吴华英, 胡宏春, 刘宇峰, 李亮, 李静, 韩育明, 肖长江, 彭清华. 冠心病不稳定型心绞痛气虚血瘀证“病”与“证”DNA 甲基化差异表达谱分析[J]. Digital Chinese Medicine, 2023, 6(4): 451-466. DOI: 10.1016/j.dcmed.2024.01.008
引用本文: 吴华英, 胡宏春, 刘宇峰, 李亮, 李静, 韩育明, 肖长江, 彭清华. 冠心病不稳定型心绞痛气虚血瘀证“病”与“证”DNA 甲基化差异表达谱分析[J]. Digital Chinese Medicine, 2023, 6(4): 451-466. DOI: 10.1016/j.dcmed.2024.01.008
Citation: WU HY, HU HC, LIU YF, et al. Differential expression profiles analysis of DNA methylation between “disease” and “syndrome” in coronary heart disease-induced unstable angina patients with Qi deficiency and blood stasis syndrome. Digital Chinese Medicine, 2023, 6(4): 451-466. DOI: 10.1016/j.dcmed.2024.01.008
Citation: Citation: WU HY, HU HC, LIU YF, et al. Differential expression profiles analysis of DNA methylation between “disease” and “syndrome” in coronary heart disease-induced unstable angina patients with Qi deficiency and blood stasis syndrome. Digital Chinese Medicine, 2023, 6(4): 451-466. DOI: 10.1016/j.dcmed.2024.01.008

冠心病不稳定型心绞痛气虚血瘀证“病”与“证”DNA 甲基化差异表达谱分析

Differential expression profiles analysis of DNA methylation between “disease” and “syndrome” in coronary heart disease-induced unstable angina patients with Qi deficiency and blood stasis syndrome

  • 摘要:
    目的 探讨冠心病(CHD)所致不稳定型心绞痛气虚血瘀证患者外周血DNA甲基化位点/区域的差异表达谱及潜在分子机制,为冠心病病证结合研究提供科学依据。
    方法 根据预先确定的纳入和排除标准,将研究对象分为两组,即CHD诱发的不稳定型心绞痛组(G组)和健康对照组(J组),进行“病”分析,而不稳定型心绞痛患者进一步分为气虚血瘀证组(病例组)和非气虚血瘀证组(对照组)进行“证”分析。收集研究对象的一般资料和临床信息,空腹抽取外周静脉血,采用850K甲基化芯片检测各组DNA甲基化差异表达谱。使用ChAMP软件(V 2.14.0)进行差异甲基化数据分析,阈值为校正后P < 0.01。采用基因本体论(GO)和京都基因组百科全书(KEGG)数据库对相关映射基因进行功能和通路富集分析。
    结果 G组和J组比较,得出代表“病”的差异甲基化表达谱,共筛选出263个差异甲基化位点(DMPs),其中包括cg05845204、cg08906898等191个高甲基化位点和cg26919182、cg13149459等72个低甲基化位点。这些位点主要映射到148 个基因,包括 RNA结合基序蛋白 39(RBM39)、乙酰辅酶A酰基转移酶2(ACAA2)、蛋白磷酸酶 1 调节亚基 12B(PPP1R12B)和双特异性酪氨酸磷酸化调节激酶 2(DYRK2)。GO功能富集分析结果显示DMPs基因主要富集于染色体蛋白质定位、细胞形态发生调控、钙介导信号负向调控等方面。KEGG通路分析结果提示这些基因主要富集于脂肪酸代谢和内吞途径。此外,共鉴定出23个代表“病”的差异甲基化区域(DMRs),并识别出跨膜蛋白232(TMEM232)、核糖体蛋白P1(RPLP1)、过氧化物酶体发生因子10(PEX10)和叉头蛋白N3(FOXN3)等重叠基因,GO功能主要富集于Ras蛋白信号转导的负向调节和小GTP酶介导的信号转导、负向调节等方面。病例组与对照组比较获得代表“证”的差异甲基化表达谱,共筛选出1703个“证”相关DMPs,包括cg05573767等444个甲基化升高位点和1259个甲基化降低位点,例如cg19938535和cg03893872。 这些位点映射到1108个基因,例如核糖体蛋白S6激酶A2(RPS6KA2)、亮氨酸重复序列16A(LRRC16A)和刺猬酰基转移酶(HHAT)。GO功能富集分析,差异甲基化位点相关基因主要富集于跨膜受体蛋白丝氨酸/苏氨酸激酶信号通路、轴突发生等生物学功能。KEGG通路富集分析结果提示Rap1信号通路、5’-单磷酸腺苷激活蛋白激酶(AMPK)等信号通路参与了证候发展。研究共筛选出21个“证”相关DMRs,包括22个重叠基因,如粘蛋白4(MUC4)、三素修复核酸外切酶1(TREX1)和LIM 同源盒6(LHX6)。GO富集分析发现主要参与正向调节跨膜转运、调节脂肪酸代谢和铜离子结合等分子功能。
    结论 本研究揭示了冠心病不稳定心绞痛气虚血瘀证患者DMPs和DMRs的甲基化特征, 脂肪酸代谢、Rap1信号通路和其他分子功能的潜在表观遗传调控参与了冠心病“病”和“证”的发展。

     

    Abstract:
    Objective To explore the differential expression profiles of DNA methylation sites/regions and potential molecular mechanisms in the peripheral blood of coronary heart disease (CHD)-induced unstable angina pectoris patients with or without Qi deficiency and blood stasis syndrome, and to provide scientific evidence for the conbination of disease and syndrome.
    Methods According to the pre-determined inclusion and exclusion criteria, the study subjects were enrolled and divided into two groups namely CHD-induced unstable angina group (G group) and healthy control group (J group) to conduct “disease” analysis, while G group was further divided into Qi deficiency and blood stasis syndrome group (case group) and non-Qi deficiency blood stasis syndrome group (control group) to perform “syndrome” analysis. The general data and clinical information of the study subjects were collected. The peripheral venous blood was extracted on an empty stomach, and the Illumina Infinium MethylationEPIC BeadChip (850K methylation chip) was used to detect the differential expression profiles of DNA methylation in each group, ChAMP software (V 2.14.0) was used for the differential methylation data analysis, with a threshold of the adjusted P value (adj.P.val) < 0.01. Gene Ontology (GO) and Kyoto Encyclopedia of Genomes (KEGG) were employed for the functional and pathway enrichment analyses of related mapped genes.
    Results A total of 263 differentially methylated CpG positions (DMPs) were screened out between G and J groups, including 191 hypermethylated positions such as cg05845204 and cg08906898, and 72 hypomethylated positions such as cg26919182 and cg13149459. These positions were mainly mapped to 148 genes encompassing RNA binding motif protein 39 (RBM39), acetyl-CoA acyltransferase 2 (ACAA2), protein phosphatase 1 regulatory subunit 12B (PPP1R12B), and the dual-specificity tyrosine phosphorylation-regulated kinase 2 (DYRK2). GO functional enrichment analysis revealed that the genes of the DMPs were primarily enriched in protein localization to chromosomes, regulation of cell morphogenesis, negative regulation of calcium-mediated signals, etc. KEGG pathway analysis suggested that the genes were mainly enriched in fatty acid metabolism and endocytosis pathways. In addition, a total of 23 differential methylation regions (DMRs) were identified, with overlapping genes such as transmembrane protein 232 (TMEM232), ribosomal protein large P1 (RPLP1), peroxisomal biogenesis factor 10 (PEX10), and forkhead box N3 (FOXN3) recognized. It was found that GO functions were mainly enriched in the negative regulation of Ras protein signal transduction, small GTPase-mediated signal transduction, negative regulation, etc. A total of 1 703 differential methylation sites were screened out between case and control groups, including 444 increased methylation positions such as cg05573767 and 1 259 decreased methylationpositions such as cg19938535, and cg03893872. These positions were mapped to 1108 genes such as ribosomal protein S6 kinase A2 (RPS6KA2), leucine rich repeat containing 16A (LRRC16A), and hedgehog acyltransferase (HHAT). According to the GO functional enrichment analysis, the genes relating to the DMPs were mainly enriched in biological functions such as transmembrane receptor protein serine/threonine kinase signaling pathway and axonogenesis. The KEGG pathway enrichment analysis suggested the involvement of Rap1 signaling pathway, adenosine 5’-monophosphate-activated protein kinase (AMPK) signaling pathway, etc. A total of 21 DMRs were identified, including 22 overlapping genes such as mucin 4 (MUC4), three prime repair exonuclease 1 (TREX1), and LIM homeobox 6 (LHX6). GO analysis demonstrated that the genes primarily participated in molecular functions such as positive regulation of transmembrane transport, regulation of fatty acid metabolism, and copper ion binding.
    Conclusion This study reveals the methylation patterns of DMPs and DMRs in patients with Qi deficiency and blood stasis syndrome caused by CHD-induced unstable angina pectoris. Potential epigenetic regulation of fatty acid metabolism, Rap1 signaling, and other molecular functions are involved in the development of CHD between the "disease" and "syndrome".

     

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