|Reference : Biological variations during a race cycling|
|Scientific congresses and symposiums : Paper published in a book|
|Human health sciences : Laboratory medicine & medical technology|
Human health sciences : Orthopedics, rehabilitation & sports medicine
|Biological variations during a race cycling|
|LE GOFF, Caroline [Centre Hospitalier Universitaire de Liège - CHU > > Chimie médicale >]|
|Kaux, Jean-François [Université de Liège - ULg > Département des sciences de la motricité > Département des sciences de la motricité >]|
|Goffaux, Sébastien [ > > ]|
|MELON, Pierre [Centre Hospitalier Universitaire de Liège - CHU > > Cardiologie >]|
|Fillet, Marianne [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]|
|Chapelle, Jean-Paul [Université de Liège - ULg > Département de pharmacie > Chimie médicale >]|
|Biomedica 2012 - The European Life Sciences Summit|
|18-19 April 2012|
The metabolic and cardiac impact of a cycling effort on blood biology is not very well described in the literature. We aimed to measure the concentration of different biomarkers (cardiac and metabolic) released during an international cycling race.
Materials and Methods:
Venous blood samples of 15 young men (25.1 ± 6.4 y.o.) were collected just before (T1), just after (T2), 3 hours (T3) after an international cycling race of 176 kilometers in Belgium for the determination of cardiac and metabolic biomarkers:
red blood cells (RBC)
highly sensitive troponin T (hsTnT)
All automated assays were performed according to the manufacter’s specifications.
For the statistical analysis, an Anova calculated with the Statistica Software version 9.1 was used.
•RBC and HgB levels varied significantly between T0 and T3 (respectively p=0.0026, and p=0.002) (Fig. 1 and 2).
• Cr concentration also varied significantly between all times (T0-T1:p<0.0001, T1-T3:p=0.0326 and T0-T3 p=0.0001)(Fig.3). These changes might be related to renal flow depletion during exercise.
•MYO increased significantly between T0 and T1 (p<0.0001), but quickly decreased between T1 and T3, however the T3 level stay higher than T0 (p=0.014) (Fig.4).
•The stress delivered from the physical activity performed during the race induced a significant variation of hsTnT which increased significantly between T0 and T1 (p<0.0001) and stayed higher 3 hours after the end of the exercise (T0-T3: p<0.0001) (Fig.5) .
•The intense exercise delivery by the race induced a significant variation of NT-proBNP, that followed the same kinetic of hsTnT but in smaller proportion. We noticed variations statistically significant between T0 and T1 and between T0 and T3 for NT-proBNP (Fig.6).
•These increases of cardiac biomarkers were significant but reasonable and could not allow us to talk about cellular necrosis or irreversible injury.
Our results show that stress generated by a cycling race could be the cause for the different metabolic variations observed. Troponin T stays without a doubt the most specific marker for stress related to myocardial tissue. Its increase can then be considered as being of interest.
|Acknowledgement: This experimentation was partially financed by “Adeps 2010” grants (Léon Frédéricq Funds).|
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