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.

10.1002/pmic.202000278 http://scihub22266oqcxt.onion/10.1002/pmic.202000278 33945677!8206655!33945677     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 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       Proteomics 2021 ; 21 (11-12): e2000278 Nephropedia Template TP {{tp|p=33945677|t=2021. Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression |pdf=|usr=}}{{33945677}} gab.com Text Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression JO: Proteomics http://www.kidney.de/pget.php?&tw=1&pmid=33945677 #FOAvip In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify potential early prognostic protein markers and to expand understanding of proteome dynamics during clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients who progressed to severe COVID-19, n = 12). We identified 11 potential biomarkers, including the novel markers IGLV3-19 and BNC2, as early potential prognostic indicators of severe COVID-19. These potential biomarkers are mainly involved in biological processes associated with humoral immune response, interferon signalling, acute phase response, lipid metabolism, and platelet degranulation. We further revealed that the longitudinal changes of 40 proteins persistently increased or decreased as the disease progressed to severe COVID-19. These 40 potential biomarkers could effectively reflect the clinical progression of the disease. Our findings provide some new insights into host response to SARS-CoV-2 infection, which are valuable for understanding of COVID-19 disease progression. This study also identified potential biomarkers that could be further validated, which may support better predicting and monitoring progression to severe COVID-19. Twit Text FOAVip Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression ????Proteomics http://www.kidney.de/pget.php?&tw=1&pmid=33945677 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33945677 #FOAvip English Wikipedia <ref>{{Cite pmid|33945677}}</ref> Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression #MMPMID33945677 Lee JS; Han D; Kim SY; Hong KH; Jang MJ; Kim MJ; Kim YG; Park JH; Cho SI; Park WB; Lee KB; Shin HS; Oh HS; Kim TS; Park SS; Seong MW Proteomics 2021[Jun]; 21 (11-12): e2000278 PMID33945677show ga In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify potential early prognostic protein markers and to expand understanding of proteome dynamics during clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients who progressed to severe COVID-19, n = 12). We identified 11 potential biomarkers, including the novel markers IGLV3-19 and BNC2, as early potential prognostic indicators of severe COVID-19. These potential biomarkers are mainly involved in biological processes associated with humoral immune response, interferon signalling, acute phase response, lipid metabolism, and platelet degranulation. We further revealed that the longitudinal changes of 40 proteins persistently increased or decreased as the disease progressed to severe COVID-19. These 40 potential biomarkers could effectively reflect the clinical progression of the disease. Our findings provide some new insights into host response to SARS-CoV-2 infection, which are valuable for understanding of COVID-19 disease progression. This study also identified potential biomarkers that could be further validated, which may support better predicting and monitoring progression to severe COVID-19. |*COVID-19/diagnosis/genetics/metabolism[MESH] |*Proteome/analysis/genetics/metabolism[MESH] |Aged[MESH] |Biomarkers/blood[MESH] |Disease Progression[MESH] |Female[MESH] |Gene Expression Profiling[MESH] |Host-Pathogen Interactions/*genetics[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |Male[MESH] |Middle Aged[MESH] |Prognosis[MESH] |Proteomics[MESH]Longitudinal proteomic profiling provides insights into host response (epmc).pdf DeepDyve Pubget Overpricing