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.

10.1371/journal.ppat.1009416 http://scihub22266oqcxt.onion/10.1371/journal.ppat.1009416 33780519!8032121!33780519     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 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 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Pathog 2021 ; 17 (3): e1009416 Nephropedia Template TP {{tp|p=33780519|t=2021. Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |pdf=|usr=}}{{33780519}} gab.com Text Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 JO: PLoS Pathog http://www.kidney.de/pget.php?&tw=1&pmid=33780519 #FOAvip COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenomics from nasopharyngeal swabs were used to characterize the genomic, metagenomic and transcriptomic features of patients from the first pandemic wave with various forms of COVID-19, including outpatients, patients hospitalized not requiring intensive care, and patients in the intensive care unit, to identify viral and/or host factors associated with the most severe forms of the disease. Neither the genetic characteristics of SARS-CoV-2, nor the detection of bacteria, viruses, fungi or parasites were associated with the severity of pulmonary disease. Severe pneumonia was associated with overexpression of cytokine transcripts activating the CXCR2 pathway, whereas patients with benign disease presented with a T helper "Th1-Th17" profile. The latter profile was associated with female gender and a lower mortality rate. Our findings indicate that the most severe cases of COVID-19 are characterized by the presence of overactive immune cells resulting in neutrophil pulmonary infiltration which, in turn, could enhance the inflammatory response and prolong tissue damage. These findings make CXCR2 antagonists, in particular IL-8 antagonists, promising candidates for the treatment of patients with severe COVID-19. Twit Text FOAVip Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 ????PLoS Pathog http://www.kidney.de/pget.php?&tw=1&pmid=33780519 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33780519 #FOAvip English Wikipedia <ref>{{Cite pmid|33780519}}</ref> Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 #MMPMID33780519 Rodriguez C; de Prost N; Fourati S; Lamoureux C; Gricourt G; N'debi M; Canoui-Poitrine F; Desveaux I; Picard O; Demontant V; Trawinski E; Lepeule R; Surgers L; Vindrios W; Lelievre JD; Mongardon N; Langeron O; Cohen JL; Mekontso-Dessap A; Woerther PL; Pawlotsky JM PLoS Pathog 2021[Mar]; 17 (3): e1009416 PMID33780519show ga COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenomics from nasopharyngeal swabs were used to characterize the genomic, metagenomic and transcriptomic features of patients from the first pandemic wave with various forms of COVID-19, including outpatients, patients hospitalized not requiring intensive care, and patients in the intensive care unit, to identify viral and/or host factors associated with the most severe forms of the disease. Neither the genetic characteristics of SARS-CoV-2, nor the detection of bacteria, viruses, fungi or parasites were associated with the severity of pulmonary disease. Severe pneumonia was associated with overexpression of cytokine transcripts activating the CXCR2 pathway, whereas patients with benign disease presented with a T helper "Th1-Th17" profile. The latter profile was associated with female gender and a lower mortality rate. Our findings indicate that the most severe cases of COVID-19 are characterized by the presence of overactive immune cells resulting in neutrophil pulmonary infiltration which, in turn, could enhance the inflammatory response and prolong tissue damage. These findings make CXCR2 antagonists, in particular IL-8 antagonists, promising candidates for the treatment of patients with severe COVID-19. |*COVID-19/genetics/immunology[MESH] |*Genome, Viral[MESH] |*Metagenomics[MESH] |*SARS-CoV-2/genetics/immunology[MESH] |*Transcriptome[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Receptors, Interleukin-8B/genetics/immunology[MESH] |Th1 Cells/*immunology[MESH]Viral genomic, metagenomic and human transcriptomic characterization a(epmc).pdf DeepDyve Pubget Overpricing