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Molecular Prediction Of COMT Gene Polymorphism On Muscle Thickness,Body Composition,Blood Pressure And Training Sensitivity

Posted on:2024-09-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZouFull Text:PDF
GTID:2530307112968229Subject:Physical Education and Training
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Objective:By analyzing the correlation between COMT gene polymorphisms and phenotypic indicators of muscle thickness,body composition and blood pressure,the molecular markers that predict individual differences in muscle thickness,body composition,blood pressure and their training sensitivity were investigated,and provide a theoretical basis for the development of precise exercise and fitness guidance programs for people with different genetic characteristics.Methods:Two hundred and forty-five healthy subjects with no history of regular exercise were recruited and subjected to 12 weeks of high-intensity interval training(3times/week,28 mins/time).Rectus femoris and pectoralis major muscle thickness,body composition and blood pressure indicators were measured before and after the intervention respectively,and genotyped via Illumina CGA gene chips.SNP loci associated with the initial value and the rate of change of each indicator were screened out via Plink 1.90 and Haploview 4.1.the corresponding β values were assigned according to the contribution of genotype to each indicator,and the sum of β values of all loci was the Genetic Susceptibility Score(GPS),and the predictive value of GPS was subsequently analyzed by stepwise regression analysis and ROC curve analysis.Finally,the expression of different genotypes of COMT loci in different tissues was used for validation.Results:1、COMT genes rs737866,rs9332333,rs5993882,rs4646312 and rs174696 were significantly associated with the initial value of right rectus femoris thickness.Among them,GPS(rs737866+rs9332333+rs5993882+rs4646312+rs174696)explained 1.7%of the initial value of right rectus femoris thickness.the initial value of right rectus femoris thickness was significantly lower in those with GPS < 0.504 than in those with GPS > 0.504.the COMT genes rs4646312 and rs174696 were significantly associated with the initial value of left rectus femoris thickness.Among them,GPS(rs4646312+rs174696)explained 1.7% of the initial value of left rectus femoris thickness.2 、 COMT genes rs737866,rs5993882 and rs3819619 were significantly associated with the initial value of right pectoralis major muscle thickness.Among them,GPS(rs737866+rs5993882+rs3819619)explained 3.3% of the initial value of right-sided pectoralis major muscle thickness.rs737866,rs9332333,rs5993882 and rs3819619 of COMT genes were significantly associated with the initial value of left-sided pectoralis major muscle thickness.Among them,GPS(rs737866+rs9332333+rs5993882+rs3819619)explained 3.0% of the initial value of left pectoralis major muscle thickness.rs737866,rs9332333,rs5993882 and rs3819619 were significantly lower than those with GPS>0.695.3 、 COMT genes rs737866,rs5746849,rs4646312 and rs174696 were significantly associated with the rate of change of right rectus femoris thickness.Among them,GPS(rs737866+rs5746849+rs4646312+rs174696)explained 3.1% of the right rectus femoris thickness change rate.rs4646312 and rs174696,the COMT genes,were significantly associated with the left rectus femoris thickness change rate.The GPS(rs4646312+rs174696)explained 2% of the change rate of left rectus femoris thickness.rs4646312 and rs174696 were significantly lower than those with GPS>7.507.4、COMT genes rs5993882,rs3819619 and rs6267 were significantly associated with the rate of change of right pectoralis major muscle thickness.Among them,GPS(rs5993882+rs3819619+rs6267)explained 3.5% of the rate of change of right-sided pectoralis major muscle thickness.rs9332333,rs5993882 and rs3819619 of COMT genes were significantly associated with the rate of change of left-sided pectoralis major muscle thickness.Among them,GPS(rs9332333+rs5993882+rs3819619)explained 3.6% of the rate of change of left pectoralis major muscle thickness.5、COMT genes rs174696,rs174699 and rs165599 were significantly correlated with the initial value of subscapular skinfold thickness.The initial value of subscapularis skinfold thickness was significantly higher in those with GPS <2.061 than in those with GPS >2.061.rs174699 and rs165599 were significantly associated with the rate of change of subscapularis skinfold thickness.Among them,GPS(rs174699+rs165599)explained 2.0% of the subscapularis skinfold thickness variation rate.6、COMT genes rs9332333,rs165722 and rs165599 were significantly correlated with the initial value of iliac skinfold thickness.Among them,GPS(rs9332333+rs165722+rs165599)explained 1.4% of the initial value of iliac skinfold thickness.7、COMT genes rs3819619,rs5746849 and rs174696 were significantly associated with the initial value of diastolic blood pressure.The initial value of diastolic blood pressure explained by GPS(rs3819619+rs5746849+rs174696)was 7.7%.the initial value of diastolic blood pressure was significantly lower in those with GPS <5.028 than in those with GPS >5.028.Conclusion:1、COMT gene GPS(rs4646312+rs174696)predicted training sensitivity of left rectus femoris thickness after HIIT intervention,with higher training sensitivity for those with GPS > 7.507.COMT gene GPS(rs737866+rs9332333+rs5993882+rs4646312+ rs174696)predicted the onset of right rectus femoris muscle thickness before HIIT intervention,with higher initial values for GPS > 0.504.COMT gene GPS(rs737866+rs9332333+rs5993882+rs3819619)predicted the onset of left pectoralis major muscle thickness before HIIT intervention,with higher initial values for GPS > 0.695 had higher initial values.2 、 COMT gene GPS(rs174696+rs174699+rs165599)could predict the onset level of subscapularis skinfold thickness before HIIT intervention,and the initial value was lower for those with GPS > 2.061.3、COMT gene GPS(rs3819619+rs5746849+rs174696)could predict the onset level of initial diastolic blood pressure before HIIT intervention GPS > 5.028 was higher in those with higher initial values.
Keywords/Search Tags:COMT, Gene polymorphism, Training sensitivity, Muscle thickness, Body composition, Blood pressure
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