Gunawardhana Lakshitha P, Gibson Peter G, Simpson Jodie L, Benton Miles C, Lea Rodney A, Baines Katherine J
Priority Research Centre for Asthma and Respiratory Disease; Hunter Medical Research Institute; The University of Newcastle; Newcastle, NSW Australia; Department of Respiratory & Sleep Medicine; HMRI; John Hunter Hospital; New Lambton, NSW Australia.
Genomics Research Centre; Institute of Health and Biomedical Innovation; Queensland Institute of Technology; Brisbane, QLD Australia.
Epigenetics. 2014 Sep;9(9):1302-16. doi: 10.4161/epi.33066. Epub 2014 Aug 11.
Epigenetic changes including DNA methylation caused by environmental exposures may contribute to the heterogeneous inflammatory response in asthma. Here we investigate alterations in DNA methylation of purified blood monocytes that are associated with inflammatory phenotypes of asthma. Peripheral blood was collected from adults with eosinophilic asthma (EA; n = 21), paucigranulocytic asthma (PGA; n = 22), neutrophilic asthma (NA; n = 9), and healthy controls (n = 10). Blood monocytes were isolated using ficoll density gradient and immuno-magnetic cell separation. Bisulfite converted genomic DNA was hybridized to Illumina Infinium Methylation27 arrays and analyzed for differential methylation using R/Bioconductor packages; networks of gene interactions were identified using the STRING database. Compared with healthy controls, differentially methylated CpG loci were identified in EA (n = 413), PGA (n = 495), and NA (n = 89). We found that 223, 237, and 72 loci were significantly hypermethylated in EA, PGA, and NA, respectively. Nine genes were common to all three phenotypes and showed increased methylation in asthma. Three pathway networks were identified in EA, involved in purine metabolism, calcium signaling, and ECM-receptor interaction. In PGA, two networks were identified, involved in neuroactive ligand-receptor interaction and ubiquitin mediated proteolysis. In NA, one network was identified involving sFRP1 as a key node, over representing the Wnt signaling pathway. We have identified characteristic alterations in DNA methylation that are associated with inflammatory phenotypes of asthma and may contribute to the disease mechanisms. This network-based characterization may help in the development of epigenetic biomarkers and therapeutic targets for asthma.
包括由环境暴露引起的DNA甲基化在内的表观遗传变化可能导致哮喘中异质性炎症反应。在此,我们研究与哮喘炎症表型相关的纯化血液单核细胞DNA甲基化的改变。从嗜酸性粒细胞性哮喘(EA;n = 21)、少粒细胞性哮喘(PGA;n = 22)、中性粒细胞性哮喘(NA;n = 9)的成人患者及健康对照者(n = 10)中采集外周血。使用菲可密度梯度和免疫磁珠细胞分离法分离血液单核细胞。经亚硫酸氢盐转化的基因组DNA与Illumina Infinium Methylation27芯片杂交,并使用R/Bioconductor软件包分析差异甲基化情况;使用STRING数据库鉴定基因相互作用网络。与健康对照相比,在EA(n = 413)、PGA(n = 495)和NA(n = 89)中鉴定出差异甲基化的CpG位点。我们发现,EA、PGA和NA中分别有223、237和72个位点显著高甲基化。所有三种表型共有9个基因,且在哮喘中甲基化增加。在EA中鉴定出三个信号通路网络,涉及嘌呤代谢、钙信号传导和细胞外基质受体相互作用。在PGA中,鉴定出两个网络,涉及神经活性配体-受体相互作用和泛素介导的蛋白水解。在NA中,鉴定出一个以sFRP1为关键节点的网络,该网络过度代表Wnt信号通路。我们已经鉴定出与哮喘炎症表型相关的DNA甲基化特征性改变,这些改变可能有助于揭示疾病机制。这种基于网络的特征描述可能有助于开发哮喘的表观遗传生物标志物和治疗靶点。