Serveur d'exploration MERS

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Evaluation and Clinical Validation of Two Field–Deployable Reverse Transcription-Insulated Isothermal PCR Assays for the Detection of the Middle East Respiratory Syndrome–Coronavirus

Identifieur interne : 000D94 ( Main/Exploration ); précédent : 000D93; suivant : 000D95

Evaluation and Clinical Validation of Two Field–Deployable Reverse Transcription-Insulated Isothermal PCR Assays for the Detection of the Middle East Respiratory Syndrome–Coronavirus

Auteurs : Yun Young Go [Corée du Sud] ; Yeon-Sook Kim [Corée du Sud] ; Shinhye Cheon [Corée du Sud] ; Sangwoo Nam [Corée du Sud] ; Keun Bon Ku [Corée du Sud] ; Meehyein Kim [Corée du Sud] ; Nam Hyuk Cho [Corée du Sud] ; Hyun Park [Corée du Sud] ; Pei-Yu Alison Lee [États-Unis] ; Yu-Chun Lin [États-Unis] ; Yun-Long Tsai [États-Unis] ; Hwa-Tang Thomas Wang [États-Unis] ; Udeni B. R. Balasuriya [États-Unis]

Source :

RBID : PMC:7106309

Descripteurs français

English descriptors

Abstract

Middle East respiratory syndrome (MERS) is an emerging zoonotic viral respiratory disease that was first identified in Saudi Arabia in 2012. In 2015, the largest MERS outbreak outside of the Middle East region occurred in the Republic of Korea. The rapid nosocomial transmission of MERS-coronavirus (MERS-CoV) in Korean health care settings highlighted the importance and urgent need for a rapid and reliable on-site diagnostic assay to implement effective control and preventive measures. Here, the evaluation and validation of two newly developed reverse transcription–insulated isothermal PCR (RT-iiPCR) methods targeting the ORF1a and upE genes of MERS-CoV are described. Compared with World Health Organization-recommended singleplex real-time quantitative RT-PCR (RT-qPCR) assays, both RT-iiPCR assays had comparable analytical sensitivity for the detection of MERS-CoV RNA in tissue culture fluid and in sputum samples spiked with infectious virus. Furthermore, clinical evaluation was performed with sputum samples collected from subjects with acute and chronic respiratory illnesses, including patients infected with MERS-CoV. The overall agreement values between the two RT-iiPCR assays and the reference RT-qPCR assays were 98.06% (95% CI, 94.43%–100%; κ = 0.96) and 99.03% (95% CI, 95.88%–100%; κ = 0.99) for ORF1a and upE assays, respectively. The ORF1a and upE MERS-CoV RT-iiPCR assays coupled with a field-deployable system provide a platform for a highly sensitive and specific on-site tool for diagnosis of MERS-CoV infections.


Url:
DOI: 10.1016/j.jmoldx.2017.06.007
PubMed: 28807812
PubMed Central: 7106309


Affiliations:


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Le document en format XML

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<name sortKey="Kim, Yeon Sook" sort="Kim, Yeon Sook" uniqKey="Kim Y" first="Yeon-Sook" last="Kim">Yeon-Sook Kim</name>
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<name sortKey="Cheon, Shinhye" sort="Cheon, Shinhye" uniqKey="Cheon S" first="Shinhye" last="Cheon">Shinhye Cheon</name>
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<name sortKey="Nam, Sangwoo" sort="Nam, Sangwoo" uniqKey="Nam S" first="Sangwoo" last="Nam">Sangwoo Nam</name>
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<name sortKey="Ku, Keun Bon" sort="Ku, Keun Bon" uniqKey="Ku K" first="Keun Bon" last="Ku">Keun Bon Ku</name>
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<name sortKey="Kim, Meehyein" sort="Kim, Meehyein" uniqKey="Kim M" first="Meehyein" last="Kim">Meehyein Kim</name>
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<name sortKey="Cho, Nam Hyuk" sort="Cho, Nam Hyuk" uniqKey="Cho N" first="Nam Hyuk" last="Cho">Nam Hyuk Cho</name>
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<country xml:lang="fr">Corée du Sud</country>
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<region type="capital">Région capitale de Séoul</region>
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<name sortKey="Park, Hyun" sort="Park, Hyun" uniqKey="Park H" first="Hyun" last="Park">Hyun Park</name>
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<nlm:aff id="aff5">Department of Infection Biology, School of Medicine, Wonkwang University, Iksan, Republic of Korea</nlm:aff>
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<name sortKey="Alison Lee, Pei Yu" sort="Alison Lee, Pei Yu" uniqKey="Alison Lee P" first="Pei-Yu" last="Alison Lee">Pei-Yu Alison Lee</name>
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<name sortKey="Lin, Yu Chun" sort="Lin, Yu Chun" uniqKey="Lin Y" first="Yu-Chun" last="Lin">Yu-Chun Lin</name>
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<name sortKey="Tsai, Yun Long" sort="Tsai, Yun Long" uniqKey="Tsai Y" first="Yun-Long" last="Tsai">Yun-Long Tsai</name>
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<name sortKey="Thomas Wang, Hwa Tang" sort="Thomas Wang, Hwa Tang" uniqKey="Thomas Wang H" first="Hwa-Tang" last="Thomas Wang">Hwa-Tang Thomas Wang</name>
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<name sortKey="Balasuriya, Udeni B R" sort="Balasuriya, Udeni B R" uniqKey="Balasuriya U" first="Udeni B. R." last="Balasuriya">Udeni B. R. Balasuriya</name>
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<nlm:aff id="aff7">Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment and Department of Microbiology, Immunology and Molecular Genetics, College of Medicine, University of Kentucky, Lexington, Kentucky</nlm:aff>
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<region type="state">Kentucky</region>
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<wicri:cityArea>Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment and Department of Microbiology, Immunology and Molecular Genetics, College of Medicine, University of Kentucky, Lexington</wicri:cityArea>
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<title level="j">The Journal of Molecular Diagnostics : JMD</title>
<idno type="ISSN">1525-1578</idno>
<idno type="eISSN">1943-7811</idno>
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<date when="2017">2017</date>
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<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (genetics)</term>
<term>Coronavirus Infections (virology)</term>
<term>Humans</term>
<term>Middle East Respiratory Syndrome Coronavirus (genetics)</term>
<term>Middle East Respiratory Syndrome Coronavirus (isolation & purification)</term>
<term>Middle East Respiratory Syndrome Coronavirus (pathogenicity)</term>
<term>RNA, Viral (genetics)</term>
<term>RNA, Viral (isolation & purification)</term>
<term>Real-Time Polymerase Chain Reaction (methods)</term>
<term>Republic of Korea (epidemiology)</term>
<term>Reverse Transcription (genetics)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>ARN viral (génétique)</term>
<term>ARN viral (isolement et purification)</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 (pathogénicité)</term>
<term>Humains</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (génétique)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Réaction de polymérisation en chaine en temps réel ()</term>
<term>République de Corée (épidémiologie)</term>
<term>Transcription inverse (génétique)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en">
<term>RNA, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en">
<term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr">
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Republic of Korea</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Middle East Respiratory Syndrome Coronavirus</term>
<term>Reverse Transcription</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>ARN viral</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
<term>Infections à coronavirus</term>
<term>Transcription inverse</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en">
<term>Middle East Respiratory Syndrome Coronavirus</term>
<term>RNA, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr">
<term>ARN viral</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Real-Time Polymerase Chain Reaction</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en">
<term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr">
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr">
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>République de Corée</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Humans</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Humains</term>
<term>Réaction de polymérisation en chaine en temps réel</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Middle East respiratory syndrome (MERS) is an emerging zoonotic viral respiratory disease that was first identified in Saudi Arabia in 2012. In 2015, the largest MERS outbreak outside of the Middle East region occurred in the Republic of Korea. The rapid nosocomial transmission of MERS-coronavirus (MERS-CoV) in Korean health care settings highlighted the importance and urgent need for a rapid and reliable on-site diagnostic assay to implement effective control and preventive measures. Here, the evaluation and validation of two newly developed reverse transcription–insulated isothermal PCR (RT-iiPCR) methods targeting the
<italic>ORF1a</italic>
and
<italic>upE</italic>
genes of MERS-CoV are described. Compared with World Health Organization-recommended singleplex real-time quantitative RT-PCR (RT-qPCR) assays, both RT-iiPCR assays had comparable analytical sensitivity for the detection of MERS-CoV RNA in tissue culture fluid and in sputum samples spiked with infectious virus. Furthermore, clinical evaluation was performed with sputum samples collected from subjects with acute and chronic respiratory illnesses, including patients infected with MERS-CoV. The overall agreement values between the two RT-iiPCR assays and the reference RT-qPCR assays were 98.06% (95% CI, 94.43%–100%; κ = 0.96) and 99.03% (95% CI, 95.88%–100%; κ = 0.99) for
<italic>ORF1a</italic>
and
<italic>upE</italic>
assays, respectively. The
<italic>ORF1a</italic>
and
<italic>upE</italic>
MERS-CoV RT-iiPCR assays coupled with a field-deployable system provide a platform for a highly sensitive and specific on-site tool for diagnosis of MERS-CoV infections.</p>
</div>
</front>
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<name sortKey="Drexler, J F" uniqKey="Drexler J">J.F. Drexler</name>
</author>
<author>
<name sortKey="Smits, S L" uniqKey="Smits S">S.L. Smits</name>
</author>
<author>
<name sortKey="El Tahir, Y E" uniqKey="El Tahir Y">Y.E. El Tahir</name>
</author>
<author>
<name sortKey="De Sousa, R" uniqKey="De Sousa R">R. De Sousa</name>
</author>
<author>
<name sortKey="Van Beek, J" uniqKey="Van Beek J">J. van Beek</name>
</author>
<author>
<name sortKey="Nowotny, N" uniqKey="Nowotny N">N. Nowotny</name>
</author>
<author>
<name sortKey="Van Maanen, K" uniqKey="Van Maanen K">K. van Maanen</name>
</author>
<author>
<name sortKey="Hidalgo Hermoso, E" uniqKey="Hidalgo Hermoso E">E. Hidalgo-Hermoso</name>
</author>
<author>
<name sortKey="Bosch, B J" uniqKey="Bosch B">B.J. Bosch</name>
</author>
<author>
<name sortKey="Rottier, P" uniqKey="Rottier P">P. Rottier</name>
</author>
<author>
<name sortKey="Osterhaus, A" uniqKey="Osterhaus A">A. Osterhaus</name>
</author>
<author>
<name sortKey="Gortazar Schmidt, C" uniqKey="Gortazar Schmidt C">C. Gortazar-Schmidt</name>
</author>
<author>
<name sortKey="Drosten, C" uniqKey="Drosten C">C. Drosten</name>
</author>
<author>
<name sortKey="Koopmans, M P" uniqKey="Koopmans M">M.P. Koopmans</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Omrani, A S" uniqKey="Omrani A">A.S. Omrani</name>
</author>
<author>
<name sortKey="Al Tawfiq, J A" uniqKey="Al Tawfiq J">J.A. Al-Tawfiq</name>
</author>
<author>
<name sortKey="Memish, Z A" uniqKey="Memish Z">Z.A. Memish</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Corée du Sud</li>
<li>États-Unis</li>
</country>
<region>
<li>Kentucky</li>
<li>Massachusetts</li>
<li>Région capitale de Séoul</li>
</region>
<settlement>
<li>Séoul</li>
</settlement>
</list>
<tree>
<country name="Corée du Sud">
<noRegion>
<name sortKey="Go, Yun Young" sort="Go, Yun Young" uniqKey="Go Y" first="Yun Young" last="Go">Yun Young Go</name>
</noRegion>
<name sortKey="Cheon, Shinhye" sort="Cheon, Shinhye" uniqKey="Cheon S" first="Shinhye" last="Cheon">Shinhye Cheon</name>
<name sortKey="Cho, Nam Hyuk" sort="Cho, Nam Hyuk" uniqKey="Cho N" first="Nam Hyuk" last="Cho">Nam Hyuk Cho</name>
<name sortKey="Go, Yun Young" sort="Go, Yun Young" uniqKey="Go Y" first="Yun Young" last="Go">Yun Young Go</name>
<name sortKey="Kim, Meehyein" sort="Kim, Meehyein" uniqKey="Kim M" first="Meehyein" last="Kim">Meehyein Kim</name>
<name sortKey="Kim, Meehyein" sort="Kim, Meehyein" uniqKey="Kim M" first="Meehyein" last="Kim">Meehyein Kim</name>
<name sortKey="Kim, Yeon Sook" sort="Kim, Yeon Sook" uniqKey="Kim Y" first="Yeon-Sook" last="Kim">Yeon-Sook Kim</name>
<name sortKey="Ku, Keun Bon" sort="Ku, Keun Bon" uniqKey="Ku K" first="Keun Bon" last="Ku">Keun Bon Ku</name>
<name sortKey="Nam, Sangwoo" sort="Nam, Sangwoo" uniqKey="Nam S" first="Sangwoo" last="Nam">Sangwoo Nam</name>
<name sortKey="Nam, Sangwoo" sort="Nam, Sangwoo" uniqKey="Nam S" first="Sangwoo" last="Nam">Sangwoo Nam</name>
<name sortKey="Park, Hyun" sort="Park, Hyun" uniqKey="Park H" first="Hyun" last="Park">Hyun Park</name>
</country>
<country name="États-Unis">
<region name="Massachusetts">
<name sortKey="Alison Lee, Pei Yu" sort="Alison Lee, Pei Yu" uniqKey="Alison Lee P" first="Pei-Yu" last="Alison Lee">Pei-Yu Alison Lee</name>
</region>
<name sortKey="Balasuriya, Udeni B R" sort="Balasuriya, Udeni B R" uniqKey="Balasuriya U" first="Udeni B. R." last="Balasuriya">Udeni B. R. Balasuriya</name>
<name sortKey="Lin, Yu Chun" sort="Lin, Yu Chun" uniqKey="Lin Y" first="Yu-Chun" last="Lin">Yu-Chun Lin</name>
<name sortKey="Thomas Wang, Hwa Tang" sort="Thomas Wang, Hwa Tang" uniqKey="Thomas Wang H" first="Hwa-Tang" last="Thomas Wang">Hwa-Tang Thomas Wang</name>
<name sortKey="Tsai, Yun Long" sort="Tsai, Yun Long" uniqKey="Tsai Y" first="Yun-Long" last="Tsai">Yun-Long Tsai</name>
</country>
</tree>
</affiliations>
</record>

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