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10.1371/journal.ppat.1009759 http://scihub22266oqcxt.onion/10.1371/journal.ppat.1009759 34320031!8318295!34320031     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Pathog 2021 ; 17 (7): e1009759 Nephropedia Template TP {{tp|p=34320031|t=2021. Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |pdf=|usr=}}{{34320031}} gab.com Text Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection JO: PLoS Pathog http://www.kidney.de/pget.php?&tw=1&pmid=34320031 #FOAvip The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally and ten age and gender matched healthy donors. We observed 55 miRNAs that were altered in COVID-19 patients during early-stage disease, with the inflammatory miR-31-5p the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-423-5p, miR-23a-3p and miR-195-5p) independently classified COVID-19 cases with an accuracy of 99.9%. In a ferret COVID-19 model, the three-miRNA signature again detected SARS-CoV-2 infection with 99.7% accuracy, and distinguished SARS-CoV-2 infection from influenza A (H1N1) infection and healthy controls with 95% accuracy. Distinct miRNA profiles were also observed in COVID-19 patients requiring oxygenation. This study demonstrates that SARS-CoV-2 infection induces a robust host miRNA response that could improve COVID-19 detection and patient management. Twit Text FOAVip Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection ????PLoS Pathog http://www.kidney.de/pget.php?&tw=1&pmid=34320031 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34320031 #FOAvip English Wikipedia <ref>{{Cite pmid|34320031}}</ref> Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection #MMPMID34320031 Farr RJ; Rootes CL; Rowntree LC; Nguyen THO; Hensen L; Kedzierski L; Cheng AC; Kedzierska K; Au GG; Marsh GA; Vasan SS; Foo CH; Cowled C; Stewart CR PLoS Pathog 2021[Jul]; 17 (7): e1009759 PMID34320031show ga The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally and ten age and gender matched healthy donors. We observed 55 miRNAs that were altered in COVID-19 patients during early-stage disease, with the inflammatory miR-31-5p the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-423-5p, miR-23a-3p and miR-195-5p) independently classified COVID-19 cases with an accuracy of 99.9%. In a ferret COVID-19 model, the three-miRNA signature again detected SARS-CoV-2 infection with 99.7% accuracy, and distinguished SARS-CoV-2 infection from influenza A (H1N1) infection and healthy controls with 95% accuracy. Distinct miRNA profiles were also observed in COVID-19 patients requiring oxygenation. This study demonstrates that SARS-CoV-2 infection induces a robust host miRNA response that could improve COVID-19 detection and patient management. |*SARS-CoV-2[MESH] |Adult[MESH] |Aged[MESH] |Animals[MESH] |COVID-19 Testing/*methods[MESH] |COVID-19/blood/*diagnosis/*genetics[MESH] |Case-Control Studies[MESH] |Diagnosis, Differential[MESH] |Disease Models, Animal[MESH] |Female[MESH] |Ferrets[MESH] |Gene Expression[MESH] |Host Microbial Interactions/genetics[MESH] |Humans[MESH] |Influenza A Virus, H1N1 Subtype[MESH] |Longitudinal Studies[MESH] |Male[MESH] |MicroRNAs/blood/*genetics[MESH] |Middle Aged[MESH] |Orthomyxoviridae Infections/diagnosis/genetics[MESH] |Pandemics[MESH]Altered microRNA expression in COVID-19 patients enables identificatio(epmc).pdf DeepDyve Pubget Overpricing