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10.1016/j.jaut.2021.102596 http://scihub22266oqcxt.onion/10.1016/j.jaut.2021.102596 33540371!7837046!33540371     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 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       J+Autoimmun 2021 ; 118 (ä): 102596 Nephropedia Template TP {{tp|p=33540371|t=2021. Profiling of the immune repertoire in COVID-19 patients with mild, severe, convalescent, or retesting-positive status |pdf=|usr=}}{{33540371}} gab.com Text Profiling of the immune repertoire in COVID-19 patients with mild, severe, convalescent, or retesting-positive status JO: J Autoimmun http://www.kidney.de/pget.php?&tw=1&pmid=33540371 #FOAvip Forty-seven samples of peripheral blood mononuclear cells from four groups of coronavirus disease (COVID)-19 patients (mild, severe, convalescent, retesting-positive) and healthy controls were applied to profile the immune repertoire of COVID-19 patients in acute infection or convalescence by transcriptome sequencing and immune-receptor repertoire (IRR) sequencing. Transcriptome analyses showed that genes within principal component group 1 (PC1) were associated with infection and disease severity whereas genes within PC2 were associated with recovery from COVID-19. A "dual-injury mechanism" of COVID-19 severity was related to an increased number of proinflammatory pathways and activated hypercoagulable pathways. A machine-learning model based on the genes associated with inflammatory and hypercoagulable pathways had the potential to be employed to monitor COVID-19 severity. Signature analyses of B-cell receptors (BCRs) and T-cell receptors (TCRs) revealed the dominant selection of longer V-J pairs (e.g., IGHV3-9-IGHJ6 and IGHV3-23-IGHJ6) and continuous tyrosine motifs in BCRs and lower diversity of TCRs. These findings provide potential predictors for COVID-19 outcomes, and new potential targets for COVID-19 treatment. Twit Text FOAVip Profiling of the immune repertoire in COVID-19 patients with mild, severe, convalescent, or retesting-positive status ????J Autoimmun http://www.kidney.de/pget.php?&tw=1&pmid=33540371 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33540371 #FOAvip English Wikipedia <ref>{{Cite pmid|33540371}}</ref> Profiling of the immune repertoire in COVID-19 patients with mild, severe, convalescent, or retesting-positive status #MMPMID33540371 Zhou Y; Zhang J; Wang D; Wang D; Guan W; Qin J; Xu X; Fang J; Fu B; Zheng X; Wang D; Zhao H; Chen X; Tian Z; Xu X; Wang G; Wei H J Autoimmun 2021[Mar]; 118 (ä): 102596 PMID33540371show ga Forty-seven samples of peripheral blood mononuclear cells from four groups of coronavirus disease (COVID)-19 patients (mild, severe, convalescent, retesting-positive) and healthy controls were applied to profile the immune repertoire of COVID-19 patients in acute infection or convalescence by transcriptome sequencing and immune-receptor repertoire (IRR) sequencing. Transcriptome analyses showed that genes within principal component group 1 (PC1) were associated with infection and disease severity whereas genes within PC2 were associated with recovery from COVID-19. A "dual-injury mechanism" of COVID-19 severity was related to an increased number of proinflammatory pathways and activated hypercoagulable pathways. A machine-learning model based on the genes associated with inflammatory and hypercoagulable pathways had the potential to be employed to monitor COVID-19 severity. Signature analyses of B-cell receptors (BCRs) and T-cell receptors (TCRs) revealed the dominant selection of longer V-J pairs (e.g., IGHV3-9-IGHJ6 and IGHV3-23-IGHJ6) and continuous tyrosine motifs in BCRs and lower diversity of TCRs. These findings provide potential predictors for COVID-19 outcomes, and new potential targets for COVID-19 treatment. |Adult[MESH] |COVID-19 Drug Treatment[MESH] |COVID-19/*genetics/immunology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Receptors, Antigen, B-Cell/*genetics/immunology[MESH]Profiling of the immune repertoire in COVID-19 patients with mild, sev(epmc).pdf DeepDyve Pubget Overpricing