The Role Of Ucps Genes On Vo2Max Trainability Of Hiit In A Chinese Population

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Purpose:The uncoupling proteins (UCPs) played an important role in metabolism and physical fitness by regulating the mitochondrial uncoupling, redox or glucose sensing. The purpose of this study was to explore the role of UCP1, UCP2 and UCP3 gene polymorphisms on the VO2max response of High-Intensity Interval Training (HIIT), and to construct the model to predict the VO2max trainability of HIIT. Methods:223 physical inactivity adults completed 12-week HIIT intervention and genomic DNA was extracted from peripheral whole blood. Body composition, ultrasonic muscle thickness and VO2max were tested before and after 12-week HIIT. Subjects were separated into responders or non-responders according to ΔVO2max effect size (Non-Responders: Cohen's D < 0.2, Responders: Cohen's D ≥ 0.2). Genetic variations of UCP1 and UCP2-UCP3 gene cluster were analyzed by gene arrays (Illumina). Using age, sex, BMI and baseline VO2max as covariates, explore the association between 15 SNPs and VO2max response by linear regression (Plink 1.07). Construct the model to predict the effect of HIIT on improving VO2max by multiple linear stepwise regression (SPSS 23). Results:(1) After 12 weeks of HIIT, VO2max increased 4.33 ml/min/kg (range: -7.76 ~ 17.9 ml/min/kg), however 24% of the subjects were non-responders (Cohen's D < 0.2). (2) The polymorphisms of rs660339(minor allele A, p = 0.0435, beta = -0.7791), rs668514(minor allele T, p = 0.00276, beta = -1.614), rs1685356(minor allele T, p = 0.01998, beta = 0.9152), rs2734827(minor allele A, p = 0.01589, beta = -1.229), and rs1685325(minor allele C, p = 0.02915, beta = -0.8848) were significantly associated with the VO2max response of HIIT. (3) The multiple linear regression model included gender (p < 0.001, beta = -0.459), rs668514 variations (p = 0.005, beta = 0.161), baseline body fat (p < 0.001, beta = -0.291), VO2max (p < 0.001, beta = -0.686) and pectoralis major thickness (p = 0.001, beta = 0.219) explained 29% of the VO2max trainability. Conclusions: Five SNPs (rs660339, rs668514, rs1685356, rs2734827, and rs1685325) were the genetic prediction factors of the VO2max trainability. The multiple linear regression model based on gender, rs668514 variations, baseline body fat, VO2max and pectoralis major thickness explained 29% of the VO2max trainability.