BMC Veterinary Research · 2015 · 32 citations · 17 references
Veterinary MedicineInfectious DiseasesVeterinary MicrobiologyMolecular VirologyVaccinologyVirologyAnimal Infectious DiseasesAnimal VirusesAntigen Detection AssaysLivestock Infectious DiseasesVeterinary VaccinationVeterinary VirologyAntibody Detection TestsAntigen Detection TestsBovine VirologyDiagnostic SensitivityImmunodiagnostic AssaysIndirect Enzyme-linked Immunosorbent AssayInfectious Bovine RhinotracheitisSensitivity
BACKGROUND: Bovine herpesvirus 1 (BoHV1) is a member of the viral subfamily of Alphaherpesvirinae that infects various species, including cattle, sheep, and goats. The virus causes infectious bovine rhinotracheitis (IBR), which is included in a European list of diseases that may require control and eradication programs. The lack of confirmatory tests affects the validity of diagnostic tools, especially those used for vaccinated herds. In this study, we report the development and validation of an indirect enzyme-linked immunosorbent assay (ELISA) based on BoHV1 glycoprotein E, which was expressed as a secreted recombinant antigen in a mammalian cell system. The performance of the new rec-gE ELISA was compared with that of commercially available indirect and/or blocking ELISAs. RESULTS: The sample set included blood sera from animals from IBR-positive farms, IBR-free farms, and marker-vaccinated farms. The indirect ELISA proposed in this study is based on antibody reactivity against BoHV1 gE, and showed high sensitivity and specificity (98.41 and 99.76 %, respectively). CONCLUSIONS: The ELISA performed well, in terms of both its diagnostic sensitivity and specificity, and as a confirmatory methodology, and therefore should improve the diagnostic protocols used for IBR surveillance.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
ROCR: visualizing classifier performance in R
Tobias Sing, Oliver Sander, Niko Beerenwinkel et al. · Computer applications in the biosciences · 2005 · 3.3K citations · Full text