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http://scihub22266oqcxt.onion/ 33244380!7682979!33244380     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33244380&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Gastroenterol+Hepatol+Bed+Bench 2020 ; 13 (4): 367-373 Nephropedia Template TP {{tp|p=33244380|t=2020. Introducing APOA1 as a key protein in COVID-19 infection: a bioinformatics approach |pdf=|usr=}}{{33244380}} gab.com Text Introducing APOA1 as a key protein in COVID-19 infection: a bioinformatics approach JO: Gastroenterol Hepatol Bed Bench http://www.kidney.de/pget.php?&tw=1&pmid=33244380 #FOAvip AIM: Introducing possible diagnostic and therapeutic biomarker candidates via the identification of chief dysregulated proteins in COVID-19 patients is the aim of this study. BACKGROUND: Molecular studies, especially proteomics, can be considered as suitable approaches for discovering the hidden aspect of the disease. METHODS: Differentially expressed proteins (DEPs) of three patients with demonstrated severe condition (S-COVID-19) were compared to healthy cases by a proteomics study. Cytoscape software and STRING database were used to construct the protein-protein interaction (PPI) network. The central DEPs were identified through topological analysis of the network. ClueGO+CluePedia were applied to find the biological processes related to the central nodes. MCODE molecular complex detection (MCODE) was used to discover protein complexes. RESULTS: A total of 242 DEPs from among 256 query ones were included in the network. Centrality analysis of the network assigned 16 hub-bottlenecks, nine of which were presented in the highest-scored protein complex. Ten protein complexes were determined. APOA1 was identified as the protein complex seed, and APP, EGF, and C3 were the top hub-bottlenecks of the network. The results specify that up-regulation of C3 and down-regulation of APOA1 in urine play a role in the stiffness in respiration and, accordingly, the severity of COVID-19. Moreover, dysregulation of APP and APOA1 could both contribute to the possible adverse effects of COVID-19 on the nervous system. CONCLUSION: The introduced central proteins of the S-COVID-19 interaction network, particularly APOA1, can be considered as diagnostic and therapeutic targets related to the coronavirus disease after being approved with complementary studies. Twit Text FOAVip Introducing APOA1 as a key protein in COVID-19 infection: a bioinformatics approach ????Gastroenterol Hepatol Bed Bench http://www.kidney.de/pget.php?&tw=1&pmid=33244380 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33244380 #FOAvip English Wikipedia <ref>{{Cite pmid|33244380}}</ref> Introducing APOA1 as a key protein in COVID-19 infection: a bioinformatics approach #MMPMID33244380 Zamanian Azodi M; Arjmand B; Zali A; Razzaghi M Gastroenterol Hepatol Bed Bench 2020[Fal]; 13 (4): 367-373 PMID33244380show ga AIM: Introducing possible diagnostic and therapeutic biomarker candidates via the identification of chief dysregulated proteins in COVID-19 patients is the aim of this study. BACKGROUND: Molecular studies, especially proteomics, can be considered as suitable approaches for discovering the hidden aspect of the disease. METHODS: Differentially expressed proteins (DEPs) of three patients with demonstrated severe condition (S-COVID-19) were compared to healthy cases by a proteomics study. Cytoscape software and STRING database were used to construct the protein-protein interaction (PPI) network. The central DEPs were identified through topological analysis of the network. ClueGO+CluePedia were applied to find the biological processes related to the central nodes. MCODE molecular complex detection (MCODE) was used to discover protein complexes. RESULTS: A total of 242 DEPs from among 256 query ones were included in the network. Centrality analysis of the network assigned 16 hub-bottlenecks, nine of which were presented in the highest-scored protein complex. Ten protein complexes were determined. APOA1 was identified as the protein complex seed, and APP, EGF, and C3 were the top hub-bottlenecks of the network. The results specify that up-regulation of C3 and down-regulation of APOA1 in urine play a role in the stiffness in respiration and, accordingly, the severity of COVID-19. Moreover, dysregulation of APP and APOA1 could both contribute to the possible adverse effects of COVID-19 on the nervous system. CONCLUSION: The introduced central proteins of the S-COVID-19 interaction network, particularly APOA1, can be considered as diagnostic and therapeutic targets related to the coronavirus disease after being approved with complementary studies. äIntroducing APOA1 as a key protein in COVID-19 infection: a bioinforma(epmc).pdf DeepDyve Pubget Overpricing