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Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercise
Open accessAbstract
Exercise stimulates the release of molecules into the circulation, supporting the concept that inter-tissue signaling proteins are important mediators of adaptations to exercise. Recognizing that many circulating proteins are packaged in extracellular vesicles (EVs), we employed quantitative proteomic techniques to characterize the exercise-induced secretion of EV-contained proteins. Following a 1-hr bout of cycling exercise in healthy humans, we observed an increase in the circulation of over 300 proteins, with a notable enrichment of several classes of proteins that compose exosomes and small vesicles. Pulse-chase and intravital imaging experiments suggested EVs liberated by exercise have a propensity to localize in the liver and can transfer their protein cargo. Moreover, by employing arteriovenous balance studies across the contracting human limb, we identified several novel candidate myokines, released into circulation independently of classical secretion. These data identify a new paradigm by which tissue crosstalk during exercise can exert systemic biological effects.
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
SignalP 4.0: discriminating signal peptides from transmembrane regions
Petersen, T. N., Brunak, S., von Heijne, G., & Nielsen, H. (2011) · Nature Methods · doi:10.1038/nmeth.1701 · Cited by 8,847
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180
Tumour exosome integrins determine organotropic metastasis
Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Tesic Mark, M., Molina, H., Kohsaka, S., Di Giannatale, A., Ceder, S., et al. (2015) · Nature · doi:10.1038/nature15756 · Cited by 5,101
A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis
Boström, P., Wu, J., Jedrychowski, M. P., Korde, A., Ye, L., Lo, J. C., Rasbach, K. A., Boström, E. A., Choi, J. H., Long, J. Z., et al. (2012) · Nature · doi:10.1038/nature10777 · Cited by 4,810
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
Kowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., Dingli, F., Loew, D., Tkach, M., & Théry, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521230113 · Cited by 3,426
Routes and mechanisms of extracellular vesicle uptake
Mulcahy, L. A., Pink, R. C., & Carter, D. R. F. (2014) · Journal of Extracellular Vesicles · doi:10.3402/jev.v3.24641 · Cited by 2,832
Biogenesis and secretion of exosomes
Kowal, J., Tkach, M., & Théry, C. (2014) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2014.05.004 · Cited by 1,781
Wiklander, O. P. B., Nordin, J. Z., O'Loughlin, A., Gustafsson, Y., Corso, G., Mäger, I., Vader, P., Lee, Y., Sork, H., Seow, Y., et al. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.26316 · Cited by 1,730
Adipose-derived circulating miRNAs regulate gene expression in other tissues
Thomou, T., Mori, M. A., Dreyfuss, J. M., Konishi, M., Sakaguchi, M., Wolfrum, C., Rao, T. N., Winnay, J. N., Garcia-Martin, R., Grinspoon, S. K., et al. (2017) · Nature · doi:10.1038/nature21365 · Cited by 1,539
Vesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation
Kalra, H., Simpson, R. J., Ji, H., Aikawa, E., Altevogt, P., Askenase, P., Bond, V. C., Borràs, F. E., Breakefield, X., Budnik, V., et al. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001450 · Cited by 1,367
Ying, W., Riopel, M., Bandyopadhyay, G., Dong, Y., Birmingham, A., Seo, J. B., Ofrecio, J. M., Wollam, J., Hernandez-Carretero, A., Fu, W., et al. (2017) · Cell · doi:10.1016/j.cell.2017.08.035 · Cited by 1,191
Brown adipose tissue regulates glucose homeostasis and insulin sensitivity
Stanford, K. I., Middelbeek, R. J. W., Townsend, K. L., An, D., Nygaard, E. B., Hitchcox, K. M., Markan, K. R., Nakano, K., Hirshman, M. F., Tseng, Y.-H., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62308 · Cited by 1,180
Integrative Biology of Exercise
Hawley, J. A., Hargreaves, M., Joyner, M. J., & Zierath, J. R. (2014) · Cell · doi:10.1016/j.cell.2014.10.029 · Cited by 1,152
Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism
Zhao, H., Yang, L., Baddour, J., Achreja, A., Bernard, V., Moss, T., Marini, J. C., Tudawe, T., Seviour, E. G., San Lucas, F. A., et al. (2016) · eLife · doi:10.7554/elife.10250 · Cited by 927
Krüger, M., Moser, M., Ussar, S., Thievessen, I., Luber, C. A., Forner, F., Schmidt, S., Zanivan, S., Fässler, R., & Mann, M. (2008) · Cell · doi:10.1016/j.cell.2008.05.033 · Cited by 680
Running-induced systemic cathepsin B secretion is associated with memory function
Moon, H. Y., Becke, A., Berron, D., Becker, B., Sah, N., Benoni, G., Janke, E., Lubejko, S. T., Greig, N. H., Mattison, J. A., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.025 · Cited by 628
Thermogenic Activation Induces FGF21 Expression and Release in Brown Adipose Tissue
Hondares, E., Iglesias, R., Giralt, A., Gonzalez, F. J., Giralt, M., Mampel, T., & Villarroya, F. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.215889 · Cited by 623
The potential of endurance exercise-derived exosomes to treat metabolic diseases
Safdar, A., Saleem, A., & Tarnopolsky, M. A. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.76 · Cited by 463
Physical exercise induces rapid release of small extracellular vesicles into the circulation
Frühbeis, C., Helmig, S., Tug, S., Simon, P., & Krämer‐Albers, E. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.28239 · Cited by 360
The Coming Age of Complete, Accurate, and Ubiquitous Proteomes
Mann, M., Kulak, N. A., Nagaraj, N., & Cox, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.01.029 · Cited by 350
The Ever-Expanding Myokinome: Discovery Challenges and Therapeutic Implications
Whitham, M., & Febbraio, M. A. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.153 · Cited by 279
Muscle releases alpha-sarcoglycan positive extracellular vesicles carrying miRNAs in the bloodstream
Guescini, M., Canonico, B., Lucertini, F., Maggio, S., Annibalini, G., Barbieri, E., Luchetti, F., Papa, S., & Stocchi, V. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125094 · Cited by 228
Glucagon-to-insulin ratio is pivotal for splanchnic regulation of FGF-21 in humans
Hansen, J. S., Clemmesen, J. O., Secher, N. H., Hoene, M., Drescher, A., Weigert, C., Pedersen, B. K., & Plomgaard, P. (2015) · Molecular Metabolism · doi:10.1016/j.molmet.2015.06.001 · Cited by 123
Health benefits of exercise — more than meets the eye!
Febbraio, M. A. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.218 · Cited by 106
Egan, B., Hawley, J. A., & Zierath, J. R. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.07.013 · Cited by 65
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The compelling link between physical activity and the body's defense system
Nieman, D. C., & Wentz, L. M. (2019) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2018.09.009 · Cited by 1,340
Muscle–Organ Crosstalk: The Emerging Roles of Myokines
Severinsen, M. C. K., & Pedersen, B. K. (2020) · Endocrine Reviews · doi:10.1210/endrev/bnaa016 · Cited by 1,226
“Exerkines may be released within extracellular vesicles known as exosomes (10), which may contain nucleic acids, peptides, messenger ribonucleic acid (mRNA), microRNA and mitochondrial deoxyribonucleic acid.”
BackgroundPhysical activity and muscle-brain crosstalk
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Tian, Y., Gong, M., Hu, Y., Liu, H., Zhang, W., Zhang, M., Hu, X., Aubert, D., Zhu, S., Wu, L., et al. (2020) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2019.1697028 · Cited by 643
Can physical activity ameliorate immunosenescence and thereby reduce age-related multi-morbidity?
Duggal, N. A., Niemiro, G., Harridge, S. D. R., Simpson, R. J., & Lord, J. M. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0177-9 · Cited by 436
Metadata
- Authors
- Whitham, M., Parker, B. L., Friedrichsen, M., Hingst, J. R., Hjorth, M., Hughes, W. E., Egan, C. L., Cron, L., Watt, K. I., Kuchel, R. P., Jayasooriah, N., Estevez, E., Petzold, T., Suter, C. M., Gregorevic, P., Kiens, B., Richter, E. A., James, D. E., Wojtaszewski, J. F. P., & Febbraio, M. A.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 27
- Issue
- 1
- Pages
- 237-251.e4
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2782804476
- Cited by
- 688
- References
- 29
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
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