Systems approaches to coronavirus pathogenesis
Identifieur interne : 001299 ( Pmc/Curation ); précédent : 001298; suivant : 001300Systems 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.
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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<record><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="1"><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></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="1"><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></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="1"><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></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><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">001299</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001299</idno><idno type="wicri:Area/Pmc/Curation">001299</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001299</idno></publicationStmt><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="1"><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></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="1"><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></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="1"><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></affiliation></author></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></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><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><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Peiris, J S" uniqKey="Peiris J">J.S. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Curr Opin Virol</journal-id><journal-id journal-id-type="iso-abbrev">Curr Opin Virol</journal-id><journal-title-group><journal-title>Current Opinion in Virology</journal-title></journal-title-group><issn pub-type="ppub">1879-6257</issn><issn pub-type="epub">1879-6265</issn><publisher><publisher-name>Elsevier B.V.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24842079</article-id><article-id pub-id-type="pmc">4076299</article-id><article-id pub-id-type="publisher-id">S1879-6257(14)00089-3</article-id><article-id pub-id-type="doi">10.1016/j.coviro.2014.04.007</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Systems approaches to coronavirus pathogenesis</article-title></title-group><contrib-group><contrib contrib-type="author" id="aut0005"><name><surname>Schäfer</surname><given-names>Alexandra</given-names></name><xref rid="aff0005" ref-type="aff">1</xref></contrib><contrib contrib-type="author" id="aut0010"><name><surname>Baric</surname><given-names>Ralph S</given-names></name><xref rid="aff0005" ref-type="aff">1</xref></contrib><contrib contrib-type="author" id="aut0015"><name><surname>Ferris</surname><given-names>Martin T</given-names></name><email>mtferris@unc.edu</email><xref rid="aff0010" ref-type="aff">2</xref></contrib></contrib-group><aff id="aff0005"><label>1</label>Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, United States</aff><aff id="aff0010"><label>2</label>Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, United States</aff><pub-date pub-type="pmc-release"><day>17</day><month>5</month><year>2014</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub"><month>6</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>17</day><month>5</month><year>2014</year></pub-date><volume>6</volume><fpage>61</fpage><lpage>69</lpage><permissions><copyright-statement>Copyright © 2014 Elsevier B.V. All rights reserved.</copyright-statement><copyright-year>2014</copyright-year><copyright-holder>Elsevier B.V.</copyright-holder><license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p></license></permissions><abstract abstract-type="author-highlights" id="abs0005"><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></abstract><abstract id="abs0010"><p>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.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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