Department of Allergology, Medical University of Gdansk, 7 Dębinki Street, 80-210 Gdansk, Poland.
Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland.
Int J Mol Sci. 2023 Sep 10;24(18):13910. doi: 10.3390/ijms241813910.
Mastocytosis is a clinically heterogenous, usually acquired disease of the mast cells with a survival time that depends on the time of onset. It ranges from skin-limited to systemic disease, including indolent and more aggressive variants. The presence of the oncogenic KIT p. D816V gene somatic mutation is a crucial element in the pathogenesis. However, further epigenetic regulation may also affect the expression of genes that are relevant to the pathology. Epigenetic alterations are responsible for regulating the expression of genes that do not modify the DNA sequence. In general, it is accepted that DNA methylation inhibits the binding of transcription factors, thereby down-regulating gene expression. However, so far, little is known about the epigenetic factors leading to the clinical onset of mastocytosis. Therefore, it is essential to identify possible epigenetic predictors, indicators of disease progression, and their link to the clinical picture to establish appropriate management and a therapeutic strategy. The aim of this study was to analyze genome-wide methylation profiles to identify differentially methylated regions (DMRs) in patients with mastocytosis compared to healthy individuals, as well as the genes located in those regulatory regions. Genome-wide DNA methylation profiling was performed in peripheral blood collected from 80 adult patients with indolent systemic mastocytosis (ISM), the most prevalent subvariant of mastocytosis, and 40 healthy adult volunteers. A total of 117 DNA samples met the criteria for the bisulfide conversion step and microarray analysis. Genome-wide DNA methylation analysis was performed using a MethylationEPIC BeadChip kit. Further analysis was focused on the genomic regions rather than individual CpG sites. Co-methylated regions (CMRs) were assigned via the CoMeBack method. To identify DMRs between the groups, a linear regression model with age as the covariate on CMRs was performed using Limma. Using the available data for cases only, an association analysis was performed between methylation status and tryptase levels, as well as the context of allergy, and anaphylaxis. KEGG pathway mapping was used to identify genes differentially expressed in anaphylaxis. Based on the DNA methylation results, the expression of 18 genes was then analyzed via real-time PCR in 20 patients with mastocytosis and 20 healthy adults. A comparison of the genome-wide DNA methylation profile between the mastocytosis patients and healthy controls revealed significant differences in the methylation levels of 85 selected CMRs. Among those, the most intriguing CMRs are 31 genes located within the regulatory regions. In addition, among the 10 CMRs located in the promoter regions, 4 and 6 regions were found to be either hypo- or hypermethylated, respectively. Importantly, three oncogenes-, , and -were identified as differentially methylated in mastocytosis patients, for the first time. Functional annotation revealed the most important biological processes in which the differentially methylated genes were involved as transcription, multicellular development, and signal transduction. The biological process related to histone H2A monoubiquitination (GO:0035518) was found to be enriched in association with higher tryptase levels, which may be associated with more aberrant mast cells and, therefore, more atypical mast cell disease. The signal in the BAIAP2 gene was detected in the context of anaphylaxis, but no significant differential methylation was found in the context of allergy. Furthermore, increased expression of genes encoding integral membrane components ( and ) was found in mastocytosis patients. This study confirms that patients with mastocytosis differ significantly in terms of methylation levels in selected CMRs of genes involved in specific molecular processes. The results of gene expression profiling indicate the increased expression of genes belonging to the integral component of the membrane in mastocytosis patients ( and ). Further work is warranted, especially in relation to the disease subvariants, to identify links between the methylation status and the symptoms and novel therapeutic targets.
肥大细胞增多症是一种临床上异质性的、通常为获得性的肥大细胞疾病,其生存时间取决于发病时间。它的范围从皮肤局限性到系统性疾病,包括惰性和更具侵袭性的变异。致癌的 KIT p. D816V 基因突变的存在是发病机制中的一个关键因素。然而,进一步的表观遗传调控也可能影响与病理学相关的基因的表达。表观遗传改变负责调节不改变 DNA 序列的基因的表达。一般来说,人们普遍认为 DNA 甲基化抑制转录因子的结合,从而下调基因表达。然而,到目前为止,人们对导致肥大细胞增多症临床发病的表观遗传因素知之甚少。因此,有必要确定可能的表观遗传预测因子、疾病进展的指标及其与临床特征的联系,以制定适当的管理和治疗策略。本研究旨在分析全基因组甲基化谱,以确定与健康个体相比,肥大细胞增多症患者中差异甲基化区域(DMRs)以及位于这些调控区域的基因。对 80 例惰性系统性肥大细胞增多症(ISM)成年患者和 40 名健康成年志愿者的外周血进行了全基因组 DNA 甲基化分析。共有 117 个 DNA 样本符合亚硫酸氢盐转化步骤和微阵列分析的标准。使用 MethylationEPIC BeadChip 试剂盒进行全基因组 DNA 甲基化分析。进一步的分析集中在基因组区域而不是单个 CpG 位点。通过 CoMeBack 方法分配共甲基化区域(CMRs)。为了在组间识别 DMRs,使用 Limma 对 CMRs 进行了带有年龄作为协变量的线性回归模型。仅使用现有病例数据,进行了与肥大细胞增多症患者的甲基化状态和类胰蛋白酶水平之间的关联分析,以及过敏和过敏反应的关联分析。KEGG 途径映射用于识别过敏反应中差异表达的基因。基于 DNA 甲基化结果,通过实时 PCR 分析了 20 例肥大细胞增多症患者和 20 例健康成年人的 18 个基因的表达。肥大细胞增多症患者与健康对照组的全基因组 DNA 甲基化谱比较显示,在 85 个选定的 CMRs 中,甲基化水平存在显著差异。其中,最有趣的 CMRs 是位于调控区域内的 31 个基因。此外,在位于启动子区域的 10 个 CMRs 中,分别发现 4 个和 6 个区域呈低甲基化或高甲基化。重要的是,首次在肥大细胞增多症患者中发现三个癌基因——、和——发生了差异甲基化。功能注释显示,差异甲基化基因参与的最重要的生物学过程是转录、多细胞发育和信号转导。与更高的类胰蛋白酶水平相关的组蛋白 H2A 单泛素化(GO:0035518)的生物学过程被发现是富集的,这可能与更多异常的肥大细胞有关,因此与更典型的肥大细胞疾病有关。BAIAP2 基因的信号在过敏反应的背景下被检测到,但在过敏反应的背景下没有发现明显的差异甲基化。此外,在肥大细胞增多症患者中发现了编码完整膜成分(和)的基因表达增加。本研究证实,肥大细胞增多症患者在参与特定分子过程的基因的选定 CMRs 中,甲基化水平存在显著差异。基因表达谱的结果表明,肥大细胞增多症患者的膜完整成分(和)的基因表达增加。需要进一步的工作,特别是与疾病亚型有关,以确定甲基化状态与症状之间的联系和新的治疗靶点。