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Distinct Immune Response in Two MERS-CoV-Infected Patients: Can We Go from Bench to Bedside?

Identifieur interne : 001C79 ( Main/Exploration ); précédent : 001C78; suivant : 001C80

Distinct Immune Response in Two MERS-CoV-Infected Patients: Can We Go from Bench to Bedside?

Auteurs : Emmanuel Faure [France] ; Julien Poissy [France] ; Anne Goffard [France] ; Clement Fournier [France] ; Eric Kipnis [France] ; Marie Titecat [France] ; Perinne Bortolotti [France] ; Laura Martinez [France] ; Sylvain Dubucquoi [France] ; Rodrigue Dessein [France] ; Philippe Gosset [France] ; Daniel Mathieu [France] ; Benoit Guery [France]

Source :

RBID : PMC:3925152

Descripteurs français

English descriptors

Abstract

One year after the occurrence of the first case of infection by the Middle East Respiratory Syndrome coronavirus (MERS-CoV) there is no clear consensus on the best treatment to propose. The World Health Organization, as well as several other national agencies, are still working on different clinical approaches to implement the most relevant treatment in MERS-CoV infection. We compared innate and adaptive immune responses of two patients infected with MERS-CoV to understand the underlying mechanisms involved in the response and propose potential therapeutic approaches. Broncho-alveolar lavage (BAL) of the first week and sera of the first month from the two patients were used in this study. Quantitative polymerase chain reaction (qRTPCR) was performed after extraction of RNA from BAL cells of MERS-CoV infected patients and control patients. BAL supernatants and sera were used to assess cytokines and chemokines secretion by enzyme-linked immunosorbent assay. The first patient died rapidly after 3 weeks in the intensive care unit, the second patient still recovers from infection. The patient with a poor outcome (patient 1), compared to patient 2, did not promote type-1 Interferon (IFN), and particularly IFNα, in response to double stranded RNA (dsRNA) from MERS-CoV. The absence of IFNα, known to promote antigen presentation in response to viruses, impairs the development of a robust antiviral adaptive Th-1 immune response. This response is mediated by IL-12 and IFNγ that decreases viral clearance; levels of both of these mediators were decreased in patient 1. Finally, we confirm previous in vitro findings that MERS-CoV can drive IL-17 production in humans. Host recognition of viral dsRNA determines outcome in the early stage of MERS-CoV infection. We highlight the critical role of IFNα in this initial stage to orchestrate a robust immune response and bring substantial arguments for the indication of early IFNα treatment during MERS-CoV infection.


Url:
DOI: 10.1371/journal.pone.0088716
PubMed: 24551142
PubMed Central: 3925152


Affiliations:


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


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<wicri:regionArea>Pôle de Réanimation, Hôpital Roger Salengro, Centre Hospitalier Régional et Universitaire de Lille, Université de Lille 2, Lille</wicri:regionArea>
<placeName>
<region type="region">Hauts-de-France</region>
<region type="old region">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
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</affiliation>
</author>
<author>
<name sortKey="Guery, Benoit" sort="Guery, Benoit" uniqKey="Guery B" first="Benoit" last="Guery">Benoit Guery</name>
<affiliation wicri:level="3">
<nlm:aff id="aff1">
<addr-line>Host-Pathogen translational research group, Université de Lille 2, Lille, France</addr-line>
</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Host-Pathogen translational research group, Université de Lille 2, Lille</wicri:regionArea>
<placeName>
<region type="region">Hauts-de-France</region>
<region type="old region">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">PLoS ONE</title>
<idno type="eISSN">1932-6203</idno>
<imprint>
<date when="2014">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
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<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adaptive Immunity (immunology)</term>
<term>Chemokine CXCL10 (metabolism)</term>
<term>Coronavirus (immunology)</term>
<term>Coronavirus Infections (immunology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Fatal Outcome</term>
<term>Humans</term>
<term>Immunity, Innate (immunology)</term>
<term>Interferon-alpha (metabolism)</term>
<term>Interferon-gamma (metabolism)</term>
<term>Interleukin-10 (metabolism)</term>
<term>Interleukin-12 (metabolism)</term>
<term>Interleukin-17 (metabolism)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Middle East</term>
<term>Models, Immunological</term>
<term>Respiratory Tract Infections (immunology)</term>
<term>Respiratory Tract Infections (virology)</term>
<term>Translational Medical Research</term>
<term>Treatment Outcome</term>
<term>Virus Replication (physiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adulte d'âge moyen</term>
<term>Chimiokine CXCL10 (métabolisme)</term>
<term>Coronavirus (immunologie)</term>
<term>Humains</term>
<term>Immunité acquise (immunologie)</term>
<term>Immunité innée (immunologie)</term>
<term>Infections de l'appareil respiratoire (immunologie)</term>
<term>Infections de l'appareil respiratoire (virologie)</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Interféron alpha (métabolisme)</term>
<term>Interféron gamma (métabolisme)</term>
<term>Interleukine-10 (métabolisme)</term>
<term>Interleukine-12 (métabolisme)</term>
<term>Interleukine-17 (métabolisme)</term>
<term>Issue fatale</term>
<term>Modèles immunologiques</term>
<term>Moyen Orient</term>
<term>Mâle</term>
<term>Recherche médicale translationnelle</term>
<term>Réplication virale (physiologie)</term>
<term>Résultat thérapeutique</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en">
<term>Chemokine CXCL10</term>
<term>Interferon-alpha</term>
<term>Interferon-gamma</term>
<term>Interleukin-10</term>
<term>Interleukin-12</term>
<term>Interleukin-17</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr">
<term>Coronavirus</term>
<term>Immunité acquise</term>
<term>Immunité innée</term>
<term>Infections de l'appareil respiratoire</term>
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en">
<term>Adaptive Immunity</term>
<term>Coronavirus</term>
<term>Coronavirus Infections</term>
<term>Immunity, Innate</term>
<term>Respiratory Tract Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr">
<term>Chimiokine CXCL10</term>
<term>Interféron alpha</term>
<term>Interféron gamma</term>
<term>Interleukine-10</term>
<term>Interleukine-12</term>
<term>Interleukine-17</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Réplication virale</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Virus Replication</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr">
<term>Infections de l'appareil respiratoire</term>
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Respiratory Tract Infections</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Fatal Outcome</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Middle East</term>
<term>Models, Immunological</term>
<term>Translational Medical Research</term>
<term>Treatment Outcome</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte d'âge moyen</term>
<term>Humains</term>
<term>Issue fatale</term>
<term>Modèles immunologiques</term>
<term>Moyen Orient</term>
<term>Mâle</term>
<term>Recherche médicale translationnelle</term>
<term>Résultat thérapeutique</term>
</keywords>
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<front>
<div type="abstract" xml:lang="en">
<p>One year after the occurrence of the first case of infection by the Middle East Respiratory Syndrome coronavirus (MERS-CoV) there is no clear consensus on the best treatment to propose. The World Health Organization, as well as several other national agencies, are still working on different clinical approaches to implement the most relevant treatment in MERS-CoV infection. We compared innate and adaptive immune responses of two patients infected with MERS-CoV to understand the underlying mechanisms involved in the response and propose potential therapeutic approaches. Broncho-alveolar lavage (BAL) of the first week and sera of the first month from the two patients were used in this study. Quantitative polymerase chain reaction (qRTPCR) was performed after extraction of RNA from BAL cells of MERS-CoV infected patients and control patients. BAL supernatants and sera were used to assess cytokines and chemokines secretion by enzyme-linked immunosorbent assay. The first patient died rapidly after 3 weeks in the intensive care unit, the second patient still recovers from infection. The patient with a poor outcome (patient 1), compared to patient 2, did not promote type-1 Interferon (IFN), and particularly IFNα, in response to double stranded RNA (dsRNA) from MERS-CoV. The absence of IFNα, known to promote antigen presentation in response to viruses, impairs the development of a robust antiviral adaptive Th-1 immune response. This response is mediated by IL-12 and IFNγ that decreases viral clearance; levels of both of these mediators were decreased in patient 1. Finally, we confirm previous
<italic>in vitro</italic>
findings that MERS-CoV can drive IL-17 production in humans. Host recognition of viral dsRNA determines outcome in the early stage of MERS-CoV infection. We highlight the critical role of IFNα in this initial stage to orchestrate a robust immune response and bring substantial arguments for the indication of early IFNα treatment during MERS-CoV infection.</p>
</div>
</front>
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<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Hauts-de-France</li>
<li>Nord-Pas-de-Calais</li>
</region>
<settlement>
<li>Lille</li>
</settlement>
</list>
<tree>
<country name="France">
<region name="Hauts-de-France">
<name sortKey="Faure, Emmanuel" sort="Faure, Emmanuel" uniqKey="Faure E" first="Emmanuel" last="Faure">Emmanuel Faure</name>
</region>
<name sortKey="Bortolotti, Perinne" sort="Bortolotti, Perinne" uniqKey="Bortolotti P" first="Perinne" last="Bortolotti">Perinne Bortolotti</name>
<name sortKey="Dessein, Rodrigue" sort="Dessein, Rodrigue" uniqKey="Dessein R" first="Rodrigue" last="Dessein">Rodrigue Dessein</name>
<name sortKey="Dubucquoi, Sylvain" sort="Dubucquoi, Sylvain" uniqKey="Dubucquoi S" first="Sylvain" last="Dubucquoi">Sylvain Dubucquoi</name>
<name sortKey="Fournier, Clement" sort="Fournier, Clement" uniqKey="Fournier C" first="Clement" last="Fournier">Clement Fournier</name>
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