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10.1183/13993003.01881-2021 http://scihub22266oqcxt.onion/10.1183/13993003.01881-2021 34675048!8542865!34675048     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 265.2 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       Eur+Respir+J 2022 ; 59 (6): ä Nephropedia Template TP {{tp|p=34675048|t=2022. Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures |pdf=|usr=}}{{34675048}} gab.com Text Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures JO: Eur Respir J http://www.kidney.de/pget.php?&tw=1&pmid=34675048 #FOAvip BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which emerged in late 2019 has spread globally, causing a pandemic of respiratory illness designated coronavirus disease 2019 (COVID-19). A better definition of the pulmonary host response to SARS-CoV-2 infection is required to understand viral pathogenesis and to validate putative COVID-19 biomarkers that have been proposed in clinical studies. METHODS: Here, we use targeted transcriptomics of formalin-fixed paraffin-embedded tissue using the NanoString GeoMX platform to generate an in-depth picture of the pulmonary transcriptional landscape of COVID-19, pandemic H1N1 influenza and uninfected control patients. RESULTS: Host transcriptomics showed a significant upregulation of genes associated with inflammation, type I interferon production, coagulation and angiogenesis in the lungs of COVID-19 patients compared to non-infected controls. SARS-CoV-2 was non-uniformly distributed in lungs (emphasising the advantages of spatial transcriptomics) with the areas of high viral load associated with an increased type I interferon response. Once the dominant cell type present in the sample, within patient correlations and patient-patient variation, had been controlled for, only a very limited number of genes were differentially expressed between the lungs of fatal influenza and COVID-19 patients. Strikingly, the interferon-associated gene IFI27, previously identified as a useful blood biomarker to differentiate bacterial and viral lung infections, was significantly upregulated in the lungs of COVID-19 patients compared to patients with influenza. CONCLUSION: Collectively, these data demonstrate that spatial transcriptomics is a powerful tool to identify novel gene signatures within tissues, offering new insights into the pathogenesis of SARS-COV-2 to aid in patient triage and treatment. Twit Text FOAVip Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures ????Eur Respir J http://www.kidney.de/pget.php?&tw=1&pmid=34675048 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34675048 #FOAvip English Wikipedia <ref>{{Cite pmid|34675048}}</ref> Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures #MMPMID34675048 Kulasinghe A; Tan CW; Ribeiro Dos Santos Miggiolaro AF; Monkman J; SadeghiRad H; Bhuva DD; Motta Junior JDS; Busatta Vaz de Paula C; Nagashima S; Baena CP; Souza-Fonseca-Guimaraes P; de Noronha L; McCulloch T; Rossi GR; Cooper C; Tang B; Short KR; Davis MJ; Souza-Fonseca-Guimaraes F; Belz GT; O'Byrne K Eur Respir J 2022[Jun]; 59 (6): ä PMID34675048show ga BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which emerged in late 2019 has spread globally, causing a pandemic of respiratory illness designated coronavirus disease 2019 (COVID-19). A better definition of the pulmonary host response to SARS-CoV-2 infection is required to understand viral pathogenesis and to validate putative COVID-19 biomarkers that have been proposed in clinical studies. METHODS: Here, we use targeted transcriptomics of formalin-fixed paraffin-embedded tissue using the NanoString GeoMX platform to generate an in-depth picture of the pulmonary transcriptional landscape of COVID-19, pandemic H1N1 influenza and uninfected control patients. RESULTS: Host transcriptomics showed a significant upregulation of genes associated with inflammation, type I interferon production, coagulation and angiogenesis in the lungs of COVID-19 patients compared to non-infected controls. SARS-CoV-2 was non-uniformly distributed in lungs (emphasising the advantages of spatial transcriptomics) with the areas of high viral load associated with an increased type I interferon response. Once the dominant cell type present in the sample, within patient correlations and patient-patient variation, had been controlled for, only a very limited number of genes were differentially expressed between the lungs of fatal influenza and COVID-19 patients. Strikingly, the interferon-associated gene IFI27, previously identified as a useful blood biomarker to differentiate bacterial and viral lung infections, was significantly upregulated in the lungs of COVID-19 patients compared to patients with influenza. CONCLUSION: Collectively, these data demonstrate that spatial transcriptomics is a powerful tool to identify novel gene signatures within tissues, offering new insights into the pathogenesis of SARS-COV-2 to aid in patient triage and treatment. |*COVID-19/genetics[MESH] |*Influenza, Human/genetics[MESH] |*Interferon Type I/metabolism[MESH] |Humans[MESH] |Influenza A Virus, H1N1 Subtype[MESH] |Lung/pathology[MESH]Profiling of lung SARS-CoV-2 and influenza virus infection dissects v(epmc).pdf DeepDyve Pubget Overpricing