| Title |
Time-Course of Changes in Inflammatory Response after Whole-Body Cryotherapy Multi Exposures following Severe Exercise
|
|---|---|
| Published in |
PLOS ONE, July 2011
|
| DOI | 10.1371/journal.pone.0022748 |
| Pubmed ID | |
| Authors |
Hervé Pournot, François Bieuzen, Julien Louis, Rémi Mounier, Jean-Robert Fillard, Etienne Barbiche, Christophe Hausswirth |
| Abstract |
The objectives of the present investigation was to analyze the effect of two different recovery modalities on classical markers of exercise-induced muscle damage (EIMD) and inflammation obtained after a simulated trail running race. Endurance trained males (n = 11) completed two experimental trials separated by 1 month in a randomized crossover design; one trial involved passive recovery (PAS), the other a specific whole body cryotherapy (WBC) for 96 h post-exercise (repeated each day). For each trial, subjects performed a 48 min running treadmill exercise followed by PAS or WBC. The Interleukin (IL) -1 (IL-1), IL-6, IL-10, tumor necrosis factor alpha (TNF-α), protein C-reactive (CRP) and white blood cells count were measured at rest, immediately post-exercise, and at 24, 48, 72, 96 h in post-exercise recovery. A significant time effect was observed to characterize an inflammatory state (Pre vs. Post) following the exercise bout in all conditions (p<0.05). Indeed, IL-1β (Post 1 h) and CRP (Post 24 h) levels decreased and IL-1ra (Post 1 h) increased following WBC when compared to PAS. In WBC condition (p<0.05), TNF-α, IL-10 and IL-6 remain unchanged compared to PAS condition. Overall, the results indicated that the WBC was effective in reducing the inflammatory process. These results may be explained by vasoconstriction at muscular level, and both the decrease in cytokines activity pro-inflammatory, and increase in cytokines anti-inflammatory. |
X Demographics
The data shown below were collected from the profiles of 85 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 29 | 34% |
| Canada | 6 | 7% |
| United Kingdom | 3 | 4% |
| Spain | 3 | 4% |
| Australia | 3 | 4% |
| Indonesia | 1 | 1% |
| Czechia | 1 | 1% |
| France | 1 | 1% |
| Unknown | 38 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 72 | 85% |
| Scientists | 6 | 7% |
| Practitioners (doctors, other healthcare professionals) | 4 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Portugal | 2 | <1% |
| Brazil | 2 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Colombia | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 329 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 66 | 19% |
| Student > Bachelor | 51 | 15% |
| Researcher | 42 | 12% |
| Student > Ph. D. Student | 35 | 10% |
| Other | 16 | 5% |
| Other | 74 | 22% |
| Unknown | 59 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 94 | 27% |
| Medicine and Dentistry | 86 | 25% |
| Nursing and Health Professions | 26 | 8% |
| Agricultural and Biological Sciences | 20 | 6% |
| Biochemistry, Genetics and Molecular Biology | 13 | 4% |
| Other | 31 | 9% |
| Unknown | 73 | 21% |