1. Development and evaluation of a RT-qPCR assay for fast and sensitive rabies diagnosis.
- Author
-
Dedkov VG, Deviatkin AA, Poleshchuk ЕМ, Safonova MV, Blinova EA, Shchelkanov MY, Sidorov GN, Simonova EG, and Shipulin GA
- Subjects
- Animals, Base Sequence, Cats, Chiroptera, Dogs, Humans, Mice, Rabies virus classification, Rabies virus isolation & purification, Russia, Sensitivity and Specificity, DNA, Viral genetics, Molecular Diagnostic Techniques methods, Nucleoproteins genetics, RNA, Viral genetics, Rabies diagnosis, Rabies virus genetics, Real-Time Polymerase Chain Reaction methods
- Abstract
Rabies virus is endemic to Russia, among other countries. It is therefore critical to develop a high-quality and high-precision diagnostic procedure for the control and prevention of infection. The main objective of the research presented here was to develop a reliable RT-qPCR assay for rabies diagnostics. For this purpose, a RABV strains from various biological and geographical origins were used. In addition, rabies-positive and rabies-negative samples, as well as nucleic acids from other viruses and DNA extracted from the brain tissues of mice, dogs, cats, bats and humans, were studied using the developed assay. The analytical sensitivity of the assay, as assessed using armored recombinant positive control dilutions, was 10
3 copies/ml, and the sensitivity measured using characterized strains was between 0.1 LD50/ml and 1.0 LD50/ml. A broad range of RNA from RABV strains circulating in different regions of Russia, as well as RNA from RABV-positive primary brain samples from 81 animals and two humans, was detected using the developed assay. No false-positive or false-negative results were obtained. Given that high analytical and diagnostic sensitivities and a high specificity were verified for this assay, it has high potential as a screening test that may be suitable for the epizootiological monitoring of animals and for the fast postmortem diagnosis of rabies., (Copyright © 2017 Elsevier Inc. All rights reserved.)- Published
- 2018
- Full Text
- View/download PDF