Impact of a diet and activity health promotion intervention on regional patterns of DNA methylation

被引:38
作者
Hibler, Elizabeth [1 ]
Huang, Lei [2 ]
Andrade, Jorge [2 ,3 ]
Spring, Bonnie [1 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, 680 North Lakeshore Dr, Chicago, IL 60611 USA
[2] Univ Chicago, Biol Sci Div, Ctr Res Informat, 900 E 57th St, Chicago, IL 60637 USA
[3] Univ Chicago, Dept Pediat, 900 E 57th St, Chicago, IL 60637 USA
关键词
Lifestyle; Randomized trial; DNA methylation; Diet; Physical activity; SKELETAL-MUSCLE; PHYSICAL-ACTIVITY; WEIGHT-LOSS; ADIPOSE-TISSUE; EXERCISE; STRESS; ARRAY; ADAPTATION; EFFECTOR; BREAST;
D O I
10.1186/s13148-019-0707-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Studies demonstrate the impact of diet and physical activity on epigenetic biomarkers, specifically DNA methylation. However, no intervention studies have examined the combined impact of dietary and activity changes on the blood epigenome. The objective of this study was to examine the impact of the Make Better Choices 2 (MBC2) healthy diet and activity intervention on patterns of epigenome-wide DNA methylation. The MBC2 study was a 9-month randomized controlled trial among adults aged 18-65 with non-optimal levels of health behaviors. The study compared three 12-week interventions to (1) simultaneously increase exercise and fruit/vegetable intake, while decreasing sedentary leisure screen time; (2) sequentially increase fruit/vegetable intake and decrease leisure screen time first, then increase exercise; (3) increase sleep and decrease stress (control). We collected blood samples at baseline, 3 and 9 months, and measured DNA methylation using the Illumina EPIC (850 k) BeadChip. We examined region-based differential methylation patterns using linear regression models with the false discovery rate of 0.05. We also conducted pathway analysis using gene ontology (GO), KEGG, and IPA canonical pathway databases. Results We found no differences between the MBC2 population (n = 340) and the subsample with DNA methylation measured (n = 68) on baseline characteristics or the impact of the intervention on behavior change. We identified no differentially methylated regions at baseline between the control versus intervention groups. At 3 versus 9 months, we identified 154 and 298 differentially methylated regions, respectively, between controls compared to pooled samples from sequential and simultaneous groups. In the GO database, we identified two gene ontology terms related to hemophilic cell adhesion and cell-cell adhesion. In IPA analysis, we found pathways related to carcinogenesis including PI3K/AKT, Wnt/beta-catenin, sonic hedgehog, and p53 signaling. We observed an overlap between 3 and 9 months, including the GDP-l-fucose biosynthesis I, methylmalonyl metabolism, and estrogen-mediated cell cycle regulation pathways. Conclusions The results demonstrate that the MBC2 diet and physical activity intervention impacts patterns of DNA methylation in gene regions related to cell cycle regulation and carcinogenesis. Future studies will examine DNA methylation as a biomarker to identify populations that may particularly benefit from incorporating health behavior change into plans for precision prevention.
引用
收藏
页数:12
相关论文
共 73 条
[31]   DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples [J].
Jung, Sang-Eun ;
Lim, Seung Min ;
Hong, Sae Rom ;
Lee, Eun Hee ;
Shin, Kyoung-Jin ;
Lee, Hwan Young .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2019, 38 :1-8
[32]   IRF-2 haploinsufficiency causes enhanced imiquimod-induced psoriasis-like skin inflammation [J].
Kawaguchi, Makiko ;
Oka, Tomonori ;
Sugaya, Makoto ;
Suga, Hiraku ;
Kimura, Takayuki ;
Morimura, Sohshi ;
Fujita, Hideki ;
Sato, Shinichi .
JOURNAL OF DERMATOLOGICAL SCIENCE, 2018, 90 (01) :35-45
[33]   Co-expression of pregnane X receptor and ATP-binding cassette sub-family B member 1 in peripheral blood: A prospective indicator for drug resistance prediction in non-small cell lung cancer [J].
Kong, Qingnuan ;
Han, Zenglei ;
Zuo, Xiaoli ;
Wei, Hongjun ;
Huang, Weiqing .
ONCOLOGY LETTERS, 2016, 11 (05) :3033-3039
[34]   Transcriptomic and epigenetic responses to short-term nutrient-exercise stress in humans [J].
Laker, R. C. ;
Garde, C. ;
Camera, D. M. ;
Smiles, W. J. ;
Zierath, J. R. ;
Hawley, J. A. ;
Barres, R. .
SCIENTIFIC REPORTS, 2017, 7
[35]   The sva package for removing batch effects and other unwanted variation in high-throughput experiments [J].
Leek, Jeffrey T. ;
Johnson, W. Evan ;
Parker, Hilary S. ;
Jaffe, Andrew E. ;
Storey, John D. .
BIOINFORMATICS, 2012, 28 (06) :882-883
[36]   Leukocyte recruitment in inflammation: basic concepts and new mechanistic insights based on new models and microscopic imaging technologies [J].
Leick, Marion ;
Azcutia, Veronica ;
Newton, Gail ;
Luscinskas, Francis W. .
CELL AND TISSUE RESEARCH, 2014, 355 (03) :647-656
[37]   Epigenetic adaptation to regular exercise in humans [J].
Ling, Charlotte ;
Ronn, Tina .
DRUG DISCOVERY TODAY, 2014, 19 (07) :1015-1018
[38]   Immune adaptation to chronic intense exercise training: new microarray evidence [J].
Liu, Dongmei ;
Wang, Ru ;
Grant, Ana R. ;
Zhang, Jinming ;
Gordon, Paul M. ;
Wei, Yuqin ;
Chen, Peijie .
BMC GENOMICS, 2017, 18
[39]   Loci-specific differences in blood DNA methylation in HBV-negative populations at risk for hepatocellular carcinoma development [J].
Lubecka, Katarzyna ;
Flower, Kirsty ;
Beetch, Megan ;
Qiu, Jay ;
Kurzava, Lucinda ;
Buvala, Hannah ;
Ruhayel, Adam ;
Gawrieh, Samer ;
Liangpunsakul, Suthat ;
Gonzalez, Tracy ;
McCabe, George ;
Chalasani, Naga ;
Flanagan, James M. ;
Stefanska, Barbara .
EPIGENETICS, 2018, 13 (06) :605-626
[40]   Pregnane X Receptor as the "Sensor and Effector" in Regulating Epigenome [J].
Ma, Xi ;
Chen, Jingshu ;
Tian, Yanan .
JOURNAL OF CELLULAR PHYSIOLOGY, 2015, 230 (04) :752-757