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Validation of a Commercially Available Indirect Elisa Using a Nucleocapside Recombinant Protein for Detection of Schmallenberg Virus Antibodies

Overview of attention for article published in PLOS ONE, January 2013
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Title
Validation of a Commercially Available Indirect Elisa Using a Nucleocapside Recombinant Protein for Detection of Schmallenberg Virus Antibodies
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053446
Pubmed ID
Authors

Emmanuel Bréard, Estelle Lara, Loïc Comtet, Cyril Viarouge, Virginie Doceul, Alexandra Desprat, Damien Vitour, Nathalie Pozzi, Ann Brigitte Cay, Nick De Regge, Philippe Pourquier, Horst Schirrmeier, Bernd Hoffmann, Martin Beer, Corinne Sailleau, Stéphan Zientara

Abstract

A newly developed Enzym Like Immuno Sorbant Assay (ELISA) based on the recombinant nucleocapsid protein (N) of Schmallenberg virus (SBV) was evaluated and validated for the detection of SBV-specific IgG antibodies in ruminant sera by three European Reference Laboratories. Validation data sets derived from sheep, goat and bovine sera collected in France and Germany (n = 1515) in 2011 and 2012 were categorized according to the results of a virus neutralization test (VNT) or an indirect immuno-fluorescence assay (IFA). The specificity was evaluated with 1364 sera from sheep, goat and bovine collected in France and Belgium before 2009. Overall agreement between VNT and ELISA was 98.9% and 98.3% between VNT and IFA, indicating a very good concordance between the different techniques. Although cross-reactions with other Orthobunyavirus from the Simbu serogroup viruses might occur, it is a highly sensitive, specific and robust ELISA-test validated to detect anti-SBV antibodies. This test can be applied for SBV sero-diagnostics and disease-surveillance studies in ruminant species in Europe.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Master 11 16%
Student > Ph. D. Student 10 15%
Student > Doctoral Student 9 13%
Student > Bachelor 5 7%
Other 11 16%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 27%
Veterinary Science and Veterinary Medicine 17 25%
Biochemistry, Genetics and Molecular Biology 9 13%
Immunology and Microbiology 3 4%
Medicine and Dentistry 3 4%
Other 7 10%
Unknown 10 15%