Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41598-021-85877-0 http://scihub22266oqcxt.onion/10.1038/s41598-021-85877-0 33737684!7973581!33737684     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       Sci+Rep 2021 ; 11 (1): 6357 Nephropedia Template TP {{tp|p=33737684|t=2021. Proteomic blood profiling in mild, severe and critical COVID-19 patients |pdf=|usr=}}{{33737684}} gab.com Text Proteomic blood profiling in mild, severe and critical COVID-19 patients JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33737684 #FOAvip The recent SARS-CoV-2 pandemic manifests itself as a mild respiratory tract infection in most individuals, leading to COVID-19 disease. However, in some infected individuals, this can progress to severe pneumonia and acute respiratory distress syndrome (ARDS), leading to multi-organ failure and death. This study explores the proteomic differences between mild, severe, and critical COVID-19 positive patients to further understand the disease progression, identify proteins associated with disease severity, and identify potential therapeutic targets. Blood protein profiling was performed on 59 COVID-19 mild (n = 26), severe (n = 9) or critical (n = 24) cases and 28 controls using the OLINK inflammation, autoimmune, cardiovascular and neurology panels. Differential expression analysis was performed within and between disease groups to generate nine different analyses. From the 368 proteins measured per individual, more than 75% were observed to be significantly perturbed in COVID-19 cases. Six proteins (IL6, CKAP4, Gal-9, IL-1ra, LILRB4 and PD-L1) were identified to be associated with disease severity. The results have been made readily available through an interactive web-based application for instant data exploration and visualization, and can be accessed at https://phidatalab-shiny.rosalind.kcl.ac.uk/COVID19/ . Our results demonstrate that dynamic changes in blood proteins associated with disease severity can potentially be used as early biomarkers to monitor disease severity in COVID-19 and serve as potential therapeutic targets. Twit Text FOAVip Proteomic blood profiling in mild, severe and critical COVID-19 patients ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33737684 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33737684 #FOAvip English Wikipedia <ref>{{Cite pmid|33737684}}</ref> Proteomic blood profiling in mild, severe and critical COVID-19 patients #MMPMID33737684 Patel H; Ashton NJ; Dobson RJB; Andersson LM; Yilmaz A; Blennow K; Gisslen M; Zetterberg H Sci Rep 2021[Mar]; 11 (1): 6357 PMID33737684show ga The recent SARS-CoV-2 pandemic manifests itself as a mild respiratory tract infection in most individuals, leading to COVID-19 disease. However, in some infected individuals, this can progress to severe pneumonia and acute respiratory distress syndrome (ARDS), leading to multi-organ failure and death. This study explores the proteomic differences between mild, severe, and critical COVID-19 positive patients to further understand the disease progression, identify proteins associated with disease severity, and identify potential therapeutic targets. Blood protein profiling was performed on 59 COVID-19 mild (n = 26), severe (n = 9) or critical (n = 24) cases and 28 controls using the OLINK inflammation, autoimmune, cardiovascular and neurology panels. Differential expression analysis was performed within and between disease groups to generate nine different analyses. From the 368 proteins measured per individual, more than 75% were observed to be significantly perturbed in COVID-19 cases. Six proteins (IL6, CKAP4, Gal-9, IL-1ra, LILRB4 and PD-L1) were identified to be associated with disease severity. The results have been made readily available through an interactive web-based application for instant data exploration and visualization, and can be accessed at https://phidatalab-shiny.rosalind.kcl.ac.uk/COVID19/ . Our results demonstrate that dynamic changes in blood proteins associated with disease severity can potentially be used as early biomarkers to monitor disease severity in COVID-19 and serve as potential therapeutic targets. |*Proteome[MESH] |Aged[MESH] |Biomarkers/*blood[MESH] |COVID-19/*blood/complications[MESH] |Case-Control Studies[MESH] |Central Nervous System Diseases/*virology[MESH] |Cohort Studies[MESH] |Female[MESH] |Gene Expression Profiling[MESH] |Gliosis/virology[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH]Proteomic blood profiling in mild, severe and critical COVID-19 patien(epmc).pdf DeepDyve Pubget Overpricing