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10.1038/s41467-020-19587-y http://scihub22266oqcxt.onion/10.1038/s41467-020-19587-y 33203890!7673985!33203890     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33203890&cmd=llinks): Failed to open stream: HTTP request failed! 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Upper airway gene expression reveals suppressed immune responses to SARS-CoV-2 compared with other respiratory viruses |pdf=|usr=}}{{33203890}} gab.com Text Upper airway gene expression reveals suppressed immune responses to SARS-CoV-2 compared with other respiratory viruses JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33203890 #FOAvip SARS-CoV-2 infection is characterized by peak viral load in the upper airway prior to or at the time of symptom onset, an unusual feature that has enabled widespread transmission of the virus and precipitated a global pandemic. How SARS-CoV-2 is able to achieve high titer in the absence of symptoms remains unclear. Here, we examine the upper airway host transcriptional response in patients with COVID-19 (n = 93), other viral (n = 41) or non-viral (n = 100) acute respiratory illnesses (ARIs). Compared with other viral ARIs, COVID-19 is characterized by a pronounced interferon response but attenuated activation of other innate immune pathways, including toll-like receptor, interleukin and chemokine signaling. The IL-1 and NLRP3 inflammasome pathways are markedly less responsive to SARS-CoV-2, commensurate with a signature of diminished neutrophil and macrophage recruitment. This pattern resembles previously described distinctions between symptomatic and asymptomatic viral infections and may partly explain the propensity for pre-symptomatic transmission in COVID-19. We further use machine learning to build 27-, 10- and 3-gene classifiers that differentiate COVID-19 from other ARIs with AUROCs of 0.981, 0.954 and 0.885, respectively. Classifier performance is stable across a wide range of viral load, suggesting utility in mitigating false positive or false negative results of direct SARS-CoV-2 tests. Twit Text FOAVip Upper airway gene expression reveals suppressed immune responses to SARS-CoV-2 compared with other respiratory viruses ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33203890 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33203890 #FOAvip English Wikipedia <ref>{{Cite pmid|33203890}}</ref> Upper airway gene expression reveals suppressed immune responses to SARS-CoV-2 compared with other respiratory viruses #MMPMID33203890 Mick E; Kamm J; Pisco AO; Ratnasiri K; Babik JM; Castaneda G; DeRisi JL; Detweiler AM; Hao SL; Kangelaris KN; Kumar GR; Li LM; Mann SA; Neff N; Prasad PA; Serpa PH; Shah SJ; Spottiswoode N; Tan M; Calfee CS; Christenson SA; Kistler A; Langelier C Nat Commun 2020[Nov]; 11 (1): 5854 PMID33203890show ga SARS-CoV-2 infection is characterized by peak viral load in the upper airway prior to or at the time of symptom onset, an unusual feature that has enabled widespread transmission of the virus and precipitated a global pandemic. How SARS-CoV-2 is able to achieve high titer in the absence of symptoms remains unclear. Here, we examine the upper airway host transcriptional response in patients with COVID-19 (n = 93), other viral (n = 41) or non-viral (n = 100) acute respiratory illnesses (ARIs). Compared with other viral ARIs, COVID-19 is characterized by a pronounced interferon response but attenuated activation of other innate immune pathways, including toll-like receptor, interleukin and chemokine signaling. The IL-1 and NLRP3 inflammasome pathways are markedly less responsive to SARS-CoV-2, commensurate with a signature of diminished neutrophil and macrophage recruitment. This pattern resembles previously described distinctions between symptomatic and asymptomatic viral infections and may partly explain the propensity for pre-symptomatic transmission in COVID-19. We further use machine learning to build 27-, 10- and 3-gene classifiers that differentiate COVID-19 from other ARIs with AUROCs of 0.981, 0.954 and 0.885, respectively. Classifier performance is stable across a wide range of viral load, suggesting utility in mitigating false positive or false negative results of direct SARS-CoV-2 tests. |Betacoronavirus/*physiology[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques[MESH] |Coronavirus Infections/diagnosis/*immunology/*virology[MESH] |Diagnosis, Differential[MESH] |Gene Expression[MESH] |Host-Pathogen Interactions/immunology[MESH] |Humans[MESH] |Immunity, Innate/*genetics/immunology[MESH] |Nasopharynx/immunology/virology[MESH] |Pandemics[MESH] |Pneumonia, Viral/diagnosis/*immunology/*virology[MESH] |Respiratory Tract Infections/diagnosis/immunology/virology[MESH] |SARS-CoV-2[MESH] |Sensitivity and Specificity[MESH]Upper airway gene expression reveals suppressed immune responses to SA(epmc).pdf DeepDyve Pubget Overpricing