Serveur d'exploration MERS

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Performance and clinical validation of the RealStar® MERS-CoV Kit for detection of Middle East respiratory syndrome coronavirus RNA

Identifieur interne : 001B23 ( Main/Exploration ); précédent : 001B22; suivant : 001B24

Performance and clinical validation of the RealStar® MERS-CoV Kit for detection of Middle East respiratory syndrome coronavirus RNA

Auteurs : Victor Max Corman [Allemagne] ; Stephan Ölschl Ger [Allemagne] ; Clemens-Martin Wendtner [Allemagne] ; Jan Felix Drexler [Allemagne] ; Markus Hess [Allemagne] ; Christian Drosten [Allemagne]

Source :

RBID : PMC:7106532

Descripteurs français

English descriptors

Abstract

Background

A highly pathogenic human coronavirus causing respiratory disease emerged in the Middle East region in 2012. In-house molecular diagnostic methods for this virus termed Middle East respiratory syndrome coronavirus (MERS-CoV) allowed sensitive MERS-CoV RNA detection in patient samples. Fast diagnosis is important to manage human cases and trace possible contacts.

Objectives

The aim of this study was to improve the availability of existing nucleic acid amplification-based diagnostic methods for MERS-CoV infections by providing a real-time RT-PCR kit, including an internal control and two target regions recommended by the World Health Organization (WHO). And to validate this kit (RealStar® MERS-CoV RT-PCR kit 1.0, Altona Diagnostics GmbH, Hamburg, Germany) using clinical samples of one MERS-CoV case from Munich and respiratory samples of patients with other respiratory diseases.

Study design

An internal amplification control was included into the RT-PCR assays targeting the genomic region upstream of the Envelope gene (upE) and within open reading frame (ORF) 1A. Based on these assays, a ready-to-use real-time RT-PCR kit featuring both the upE and ORF1A assays was developed, validated and compared to the established in-house versions.

Results

The performance of both RT-PCR assays included in the kit is comparable to the in-house assays. They show high analytical sensitivity (upE: 5.3 copies/reaction; ORF1A: 9.3 copies/reaction), no cross-reactivity with other respiratory pathogens and detected MERS-CoV RNA in patient samples in almost the same manner as the in-house versions.

Conclusion

The kit is a valuable tool for assisting in the rapid diagnosis, patient management and epidemiology of suspected MERS-CoV cases.


Url:
DOI: 10.1016/j.jcv.2014.03.012
PubMed: 24726679
PubMed Central: 7106532


Affiliations:


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


Le document en format XML

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<sec>
<title>Background</title>
<p>A highly pathogenic human coronavirus causing respiratory disease emerged in the Middle East region in 2012. In-house molecular diagnostic methods for this virus termed
<italic>Middle East respiratory syndrome coronavirus</italic>
(MERS-CoV) allowed sensitive MERS-CoV RNA detection in patient samples. Fast diagnosis is important to manage human cases and trace possible contacts.</p>
</sec>
<sec>
<title>Objectives</title>
<p>The aim of this study was to improve the availability of existing nucleic acid amplification-based diagnostic methods for MERS-CoV infections by providing a real-time RT-PCR kit, including an internal control and two target regions recommended by the World Health Organization (WHO). And to validate this kit (RealStar
<sup>®</sup>
MERS-CoV RT-PCR kit 1.0, Altona Diagnostics GmbH, Hamburg, Germany) using clinical samples of one MERS-CoV case from Munich and respiratory samples of patients with other respiratory diseases.</p>
</sec>
<sec>
<title>Study design</title>
<p>An internal amplification control was included into the RT-PCR assays targeting the genomic region upstream of the
<italic>Envelope</italic>
gene (upE) and within open reading frame (ORF) 1A. Based on these assays, a ready-to-use real-time RT-PCR kit featuring both the upE and ORF1A assays was developed, validated and compared to the established in-house versions.</p>
</sec>
<sec>
<title>Results</title>
<p>The performance of both RT-PCR assays included in the kit is comparable to the in-house assays. They show high analytical sensitivity (upE: 5.3 copies/reaction; ORF1A: 9.3 copies/reaction), no cross-reactivity with other respiratory pathogens and detected MERS-CoV RNA in patient samples in almost the same manner as the in-house versions.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The kit is a valuable tool for assisting in the rapid diagnosis, patient management and epidemiology of suspected MERS-CoV cases.</p>
</sec>
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<list>
<country>
<li>Allemagne</li>
</country>
<region>
<li>Bavière</li>
<li>District de Cologne</li>
<li>District de Haute-Bavière</li>
<li>Hambourg</li>
<li>Rhénanie-du-Nord-Westphalie</li>
</region>
<settlement>
<li>Bonn</li>
<li>Hambourg</li>
<li>Munich</li>
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<name sortKey="Corman, Victor Max" sort="Corman, Victor Max" uniqKey="Corman V" first="Victor Max" last="Corman">Victor Max Corman</name>
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<name sortKey="Drexler, Jan Felix" sort="Drexler, Jan Felix" uniqKey="Drexler J" first="Jan Felix" last="Drexler">Jan Felix Drexler</name>
<name sortKey="Drosten, Christian" sort="Drosten, Christian" uniqKey="Drosten C" first="Christian" last="Drosten">Christian Drosten</name>
<name sortKey="Hess, Markus" sort="Hess, Markus" uniqKey="Hess M" first="Markus" last="Hess">Markus Hess</name>
<name sortKey="Olschl Ger, Stephan" sort="Olschl Ger, Stephan" uniqKey="Olschl Ger S" first="Stephan" last="Ölschl Ger">Stephan Ölschl Ger</name>
<name sortKey="Wendtner, Clemens Martin" sort="Wendtner, Clemens Martin" uniqKey="Wendtner C" first="Clemens-Martin" last="Wendtner">Clemens-Martin Wendtner</name>
</country>
</tree>
</affiliations>
</record>

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