Hellbach Fabian, Freuer Dennis, Meisinger Christa, Peters Annette, Winkelmann Juliane, Costeira Ricardo, Hauner Hans, Baumeister Sebastian-Edgar, Bell Jordana T, Waldenberger Melanie, Linseisen Jakob
Department of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany.
Medical Faculty, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilian University Munich, Munich, Germany.
Front Nutr. 2024 Jan 5;10:1295078. doi: 10.3389/fnut.2023.1295078. eCollection 2023.
Changes in DNA methylation can increase or suppress the expression of health-relevant genes. We investigated for the first time the relationship between habitual food consumption and changes in DNA methylation.
The German KORA FF4 and KORA Fit studies were used to study the change in methylation over a median follow-up of 4 years. Only subjects participating in both surveys and with available dietary and methylation data were included in the analysis (n = 465). DNA methylation was measured using the Infinium MethylationEPIC BeadChip (Illumina), resulting in 735,527 shared CpGs across both studies. Generalized estimating equation models with an interaction term of exposure and time point were used to analyze the association of 34 food groups, folic acid, and two dietary patterns with changes in DNA methylation over time.
The results were corrected for genomic inflation. Significant interaction terms indicate different effects between both time points. We observed only a few significant associations between food intake and change in DNA methylation, except for cream and spirit consumption. The annotated genes include CLN3, PROM1, DLEU7, TLL2, and UGT1A10.
We identified weak associations between food consumption and DNA methylation change. The differential results for cream and spirits, both consumed in low quantities, require replication in independent studies.
DNA甲基化的变化可增加或抑制与健康相关基因的表达。我们首次研究了习惯性食物消费与DNA甲基化变化之间的关系。
利用德国KORA FF4和KORA Fit研究,对4年中位随访期内的甲基化变化进行研究。分析仅纳入参与了两项调查且有可用饮食和甲基化数据的受试者(n = 465)。使用Infinium MethylationEPIC BeadChip(Illumina)测量DNA甲基化,两项研究共得到735,527个共享的CpG。采用带有暴露和时间点交互项的广义估计方程模型,分析34种食物组、叶酸和两种饮食模式与DNA甲基化随时间变化的关联。
对基因组膨胀进行了校正。显著的交互项表明两个时间点之间存在不同效应。除了奶油和烈酒消费外,我们仅观察到食物摄入量与DNA甲基化变化之间有少数显著关联。注释基因包括CLN3、PROM1、DLEU7、TLL2和UGT1A10。
我们发现食物消费与DNA甲基化变化之间存在微弱关联。奶油和烈酒的摄入量均较低,其差异结果需要在独立研究中进行重复验证。