主观幸福感是衡量心理健康状况的重要指标。以前的研究表明,身体活动可以影响一个人的幸福,然而,潜在的分子机制仍有待澄清。在这项研究中,我们旨在评估线粒体基因与体力活动(PA)之间的潜在相互作用,以及它们对个体幸福感的综合影响.本研究纳入了英国生物银行的SWB表型数据,包括工作/工作满意度等九个方面,健康满意度,家庭关系满意度,友谊满意度,财务状况满意度,沮丧了整整一周,一般的幸福,一般幸福与自己的健康和相信自己的生活是有意义的。我们分别对每个方面进行了分析。首先,进行线粒体范围关联研究(MiWAS)以评估线粒体单核苷酸多态性SNP与SWB各方面的关联。然后进行线粒体DNA(mtDNA)突变和PA的相互作用分析,以评估它们对SWB状态的联合影响。同时,这两个分析是分别对女性和男性组以及总样本进行的,所有这些都在包括性别在内的可能混杂因素的控制下,年龄,汤森剥夺指数(TDI),教育,酒精消费,吸烟习惯,和10个主要成分。MiWAS分析鉴定了与SWB的9个表型相关的45个mtSNP。例如,m.15218A>G对MT-CYB在总受试者健康满意度表型的影响。性别特异性分析发现,女性有30个mtSNPs,男性有58个mtSNPs,涉及13个mt基因。在mtDNA-PA相互作用分析中,我们还确定了SWB的10个重要的mtDNA-PA相互作用集。例如,m.13020T>C(MT-ND5)与所有受试者的SWB财务状况满意度表型相关(P=0.00577)。此外,MiWAS分析确定了与SWB相关的12种mt基因变异,作为MT-ND1和MT-ND2。然而,在mtDNA-PA相互作用中,我们检测到7个影响精神疾病发生的mtDNA,如友谊满意度表型(MT-ND1上的m.3394T>C)。我们的研究结果表明,线粒体功能和身体活动之间的相互作用与精神疾病发展的风险有关。
Subjective well-being (SWB) is an important measure for mental health status. Previous research has shown that physical activity can affect an individual\'s well-being, yet the underlying molecular mechanism remains to be clarified. In this study, we aim to evaluate the potential interactions between mitochondrial genes and physical activity (PA) as well as their combined effects on individual well-being. SWB phenotype data in UK Biobank were enrolled for this study including nine aspects such as work/job satisfaction, health satisfaction, family relationship satisfaction, friendships satisfaction, financial situation satisfaction, ever depressed for a whole week, general happiness, general happiness with own health and belief that own life is meaningful. We made analysis for each aspects separately. Firstly, mitochondria-wide association studies (MiWAS) was conducted to assess the association of mitochondrial Single Nucleotide Polymorphisms SNP with each aspect of SWB. Then an interaction analysis of mitochondrial DNA (mtDNA) mutation and PA was performed to evaluate their joint effect on SWB status. Meanwhile, these two analysis were made for female and male group separately as well as the total samples, all under the control of possible confounding factors including gender, age, Townsend Deprivation Index (TDI), education, alcohol consumption, smoking habits, and 10 principal components. MiWAS analysis identified 45 mtSNPs associated with 9 phenotypes of SWB. For example, m.15218A > G on MT-CYB in the health satisfaction phenotype of the total subjects. Gender-specific analyses found 30 mtSNPs in females and 58 in males, involving 13 mtGenes. In mtDNA-PA interaction analysis, we also identified 10 significant mtDNA-PA interaction sets for SWB. For instance, m.13020 T > C (MT-ND5) was associated with the SWB financial situation satisfaction phenotype in all subjects (P = 0.00577). In addition, MiWAS analysis identified 12 mtGene variants associated with SWB, as MT-ND1 and MT-ND2. However, in mtDNA-PA interactions we detected 7 mtDNA affecting psychiatric disorders occurring, as in the friendships satisfaction phenotype (m.3394 T > C on MT-ND1). Our study results suggest an implication of the interaction between mitochondrial function and physical activity in the risk of psychiatric disorder development.