Systems approaches to coronavirus pathogenesis
Identifieur interne : 002889 ( Ncbi/Merge ); précédent : 002888; suivant : 002890Systems approaches to coronavirus pathogenesis
Auteurs : Alexandra Sch Fer [États-Unis] ; Ralph S. Baric [États-Unis] ; Martin T. Ferris [États-Unis]Source :
- Current Opinion in Virology [ 1879-6257 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- physiologie : Coronavirus.
- virologie : Infections à coronavirus.
- étiologie : Infections à coronavirus.
- Animaux, Biologie des systèmes, Génétique, Humains, Interactions hôte-pathogène, Techniques génétiques.
English descriptors
- KwdEn :
- MESH :
- etiology : Coronavirus Infections.
- methods : Systems Biology.
- physiology : Coronavirus.
- virology : Coronavirus Infections.
- Animals, Genetic Techniques, Genetics, Host-Pathogen Interactions, Humans.
Abstract
Coronaviruses (CoV) emergence has caused two major outbreaks within the past decade. Systems biology has identified host components critical to CoV pathogenesis. CoV disease is influenced by host genetic polymorphisms. Systems genetics drives a broader insight into viral disease outcomes. Both approaches provide transitions into therapeutics and human disease.
Url:
DOI: 10.1016/j.coviro.2014.04.007
PubMed: 24842079
PubMed Central: 4076299
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PMC:4076299Le document en format XML
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<front><div type="abstract" xml:lang="en"><title>Highlights</title>
<p><list list-type="simple" id="lis0005"><list-item id="lsti0005"><label>•</label>
<p id="par0005">Coronaviruses (CoV) emergence has caused two major outbreaks within the past decade.</p>
</list-item>
<list-item id="lsti0010"><label>•</label>
<p id="par0010">Systems biology has identified host components critical to CoV pathogenesis.</p>
</list-item>
<list-item id="lsti0015"><label>•</label>
<p id="par0015">CoV disease is influenced by host genetic polymorphisms.</p>
</list-item>
<list-item id="lsti0020"><label>•</label>
<p id="par0020">Systems genetics drives a broader insight into viral disease outcomes.</p>
</list-item>
<list-item id="lsti0025"><label>•</label>
<p id="par0025">Both approaches provide transitions into therapeutics and human disease.</p>
</list-item>
</list>
</p>
</div>
</front>
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<double pmid="24842079"><pmc><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Systems approaches to coronavirus pathogenesis</title>
<author><name sortKey="Sch Fer, Alexandra" sort="Sch Fer, Alexandra" uniqKey="Sch Fer A" first="Alexandra" last="Sch Fer">Alexandra Sch Fer</name>
<affiliation wicri:level="4"><nlm:aff id="aff0005">Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States</nlm:aff>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
</affiliation>
</author>
<author><name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S" last="Baric">Ralph S. Baric</name>
<affiliation wicri:level="4"><nlm:aff id="aff0005">Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States</nlm:aff>
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<region type="state">Caroline du Nord</region>
</placeName>
<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
</affiliation>
</author>
<author><name sortKey="Ferris, Martin T" sort="Ferris, Martin T" uniqKey="Ferris M" first="Martin T" last="Ferris">Martin T. Ferris</name>
<affiliation wicri:level="4"><nlm:aff id="aff0010">Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, United States</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
</placeName>
<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
</affiliation>
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<idno type="pmid">24842079</idno>
<idno type="pmc">4076299</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076299</idno>
<idno type="RBID">PMC:4076299</idno>
<idno type="doi">10.1016/j.coviro.2014.04.007</idno>
<date when="2014">2014</date>
<idno type="wicri:Area/Pmc/Corpus">001730</idno>
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<idno type="wicri:Area/Pmc/Checkpoint">000848</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000848</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Systems approaches to coronavirus pathogenesis</title>
<author><name sortKey="Sch Fer, Alexandra" sort="Sch Fer, Alexandra" uniqKey="Sch Fer A" first="Alexandra" last="Sch Fer">Alexandra Sch Fer</name>
<affiliation wicri:level="4"><nlm:aff id="aff0005">Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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<affiliation wicri:level="4"><nlm:aff id="aff0005">Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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<author><name sortKey="Ferris, Martin T" sort="Ferris, Martin T" uniqKey="Ferris M" first="Martin T" last="Ferris">Martin T. Ferris</name>
<affiliation wicri:level="4"><nlm:aff id="aff0010">Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, United States</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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</analytic>
<series><title level="j">Current Opinion in Virology</title>
<idno type="ISSN">1879-6257</idno>
<idno type="eISSN">1879-6265</idno>
<imprint><date when="2014">2014</date>
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<front><div type="abstract" xml:lang="en"><title>Highlights</title>
<p><list list-type="simple" id="lis0005"><list-item id="lsti0005"><label>•</label>
<p id="par0005">Coronaviruses (CoV) emergence has caused two major outbreaks within the past decade.</p>
</list-item>
<list-item id="lsti0010"><label>•</label>
<p id="par0010">Systems biology has identified host components critical to CoV pathogenesis.</p>
</list-item>
<list-item id="lsti0015"><label>•</label>
<p id="par0015">CoV disease is influenced by host genetic polymorphisms.</p>
</list-item>
<list-item id="lsti0020"><label>•</label>
<p id="par0020">Systems genetics drives a broader insight into viral disease outcomes.</p>
</list-item>
<list-item id="lsti0025"><label>•</label>
<p id="par0025">Both approaches provide transitions into therapeutics and human disease.</p>
</list-item>
</list>
</p>
</div>
</front>
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<pubmed><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Systems approaches to Coronavirus pathogenesis.</title>
<author><name sortKey="Sch Fer, Alexandra" sort="Sch Fer, Alexandra" uniqKey="Sch Fer A" first="Alexandra" last="Sch Fer">Alexandra Sch Fer</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States.</nlm:affiliation>
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<wicri:regionArea>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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<author><name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S" last="Baric">Ralph S. Baric</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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<author><name sortKey="Ferris, Martin T" sort="Ferris, Martin T" uniqKey="Ferris M" first="Martin T" last="Ferris">Martin T. Ferris</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, United States. Electronic address: mtferris@unc.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Systems approaches to Coronavirus pathogenesis.</title>
<author><name sortKey="Sch Fer, Alexandra" sort="Sch Fer, Alexandra" uniqKey="Sch Fer A" first="Alexandra" last="Sch Fer">Alexandra Sch Fer</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
</placeName>
<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
</affiliation>
</author>
<author><name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S" last="Baric">Ralph S. Baric</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
</placeName>
<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
</affiliation>
</author>
<author><name sortKey="Ferris, Martin T" sort="Ferris, Martin T" uniqKey="Ferris M" first="Martin T" last="Ferris">Martin T. Ferris</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, United States. Electronic address: mtferris@unc.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill</wicri:regionArea>
<placeName><settlement type="city">Chapel Hill (Caroline du Nord)</settlement>
<region type="state">Caroline du Nord</region>
</placeName>
<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j">Current opinion in virology</title>
<idno type="eISSN">1879-6265</idno>
<imprint><date when="2014" type="published">2014</date>
</imprint>
</series>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
<term>Coronavirus (physiology)</term>
<term>Coronavirus Infections (etiology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Genetic Techniques</term>
<term>Genetics</term>
<term>Host-Pathogen Interactions</term>
<term>Humans</term>
<term>Systems Biology (methods)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term>
<term>Biologie des systèmes ()</term>
<term>Coronavirus (physiologie)</term>
<term>Génétique</term>
<term>Humains</term>
<term>Infections à coronavirus (virologie)</term>
<term>Infections à coronavirus (étiologie)</term>
<term>Interactions hôte-pathogène</term>
<term>Techniques génétiques</term>
</keywords>
<keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Systems Biology</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Genetic Techniques</term>
<term>Genetics</term>
<term>Host-Pathogen Interactions</term>
<term>Humans</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Animaux</term>
<term>Biologie des systèmes</term>
<term>Génétique</term>
<term>Humains</term>
<term>Interactions hôte-pathogène</term>
<term>Techniques génétiques</term>
</keywords>
</textClass>
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<front><div type="abstract" xml:lang="en">Coronaviruses comprise a large group of emergent human and animal pathogens, including the highly pathogenic SARS-CoV and MERS-CoV strains that cause significant morbidity and mortality in infected individuals, especially the elderly. As emergent viruses may cause episodic outbreaks of disease over time, human samples are limited. Systems biology and genetic technologies maximize opportunities for identifying critical host and viral genetic factors that regulate susceptibility and virus-induced disease severity. These approaches provide discovery platforms that highlight and allow targeted confirmation of critical targets for prophylactics and therapeutics, especially critical in an outbreak setting. Although poorly understood, it has long been recognized that host regulation of virus-associated disease severity is multigenic. The advent of systems genetic and biology resources provides new opportunities for deconvoluting the complex genetic interactions and expression networks that regulate pathogenic or protective host response patterns following virus infection. Using SARS-CoV as a model, dynamic transcriptional network changes and disease-associated phenotypes have been identified in different genetic backgrounds, leading to the promise of population-wide discovery of the underpinnings of Coronavirus pathogenesis. </div>
</front>
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