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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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Cites
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
Cited by
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Items 101–200 of 499
Liu, Y., Zhang, X., Zhang, L., Oliver, B. G. G., Wang, H. G., Liu, Z. P., Chen, Z. H., Wood, L. G., Hsu, A., Xie, M., et al. (2022) · Allergy Asthma and Immunology Research · doi:10.4168/aair.2022.14.4.393 · Cited by 30
Reitzner, S. M., Emanuelsson, E. B., Arif, M., Kaczkowski, B., Kwon, A. T.-J., Mardinoğlu, A., Arner, E., Chapman, M., & Sundberg, C. J. (2023) · Molecular Metabolism · doi:10.1016/j.molmet.2023.101857 · Cited by 37
Mansoor, M. A., Ibrahim, A., Hamide, A., Tran, T., Candreva, E., & Baltaji, J. (2025) · Physiologia · doi:10.3390/physiologia5020013 · Cited by 38
Zhao, J., Wang, Y., Zhao, D., Zhang, L., Chen, P., & Xu, X. Y. (2020) · The Analyst · doi:10.1039/d0an01287d · Cited by 32
Anti-carcinogenic effects of exercise-conditioned human serum: evidence, relevance and opportunities
Metcalfe, R. S., Kemp, R. N., Heffernan, S. M., Churm, R., Chen, Y., Ruffino, J. S., Conway, G. E., Tornillo, G., & Orange, S. T. (2021) · European Journal of Applied Physiology · doi:10.1007/s00421-021-04680-x · Cited by 33
Remie, C. M. E., Janssens, G. E., Bilet, L., van Weeghel, M., Duvivier, B. M. F. M., de Wit‐Verheggen, V. H. W., Connell, N. J., Jörgensen, J. A., Schomakers, B. V., Schrauwen‐Hinderling, V. B., et al. (2021) · Diabetologia · doi:10.1007/s00125-021-05558-5 · Cited by 30
Thijssen, D. H. J., Uthman, L., Somani, Y. B., & van Royen, N. (2021) · The Journal of Physiology · doi:10.1113/jp282000 · Cited by 32
A Customizable Analysis Flow in Integrative Multi-Omics
Lancaster, S. M., Sanghi, A., Wu, S., & Snyder, M. P. (2020) · Biomolecules · doi:10.3390/biom10121606 · Cited by 29
Self-citationKurgan, N., McKee, K. T., Calleja, M., Josse, A. R., & Klentrou, P. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.531926 · Cited by 31
Shi, Y., Zhang, Y., Luo, H., Xu, F., Gao, J.-M., Shi, J., & Gong, Q. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.828473 · Cited by 28
Dynamic transcriptomic responses to divergent acute exercise stimuli in young adults
Lavin, K. M., Graham, Z., McAdam, J. S., O’Bryan, S. M., Drummer, D. J., Bell, M. B., Kelley, C. J., Lixandrão, M. E., Peoples, B. M., Tuggle, S. C., et al. (2023) · Physiological Genomics · doi:10.1152/physiolgenomics.00144.2022 · Cited by 27
Mengelkoch, S., Rose, S. M. S., Lautman, Z., Alley, J. C., Roos, L. G., Ehlert, B., Moriarity, D. P., Lancaster, S. M., Snyder, M. P., & Slavich, G. M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.07.022 · Cited by 30
Self-citationWeber, D., Ferrario, P. G., & Bub, A. (2025) · Metabolomics · doi:10.1007/s11306-025-02260-0 · Cited by 27
Díaz-Cañestro, C., Chen, J., Liu, Y., Han, H., Wang, Y., Honoré, É., Lee, C., Lam, K. S. L., Tse, M. A., & Xu, A. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.100944 · Cited by 29
Zhu, Z., Chen, Y., Zou, J., Gao, S., Wu, D., Li, X., Hu, N., Zhao, J., Huang, W., & Chen, H. (2023) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.22.01028 · Cited by 29
Cancer Therapy and Exercise Intolerance: The Heart Is But a Part
Dillon, H. T., Foulkes, S., Baik, A. H., Scott, J. M., Touyz, R. M., Herrmann, J., Haykowsky, M. J., Gerche, A. L., & Howden, E. J. (2024) · JACC CardioOncology · doi:10.1016/j.jaccao.2024.04.006 · Cited by 32
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Mitchell, A. K., Bliss, R. R., & Church, F. (2024) · Biomolecules · doi:10.3390/biom14101241 · Cited by 33
Effect of host breeds on gut microbiome and serum metabolome in meat rabbits
Ye, X., Zhou, L., Zhang, Y., Xue, S., Gan, Q. F., & Fang, S. (2021) · BMC Veterinary Research · doi:10.1186/s12917-020-02732-6 · Cited by 26
Bragazzi, N. L., Khoramipour, K., Chaouachi, A., & Chamari, K. (2020) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2020-0648 · Cited by 26
Wu, S., Chen, D., & Snyder, M. P. (2022) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2021.102101 · Cited by 25
Self-citationChen, Y., Yang, H., Li, D., Zhou, L., Lin, J., Yin, X., Yang, W., Gao, Y., Zhang, Q., Leng, S. X., et al. (2024) · British Journal of Sports Medicine · doi:10.1136/bjsports-2024-108955 · Cited by 26
Optimizing Microbiota Profiles for Athletes
Mancin, L., Rollo, I., Mota, J. F., Piccini, F., Carletti, M., Susto, G. A., Valle, G., & Paoli, A. (2020) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000236 · Cited by 26
Fonseca, T. R., Mendes, T. T., Ramos, G. P., Cabido, C. E. T., Morandi, R. F., Ferraz, F. O., de Miranda, A. S., Mendonça, V. A., Teixeira, A. L., Garcia, E. S., et al. (2021) · Journal of Environmental and Public Health · doi:10.1155/2021/1304139 · Cited by 26
Exerkines and redox homeostasis
Félix‐Soriano, E., & Stanford, K. I. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102748 · Cited by 27
Mesentier-Louro, L. A., Rangel, B., Stell, L., Shariati, M. A., Dalal, R., Nathan, A., Yuan, K., Pérez, V. D. J., & Liao, Y. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246681 · Cited by 25
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Chen, W., Kullmann, S., & Rhea, E. M. (2025) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2025.04.010 · Cited by 23
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Barad, Z., Augusto, J., & Kelly, Á. M. (2022) · The Journal of Physiology · doi:10.1113/jp282894 · Cited by 27
Chen, C., Wang, J., Yang, C., Yu, H., Zhang, B., Yang, X. P., Xiong, B., Xie, Y., Li, S., Zhang, Z., et al. (2023) · MedComm · doi:10.1002/mco2.252 · Cited by 23
Jacques, M., Landen, S., Alvarez‐Romero, J., Hiam, D., Schittenhelm, R. B., Hanchapola, I., Shah, A. D., Voisin, S. A. C., & Eynon, N. (2023) · The FASEB Journal · doi:10.1096/fj.202300840rr · Cited by 22
Giloteaux, L., Glass, K. A., Germain, A., Franconi, C. J., Zhang, S., & Hanson, M. R. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12403 · Cited by 22
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Li, K., Wang, R., Gu, Z., Weng, W., Liu, W., Huang, Y., Wu, J., Zhang, Z., Yang, S., Su, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61163-9 · Cited by 23
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Carrard, J., Gallart‐Ayala, H., Weber, N., Colledge, F., Streese, L., Hanssen, H., Schmied, C. M., Ivanišević, J., & Schmidt‐Trucksäss, A. (2021) · Metabolites · doi:10.3390/metabo11100675 · Cited by 20
Zhang, H., Liu, J., Cui, M., Chai, H., Chen, L., Zhang, T., Mi, J., Guan, H., & Zhao, L. (2023) · Journal of Translational Internal Medicine · doi:10.2478/jtim-2022-0050 · Cited by 22
The acute effect of different NAD+ precursors included in the combined metabolic activators
Li, X., Yang, H., Jin, H., Türkez, H., Öztürk, G., Doğanay, H. L., Zhang, C., Nielsen, J., Uhlén, M., Borén, J., et al. (2023) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2023.05.032 · Cited by 22
Plaza‐Florido, A., Amaro‐Gahete, F. J., Acosta, F. M., Sacha, J., & Alcántara, J. M. A. (2021) · European Journal of Sport Science · doi:10.1080/17461391.2021.1892198 · Cited by 20
Misquitta, N. S., Ravel‐Chapuis, A., & Jasmin, B. J. (2022) · Human Molecular Genetics · doi:10.1093/hmg/ddac222 · Cited by 20
Associations of the Lipidome with Ageing, Cognitive Decline and Exercise Behaviours
Kadyrov, M., Whiley, L., Brown, B. M., Erickson, K. I., & Holmes, E. C. (2022) · Metabolites · doi:10.3390/metabo12090822 · Cited by 25
Liu, X., Meng, X., Su, X., Ren, K., Ning, C.-X., Qi, X.-M., & Zhang, S. (2022) · Food & Function · doi:10.1039/d2fo01845d · Cited by 20
Haller, N., Blumkaitis, J. C., Strepp, T., Schmuttermair, A., Aglas, L., Simon, P. D., Neuberger, E. W. I., Kranzinger, C., Kranzinger, S., O’Brien, J., et al. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.1000898 · Cited by 24
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Zhou, Q., Ghorasaini, M., Cornelis, F. M. F., Assi, R., Roover, A. D., Giera, M. A., Monteagudo, S., & Lories, R. J. U. (2025) · Annals of the Rheumatic Diseases · doi:10.1016/j.ard.2025.01.009 · Cited by 19
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Bangsbo, J., Hostrup, M., Hellsten, Y., Hansen, M., Melin, A., Kjær, M., Burr, J. F., Engebretsen, L., Egan, B., Hackney, A. C., et al. (2025) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.70112 · Cited by 19
Zhang, D., Li, T., Xie, Y., Tao, S., Yang, Y., Zou, L., Qu, Y., Zhai, S., Tao, F., & Wu, X. (2022) · BMC Public Health · doi:10.1186/s12889-022-12518-0 · Cited by 19
Saito, T., Wei, Y., Wen, L., Srinivasan, C., Wolthers, B. O., Tsai, C., Harris, M. H., Stevenson, K. E., Byersdorfer, C. A., Murayi, J. O., et al. (2021) · Metabolomics · doi:10.1007/s11306-021-01814-2 · Cited by 19
Self-citationSEPDB: a database of secreted proteins
Wang, R., Ren, C., Gao, T., Li, H., Bo, X., Zhu, D., Zhang, D., Chen, H., & Zhang, Y. (2024) · Database · doi:10.1093/database/baae007 · Cited by 19
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Gaesser, G. A., Hall, S. E., Angadi, S. S., Poole, D. C., & Racette, S. B. (2025) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00049.2025 · Cited by 22
Priviero, F. B. M. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115412 · Cited by 19
Li, H., Su, W., Cai, J., Zhao, L., & Li, Y. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1126777 · Cited by 21
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Pellegrino, D., Casas-Recasens, S., Faner, R., Palange, P., & Agustí, A. G. N. (2023) · Respiratory Medicine · doi:10.1016/j.rmed.2023.107294 · Cited by 19
Liu, D., Gao, X., Huang, X., Fan, Y., Wang, Y.-E., Zhang, Y., Chen, X., Wen, J., He, H., Hong, Y., et al. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167016 · Cited by 20
Self-citationZhang, L., Wang, X., Zhang, H., Feng, M., Ding, J., Zhang, B., Cheng, Z., & Qian, L. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.16441 · Cited by 18
Gao, L., Li, Y., Yang, Y., & Zhang, D. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.729910 · Cited by 19
Emanuelsson, E. B., Berry, D. B., Reitzner, S. M., Arif, M., Mardinoğlu, A., Gustafsson, T. P., Ward, S. R., Sundberg, C. J., & Chapman, M. A. (2022) · Physiological Reports · doi:10.14814/phy2.15398 · Cited by 17
Exercise in cold: Friend than foe to cardiovascular health
Feng, Z., Hu, Y., Yu, S., Bai, H., Sun, Y., Gao, W., Li, J., Qin, X., & Zhang, X. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.121923 · Cited by 20
Slotting metabolomics into routine precision medicine
Mussap, M., Noto, A., Piras, C., Atzori, L., & Fanos, V. (2021) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2021.1911639 · Cited by 18
O’Mara, S. M. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.654122 · Cited by 16
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Cabruja, M., Priotti, J., Domizi, P., Papsdorf, K., Kroetz, D. L., Brunet, A., Contrepois, K., & Snyder, M. P. (2021) · Analytica Chimica Acta · doi:10.1016/j.aca.2021.339023 · Cited by 16
Self-citationAlZaim, I., Eid, A. H., Abd‐Elrahman, K. S., & EL‐Yazbi, A. F. (2022) · Biochemical Pharmacology · doi:10.1016/j.bcp.2022.115337 · Cited by 16
Dried blood spot characterization of sex‐based metabolic responses to acute running exercise
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Luo, Y., Geng, N., Sun, S., Cheng, L., Chen, S., Zhang, H., & Chen, J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.166886 · Cited by 16
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Hao, F., Tian, M., Wang, H., Li, S., Wang, X., Jin, X., Wang, Y., Jiao, Y., & Tian, M. (2024) · The FASEB Journal · doi:10.1096/fj.202301686rr · Cited by 17
Plaza‐Florido, A., Pérez‐Prieto, I., Molina‐García, P., Radom‐Aizik, S., Ortega, F. B., & Altmäe, S. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2022.917152 · Cited by 19
Pataky, M. W., Heppelmann, C. J. H., Sevits, K. J., Asokan, A. K., Kumar, A. P., Klaus, K. A., Dasari, S., Kunz, H., Strub, M. D., Robinson, M. M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60049-0 · Cited by 19
Wang, Y., Wu, J., Yao, J., Chen, J., Cheng, K. K. Y., Ho, M. Y.-M., Lee, C., Lam, K. S. L., Tse, M. A., Panagiotou, G., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.10.013 · Cited by 16
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Streese, L., Springer, A., Deiseroth, A., Carrard, J., Infanger, D., Schmaderer, C., Schmidt‐Trucksäss, A., Madl, T., & Hanssen, H. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.07.005 · Cited by 15
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Osswald, M., Kohlbrenner, D., Nowak, N., Spörri, J., Sinues, P., Nieman, D. C., Sievi, N. A., Scherr, J., & Kohler, M. (2021) · Metabolites · doi:10.3390/metabo11120856 · Cited by 16
Tsai, C., Saito, T., Sarangdhar, M., Abu‐El‐Haija, M. A., Wen, L., Lee, B., Yu, M., Lipata, D., Manohar, M., Barakat, M. T., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.abn2110 · Cited by 15
Self-citationSun, W., Lin, Y., Huang, Y., Chan, J., Terrillon, S., Rosenbaum, A. I., & Contrepois, K. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100562 · Cited by 16
Self-citationPiotrowska, K., Zgutka, K., Tkacz, M., & Tarnowski, M. (2023) · Antioxidants · doi:10.3390/antiox12081488 · Cited by 18
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Bedrač, L., Deutsch, L., Terzić, S., Červek, M., Šelb, J., Ašič, U., Verstraeten, L. M. G., Kuščer, E., & Cvetko, F. (2024) · Nutrients · doi:10.3390/nu16223943 · Cited by 17
Chu, B., Ge, S., He, W., Sun, X., Ma, J., Yang, X., Lv, C., Xu, P., Zhao, X., & Wu, K. (2025) · Microbiome · doi:10.1186/s40168-025-02121-x · Cited by 14
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Zhao, C., Gong, Y., Zheng, L. P., & Zhao, M. (2023) · Food Bioscience · doi:10.1016/j.fbio.2023.102453 · Cited by 15
Freeman, A. T., Cellura, D., Minnion, M., Fernandez, B. O., Spalluto, C. M., Levett, D. Z. H., Bates, A. S., Wallis, T., Watson, A., Jack, S., et al. (2021) · Antioxidants · doi:10.3390/antiox10121926 · Cited by 15
Frampton, J., Serrano-Contreras, J. I., García‐Pérez, I., Franco‐Becker, G., Penhaligan, J., Tan, A. S. Y., de Oliveira, A. C. C., Milner, A. J., Murphy, K. G., Frost, G. S., et al. (2023) · The Journal of Physiology · doi:10.1113/jp284294 · Cited by 15
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Nayor, M. G., Shah, S. H., Murthy, V. L., & Shah, R. V. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.02.070 · Cited by 13
Guo, Z., Zhan, L., Gao, N., Zhang, Z., Huang, S., Wang, L., Zhu, C., Jia, Z., Yin, M., Li, F., et al. (2023) · Transplantation · doi:10.1097/tp.0000000000004529 · Cited by 13
Self-citationHuang, S., Chen, Y., Wang, J., Lao, A., Huang, H., Wang, Z., Luo, X., & Zheng, Z. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.168079 · Cited by 13
Zhao, C., Gong, Y., Zheng, L. P., & Zhao, M. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114261 · Cited by 14
Liu, Y., Yang, Y., Wu, H., Yang, H., Chen, L., Sun, F., & Xia, Y. (2024) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2024.104786 · Cited by 13
Untargeted lipidomic analysis of plasma from obese women submitted to combined physical exercise
Santibáñez, R. P. S. M., Brandão, C., Junqueira‐Franco, M. V. M., Junqueira, G. P., de Freitas, E. C., de Carvalho, F. G., Rodrigues, C. H. P., Aguesse, A., Billon‐Crossouard, S., Krempf, M., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-15236-0 · Cited by 14
Laurent, A., Nix, C., Cobraiville, G., Crommen, J., & Fillet, M. (2023) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2023.115373 · Cited by 13
From Multi-omics To Personalized Training: The Rise of Enduromics and Resistomics
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Consensus of Chinese experts on exercise therapy for cancer patients
Cong, M., & HanPing, S. H. I. (2022) · Scientia Sinica Vitae · doi:10.1360/ssv-2022-0028 · Cited by 12
Wang, A., Zhang, H., Liu, J., Yan, Z., Sun, Y., Su, W., Yu, J., Mi, J., & Zhao, L. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043329 · Cited by 12
Molecular origin and biological effects of exercise mimetics
Zhu, Y., & Song, G. (2023) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2023.12.002 · Cited by 14
Zhao, C., Gong, Y., Zheng, L. P., & Zhao, M. (2024) · Food Bioscience · doi:10.1016/j.fbio.2024.104651 · Cited by 14
Dong, R., Rafique, H., Niu, Q., Zeng, X., Messia, M. C., Yuan, L., Shi, L. S., Zou, L., Li, L., & Hu, X. (2024) · Food & Function · doi:10.1039/d4fo03374d · Cited by 12
Zhou, R. J., Chen, J., Tang, Y., Wei, C., Yu, P., Ding, X., Zhu, L., Yao, J., Ouyang, Z., Qiao, J., et al. (2025) · Genome Medicine · doi:10.1186/s13073-025-01434-8 · Cited by 13
Divergent multiomic acute exercise responses reveal the impact of sex as a biological variable
Lavin, K. M., O’Bryan, S. M., Pathak, K. V., Garcia‐Mansfield, K., Graham, Z., McAdam, J. S., Drummer, D. J., Bell, M. B., Kelley, C. J., Lixandrão, M. E., et al. (2025) · Physiological Genomics · doi:10.1152/physiolgenomics.00055.2024 · Cited by 14
Dünnwald, T., Paglia, G., Weiß, G., Denti, V., Faulhaber, M., Schobersberger, W., & Wackerhage, H. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.904618 · Cited by 12
Lin, W., Saner, N. J., Weng, X., Caruana, N. J., Botella, J., Kuang, J., Lee, M. J.-C., Jamnick, N. A., Pitchford, N. W., GARNHAM, A. P., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.863224 · Cited by 18
Chronic exercise remodels the lysine acetylome in the mouse hippocampus
Qian, P., Ma, F., Zhang, W., Cao, D., Li, L., Liu, Z., Pei, P., Zhang, T., Wang, S., & Wu, J. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.1023482 · Cited by 12
Chou, T.-J., Lu, C., Lin, L.-Y., Hsu, Y.-J., Huang, C., & Huang, K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065743 · Cited by 13
Elucidating regulatory processes of intense physical activity by multi-omics analysis
Nakayasu, E. S., Gritsenko, M., Kim, Y., Kyle, J. E., Stratton, K. G., Nicora, C., Munoz, N. M., Navarro, K. M., Claborne, D. M., Gao, Y., et al. (2023) · Military Medical Research · doi:10.1186/s40779-023-00477-5 · Cited by 13
Metabolomic and proteomic applications to exercise biomedicine
Wilkinson, D. J., Crossland, H., & Atherton, P. J. (2024) · Translational Exercise Biomedicine · doi:10.1515/teb-2024-2006 · Cited by 13
Lautaoja-Kivipelto, J. H., O’Connell, T. M., Mäntyselkä, S., Peräkylä, J., Kainulainen, H., Pekkala, S., Permi, P., & Hulmi, J. J. (2021) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00133.2021 · Cited by 12
Luo, Y., Zhang, B., Geng, N., Sun, S., Song, X., Chen, J., & Zhang, H. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.154637 · Cited by 11
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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