
Kopecky, B. J., & Lavine, K. J. (2023) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2023.10.011 · Cited by 35
Potential Roles of Exercise-Induced Plasma Metabolites Linking Exercise to Health Benefits
Yang, Y. R., & Kwon, K. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.602748 · Cited by 33
The Metabolic Signature of Cardiorespiratory Fitness: A Systematic Review
Carrard, J., Guerini, C., Appenzeller‐Herzog, C., Infanger, D., Königstein, K., Streese, L., Hinrichs, T., Hanssen, H., Gallart‐Ayala, H., Ivanišević, J., et al. (2021) · Sports Medicine · doi:10.1007/s40279-021-01590-y · Cited by 36
Hu, S., Zhang, B., Han, T., Xu, Y., Bi, S., Shi, X., Peng, Z., & Cao, X. (2024) · Nano Energy · doi:10.1016/j.nanoen.2024.109516 · Cited by 32
Exercise-induced microbial changes in preventing type 2 diabetes
Yao, T., Wang, H., Lin, K., Wang, R., Guo, S., Chen, P., Wu, H., Liu, T., & Wang, R. (2023) · Science China Life Sciences · doi:10.1007/s11427-022-2272-3 · Cited by 31
Dong, R., Peng, K., Shi, L. S., Niu, Q., Rafique, H., Liu, Y., Yuan, L., Zou, L., Li, L., Messia, M. C., et al. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113127 · Cited by 32
Research advances in the application of metabolomics in exercise science
Qi, S., Li, X., Yu, J., & Yin, L. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2023.1332104 · Cited by 30
Chen, Q.-L., Lian, X., An, J., Geng, N., Zhang, H., Challis, J. K., Luo, Y., Liu, Y., Su, G., Xie, Y., et al. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c03948 · Cited by 31
Metadata
- Authors
- Contrepois, K., Wu, S., Moneghetti, K. J., Hornburg, D., Ahadi, S., Tsai, M.-S., Metwally, A. A., Wei, E., Lee-McMullen, B., Quijada, J. V., Chen, S., Christle, J. W., Ellenberger, M., Balliu, B., Taylor, S., Durrant, M. G., Knowles, D. A., Choudhry, H., Ashland, M., Bahmani, A., Enslen, B., Amsallem, M., Kobayashi, Y., Avina, M., Perelman, D., Schüssler-Fiorenza Rose, S. M., Zhou, W., Ashley, E. A., Montgomery, S. B., Chaib, H., Haddad, F., & Snyder, M. P.
- Affiliations
- Stanford Medicine (US)
- The University of Melbourne (AU)
- King Abdulaziz University (SA)
- Corresponding author
- Snyder, Michael P.
- ORCID
- Contrepois, Kévin
- Wu, Si
- Moneghetti, Kegan J.
- Hornburg, Daniel
- Ahadi, Sara
- Metwally, Ahmed A.
- Chen, Songjie
- Christle, Jeffrey W.
- Ellenberger, Mathew
- Balliu, Brunilda
- Taylor, Shalina
- Durrant, Matthew G.
- Knowles, David A.
- Choudhry, Hani
- Ashland, Melanie
- Bahmani, Amir
- Amsallem, Myriam
- Kobayashi, Yukari
- Perelman, Dalia
- Zhou, Wenyu
- Ashley, Euan A.
- Montgomery, Stephen B.
- Snyder, Michael P.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 181
- Issue
- 5
- Pages
- 1112-1130.e16
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC7299174
- OpenAlex
- W3029490310
- Cited by
- 502
- References
- 128
- Citations by year
- 2026: 90 · 2025: 90 · 2024: 78 · 2023: 80 · 2022: 79 · 2021: 71 · 2020: 13
- FWCI
- 33.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Stanford Diabetes Research Center
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Physiology (medical) › Exercise and Physiological Responses
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Keywords
- acute exercise, multi-omics profiling, plasma metabolome, lipidome, peripheral blood mononuclear cells, immunome, proteome, transcriptome, energy metabolism, oxidative stress, inflammation, tissue repair, growth factor responsiveness, insulin resistance, peak oxygen uptake, blood-based biomarkers
- MeSH terms
- Aged, Energy Metabolism, Female, Humans, Insulin, Insulin Resistance, Leukocytes, Mononuclear, Longitudinal Studies, Male, Middle Aged, Oxygen, Oxygen Consumption, Biomarkers, Exercise, Proteome, Metabolome, Transcriptome
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