| Objectives: By analyzing the correlation between aerobic exercise capacity and body composition improvement after 12 weeks of high intensity interval training（HIIT）and single nucleotide polymorphisms（SNPs）of antioxidant key enzyme genes copper zinc superoxide dismutase（SOD1）,glutathione peroxidase 3（GPX3）and quinone oxidoreductase 1（NQO1）,the molecular markers related to the fitness effect of 12 weeks HIIT were screened to provide reference for the formulation of benefit maximization exercise program.Methods: In this study,a total of 200 Han healthy and non-sports-oriented college students were recruited in four universities,including 93 males（46.5 % of the total）and 107 females（53.5 % of the total）,aged between 17 and 25.The subjects were subjected to HIIT training three times a week for a total of 12 weeks.Before and after the exercise intervention,the aerobic exercise ability of the subjects was tested: maximum oxygen uptake（VO2max）,ventilation（VE）,body composition: skeletal muscle mass（kg）and percentage（%）,body fat mass（kg）and percentage（%）,and BMI（kg/m2）.DNA was extracted by TIANGEN genomic extraction kit.28 SNPs of SOD1,GPX3 and NQO1 were genotyped by Illumina CGA gene chip.The correlation between SNPs and HIIT training effect was analyzed by covariance analysis,and the contribution of positive loci to the index was analyzed by regression analysis.Results: 1.The training effect of VE（L/min）: The TC genotype of SOD1 rs1041740 was significantly higher than the TT genotype（103.02%）and the CC genotype（126.22%）,and regression analysis showed that this locus was a predictor of the VE training effect,R2=0.049.2.The training effect of VO2max（L/min）: The GG genotype of GPX3 rs8177441 was significantly higher than the GC genotype（84.21%）.After regression analysis,it was found that this locus was a predictor of the training effect,with R2=0.034.3.The training effect of VO2max（ml/min/kg）: The GG genotype of GPX3 rs8177441 was significantly higher than the GC genotype（84.11%）and the CC genotype（33.11%）,and the CC genotype of rs11548 was higher than the TC genotype（55.19%）,regression analysis suggested that rs11548 was a predictor of training effect,with R2=0.035.4.The training effect of skeletal muscle percentage（%）: the GA genotype of NQO1 rs1437135 was significantly higher than the GG genotype（137.36%）,and the AG genotype of NQO1 rs1800566 was significantly higher than the AA genotype（140.65%）.The regression analysis showed that rs1437135 is a predictor of training effect,R2=0.018.Conclusions: 1.rs1041740 is a molecular marker for predicting the training effect of VE,TC is the dominant genotype,and the carrier training effect is better.This locus can explain 4.9% of the training difference.2.rs8177441 is a molecular marker for predicting the training effect of VO2 max,GG is the dominant genotype,and carriers have better training effect,and rs1800566 can explain 3.4% of the training difference.3.rs8177441 and rs11548 are molecular markers for predicting the training effect of VO2max（ml/min/kg）,GG of rs8177441 and CC of rs11548 are the dominant genotypes,and the carrier training effect is better,and rs11548 can explain 3.5% of the training difference.4.rs1800566 and rs1437135 are molecular markers for predicting the training effect of skeletal muscle percentage.AG of rs1800566 and GA of rs1437135 are the dominant genotypes,and the training effect of carriers is better.rs1437135 can explain 1.8% of the training difference. |
