The predictive ability of total genotype score and serum metabolite markers in power-based sports performance following different strength training intensities — a pilot study

The predictive ability of total genotype score and serum metabolite markers in power-based sports performance following different strength training intensities — a pilot study. Pertanika Journal of Science & Technology, 31 (2). pp. 1087-1103. ISSN 2231-8526 (2022)



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.

Item Type: Article
Keywords: Genetics, Metabolomics, Single nucleotide polymorphism, Strength training, Training response
Taxonomy: By Niche > Genome > Human Genome
By Niche > Genome > Human Genome Research
Local Content Hub: Niche > Genome
Depositing User: Hazrul Amir Tomyang (Puncak Alam)
Date Deposited: 06 Nov 2023 09:13
Last Modified: 06 Nov 2023 09:13
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