[Association between ADCY3 gene polymorphism and the effects of high-intensity interval training on body composition].

Q3 Medicine 生理学报 Pub Date : 2024-12-25
Jun-Ren Lai, Li Gong, Yan Liu, Yan-Chun Li, Jing Nie, Duo-Qi Zhou
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Abstract

This study aimed to analyze the impact of single nucleotide polymorphism (SNP) of ADCY3 (encoding adenylate cyclase 3) on the outcome of high-intensity interval training (HIIT) on body composition and screen genetic markers sensitive to HIIT in Chinese Han youth. A total of 237 non-regular exercise Han college students were recruited in a 12-week HIIT program, attending sessions 3 times a week. Before and after the HIIT program, their body composition was measured. DNA from the white blood cells was extracted and genotyped. PLINK (V1.09) software was used for quality control screening of SNPs loci, and a linear regression model was constructed to analyze the association between ADCY3 gene SNPs loci and body composition. ANOVA multiple comparisons (LSD) were performed to test the difference between groups, with the significance level set at 0.05. The results showed that: 1) A total of 22 SNPs loci were identified by the gene microarray scanning of ADCY3 gene, with 15 of them meeting the quality control criteria. The rs6753096 locus was associated with the training effect of HIIT on body composition; 2) The rs6753096 locus was not associated with pre-HIIT body composition; 3) Compared with volunteers with TT genotype, those with CT/CC genotype exhibited significant decrease in body mass index (BMI) and total body fat after training (P < 0.05); Male volunteers carrying the C allele had more significant training changes in skeletal muscle and lean body weight, while HIIT was more effective in decreasing body fat in female volunteers with CT/CC genotype; 4) The rs6753096 locus was significantly correlated with body fat sensitivity to HIIT (P = 0.0475), indicating that volunteers with CT/CC genotype were more sensitive to HIIT. In conclusion, 12-week HIIT program effectively improved the body composition of college students. The ADCY3 gene rs6753096 locus is not associated with pre-HIIT body composition, but it is associated with body composition sensitivity to HIIT, with individuals carrying CT/CC genotype showing greater responsiveness to HIIT.

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[ADCY3基因多态性与高强度间歇训练对体成分影响的关系]。
本研究旨在分析ADCY3(编码腺苷酸环化酶3)单核苷酸多态性(SNP)对中国汉族青年高强度间歇训练(HIIT)结果、身体组成和筛选HIIT敏感遗传标记的影响。共有237名汉族大学生参加了为期12周的HIIT项目,每周参加3次。在HIIT项目前后,测量了他们的身体成分。从白细胞中提取DNA并进行基因分型。采用PLINK (V1.09)软件对snp位点进行质控筛选,并构建线性回归模型分析ADCY3基因snp位点与体成分的相关性。采用ANOVA多重比较(LSD)检验组间差异,显著性水平设为0.05。结果表明:1)ADCY3基因微阵列扫描共鉴定出22个snp位点,其中15个符合质量控制标准。rs6753096位点与HIIT训练对体成分的影响有关;2) rs6753096位点与hiit前体成分无关;3)与TT基因型志愿者相比,CT/CC基因型志愿者训练后身体质量指数(BMI)和体脂含量显著降低(P < 0.05);携带C等位基因的男性志愿者在骨骼肌和瘦体重方面的训练变化更为显著,而在CT/CC基因型的女性志愿者中,HIIT在减少体脂方面更为有效;4) rs6753096位点与体脂对HIIT的敏感性显著相关(P = 0.0475),提示CT/CC基因型志愿者对HIIT更敏感。综上所述,为期12周的HIIT项目有效地改善了大学生的身体成分。ADCY3基因rs6753096位点与HIIT前的身体组成无关,但与身体组成对HIIT的敏感性相关,携带CT/CC基因型的个体对HIIT的反应性更强。
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来源期刊
生理学报
生理学报 Medicine-Medicine (all)
CiteScore
1.20
自引率
0.00%
发文量
4820
期刊介绍: Acta Physiologica Sinica (APS) is sponsored by the Chinese Association for Physiological Sciences and Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences (CAS), and is published bimonthly by the Science Press, China. APS publishes original research articles in the field of physiology as well as research contributions from other biomedical disciplines and proceedings of conferences and symposia of physiological sciences. Besides “Original Research Articles”, the journal also provides columns as “Brief Review”, “Rapid Communication”, “Experimental Technique”, and “Letter to the Editor”. Articles are published in either Chinese or English according to authors’ submission.
期刊最新文献
[Advances in inhibitory ion channel glycine receptors]. [Association between ADCY3 gene polymorphism and the effects of high-intensity interval training on body composition]. [Cardiac β-adrenergic receptor regulation of mitochondrial function in heart failure]. [Effects of high salt diet on renal vascular reactivity in mice detected by laser speckle contrast imaging]. [Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].
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