Macartney-Coxson Donia, Benton Miles C, Blick Ray, Stubbs Richard S, Hagan Ronald D, Langston Michael A
Biomarkers Group, Institute of Environmental Science and Research (ESR), Wellington, 5022 New Zealand.
Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD 4059 Australia.
Clin Epigenetics. 2017 May 3;9:48. doi: 10.1186/s13148-017-0344-4. eCollection 2017.
Epigenetic mechanisms provide an interface between environmental factors and the genome and are known to play a role in complex diseases such as obesity. These mechanisms, including DNA methylation, influence the regulation of development, differentiation and the establishment of cellular identity. Here we employ two approaches to identify differential methylation between two white adipose tissue depots in obese individuals before and after gastric bypass and significant weight loss. We analyse genome-wide DNA methylation data using (a) traditional paired tests to identify significantly differentially methylated loci (Bonferroni-adjusted ≤ 1 × 10) and (b) novel combinatorial algorithms to identify loci that differentiate between tissue types.
Significant differential methylation was observed for 3239 and 7722 CpG sites, including 784 and 1129 extended regions, between adipose tissue types before and after significant weight loss, respectively. The vast majority of these extended differentially methylated regions (702) were consistent across both time points and enriched for genes with a role in transcriptional regulation and/or development (e.g. homeobox genes). Other differentially methylated loci were only observed at one time point and thus potentially highlight genes important to adipose tissue dysfunction observed in obesity. Strong correlations ( > 0.75, ≤ 0.001) were observed between changes in DNA methylation (subcutaneous adipose vs omentum) and changes in clinical trait, in particular for CpG sites within and fasting glucose and four CpG sites within and HDL. A single CpG site (cg00838040, ) gave strong tissue separation, with validation in independent subcutaneous ( = 681) and omental ( = 33) adipose samples.
This is the first study to report a genome-wide DNA methylome comparison of subcutaneous abdominal and omental adipose before and after weight loss. The combinatorial approach we utilised is a powerful tool for the identification of methylation loci that strongly differentiate between these tissues. This study provides a solid basis for future research focused on the development of adipose tissue and its potential dysfunction in obesity, as well as the role DNA methylation plays in these processes.
表观遗传机制在环境因素与基因组之间提供了一个界面,已知其在肥胖等复杂疾病中发挥作用。这些机制,包括DNA甲基化,影响发育、分化的调控以及细胞身份的确立。在此,我们采用两种方法来识别肥胖个体在胃旁路手术前后及显著体重减轻后,两种白色脂肪组织库之间的差异甲基化情况。我们使用(a)传统配对检验分析全基因组DNA甲基化数据,以识别显著差异甲基化位点(经Bonferroni校正,P≤1×10),以及(b)新颖的组合算法来识别区分组织类型的位点。
在显著体重减轻前后,脂肪组织类型之间分别观察到3239个和7722个CpG位点存在显著差异甲基化,包括784个和1129个延伸区域。这些延伸的差异甲基化区域中的绝大多数(702个)在两个时间点上都是一致的,并且富含在转录调控和/或发育中起作用的基因(如同源框基因)。其他差异甲基化位点仅在一个时间点观察到,因此可能突出了肥胖中观察到的对脂肪组织功能障碍重要的基因。在DNA甲基化变化(皮下脂肪与网膜)与临床特征变化之间观察到强相关性(r>0.75,P≤0.001),特别是对于甘油三酯和空腹血糖内的CpG位点以及高密度脂蛋白内的四个CpG位点。单个CpG位点(cg00838040,P<0.0001)实现了强大的组织分离,并在独立的皮下(n = 681)和网膜(n = 33)脂肪样本中得到验证。
这是第一项报告体重减轻前后皮下腹部和网膜脂肪全基因组DNA甲基化组比较的研究。我们使用的组合方法是识别这些组织之间强烈区分的甲基化位点的有力工具。本研究为未来聚焦于脂肪组织发育及其在肥胖中潜在功能障碍,以及DNA甲基化在这些过程中所起作用的研究提供了坚实基础。