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10.1021/acs.jproteome.0c00771 http://scihub22266oqcxt.onion/10.1021/acs.jproteome.0c00771 33426872!ä!33426872 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Proteome+Res 2021 ; 20 (2): 1107-1132 Nephropedia Template TP {{tp|p=33426872|t=2021. Role of Multiomics Data to Understand Host-Pathogen Interactions in COVID-19 Pathogenesis |pdf=|usr=}}{{33426872}} gab.com Text Role of Multiomics Data to Understand Host-Pathogen Interactions in COVID-19 Pathogenesis JO: J Proteome Res http://www.kidney.de/pget.php?&tw=1&pmid=33426872 #FOAvip Human infectious diseases are contributed equally by the host immune system's efficiency and any pathogens' infectivity. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the coronavirus strain causing the respiratory pandemic coronavirus disease 2019 (COVID-19). To understand the pathobiology of SARS-CoV-2, one needs to unravel the intricacies of host immune response to the virus, the viral pathogen's mode of transmission, and alterations in specific biological pathways in the host allowing viral survival. This review critically analyzes recent research using high-throughput "omics" technologies (including proteomics and metabolomics) on various biospecimens that allow an increased understanding of the pathobiology of SARS-CoV-2 in humans. The altered biomolecule profile facilitates an understanding of altered biological pathways. Further, we have performed a meta-analysis of significantly altered biomolecular profiles in COVID-19 patients using bioinformatics tools. Our analysis deciphered alterations in the immune response, fatty acid, and amino acid metabolism and other pathways that cumulatively result in COVID-19 disease, including symptoms such as hyperglycemic and hypoxic sequelae. Twit Text FOAVip Role of Multiomics Data to Understand Host-Pathogen Interactions in COVID-19 Pathogenesis ????J Proteome Res http://www.kidney.de/pget.php?&tw=1&pmid=33426872 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33426872 #FOAvip English Wikipedia <ref>{{Cite pmid|33426872}}</ref> Role of Multiomics Data to Understand Host-Pathogen Interactions in COVID-19 Pathogenesis #MMPMID33426872 Aggarwal S; Acharjee A; Mukherjee A; Baker MS; Srivastava S J Proteome Res 2021[Feb]; 20 (2): 1107-1132 PMID33426872show ga Human infectious diseases are contributed equally by the host immune system's efficiency and any pathogens' infectivity. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the coronavirus strain causing the respiratory pandemic coronavirus disease 2019 (COVID-19). To understand the pathobiology of SARS-CoV-2, one needs to unravel the intricacies of host immune response to the virus, the viral pathogen's mode of transmission, and alterations in specific biological pathways in the host allowing viral survival. This review critically analyzes recent research using high-throughput "omics" technologies (including proteomics and metabolomics) on various biospecimens that allow an increased understanding of the pathobiology of SARS-CoV-2 in humans. The altered biomolecule profile facilitates an understanding of altered biological pathways. Further, we have performed a meta-analysis of significantly altered biomolecular profiles in COVID-19 patients using bioinformatics tools. Our analysis deciphered alterations in the immune response, fatty acid, and amino acid metabolism and other pathways that cumulatively result in COVID-19 disease, including symptoms such as hyperglycemic and hypoxic sequelae. |COVID-19/epidemiology/*prevention & control/virology[MESH] |Host-Pathogen Interactions[MESH] |Humans[MESH] |Metabolomics/*methods[MESH] |Pandemics[MESH] |Proteomics/*methods[MESH]Role of Multiomics Data to Understand Host-Pathogen Interactions in CO(epmc).pdf DeepDyve Pubget Overpricing