Preprint
Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes [version 1; peer review: 1 approved]
Gates Open Research, Vol.6, pp.1-13
F1000 Research Ltd
2022
PMCID: PMC9816563
PMID: 36636741
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Abstract
The pantropic emergence of severe dengue disease can partly be attributed to the co-circulation of different dengue viruses (DENVs) in the same geographical location. Effective monitoring for circulation of each of the four DENVs is critical to inform disease mitigation strategies. In low resource settings, this can be effectively achieved by utilizing inexpensive, rapid, sensitive and specific assays to detect viruses in mosquito populations. In this study, we developed four rapid DENV tests with direct applicability for low-resource virus surveillance in mosquitoes. The test protocols utilize a novel sample preparation step, a single-temperature isothermal amplification, and a simple lateral flow detection. Analytical sensitivity testing demonstrated tests could detect down to 1,000 copies/µL of virus-specific DENV RNA, and analytical specificity testing indicated tests were highly specific for their respective virus, and did not detect closely related flaviviruses. All four DENV tests showed excellent diagnostic specificity and sensitivity when used for detection of both individually infected mosquitoes and infected mosquitoes in pools of uninfected mosquitoes. With individually infected mosquitoes, the rapid DENV-1,-2 and-3 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=8 for DENV-1; n=10 for DENV 2,3) and the DENV-4 test showed 92% diagnostic sensitivity (CI: 62% to 100%, n=12) along with 100% diagnostic specificity (CI: 48–100%) for all four tests. Testing infected mosquito pools, the rapid DENV-2,-3 and-4 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=10) and the Open Peer Review Approval Status AWAITING PEER REVIEW
Details
- Title
- Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes [version 1; peer review: 1 approved]
- Authors
- Madeeha Ahmed (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringNina Pollak (Author) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - LegacyLeon E Hugo (Author) - QIMR Berghofer Medical Research InstituteAndrew F van den Hurk (Author) - Queensland HealthJody Hobson-Peters (Author) - The University of QueenslandJoanne Macdonald (Author) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - Legacy
- Publication details
- Gates Open Research, Vol.6, pp.1-13
- Publisher
- F1000 Research Ltd
- Date published
- 2022
- DOI
- 10.12688/gatesopenres.13534.1
- ISSN
- 2572-4754
- PMID
- 36636741; PMC9816563
- Copyright note
- © 2022 Ahmed M et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99657598502621
- Output Type
- Preprint
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