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10.26508/lsa.202000955 http://scihub22266oqcxt.onion/10.26508/lsa.202000955 33361110!7768198!33361110     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33361110&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Life+Sci+Alliance 2021 ; 4 (2): ? Nephropedia Template TP {{tp|p=33361110|t=2021. Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression |pdf=|usr=}}{{33361110}} gab.com Text Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression JO: Life Sci Alliance http://www.kidney.de/pget.php?&tw=1&pmid=33361110 #FOAvip With a rising incidence of COVID-19-associated morbidity and mortality worldwide, it is critical to elucidate the innate and adaptive immune responses that drive disease severity. We performed longitudinal immune profiling of peripheral blood mononuclear cells from 45 patients and healthy donors. We observed a dynamic immune landscape of innate and adaptive immune cells in disease progression and absolute changes of lymphocyte and myeloid cells in severe versus mild cases or healthy controls. Intubation and death were coupled with selected natural killer cell KIR receptor usage and IgM+ B cells and associated with profound CD4 and CD8 T-cell exhaustion. Pseudo-temporal reconstruction of the hierarchy of disease progression revealed dynamic time changes in the global population recapitulating individual patients and the development of an eight-marker classifier of disease severity. Estimating the effect of clinical progression on the immune response and early assessment of disease progression risks may allow implementation of tailored therapies. Twit Text FOAVip Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression ????Life Sci Alliance http://www.kidney.de/pget.php?&tw=1&pmid=33361110 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33361110 #FOAvip English Wikipedia <ref>{{Cite pmid|33361110}}</ref> Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression #MMPMID33361110 Rendeiro AF; Casano J; Vorkas CK; Singh H; Morales A; DeSimone RA; Ellsworth GB; Soave R; Kapadia SN; Saito K; Brown CD; Hsu J; Kyriakides C; Chiu S; Cappelli LV; Cacciapuoti MT; Tam W; Galluzzi L; Simonson PD; Elemento O; Salvatore M; Inghirami G Life Sci Alliance 2021[Feb]; 4 (2): ? PMID33361110show ga With a rising incidence of COVID-19-associated morbidity and mortality worldwide, it is critical to elucidate the innate and adaptive immune responses that drive disease severity. We performed longitudinal immune profiling of peripheral blood mononuclear cells from 45 patients and healthy donors. We observed a dynamic immune landscape of innate and adaptive immune cells in disease progression and absolute changes of lymphocyte and myeloid cells in severe versus mild cases or healthy controls. Intubation and death were coupled with selected natural killer cell KIR receptor usage and IgM+ B cells and associated with profound CD4 and CD8 T-cell exhaustion. Pseudo-temporal reconstruction of the hierarchy of disease progression revealed dynamic time changes in the global population recapitulating individual patients and the development of an eight-marker classifier of disease severity. Estimating the effect of clinical progression on the immune response and early assessment of disease progression risks may allow implementation of tailored therapies. |Adaptive Immunity/*immunology[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |CD4-Positive T-Lymphocytes/immunology[MESH] |CD8-Positive T-Lymphocytes/immunology[MESH] |COVID-19/epidemiology/*immunology/virology[MESH] |Disease Progression[MESH] |Epidemics[MESH] |Female[MESH] |Humans[MESH] |Immune System Diseases/diagnosis/*immunology[MESH] |Immunity, Innate/*immunology[MESH] |Lymphocyte Subsets/immunology[MESH] |Male[MESH] |Middle Aged[MESH] |SARS-CoV-2/*immunology/physiology[MESH]Profiling of immune dysfunction in COVID-19 patients allows early pred(epmc).pdf DeepDyve Pubget Overpricing