Fragoso-Bargas Nicolas, Mcbride Nancy S, Lee-Ødegård Sindre, Lawlor Deborah A, Yousefi Paul D, Moen Gunn-Helen, Opsahl Julia O, Jenum Anne Karen, Franks Paul W, Prasad Rashmi B, Qvigstad Elisabeth, Birkeland Kåre I, Richardsen Kåre R, Sommer Christine
Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway.
Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
BMC Genomics. 2025 Jan 22;26(1):62. doi: 10.1186/s12864-025-11262-0.
Few studies have explored the association between DNA methylation and physical activity. The aim of this study was to evaluate the association of objectively measured hours of sedentary behavior (SB) and moderate physical activity (MPA) with DNA methylation. We further aimed to explore the association between SB or MPA related CpG sites and cardiometabolic traits, gene expression, and genetic variation.
For discovery, we performed cross sectional analyses in pregnant women from the Epigenetics in pregnancy (EPIPREG) sample with both DNA methylation (Illumina MethylationEPIC BeadChip) and objectively measured physical activity data (SenseWear™ Pro 3 armband) (European = 244, South Asian = 109). For EWAS of SB and MPA, two main models were designed: model (1) a linear mixed model adjusted for age, smoking, blood cell composition, including ancestry as random intercept, and model (2) which was additionally adjusted for the total number of steps per day. In model 1, we did not identify any CpG sites associated with neither SB nor MPA. In model 2, SB was positively associated (false discovery rate, FDR < 0.05) with two CpG sites within the VSX1 gene. Both CpG sites were positively associated with BMI and were associated with several genetic variants in cis. MPA was associated with 122 significant CpG sites at FDR < 0.05 (model 2). We further analyzed the ten most statistically significant MPA related CpG sites and found that they presented opposite associations with sedentary behavior and BMI. We were not able to replicate the SB and MPA-related CpG sites in the Avon Longitudinal Study of Parents and Children (ALSPAC). ALSPAC had available objectively measured physical activity data from Actigraph (without steps/day available) and leucocyte DNA methylation data collected during adolescence (n = 408, European).
This study suggests associations of objectively measured SB and MPA with maternal DNA methylation in peripheral blood leukocytes, that needs to be confirmed in larger samples of similar study design.
很少有研究探讨DNA甲基化与身体活动之间的关联。本研究的目的是评估客观测量的久坐行为(SB)和中度身体活动(MPA)时间与DNA甲基化之间的关联。我们还旨在探讨与SB或MPA相关的CpG位点与心脏代谢特征、基因表达和基因变异之间的关联。
为了进行发现性研究,我们对来自孕期表观遗传学(EPIPREG)样本的孕妇进行了横断面分析,这些孕妇同时拥有DNA甲基化数据(Illumina MethylationEPIC BeadChip)和客观测量的身体活动数据(SenseWear™ Pro 3臂带)(欧洲人 = 244,南亚人 = 109)。对于SB和MPA的全基因组关联研究(EWAS),设计了两个主要模型:模型(1)是一个线性混合模型,对年龄、吸烟、血细胞组成进行了调整,包括将祖先作为随机截距,模型(2)在此基础上还对每天的总步数进行了调整。在模型1中,我们没有发现任何与SB或MPA相关的CpG位点。在模型2中,SB与VSX1基因内的两个CpG位点呈正相关(错误发现率,FDR < 0.05)。这两个CpG位点均与BMI呈正相关,并且与顺式中的几个基因变异相关。MPA与FDR < 0.05时的122个显著CpG位点相关(模型2)。我们进一步分析了十个统计学上最显著的与MPA相关的CpG位点,发现它们与久坐行为和BMI呈现相反的关联。我们无法在阿冯父母与儿童纵向研究(ALSPAC)中重复与SB和MPA相关的CpG位点。ALSPAC拥有来自Actigraph的客观测量身体活动数据(无每日步数)以及青春期收集的白细胞DNA甲基化数据(n = 408,欧洲人)。
本研究表明,客观测量的SB和MPA与外周血白细胞中的母体DNA甲基化存在关联,这需要在更大样本的类似研究设计中得到证实。