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10.1016/j.ebiom.2020.102763 http://scihub22266oqcxt.onion/10.1016/j.ebiom.2020.102763 32361250!7165294!32361250     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       EBioMedicine 2020 ; 55 (ä): 102763 Nephropedia Template TP {{tp|p=32361250|t=2020. Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients |pdf=|usr=}}{{32361250}} gab.com Text Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients JO: EBioMedicine http://www.kidney.de/pget.php?&tw=1&pmid=32361250 #FOAvip BACKGROUND: The dynamic changes of lymphocyte subsets and cytokines profiles of patients with novel coronavirus disease (COVID-19) and their correlation with the disease severity remain unclear. METHODS: Peripheral blood samples were longitudinally collected from 40 confirmed COVID-19 patients and examined for lymphocyte subsets by flow cytometry and cytokine profiles by specific immunoassays. FINDINGS: Of the 40 COVID-19 patients enrolled, 13 severe cases showed significant and sustained decreases in lymphocyte counts [0.6 (0.6-0.8)] but increases in neutrophil counts [4.7 (3.6-5.8)] than 27 mild cases [1.1 (0.8-1.4); 2.0 (1.5-2.9)]. Further analysis demonstrated significant decreases in the counts of T cells, especially CD8(+) T cells, as well as increases in IL-6, IL-10, IL-2 and IFN-gamma levels in the peripheral blood in the severe cases compared to those in the mild cases. T cell counts and cytokine levels in severe COVID-19 patients who survived the disease gradually recovered at later time points to levels that were comparable to those of the mild cases. Moreover, the neutrophil-to-lymphocyte ratio (NLR) (AUC=0.93) and neutrophil-to-CD8(+) T cell ratio (N8R) (AUC =0.94) were identified as powerful prognostic factors affecting the prognosis for severe COVID-19. INTERPRETATION: The degree of lymphopenia and a proinflammatory cytokine storm is higher in severe COVID-19 patients than in mild cases, and is associated with the disease severity. N8R and NLR may serve as a useful prognostic factor for early identification of severe COVID-19 cases. FUNDING: The National Natural Science Foundation of China, the National Science and Technology Major Project, the Health Commission of Hubei Province, Huazhong University of Science and Technology, and the Medical Faculty of the University of Duisburg-Essen and Stiftung Universitaetsmedizin, Hospital Essen, Germany. Twit Text FOAVip Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients ????EBioMedicine http://www.kidney.de/pget.php?&tw=1&pmid=32361250 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32361250 #FOAvip English Wikipedia <ref>{{Cite pmid|32361250}}</ref> Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients #MMPMID32361250 Liu J; Li S; Liu J; Liang B; Wang X; Wang H; Li W; Tong Q; Yi J; Zhao L; Xiong L; Guo C; Tian J; Luo J; Yao J; Pang R; Shen H; Peng C; Liu T; Zhang Q; Wu J; Xu L; Lu S; Wang B; Weng Z; Han C; Zhu H; Zhou R; Zhou H; Chen X; Ye P; Zhu B; Wang L; Zhou W; He S; He Y; Jie S; Wei P; Zhang J; Lu Y; Wang W; Zhang L; Li L; Zhou F; Wang J; Dittmer U; Lu M; Hu Y; Yang D; Zheng X EBioMedicine 2020[May]; 55 (ä): 102763 PMID32361250show ga BACKGROUND: The dynamic changes of lymphocyte subsets and cytokines profiles of patients with novel coronavirus disease (COVID-19) and their correlation with the disease severity remain unclear. METHODS: Peripheral blood samples were longitudinally collected from 40 confirmed COVID-19 patients and examined for lymphocyte subsets by flow cytometry and cytokine profiles by specific immunoassays. FINDINGS: Of the 40 COVID-19 patients enrolled, 13 severe cases showed significant and sustained decreases in lymphocyte counts [0.6 (0.6-0.8)] but increases in neutrophil counts [4.7 (3.6-5.8)] than 27 mild cases [1.1 (0.8-1.4); 2.0 (1.5-2.9)]. Further analysis demonstrated significant decreases in the counts of T cells, especially CD8(+) T cells, as well as increases in IL-6, IL-10, IL-2 and IFN-gamma levels in the peripheral blood in the severe cases compared to those in the mild cases. T cell counts and cytokine levels in severe COVID-19 patients who survived the disease gradually recovered at later time points to levels that were comparable to those of the mild cases. Moreover, the neutrophil-to-lymphocyte ratio (NLR) (AUC=0.93) and neutrophil-to-CD8(+) T cell ratio (N8R) (AUC =0.94) were identified as powerful prognostic factors affecting the prognosis for severe COVID-19. INTERPRETATION: The degree of lymphopenia and a proinflammatory cytokine storm is higher in severe COVID-19 patients than in mild cases, and is associated with the disease severity. N8R and NLR may serve as a useful prognostic factor for early identification of severe COVID-19 cases. FUNDING: The National Natural Science Foundation of China, the National Science and Technology Major Project, the Health Commission of Hubei Province, Huazhong University of Science and Technology, and the Medical Faculty of the University of Duisburg-Essen and Stiftung Universitaetsmedizin, Hospital Essen, Germany. |*Leukocyte Count[MESH] |Adult[MESH] |Aged[MESH] |Betacoronavirus/*immunology[MESH] |CD8-Positive T-Lymphocytes/immunology[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Comorbidity[MESH] |Coronavirus Infections/blood/complications/epidemiology/*immunology[MESH] |Cytokine Release Syndrome/etiology/immunology[MESH] |Cytokines/*blood[MESH] |Female[MESH] |Flow Cytometry[MESH] |Humans[MESH] |Lymphocyte Count[MESH] |Lymphocyte Subsets/*immunology[MESH] |Lymphopenia/etiology[MESH] |Male[MESH] |Middle Aged[MESH] |Neutrophils/immunology[MESH] |Pandemics[MESH] |Pneumonia, Viral/blood/complications/epidemiology/*immunology[MESH] |Prognosis[MESH] |SARS-CoV-2[MESH]Longitudinal characteristics of lymphocyte responses and cytokine prof(epmc).pdf DeepDyve Pubget Overpricing