The Predictive Ability of Total Genotype Score and Serum Metabolite Markers in Power-Based Sports Performance Following Different Strength Training Intensities — A Pilot Study
-
Published:2023-03-20
Issue:2
Volume:31
Page:1087-1103
-
ISSN:2231-8526
-
Container-title:Pertanika Journal of Science and Technology
-
language:en
-
Short-container-title:JST
Author:
Khairul Elin Elisa,Ab Wahab Wan Atiyyah,Kek Teh Lay,Salleh Mohd Zaki,Rofiee Mohd Salleh,Raja Azidin Raja Mohammed Firhad,Md. Yusof Sarina
Abstract
Muscular power is one of the factors that contribute to an athlete’s performance. This study aimed to explore the predictive ability of total genotype score (TGS) and serum metabolite markers in power-based sports performance following different strength training (ST) intensities. We recruited 15 novice male field hockey players (age = 16.27 ± .12 years old, body mass index = 22.57 ± 2.21 kg/m2) and allocated them to; high-intensity strength training (HIST, n=5), moderate intensity strength (MIST, n=5), and control group (C, n=5). Both training groups completed an eight-week ST intervention. Pre- and post-training muscular power (vertical jump) was measured. The participants were genotyped for; ACE (rs1799752), ACTN3 (rs1815739), ADRB3 (rs4994), AGT (rs699), BDKRB2 (rs1799722), PPARA (rs4253778), PPARGC1A (rs8192678), TRHR (rs7832552), and VEGF (rs1870377). TGS was calculated to annotate for strength-power (STP) and endurance (END) qualities. Subsequently, serum metabolomics analysis was conducted using Liquid chromatography-mass spectrometry Quadrupole-Time-of-Flight (LC-MS QTOF) to profile differentially expressed metabolite changes induced by training. Multiple regression analysis was conducted to explore the ability of TGS and differentially expressed metabolite markers to predict muscular power changes following the intervention. Multiple Regression revealed that only TGS STP might be a significant predictor of muscular power changes following MIST (adjusted R2=.906, p<.05). Additionally, ST also resulted in significant muscular power improvement (p<.05) and perturbation of the sphingolipid metabolism pathway (p<.05). Therefore, selected gene variants may influence muscular power. Therefore, STP TGS might be able to predict muscular power changes following MIST.
Publisher
Universiti Putra Malaysia
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference41 articles.
1. Ahmetov, I. I., Egorova, E. S., Gabdrakhmanova, L. J., & Fedotovskaya, O. N. (2016). Genes and athletic performance: An update. Medicine and Sport Science, 61, 41-54. https://doi.org/10.1159/000445240 2. Amato, A., Messina, G., Contrò, V., Sacco, A., & Proia, P. (2018). Total genetic score: An instrument to improve the performance in the elite athletes. Acta Medica Mediterranea, 34(6), 1857-1862. https://doi.org/10.109193/0393-6384_2018_6_287 3. Assuncao, A. R., Bottaro, M., Ferreira-Junior, J. B., Izquierdo, M., Cadore, E. L., & Gentil, P. (2016). The chronic effects of low- and high-intensity resistance training on muscular fitness in adolescents. Public Library of Science, 11(8), 4-7. https://doi.org/10.1371/journal.pone.0160650 4. Astorino, T. A., Tam, P. A., Rietschel, J. C., Johnson, S. M., & Freedman, T. P. (2004). Changes in physical fitness parameters during a competitive field hockey season. Journal of Strength and Conditioning Research, 18(4), 850-854. https://doi.org/10.1519/13723.1 5. Bergman, B. C., Brozinick, J. T., Strauss, A., Bacon, S., Kerege, A., Bui, H. H., Sanders, P., Siddall, P., Kuo, M. S., & Perreault, L. (2015). Serum sphingolipids: relationships to insulin sensitivity and changes with exercise in humans. American Journal of Physiology-Endocrinology and Metabolism, 309(4), E398-E408. https://doi.org/10.1152/ajpendo.00134.2015
|
|