Author: Liu, Kun; Yang, Tong; Peng, Xueâ€Fang; Lv, Shouâ€Ming; Ye, Xiaoâ€lei; Zhao, Tianâ€Shuo; Li, Jiaâ€Chen; Shao, Zhongâ€Jun; Lu, Qingâ€Bin; Li, Jingâ€Yun; Liu, Wei
                    Title: A systematic metaâ€analysis of immune signatures in patients with COVIDâ€19  Cord-id: nqkby912  Document date: 2020_11_20
                    ID: nqkby912
                    
                    Snippet: Currently severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) transmission has been on the rise worldwide. Predicting outcome in COVIDâ€19 remains challenging, and the search for more robust predictors continues. We made a systematic metaâ€analysis on the current literature from 1 January 2020 to 15 August 2020 that independently evaluated 32 circulatory immunological signatures that were compared between patients with different disease severity was made. Their roles as predictors
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: Currently severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) transmission has been on the rise worldwide. Predicting outcome in COVIDâ€19 remains challenging, and the search for more robust predictors continues. We made a systematic metaâ€analysis on the current literature from 1 January 2020 to 15 August 2020 that independently evaluated 32 circulatory immunological signatures that were compared between patients with different disease severity was made. Their roles as predictors of disease severity were determined as well. A total of 149 distinct studies that evaluated ten cytokines, four antibodies, four T cells, B cells, NK cells, neutrophils, monocytes, eosinophils and basophils were included. Compared with the nonâ€severe patients of COVIDâ€19, serum levels of Interleukins (IL)â€2, ILâ€2R, ILâ€4, ILâ€6, ILâ€8, ILâ€10 and tumor necrosis factor α were significantly upâ€regulated in severe patients, with the largest interâ€group differences observed for ILâ€6 and ILâ€10. In contrast, ILâ€5, ILâ€1β and Interferon (IFN)â€Î³ did not show significant interâ€group difference. Four mediators of T cells count, including CD3(+) T, CD4(+) T, CD8(+) T, CD4(+)CD25(+)CD127(â€) Treg, together with CD19(+) B cells count and CD16(+)CD56(+) NK cells were all consistently and significantly depressed in severe group than in nonâ€severe group. SARSâ€CoVâ€2 specific IgA and IgG antibodies were significantly higher in severe group than in nonâ€severe group, while IgM antibody in the severe patients was slightly lower than those in the nonâ€severe patients, and IgE antibody showed no significant interâ€group differences. The combination of cytokines, especially ILâ€6 and ILâ€10, and T cell related immune signatures can be used as robust biomarkers to predict disease severity following SARSâ€CoVâ€2 infection.
 
  Search related documents: 
                                Co phrase  search for related documents- abstract title and acute phase: 1, 2, 3, 4, 5, 6, 7
  - abstract title and acute sars infection: 1, 2
  
 
                                Co phrase  search for related documents, hyperlinks ordered by date