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10.1126/sciadv.abm2510 http://scihub22266oqcxt.onion/10.1126/sciadv.abm2510 35648852!9159580!35648852     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\35648852.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Adv 2022 ; 8 (22): eabm2510 Nephropedia Template TP {{tp|p=35648852|t=2022. A systems biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19 |pdf=|usr=}}{{35648852}} gab.com Text A systems biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19 JO: Sci Adv http://www.kidney.de/pget.php?&tw=1&pmid=35648852 #FOAvip Despite the availability of highly efficacious vaccines, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lacks effective drug treatment, which results in a high rate of mortality. To address this therapeutic shortcoming, we applied a systems biology approach to the study of patients hospitalized with severe COVID. We show that, at the time of hospital admission, patients who were equivalent on the clinical ordinal scale displayed significant differential monocyte epigenetic and transcriptomic attributes between those who would survive and those who would succumb to COVID-19. We identified messenger RNA metabolism, RNA splicing, and interferon signaling pathways as key host responses overactivated by patients who would not survive. Those pathways are prime drug targets to reduce mortality of critically ill patients with COVID-19, leading us to identify tacrolimus, zotatifin, and nintedanib as three strong candidates for treatment of severely ill patients at the time of hospital admission. Twit Text FOAVip A systems biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19 ????Sci Adv http://www.kidney.de/pget.php?&tw=1&pmid=35648852 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35648852 #FOAvip English Wikipedia <ref>{{Cite pmid|35648852}}</ref> A systems biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19 #MMPMID35648852 Fava VM; Bourgey M; Nawarathna PM; Orlova M; Cassart P; Vinh DC; Cheng MP; Bourque G; Schurr E; Langlais D Sci Adv 2022[Jun]; 8 (22): eabm2510 PMID35648852show ga Despite the availability of highly efficacious vaccines, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lacks effective drug treatment, which results in a high rate of mortality. To address this therapeutic shortcoming, we applied a systems biology approach to the study of patients hospitalized with severe COVID. We show that, at the time of hospital admission, patients who were equivalent on the clinical ordinal scale displayed significant differential monocyte epigenetic and transcriptomic attributes between those who would survive and those who would succumb to COVID-19. We identified messenger RNA metabolism, RNA splicing, and interferon signaling pathways as key host responses overactivated by patients who would not survive. Those pathways are prime drug targets to reduce mortality of critically ill patients with COVID-19, leading us to identify tacrolimus, zotatifin, and nintedanib as three strong candidates for treatment of severely ill patients at the time of hospital admission. |*COVID-19 Drug Treatment[MESH] |Antiviral Agents/pharmacology/therapeutic use[MESH] |Humans[MESH] |SARS-CoV-2[MESH]A systems biology approach identifies candidate drugs to reduce mortal(epmc).pdf DeepDyve Pubget Overpricing