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Systems approaches to coronavirus pathogenesis

Identifieur interne : 002889 ( Ncbi/Merge ); précédent : 002888; suivant : 002890

Systems approaches to coronavirus pathogenesis

Auteurs : Alexandra Sch Fer [États-Unis] ; Ralph S. Baric [États-Unis] ; Martin T. Ferris [États-Unis]

Source :

RBID : PMC:4076299

Descripteurs français

English descriptors

Abstract

Highlights

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:4076299

Le document en format XML

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<p id="par0015">CoV disease is influenced by host genetic polymorphisms.</p>
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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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<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>
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<term>Animaux</term>
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<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>
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<term>Coronavirus Infections</term>
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<term>Systems Biology</term>
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<term>Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Coronavirus</term>
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<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Coronavirus Infections</term>
</keywords>
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<term>Infections à coronavirus</term>
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<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>
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