Download Diapositive 1

Biological variations during a race cycling
Le Goff C.1, Kaux J.-F. 3, Goffaux S. 3, Melon P. 2, Fillet M. 4, Chapelle J.-P1.
1
Department of Clinical Chemistry, University Hospital of Liege, Belgium
2 Department of Cardiology, University Hospital of Liege, Belgium
3 Department of Motility Sciences, University of Liege, Belgium
4 Department of Analytical Pharmaceutical Chemistry, University of Liege, Belgium
Background:
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)
haemoglobin (HgB)
creatinin (Cr)
highly sensitive troponin T (hsTnT)
myoglobin (MYO)
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:
•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.
Fig. 1 Evolution of Red Blood Cells
Fig. 2 Evolution of Haemoglobin
Fig. 3 Evolution of Creatinin
R1; Moy. Moindres Carrés
R1; Moy. Moindres Carrés
R1; Moy. Moindres Carrés
Effet courant : F(2, 26)=7,0704, p=,00353
Effet courant : F(2, 26)=7,6477, p=,00244
Effet courant : F(2, 26)=29,233, p=,00000
Décomposition efficace de l'hypothèse
Décomposition efficace de l'hypothèse
Décomposition efficace de l'hypothèse
Les barres verticales représentent les intervalles de confiance à 0,95
Les barres verticales représentent les intervalles de confiance à 0,95
5,3
15,8
5,2
15,6
Les barres verticales représentent les intervalles de confiance à 0,95
13,0
Legend:
12,5
12,0
15,4
VD_1
VD_1
5,0
4,9
11,5
15,2
11,0
15,0
10,5
VD_1
5,1
14,8
4,8
10,0
9,5
14,6
9,0
4,7
14,4
8,5
4,6
14,2
8,0
4,5
14,0
7,5
TO
T1
T3
T0
R1
T1
T0
T3
Fig. 5 Evolution of hsTnT
Fig.6 Evolution of NT-proBNP
R1; Moy. Moindres Carrés
R1; Moy. Moindres Carrés
R1; Moy. Moindres Carrés
Effet courant : F(2, 26)=40,695, p=,00000
Effet courant : F(2, 26)=21,084, p=,00000
Effet courant : F(2, 26)=6,9959, p=,00371
Décomposition efficace de l'hypothèse
Décomposition efficace de l'hypothèse
Décomposition efficace de l'hypothèse
Les barres verticales représentent les intervalles de confiance à 0,95
Les barres verticales représentent les intervalles de confiance à 0,95
Les barres verticales représentent les intervalles de confiance à 0,95
140
0,07
130
130
120
0,06
120
110
110
100
0,05
100
90
90
0,04
70
60
80
VD_1
80
VD_1
VD_1
T3
R1
R1
Fig.4 Evolution of Myoglobin
T1
These figures represents
the kintetic of the blood
biomarkers (cardiac and
metabolic) released during
an international cycling
race
0,03
60
0,02
50
50
40
0,01
40
70
30
30
0,00
20
10
T0
T1
R1
T3
20
10
-0,01
T0
T1
R1
T3
T0
T1
T3
R1
Conclusions:
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).