Changes in Circulating MicroRNA Levels as Potential Indicators of Training Adaptation in Professional Volleyball Players
Abstract
:1. Introduction
2. Results
3. Discussion
4. Materials and Methods
4.1. Subjects and Study Design
4.2. Circulating MicroRNAs Analysis and Serum Interleukin 6 Determination
4.3. Statistical Analysis
4.4. Bioinformatic Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Body Composition Parameter | Baseline | Endpoint | p-Value |
---|---|---|---|
Mass, kg | 77.3 ± 10.08 | 78.17 ± 10.49 | 0.070 |
BMI, kg/m2 | 22.68 ± 2.18 | 22.85 ± 2.18 | 0.210 |
Fat, % | 20.83 ± 3.77 | 18.66 ± 3.58 | <0.001 |
Fat mass, kg | 16.33 ± 4.76 | 14.89 ± 4.7 | 0.003 |
FFM, kg | 60.98 ± 6.38 | 63.53 ± 6.85 | 0.002 |
TBW, kg | 44.63 ± 4.66 | 46.45 ± 5.05 | 0.002 |
BMR, kJ | 7568.75 ± 848.73 | 7828.5 ± 910.59 | 0.002 |
VO2max, mL/kg/min. | 41.8 ± 4.54 | 45.57 ± 4.69 | <0.001 |
Parameter | Baseline | Endpoint | p-Value |
---|---|---|---|
miR-17 | 0.35 ± 0.13 | 0.23 ± 0.08 | 0.039 |
miR-22 | 0.40 ± 0.1 | 0.28 ± 0.12 | 0.009 |
miR-24 | 0.09 ± 0.04 | 0.05 ± 0.02 | 0.001 |
miR-26a | 0.11 ± 0.06 | 0.06 ± 0.04 | 0.003 |
miR-93 | 0.36 ± 0.1 | 0.36 ± 0.12 | 0.980 |
miR-125b | 0.22 ± 0.06 | 0.28 ± 0.1 | 0.185 |
IL-6 [pg/mL] Norm < 7 | 4.11 ± 0.76 | 3.64 ± 0.68 | 0.220 |
CK [U/L] Reference range [29–168] | 101.82 ± 51.12 | 210.58 ± 80.91 | 0.001 |
Cortisol [µg/dL] Reference range [3.70–19.40] | 25.57 ± 7.45 | 16.66 ± 4.26 | <0.001 |
Parameter | Weight | BMI | BMR | FAT% | Fat Mass | FFM | TBW | VO2 Max | Creatine Kinase | Cortisol | IL-6 |
---|---|---|---|---|---|---|---|---|---|---|---|
miR-22 | 0.002 | −0.10 | −0.09 | 0.22 | 0.14 | −0.11 | −0.09 | 0.01 | 0.22 | 0.57 | −0.17 |
miR-17 | −0.17 | −0.52 | −0.03 | −0.48 | −0.44 | 0.03 | 0.03 | 0.24 | −0.28 | 0.31 | 0.33 |
miR-125b | −0.09 | 0.35 | −0.24 | 0.35 | 0.25 | −0.3 | −0.3 | 0.19 | 0.53 | 0.04 | 0.16 |
miR-24 | 0.13 | 0.63 | 0.08 | 0.17 | 0.23 | 0.03 | 0.03 | 0.24 | 0.67 | −0.24 | 0.35 |
miR-26a | −0.06 | 0.47 | −0.04 | −0.08 | −0.03 | −0.09 | −0.08 | 0.4 | 0.46 | −0.16 | 0.4 |
miR-93 | −0.02 | −0.32 | 0.05 | −0.26 | −0.2 | 0.11 | 0.10 | 0.04 | −0.08 | 0.26 | 0.27 |
The creatine kinase concentration was used as dependent variable. R = 0.9; R2 = 0.8 and R2 (adjusted) = 0.69 | ||||||
micro-RNA name | b * | Standard Error from b * | b | Standard Error from b | T | p-Value * |
Intercept | −52.22 | 71.468 | −0.731 | 0.489 | ||
miR-22 | 0.169 | 0.178 | 117.130 | 123.500 | 0.948 | 0.375 |
miR-17 | 0.233 | 0.174 | 223.570 | 166.679 | 1.341 | 0.222 |
miR-24 | 1.563 | 0.343 | 6218.670 | 1364.871 | 4.556 | 0.003 |
miR-26a | −0.861 | 0.347 | −1715.980 | 691.530 | −2.481 | 0.042 |
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Podgórska, D.; Cieśla, M.; Płonka, A.; Bajorek, W.; Czarny, W.; Król, P.; Podgórski, R. Changes in Circulating MicroRNA Levels as Potential Indicators of Training Adaptation in Professional Volleyball Players. Int. J. Mol. Sci. 2024, 25, 6107. https://doi.org/10.3390/ijms25116107
Podgórska D, Cieśla M, Płonka A, Bajorek W, Czarny W, Król P, Podgórski R. Changes in Circulating MicroRNA Levels as Potential Indicators of Training Adaptation in Professional Volleyball Players. International Journal of Molecular Sciences. 2024; 25(11):6107. https://doi.org/10.3390/ijms25116107
Chicago/Turabian StylePodgórska, Dominika, Marek Cieśla, Artur Płonka, Wojciech Bajorek, Wojciech Czarny, Paweł Król, and Rafał Podgórski. 2024. "Changes in Circulating MicroRNA Levels as Potential Indicators of Training Adaptation in Professional Volleyball Players" International Journal of Molecular Sciences 25, no. 11: 6107. https://doi.org/10.3390/ijms25116107