基于VOSviewer软件的COVID-19关系图研究
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Relation graph of COVID-19 based on VOSviewer software
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    摘要:

    目的:寻找新型冠状病毒肺炎(coronavirus disease 2019,COVID-19)的研究方向,理清研究思路。方法:通过PubMed或中国知网数据库检索COVID-19的相关文献,检索时间起点为2019年11月1日,止点时间不限,利用VOSviewer软件对纳入的文献关键词构建研究热点关系网络图,通过不同节点的大小和复杂程度,发现不同研究热点之间的关联性,从而不断寻找新的研究热点,为疾病的研究指明方向。结果:COVID-19与严重急性呼吸综合征(severe acute respiratory syndrome,SARS)、中东呼吸综合征(Middle East respiratory syndrome,MERS)、血管紧张素转化酶2(angiotensin converting enzyme 2,ACE2)、spike蛋白等研究热点具有明显的相关性。部分研究者已经重视到重症患者细胞因子释放综合征(cytokine release syndrome,CRS)或细胞因子风暴的存在。ACE2与at1基因及其受体、mas受体、ang-(1-7)、心脏和肺损伤、肥胖或糖尿病患者的相关性较大。spike蛋白与T细胞表面抗原CD26(dpp4)、s1基因及其蛋白、弗林蛋白酶(furin)及跨膜丝氨酸蛋白酶2(transmembrane serine protease 2,TMPRSS2)具有一定相关性。细胞因子风暴与T细胞、B细胞及其相关的CD19、CD40和CD28受体等相关。同时CAR-T疗法(嵌合抗原受体T细胞免疫疗法)、白介素-6(interleukin-6,IL-6)与细胞因子风暴也有明显的相关性。结论:通过构建COVID-19研究热点网络图,可以在很短的时间内了解研究进展,寻找下一步研究思路。

    Abstract:

    Objective:To find out the research direction of coronavirus disease 2019(COVID-19) and explore the research ideas. Methods:Relevant literatures of COVID-19 were extracted on PubMed or CNKI Databases,with starting point of November 1,2019. VOSviewer software was used to build the keywords network map of included literatures. Discovered the correlation among different research hot points through the size and complexity of different nodes,so as to constantly look for new research ideas and point out the direction for disease research. Results:COVID-19 was significantly correlated with hot points of severe acute respiratory syn-drome(SARS),Middle East respiratory syndrome(MERS),angiotensin converting enzyme 2(ACE2) and spike protein. Some re-searchers have paid attention to the existence of cytokine release syndrome(CRS) or cytokine storm in critically ill patients. There was a strong correlation between ACE2 and at1 gene and its receptor,mas receptor,ang-(1-7),heart and lung injury,and obesity or diabetes. Spike protein was correlated with T cell surface antigen CD26(dpp4),S1 gene and its protein,furin protease and transmem-brane serine protease 2(TMPRSS2). Cytokine storm was associated with T cells,B cells and related CD19,CD40 and CD28 receptors. At the same time,CAR-T therapy(chimeric antigen receptor T cell immunotherapy) and interleukin-6(IL-6) were also significantly correlated with cytokine storm. Conclusion:By constructing the COVID-19 research network map,we can understand the research progress in a very short time and find out the further research ideas.

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胡仁旺,龚建平.基于VOSviewer软件的COVID-19关系图研究[J].重庆医科大学学报,2020,45(7):863-

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  • 在线发布日期: 2020-09-14
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