Serveur d'exploration MERS

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Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates

Identifieur interne : 001C92 ( Main/Exploration ); précédent : 001C91; suivant : 001C93

Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates

Auteurs : Christian Selinger ; Jennifer Tisoncik-Go ; Vineet D. Menachery ; Sudhakar Agnihothram ; G Lynn Law ; Jean Chang ; Sara M. Kelly ; Pavel Sova ; Ralph S. Baric ; Michael G. Katze

Source :

RBID : PMC:4522970

Descripteurs français

English descriptors

Abstract

Background

The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic and pathogenic potential of emerging coronaviruses in humans. Clinical features of Middle East respiratory syndrome (MERS) include atypical pneumonia and progressive respiratory failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV SA 1 and MERS-CoV Eng 1.

Results

Using topological techniques, including persistence homology and filtered clustering, we performed a comparative transcriptional analysis of human Calu-3 cell host responses to the different MERS-CoV strains, with MERS-CoV Eng 1 inducing early kinetic changes, between 3 and 12 hours post infection, compared to MERS-CoV SA 1. Robust transcriptional changes distinguished the two MERS-CoV strains predominantly at the late time points. Combining statistical analysis of infection and cytokine-stimulated Calu-3 transcriptomics, we identified differential innate responses, including up-regulation of extracellular remodeling genes following MERS-CoV Eng 1 infection and differential pro-inflammatory responses.

Conclusions

Through our genomics-based approach, we found topological differences in the kinetics and magnitude of the host response to MERS-CoV SA 1 and MERS-CoV Eng 1, with differential expression of innate immune and pro-inflammatory responsive genes as a result of IFN, TNF and IL-1α signaling. Predicted activation for STAT3 mediating gene expression relevant for epithelial cell-to-cell adherens and junction signaling in MERS-CoV Eng 1 infection suggest that these transcriptional differences may be the result of amino acid differences in viral proteins known to modulate innate immunity during MERS-CoV infection.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-1161) contains supplementary material, which is available to authorized users.


Url:
DOI: 10.1186/1471-2164-15-1161
PubMed: 25534508
PubMed Central: 4522970


Affiliations:


Links toward previous steps (curation, corpus...)


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<term>Cell Line</term>
<term>Cytokines (pharmacology)</term>
<term>Gene Expression Profiling</term>
<term>Genomics</term>
<term>Host-Pathogen Interactions (immunology)</term>
<term>Humans</term>
<term>Immunity, Innate (drug effects)</term>
<term>Inflammation (virology)</term>
<term>Middle East Respiratory Syndrome Coronavirus (genetics)</term>
<term>Middle East Respiratory Syndrome Coronavirus (isolation & purification)</term>
<term>Middle East Respiratory Syndrome Coronavirus (physiology)</term>
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<term>Analyse de profil d'expression de gènes</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (génétique)</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification)</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (physiologie)</term>
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<term>Inflammation (virologie)</term>
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<term>Lignée cellulaire</term>
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<term>STAT3 Transcription Factor</term>
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<term>Middle East Respiratory Syndrome Coronavirus</term>
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<term>Middle East Respiratory Syndrome Coronavirus</term>
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<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
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<term>Facteur de transcription STAT-3</term>
</keywords>
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<term>Cytokines</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr">
<term>Inflammation</term>
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<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Inflammation</term>
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<keywords scheme="MESH" xml:lang="en">
<term>Cell Line</term>
<term>Gene Expression Profiling</term>
<term>Genomics</term>
<term>Humans</term>
<term>Time Factors</term>
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<term>Analyse de profil d'expression de gènes</term>
<term>Facteurs temps</term>
<term>Génomique</term>
<term>Humains</term>
<term>Immunité innée</term>
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<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic and pathogenic potential of emerging coronaviruses in humans. Clinical features of Middle East respiratory syndrome (MERS) include atypical pneumonia and progressive respiratory failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV SA 1 and MERS-CoV Eng 1.</p>
</sec>
<sec>
<title>Results</title>
<p>Using topological techniques, including persistence homology and filtered clustering, we performed a comparative transcriptional analysis of human Calu-3 cell host responses to the different MERS-CoV strains, with MERS-CoV Eng 1 inducing early kinetic changes, between 3 and 12 hours post infection, compared to MERS-CoV SA 1. Robust transcriptional changes distinguished the two MERS-CoV strains predominantly at the late time points. Combining statistical analysis of infection and cytokine-stimulated Calu-3 transcriptomics, we identified differential innate responses, including up-regulation of extracellular remodeling genes following MERS-CoV Eng 1 infection and differential pro-inflammatory responses.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Through our genomics-based approach, we found topological differences in the kinetics and magnitude of the host response to MERS-CoV SA 1 and MERS-CoV Eng 1, with differential expression of innate immune and pro-inflammatory responsive genes as a result of IFN, TNF and IL-1α signaling. Predicted activation for STAT3 mediating gene expression relevant for epithelial cell-to-cell adherens and junction signaling in MERS-CoV Eng 1 infection suggest that these transcriptional differences may be the result of amino acid differences in viral proteins known to modulate innate immunity during MERS-CoV infection.</p>
</sec>
<sec>
<title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/1471-2164-15-1161) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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<name sortKey="Bestebroer, Tm" uniqKey="Bestebroer T">TM Bestebroer</name>
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<name sortKey="Agnihothram, Sudhakar" sort="Agnihothram, Sudhakar" uniqKey="Agnihothram S" first="Sudhakar" last="Agnihothram">Sudhakar Agnihothram</name>
<name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S" last="Baric">Ralph S. Baric</name>
<name sortKey="Chang, Jean" sort="Chang, Jean" uniqKey="Chang J" first="Jean" last="Chang">Jean Chang</name>
<name sortKey="Katze, Michael G" sort="Katze, Michael G" uniqKey="Katze M" first="Michael G" last="Katze">Michael G. Katze</name>
<name sortKey="Kelly, Sara M" sort="Kelly, Sara M" uniqKey="Kelly S" first="Sara M" last="Kelly">Sara M. Kelly</name>
<name sortKey="Law, G Lynn" sort="Law, G Lynn" uniqKey="Law G" first="G Lynn" last="Law">G Lynn Law</name>
<name sortKey="Menachery, Vineet D" sort="Menachery, Vineet D" uniqKey="Menachery V" first="Vineet D" last="Menachery">Vineet D. Menachery</name>
<name sortKey="Selinger, Christian" sort="Selinger, Christian" uniqKey="Selinger C" first="Christian" last="Selinger">Christian Selinger</name>
<name sortKey="Sova, Pavel" sort="Sova, Pavel" uniqKey="Sova P" first="Pavel" last="Sova">Pavel Sova</name>
<name sortKey="Tisoncik Go, Jennifer" sort="Tisoncik Go, Jennifer" uniqKey="Tisoncik Go J" first="Jennifer" last="Tisoncik-Go">Jennifer Tisoncik-Go</name>
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