Serveur d'exploration MERS

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Comparison of Serologic Assays for Middle East Respiratory Syndrome Coronavirus

Identifieur interne : 000654 ( Main/Exploration ); précédent : 000653; suivant : 000655

Comparison of Serologic Assays for Middle East Respiratory Syndrome Coronavirus

Auteurs : Ruth Harvey ; Giada Mattiuzzo ; Mark Hassall ; Andrea Sieberg ; Marcel A. Müller ; Christian Drosten ; Peter Rigsby ; Christopher J. Oxenford

Source :

RBID : PMC:6759245

Abstract

Middle East respiratory syndrome coronavirus (MERS-CoV) was detected in humans in 2012. Since then, sporadic outbreaks with primary transmission through dromedary camels to humans and outbreaks in healthcare settings have shown that MERS-CoV continues to pose a threat to human health. Several serologic assays for MERS-CoV have been developed globally. We describe a collaborative study to investigate the comparability of serologic assays for MERS-CoV and assess any benefit associated with the introduction of a standard reference reagent for MERS-CoV serology. Our study findings indicate that, when possible, laboratories should use a testing algorithm including >2 tests to ensure correct diagnosis of MERS-CoV. We also demonstrate that the use of a reference reagent greatly improves the agreement between assays, enabling more consistent and therefore more meaningful comparisons between results.


Url:
DOI: 10.3201/eid2510.190497
PubMed: 31423969
PubMed Central: 6759245


Affiliations:


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<p>Middle East respiratory syndrome coronavirus (MERS-CoV) was detected in humans in 2012. Since then, sporadic outbreaks with primary transmission through dromedary camels to humans and outbreaks in healthcare settings have shown that MERS-CoV continues to pose a threat to human health. Several serologic assays for MERS-CoV have been developed globally. We describe a collaborative study to investigate the comparability of serologic assays for MERS-CoV and assess any benefit associated with the introduction of a standard reference reagent for MERS-CoV serology. Our study findings indicate that, when possible, laboratories should use a testing algorithm including
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