帕金森病和抑郁症转录组生物信息学分析
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董轩萁(1982-),女,副主任医师,神经内科硕士研究生,主要从事神经精神交叉疾病研究。E-mail:1029482857@qq.com。

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国家自然科学基金面上项目(81774281);湖南省中医药科研计划项目(2015109);湖南省卫生健康委科研计划课题项目(C2019039)


A bioinformatic analysis of the transcriptomes of Parkinson's disease and major depressive disorder
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    摘要:

    目的 抑郁症状(MDD)是帕金森病(PD)常见的非运动症状,探讨帕金森病和抑郁症可能具有的共同致病机制。方法 通过文本挖掘及转录组数据分析帕金森病与抑郁症共同的致病机制。结果 文本挖掘发现63.8%的MDD基因和32%的PD基因为共有基因及438个共有的生物学过程;转录组筛选出有统计学意义的10个共同差异基因:I类肌球蛋白(MYO1F)、活化免疫球蛋白样受体(LILRA2)、垂体腺苷酸环化酶激活多肽(ADCYAP1)、骨骼肌肌球蛋白轻链激酶(MYLK2)、钙结合蛋白2(CLSTN2)、钙调蛋白依赖性蛋白激酶4(CAMK4)、前蛋白转化酶枯草杆菌蛋白酶1(PCSK1)、瞬时受体电位阳离子通道5(TRPC5)、钠离子葡萄糖联合转运子(SLC5A1)、酪氨酸酶相关蛋白1(TYPR1)(P<0.01);基因功能富集分析发现PD和MDD具有相同的14个生物学过程,6个细胞组成,10个分子功能,并且有3个相同的京都基因与基因组百科全书(KEGG)信号通路(P<0.05);通过蛋白质网络构建,筛选出4个共同的关键基因(MYO1F、CAMK4、PCSK1、TRPC5);通过对蛋白质网络模块分析后发现关键模块具有共同的生物学过程。结论 帕金森病和抑郁症具有共同的致病基因及通路,这为帕金森病和抑郁症伴存现象提供了理论基础。

    Abstract:

    Objective To investigate the potential pathogenic mechanisms shared by Parkinson's disease (PD) and major depressive disorder (MDD) due to the fact that depressive symptoms are common non-motor symptoms of PD.Methods Text mining and transcriptomic data analysis were used to find the pathogenic mechanisms shared by PD and MDD.Results Text mining found that 63.8% of MDD genes and 32% of PD genes were shared genes, and the two had 438 shared biological processes; the transcriptomic data analysis screened out 10 significantly differential genes[myosin IF (MYO1F), leukocyte immunoglobulin-like receptor A2 (LILRA2), adenylate cyclase-activating polypeptide 1 (ADCYAP1), myosin light chain kinase 2 (MYLK2), calsyntenin 2 (CLSTN2), calcium/calmodulin-dependent protein kinase type IV (CAMK4), proprotein convertase subtilisin/kexin type 1 (PCSK1), transient receptor potential cation channel, subfamily C, member 5 (TRPC5), sodium/glucose cotransporter 1 (SLC5A1), tyrosinase-related protein 1 (TYPR1)] (P<0.01); the gene set enrichment analysis revealed 14 biological processes, 6 cell components, 10 molecular functions, and 3 identical Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways (P<0.05), all of which were shared by PD and MDD. Four key genes (MYO1F, CAMK4, PCSK1, and TRPC5) shared by PD and MDD were screened out by constructing protein-protein interaction networks (PPINs), and the analysis of the modules from the PPINs suggested that the key modules shared common biological processes.Conclusions PD and MDD share common pathogenic genes and pathways, which provides a theoretical basis for coincidence of PD with MDD.

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曹慧, 黄卫, 杨栋, 傅锦华, 彭红莉, 魏宏萍, 刘丽妮, 熊中杰, 董轩萁456.帕金森病和抑郁症转录组生物信息学分析[J].国际神经病学神经外科学杂志,2019,46(1):40-44111CAO Hui, HUANG Wei, YANG Dong, FU Jin-Hua, PENG Hong-Li, WEI Hong-Ping, LIU Li-Ni, XIONG Zhong-Jie, DONG Xuan-Qi222. A bioinformatic analysis of the transcriptomes of Parkinson's disease and major depressive disorder[J]. Journal of International Neurology and Neurosurgery,2019,46(1):40-44

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  • 收稿日期:2018-09-19
  • 最后修改日期:2019-01-03
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  • 在线发布日期: 2019-02-28
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