Comparative Host–Pathogen Interaction Analyses of SARS-CoV2 and Aspergillus fumigatus, and Pathogenesis of COVID-19-Associated Aspergillosis
COVID-19 caused a global catastrophe with a large number of cases making it one of the major pandemics of the human history. The clinical presentations of the disease are continuously challenging healthcare workers with the variation of pandemic waves and viral variants. Recently, SARS-CoV2 patients...
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description | COVID-19 caused a global catastrophe with a large number of cases making it one of the major pandemics of the human history. The clinical presentations of the disease are continuously challenging healthcare workers with the variation of pandemic waves and viral variants. Recently, SARS-CoV2 patients have shown increased occurrence of invasive pulmonary aspergillosis infection even in the absence of traditional risk factors. The mechanism of COVID-19-associated aspergillosis is not completely understood and therefore, we performed this system biological study in order to identify mechanistic implications of aspergillosis susceptibility in COVID-19 patients and the important targets associated with this disease. We performed host–pathogen interaction (HPI) analysis of SARS-CoV2, and most common COVID-19-associated aspergillosis pathogen,
Aspergillus fumigatus,
using in silico approaches. The known host–pathogen interactions data of SARS-CoV2 was obtained from BIOGRID database. In addition,
A. fumigatus
host–pathogen interactions were predicted through homology modeling. The human targets interacting with both pathogens were separately analyzed for their involvement in aspergillosis. The aspergillosis human targets were screened from DisGeNet and GeneCards. The aspergillosis targets involved in both HPI were further analyzed for functional overrepresentation analysis using PANTHER. The results indicate that both pathogens interact with a number of aspergillosis targets and altogether they recruit more aspergillosis targets in host–pathogen interaction than alone. Common aspergillosis targets involved in HPI with both SARS-CoV2 and
A. fumigatus
can indicate strategies for the management of both conditions by modulating these common disease targets. |
doi_str_mv | 10.1007/s00248-021-01913-6 |
format | Article |
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Aspergillus fumigatus,
using in silico approaches. The known host–pathogen interactions data of SARS-CoV2 was obtained from BIOGRID database. In addition,
A. fumigatus
host–pathogen interactions were predicted through homology modeling. The human targets interacting with both pathogens were separately analyzed for their involvement in aspergillosis. The aspergillosis human targets were screened from DisGeNet and GeneCards. The aspergillosis targets involved in both HPI were further analyzed for functional overrepresentation analysis using PANTHER. The results indicate that both pathogens interact with a number of aspergillosis targets and altogether they recruit more aspergillosis targets in host–pathogen interaction than alone. Common aspergillosis targets involved in HPI with both SARS-CoV2 and
A. fumigatus
can indicate strategies for the management of both conditions by modulating these common disease targets.</description><identifier>ISSN: 0095-3628</identifier><identifier>EISSN: 1432-184X</identifier><identifier>DOI: 10.1007/s00248-021-01913-6</identifier><identifier>PMID: 34738157</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aspergillosis ; Aspergillus fumigatus ; Biomedical and Life Sciences ; Coronaviruses ; COVID-19 ; Diseases ; Ecology ; Fungal infections ; Geoecology/Natural Processes ; Homology ; Host Microbe Interactions ; Host-pathogen interactions ; Life Sciences ; Medical personnel ; Microbial Ecology ; Microbiology ; Nature Conservation ; Pandemics ; Pathogenesis ; Pathogens ; Patients ; Risk analysis ; Risk factors ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Viral diseases ; Water Quality/Water Pollution</subject><ispartof>Microbial ecology, 2022-11, Vol.84 (4), p.1236-1244</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-19aa6c9e0ff3bd68d09b27919502a33bd799ca670585f6929607073d2f9c1f9c3</citedby><cites>FETCH-LOGICAL-c474t-19aa6c9e0ff3bd68d09b27919502a33bd799ca670585f6929607073d2f9c1f9c3</cites><orcidid>0000-0002-8748-1841</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00248-021-01913-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00248-021-01913-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34738157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Khan, Abdul Arif</creatorcontrib><creatorcontrib>Farooq, Fozia</creatorcontrib><creatorcontrib>Jain, Sudhir K.</creatorcontrib><creatorcontrib>Golinska, Patrycja</creatorcontrib><creatorcontrib>Rai, Mahendra</creatorcontrib><title>Comparative Host–Pathogen Interaction Analyses of SARS-CoV2 and Aspergillus fumigatus, and Pathogenesis of COVID-19-Associated Aspergillosis</title><title>Microbial ecology</title><addtitle>Microb Ecol</addtitle><addtitle>Microb Ecol</addtitle><description>COVID-19 caused a global catastrophe with a large number of cases making it one of the major pandemics of the human history. The clinical presentations of the disease are continuously challenging healthcare workers with the variation of pandemic waves and viral variants. Recently, SARS-CoV2 patients have shown increased occurrence of invasive pulmonary aspergillosis infection even in the absence of traditional risk factors. The mechanism of COVID-19-associated aspergillosis is not completely understood and therefore, we performed this system biological study in order to identify mechanistic implications of aspergillosis susceptibility in COVID-19 patients and the important targets associated with this disease. We performed host–pathogen interaction (HPI) analysis of SARS-CoV2, and most common COVID-19-associated aspergillosis pathogen,
Aspergillus fumigatus,
using in silico approaches. The known host–pathogen interactions data of SARS-CoV2 was obtained from BIOGRID database. In addition,
A. fumigatus
host–pathogen interactions were predicted through homology modeling. The human targets interacting with both pathogens were separately analyzed for their involvement in aspergillosis. The aspergillosis human targets were screened from DisGeNet and GeneCards. The aspergillosis targets involved in both HPI were further analyzed for functional overrepresentation analysis using PANTHER. The results indicate that both pathogens interact with a number of aspergillosis targets and altogether they recruit more aspergillosis targets in host–pathogen interaction than alone. Common aspergillosis targets involved in HPI with both SARS-CoV2 and
A. fumigatus
can indicate strategies for the management of both conditions by modulating these common disease targets.</description><subject>Aspergillosis</subject><subject>Aspergillus fumigatus</subject><subject>Biomedical and Life Sciences</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Diseases</subject><subject>Ecology</subject><subject>Fungal infections</subject><subject>Geoecology/Natural Processes</subject><subject>Homology</subject><subject>Host Microbe Interactions</subject><subject>Host-pathogen interactions</subject><subject>Life Sciences</subject><subject>Medical personnel</subject><subject>Microbial Ecology</subject><subject>Microbiology</subject><subject>Nature Conservation</subject><subject>Pandemics</subject><subject>Pathogenesis</subject><subject>Pathogens</subject><subject>Patients</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome 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Fozia</au><au>Jain, Sudhir K.</au><au>Golinska, Patrycja</au><au>Rai, Mahendra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Host–Pathogen Interaction Analyses of SARS-CoV2 and Aspergillus fumigatus, and Pathogenesis of COVID-19-Associated Aspergillosis</atitle><jtitle>Microbial ecology</jtitle><stitle>Microb Ecol</stitle><addtitle>Microb Ecol</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>84</volume><issue>4</issue><spage>1236</spage><epage>1244</epage><pages>1236-1244</pages><issn>0095-3628</issn><eissn>1432-184X</eissn><abstract>COVID-19 caused a global catastrophe with a large number of cases making it one of the major pandemics of the human history. The clinical presentations of the disease are continuously challenging healthcare workers with the variation of pandemic waves and viral variants. Recently, SARS-CoV2 patients have shown increased occurrence of invasive pulmonary aspergillosis infection even in the absence of traditional risk factors. The mechanism of COVID-19-associated aspergillosis is not completely understood and therefore, we performed this system biological study in order to identify mechanistic implications of aspergillosis susceptibility in COVID-19 patients and the important targets associated with this disease. We performed host–pathogen interaction (HPI) analysis of SARS-CoV2, and most common COVID-19-associated aspergillosis pathogen,
Aspergillus fumigatus,
using in silico approaches. The known host–pathogen interactions data of SARS-CoV2 was obtained from BIOGRID database. In addition,
A. fumigatus
host–pathogen interactions were predicted through homology modeling. The human targets interacting with both pathogens were separately analyzed for their involvement in aspergillosis. The aspergillosis human targets were screened from DisGeNet and GeneCards. The aspergillosis targets involved in both HPI were further analyzed for functional overrepresentation analysis using PANTHER. The results indicate that both pathogens interact with a number of aspergillosis targets and altogether they recruit more aspergillosis targets in host–pathogen interaction than alone. Common aspergillosis targets involved in HPI with both SARS-CoV2 and
A. fumigatus
can indicate strategies for the management of both conditions by modulating these common disease targets.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>34738157</pmid><doi>10.1007/s00248-021-01913-6</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8748-1841</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aspergillosis Aspergillus fumigatus Biomedical and Life Sciences Coronaviruses COVID-19 Diseases Ecology Fungal infections Geoecology/Natural Processes Homology Host Microbe Interactions Host-pathogen interactions Life Sciences Medical personnel Microbial Ecology Microbiology Nature Conservation Pandemics Pathogenesis Pathogens Patients Risk analysis Risk factors Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Viral diseases Water Quality/Water Pollution |
title | Comparative Host–Pathogen Interaction Analyses of SARS-CoV2 and Aspergillus fumigatus, and Pathogenesis of COVID-19-Associated Aspergillosis |
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