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10.1186/s12920-021-01079-7 http://scihub22266oqcxt.onion/10.1186/s12920-021-01079-7 34535131!8447809!34535131     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34535131.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Med+Genomics 2021 ; 14 (1): 226 Nephropedia Template TP {{tp|p=34535131|t=2021. Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing |pdf=|usr=}}{{34535131}} gab.com Text Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing JO: BMC Med Genomics http://www.kidney.de/pget.php?&tw=1&pmid=34535131 #FOAvip BACKGROUND: Higher mortality of COVID-19 patients with lung disease is a formidable challenge for the health care system. Genetic association between COVID-19 and various lung disorders must be understood to comprehend the molecular basis of comorbidity and accelerate drug development. METHODS: Lungs tissue-specific neighborhood network of human targets of SARS-CoV-2 was constructed. This network was integrated with lung diseases to build a disease-gene and disease-disease association network. Network-based toolset was used to identify the overlapping disease modules and drug targets. The functional protein modules were identified using community detection algorithms and biological processes, and pathway enrichment analysis. RESULTS: In total, 141 lung diseases were linked to a neighborhood network of SARS-CoV-2 targets, and 59 lung diseases were found to be topologically overlapped with the COVID-19 module. Topological overlap with various lung disorders allows repurposing of drugs used for these disorders to hit the closely associated COVID-19 module. Further analysis showed that functional protein-protein interaction modules in the lungs, substantially hijacked by SARS-CoV-2, are connected to several lung disorders. FDA-approved targets in the hijacked protein modules were identified and that can be hit by exiting drugs to rescue these modules from virus possession. CONCLUSION: Lung diseases are clustered with COVID-19 in the same network vicinity, indicating the potential threat for patients with respiratory diseases after SARS-CoV-2 infection. Pathobiological similarities between lung diseases and COVID-19 and clinical evidence suggest that shared molecular features are the probable reason for comorbidity. Network-based drug repurposing approaches can be applied to improve the clinical conditions of COVID-19 patients. Twit Text FOAVip Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing ????BMC Med Genomics http://www.kidney.de/pget.php?&tw=1&pmid=34535131 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34535131 #FOAvip English Wikipedia <ref>{{Cite pmid|34535131}}</ref> Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing #MMPMID34535131 Das AB BMC Med Genomics 2021[Sep]; 14 (1): 226 PMID34535131show ga BACKGROUND: Higher mortality of COVID-19 patients with lung disease is a formidable challenge for the health care system. Genetic association between COVID-19 and various lung disorders must be understood to comprehend the molecular basis of comorbidity and accelerate drug development. METHODS: Lungs tissue-specific neighborhood network of human targets of SARS-CoV-2 was constructed. This network was integrated with lung diseases to build a disease-gene and disease-disease association network. Network-based toolset was used to identify the overlapping disease modules and drug targets. The functional protein modules were identified using community detection algorithms and biological processes, and pathway enrichment analysis. RESULTS: In total, 141 lung diseases were linked to a neighborhood network of SARS-CoV-2 targets, and 59 lung diseases were found to be topologically overlapped with the COVID-19 module. Topological overlap with various lung disorders allows repurposing of drugs used for these disorders to hit the closely associated COVID-19 module. Further analysis showed that functional protein-protein interaction modules in the lungs, substantially hijacked by SARS-CoV-2, are connected to several lung disorders. FDA-approved targets in the hijacked protein modules were identified and that can be hit by exiting drugs to rescue these modules from virus possession. CONCLUSION: Lung diseases are clustered with COVID-19 in the same network vicinity, indicating the potential threat for patients with respiratory diseases after SARS-CoV-2 infection. Pathobiological similarities between lung diseases and COVID-19 and clinical evidence suggest that shared molecular features are the probable reason for comorbidity. Network-based drug repurposing approaches can be applied to improve the clinical conditions of COVID-19 patients. |*COVID-19 Drug Treatment[MESH] |*Drug Repositioning/methods[MESH] |*Pandemics[MESH] |*SARS-CoV-2[MESH] |Algorithms[MESH] |Antiviral Agents/therapeutic use[MESH] |COVID-19/*epidemiology/genetics[MESH] |Comorbidity[MESH] |Drug Discovery[MESH] |Gene Regulatory Networks/drug effects[MESH] |Host Microbial Interactions/drug effects/genetics[MESH] |Humans[MESH] |Lung Diseases/drug therapy/*epidemiology/genetics[MESH] |Protein Interaction Maps/drug effects/genetics[MESH]Lung disease network reveals impact of comorbidity on SARS-CoV-2 infec(epmc).pdf DeepDyve Pubget Overpricing