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乙酰胆碱受体抗体阳性重症肌无力外周血单个核细胞miRNA表达谱
引用本文:谭颖,管宇宙,朱立,崔丽英.乙酰胆碱受体抗体阳性重症肌无力外周血单个核细胞miRNA表达谱[J].国际神经病学神经外科学杂志,2019,46(6):589-595.
作者姓名:谭颖  管宇宙  朱立  崔丽英
作者单位:中国医学科学院北京协和医院神经科/北京协和医学院,北京市100010;中国医学科学院北京协和医院核医学科,北京市100010;中国医学科学院北京协和医院神经科/北京协和医学院,北京市100010;中国医学科学院神经科学中心,北京市100010
基金项目:首都临床特色应用研究(Z181100001718145)
摘    要:目的本研究对比乙酰胆碱受体抗体阳性重症肌无力患者(AchR-MG)和正常对照组外周血单个核细胞miRNA,预测对AchR-MG发病可能产生影响的通路,为进一步探讨发病机制打下基础。方法采用病例对照研究方法,基于高通量测序,筛选了AchR-MG特异性表达的miRNA。利用TargetScan、miRanda进行靶基因交叉预测,利用基因条目(GO)和京都基因与基因组百科全书(KEGG)进行富集分析。结果共筛选出差异性miRNA 28种,其中上调17种,下调11种。差异最显著的前5个为:mmu-miR-3968、miR-4785、miR-210-3p、miR-664a-3p、miR-2277-5p。miR-4785预测到METTL22、TMEM38A、ZNF324、ITGB4、CDC34等395种靶基因。最终识别了319条GO term(P 0.01),获得了119个的风险通路(P0.05)。结论 AchR-MG特异性表达miR-4785、miR-210-3p、miR-664a-3p、miR-2277-5p等28种miRNA。以Wnt信号通路为代表的多种通路可能参与AchR-MG的发病。

关 键 词:重症肌无力  乙酰胆碱受体抗体  miRNA  基因条目  京都基因与基因组百科全书  富集分析
收稿时间:2019/9/21 0:00:00
修稿时间:2019/12/3 0:00:00

Expression profile of microRNAs in peripheral blood mononuclear cells of patients with myasthenia gravis with acetylcholine receptor antibodies
TAN Ying,GUAN Yu-Zhou,ZHU Li,CUI Li-Ying.Expression profile of microRNAs in peripheral blood mononuclear cells of patients with myasthenia gravis with acetylcholine receptor antibodies[J].Journal of International Neurology and Neurosurgery,2019,46(6):589-595.
Authors:TAN Ying  GUAN Yu-Zhou  ZHU Li  CUI Li-Ying
Institution:Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100010, China
Abstract:Objective To investigate the difference in the expression profile of microRNAs (miRNAs) in peripheral blood mononuclear cells (PBMCs) between patients with myasthenia gravis with acetylcholine receptor antibodies (AchR-MG) and healthy controls, predict the possible pathways involved in the development of AchR-MG, and to lay a foundation for further research on the pathogenesis of AchR-MG.Methods A case-control study was performed to screen out specifically expressed miRNAs in AchR-MG patients based on high-throughput sequencing. TargetScan and miRanda were used for cross-prediction of target genes, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed.Results A total of 28 differentially expressed miRNAs were screened out, among which 17 were upregulated and 11 were downregulated. The top 5 differentially expressed miRNAs were mmu-miR-3968, miR-4785, miR-210-3p, miR-664a-3p, and miR-2277-5p. A total of 395 target genes, such as METTL22, TMEM38A, ZNF324, ITGB4, and CDC34, were predicted for miR-4785. A total of 319 GO terms were identified (P<0.01), and 119 risk pathways were obtained (P<0.05).Conclusions A total of 28 specifically expressed miRNAs are found in AchR-MG, including miR-4785, miR-210-3p, miR-664a-3p, and miR-2277-5p. Multiple pathways, including the Wnt signaling pathway, may be involved in the pathogenesis of AchR-MG.
Keywords:myasthenia gravis|acetylcholine receptor antibody|microRNA|gene ontology|Kyoto Encyclopedia of Genes and Genomes|enrichment analysis
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