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DOI 10.1016/j.jviromet.2018.09.002

Медицинская библиотека · Journal of virological methods · 2018

Preliminary evaluation of diagnostic accuracy and precision of a competitive ELISA for detection of antibodies to Rift Valley fever virus in cattle and sheep sera.

Upreti Deepa, Cernicchiaro Natalia, Richt Juergen A, Wilson William C, Clavijo Alfonso, Davis A Sally

Оценочное исследованиеСтатьяПоддержка правительства СШАПеревод в очереди

Аннотация

Rift Valley fever virus (RVFV), a mosquito-borne, zoonotic pathogen, is endemic to sub-Saharan Africa and has spread beyond the continent to the Arabian Peninsula. The high likelihood of RVFV's spread to other non-endemic countries spurs the need for development and implementation of rapid diagnostic tests and surveillance programs. In this preliminary evaluation, we assessed the diagnostic accuracy and precision of a recombinant RVFV nucleoprotein based competitive ELISA (cELISA) assay to detect RVFV antibodies compared to a plaque reduction neutralization test (PRNT80), using sera of cattle and sheep that were experimentally infected with either the MP-12 RVFV vaccine or a wild-type RVFV strain, as well as using known RVFV negative sera. With the manufacturer recommended 60% inhibition for the cELISA and a 1:40 titer for the PRNT80, the sensitivity and specificity of the cELISA assay was determined to be 95.1% (95% CI = 83.5-99.4%) and 91.8% (95% CI = 85.0-96.2%), respectively. Antibodies to RVFV were first detected at 5 days post inoculation (dpi) in both species' sera. The prototype cELISA is an easy to implement, sensitive, specific, and safe test for the detection of antibodies to RVFV that can be used in surveillance programs.

Для цитирования: Upreti Deepa, Cernicchiaro Natalia, Richt Juergen A, Wilson William C, Clavijo Alfonso, Davis A Sally. Preliminary evaluation of diagnostic accuracy and precision of a competitive ELISA for detection of antibodies to Rift Valley fever virus in cattle and sheep sera.. Journal of virological methods. 2018. DOI: 10.1016/j.jviromet.2018.09.002.

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