|Reference : Race cycling: biological evolution|
|Scientific congresses and symposiums : Paper published in a book|
|Human health sciences : Cardiovascular & respiratory systems|
Human health sciences : Laboratory medicine & medical technology
Human health sciences : Orthopedics, rehabilitation & sports medicine
|Race cycling: biological evolution|
|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 |
|COUFFIGNAL, Vincent [Centre Hospitalier Universitaire de Liège - CHU > > Médecine de l'appareil locomoteur >]|
|Coubard, Romain |
|LAURENT, Terry [Centre Hospitalier Universitaire de Liège - CHU > > Frais communs Biologie Clinique >]|
|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 >]|
|Book of Abstracts of the 17th annual Congress of the ECSS|
|De Geus, B|
|17th Annual Congress of the ECSS|
|4-7 July 2012|
|[en] cycling ; cardiac biomarkers ; metabolic biomarkers|
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 179.6 kilometers in Belgium for the determination of cardiac and metabolic biomarkers: red blood cell (RBC), haemoglobin (HgB), creatinin (Cr), highly sensitive troponin T (hsTnT), myoglobin (MYO) and NT-proBNP. 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.
Results and discussions:
RBC and HgB levels varied significantly between T0 and T3 (respectively p=0.0026, and p=0.002). Cr concentration also varied significantly between all times (T0-T1:p<0.0001, T1-T3:p=0.0326 and T0-T3 p=0.0001). These changes might be related to renal flow depletion during exercice. 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). 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). 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. 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.
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