Relation graph of COVID-19 based on VOSviewer software

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.