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10.1038/s41419-021-03881-8 http://scihub22266oqcxt.onion/10.1038/s41419-021-03881-8 34385425!8357963!34385425     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34385425&cmd=llinks): Failed to open stream: HTTP request failed! 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Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2-host interactome |pdf=|usr=}}{{34385425}} gab.com Text Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2-host interactome JO: Cell Death Dis http://www.kidney.de/pget.php?&tw=1&pmid=34385425 #FOAvip In the last months, many studies have clearly described several mechanisms of SARS-CoV-2 infection at cell and tissue level, but the mechanisms of interaction between host and SARS-CoV-2, determining the grade of COVID-19 severity, are still unknown. We provide a network analysis on protein-protein interactions (PPI) between viral and host proteins to better identify host biological responses, induced by both whole proteome of SARS-CoV-2 and specific viral proteins. A host-virus interactome was inferred, applying an explorative algorithm (Random Walk with Restart, RWR) triggered by 28 proteins of SARS-CoV-2. The analysis of PPI allowed to estimate the distribution of SARS-CoV-2 proteins in the host cell. Interactome built around one single viral protein allowed to define a different response, underlining as ORF8 and ORF3a modulated cardiovascular diseases and pro-inflammatory pathways, respectively. Finally, the network-based approach highlighted a possible direct action of ORF3a and NS7b to enhancing Bradykinin Storm. This network-based representation of SARS-CoV-2 infection could be a framework for pathogenic evaluation of specific clinical outcomes. We identified possible host responses induced by specific proteins of SARS-CoV-2, underlining the important role of specific viral accessory proteins in pathogenic phenotypes of severe COVID-19 patients. Twit Text FOAVip Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2-host interactome ????Cell Death Dis http://www.kidney.de/pget.php?&tw=1&pmid=34385425 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34385425 #FOAvip English Wikipedia <ref>{{Cite pmid|34385425}}</ref> Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2-host interactome #MMPMID34385425 Messina F; Giombini E; Montaldo C; Sharma AA; Zoccoli A; Sekaly RP; Locatelli F; Zumla A; Maeurer M; Capobianchi MR; Lauria FN; Ippolito G Cell Death Dis 2021[Aug]; 12 (8): 788 PMID34385425show ga In the last months, many studies have clearly described several mechanisms of SARS-CoV-2 infection at cell and tissue level, but the mechanisms of interaction between host and SARS-CoV-2, determining the grade of COVID-19 severity, are still unknown. We provide a network analysis on protein-protein interactions (PPI) between viral and host proteins to better identify host biological responses, induced by both whole proteome of SARS-CoV-2 and specific viral proteins. A host-virus interactome was inferred, applying an explorative algorithm (Random Walk with Restart, RWR) triggered by 28 proteins of SARS-CoV-2. The analysis of PPI allowed to estimate the distribution of SARS-CoV-2 proteins in the host cell. Interactome built around one single viral protein allowed to define a different response, underlining as ORF8 and ORF3a modulated cardiovascular diseases and pro-inflammatory pathways, respectively. Finally, the network-based approach highlighted a possible direct action of ORF3a and NS7b to enhancing Bradykinin Storm. This network-based representation of SARS-CoV-2 infection could be a framework for pathogenic evaluation of specific clinical outcomes. We identified possible host responses induced by specific proteins of SARS-CoV-2, underlining the important role of specific viral accessory proteins in pathogenic phenotypes of severe COVID-19 patients. |COVID-19/*metabolism/*virology[MESH] |Host Microbial Interactions[MESH] |Immunity/immunology[MESH] |Protein Interaction Maps/physiology[MESH] |Proteome[MESH] |Proteomics/methods[MESH] |SARS-CoV-2/*metabolism/pathogenicity[MESH] |Severity of Illness Index[MESH] |Viral Proteins/metabolism[MESH]Looking for pathways related to COVID-19: confirmation of pathogenic m(epmc).pdf DeepDyve Pubget Overpricing