Title |
Plasma cytokine changes in relation to exercise intensity and muscle damage
|
---|---|
Published in |
European Journal of Applied Physiology, September 2005
|
DOI | 10.1007/s00421-005-0035-2 |
Pubmed ID | |
Authors |
Jonathan M Peake, Katsuhiko Suzuki, Matthew Hordern, Gary Wilson, Kazunori Nosaka, Jeff S. Coombes |
Abstract |
The purpose of this study was to compare the effects of exercise intensity and exercise-induced muscle damage on changes in anti-inflammatory cytokines and other inflammatory mediators. Nine well-trained male runners completed three different exercise trials on separate occasions: (1) level treadmill running at 60% VO2max (moderate-intensity trial) for 60 min; (2) level treadmill running at 85% VO2max (high-intensity trial) for 60 min; (3) downhill treadmill running (-10% gradient) at 60% VO2max (downhill running trial) for 45 min. Blood was sampled before, immediately after and 1 h after exercise. Plasma was analyzed for interleukin-1 receptor antagonist (IL-1ra), IL-4, IL-5, IL-10, IL-12p40, IL-13, monocyte chemotactic protein-1 (MCP-1), prostaglandin E(2), leukotriene B(4) and heat shock protein 70 (HSP70). The plasma concentrations of IL-1ra, IL-12p40, MCP-1 and HSP70 increased significantly (P<0.05) after all three trials. Plasma prostaglandin E(2) concentration increased significantly after the downhill running and high-intensity trials, while plasma IL-10 concentration increased significantly only after the high-intensity trial. IL-4 and leukotriene B(4) did not increase significantly after exercise. Plasma IL-1ra and IL-10 concentrations were significantly higher (P<0.05) after the high-intensity trial than after both the moderate-intensity and downhill running trials. Therefore, following exercise up to 1 h duration, exercise intensity appears to have a greater effect on anti-inflammatory cytokine production than exercise-induced muscle damage. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Brazil | 2 | 1% |
Malaysia | 1 | <1% |
Indonesia | 1 | <1% |
Qatar | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 191 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 19% |
Student > Master | 28 | 14% |
Researcher | 22 | 11% |
Student > Bachelor | 19 | 10% |
Student > Doctoral Student | 16 | 8% |
Other | 43 | 22% |
Unknown | 33 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Sports and Recreations | 64 | 32% |
Agricultural and Biological Sciences | 26 | 13% |
Medicine and Dentistry | 24 | 12% |
Biochemistry, Genetics and Molecular Biology | 16 | 8% |
Immunology and Microbiology | 5 | 3% |
Other | 22 | 11% |
Unknown | 42 | 21% |