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10.1016/j.xcrm.2022.100680 http://scihub22266oqcxt.onion/10.1016/j.xcrm.2022.100680 35839768!9238057!35839768     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Rep+Med 2022 ; 3 (7): 100680 Nephropedia Template TP {{tp|p=35839768|t=2022. Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 |pdf=|usr=}}{{35839768}} gab.com Text Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 JO: Cell Rep Med http://www.kidney.de/pget.php?&tw=1&pmid=35839768 #FOAvip The biological determinants underlying the range of coronavirus 2019 (COVID-19) clinical manifestations are not fully understood. Here, over 1,400 plasma proteins and 2,600 single-cell immune features comprising cell phenotype, endogenous signaling activity, and signaling responses to inflammatory ligands are cross-sectionally assessed in peripheral blood from 97 patients with mild, moderate, and severe COVID-19 and 40 uninfected patients. Using an integrated computational approach to analyze the combined plasma and single-cell proteomic data, we identify and independently validate a multi-variate model classifying COVID-19 severity (multi-class area under the curve [AUC](training) = 0.799, p = 4.2e-6; multi-class AUC(validation) = 0.773, p = 7.7e-6). Examination of informative model features reveals biological signatures of COVID-19 severity, including the dysregulation of JAK/STAT, MAPK/mTOR, and nuclear factor kappaB (NF-kappaB) immune signaling networks in addition to recapitulating known hallmarks of COVID-19. These results provide a set of early determinants of COVID-19 severity that may point to therapeutic targets for prevention and/or treatment of COVID-19 progression. Twit Text FOAVip Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 ????Cell Rep Med http://www.kidney.de/pget.php?&tw=1&pmid=35839768 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35839768 #FOAvip English Wikipedia <ref>{{Cite pmid|35839768}}</ref> Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 #MMPMID35839768 Feyaerts D; Hedou J; Gillard J; Chen H; Tsai ES; Peterson LS; Ando K; Manohar M; Do E; Dhondalay GKR; Fitzpatrick J; Artandi M; Chang I; Snow TT; Chinthrajah RS; Warren CM; Wittman R; Meyerowitz JG; Ganio EA; Stelzer IA; Han X; Verdonk F; Gaudilliere DK; Mukherjee N; Tsai AS; Rumer KK; Jacobsen DR; Bjornson-Hooper ZB; Jiang S; Saavedra SF; Valdes Ferrer SI; Kelly JD; Furman D; Aghaeepour N; Angst MS; Boyd SD; Pinsky BA; Nolan GP; Nadeau KC; Gaudilliere B; McIlwain DR Cell Rep Med 2022[Jul]; 3 (7): 100680 PMID35839768show ga The biological determinants underlying the range of coronavirus 2019 (COVID-19) clinical manifestations are not fully understood. Here, over 1,400 plasma proteins and 2,600 single-cell immune features comprising cell phenotype, endogenous signaling activity, and signaling responses to inflammatory ligands are cross-sectionally assessed in peripheral blood from 97 patients with mild, moderate, and severe COVID-19 and 40 uninfected patients. Using an integrated computational approach to analyze the combined plasma and single-cell proteomic data, we identify and independently validate a multi-variate model classifying COVID-19 severity (multi-class area under the curve [AUC](training) = 0.799, p = 4.2e-6; multi-class AUC(validation) = 0.773, p = 7.7e-6). Examination of informative model features reveals biological signatures of COVID-19 severity, including the dysregulation of JAK/STAT, MAPK/mTOR, and nuclear factor kappaB (NF-kappaB) immune signaling networks in addition to recapitulating known hallmarks of COVID-19. These results provide a set of early determinants of COVID-19 severity that may point to therapeutic targets for prevention and/or treatment of COVID-19 progression. |*COVID-19[MESH] |Humans[MESH] |NF-kappa B/metabolism[MESH] |Proteomics[MESH] |SARS-CoV-2[MESH]Integrated plasma proteomic and single-cell immune signaling network s(epmc).pdf DeepDyve Pubget Overpricing