Evidence map›Paper›PMID 29258444›Full record

ArticleBMC infectious diseases2017

Evaluation of a field-deployable reverse transcription-insulated isothermal PCR for rapid and sensitive on-site detection of Zika virus.

Mariano Carossino, Yanqiu Li, Pei-Yu A Lee, Chuan-Fu Tsai, Pin-Hsing Chou, Dennis Williams, Ashley Skillman, R Frank Cook, Grayson Brown, Hsiao-Fen G Chang and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. Oropouche orthobunyavirus infection is mediated by the cellular host factor Lrp1.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Mariano CarossinoMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA.
Yanqiu LiMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA.
Pei-Yu A LeeGeneReach USA, Lexington, MA, USA.
Chuan-Fu TsaiGeneReach USA, Lexington, MA, USA.
Pin-Hsing ChouGeneReach USA, Lexington, MA, USA.
Dennis WilliamsUniversity of Kentucky Medical Center, Chandler Hospital, Kentucky Blood Center, University of Kentucky, Lexington, KY, USA.
Ashley SkillmanMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA.
R Frank CookMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA.
Grayson BrownDepartment of Entomology, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA.
Hsiao-Fen G ChangGeneReach USA, Lexington, MA, USA.
Hwa-Tang T WangGeneReach USA, Lexington, MA, USA.
Udeni B R BalasuriyaMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA. ubalasuriya@uky.edu.
University of Kentucky · USGenex Systems (United States) · US

Funding

College of Agriculture, Food and Environment 1013172620Maxwell H. Gluck Equine Research Center (GERC), Department of Veterinary Science 1215389410
6 · The paper itself

Abstract

backgroundThe recent emergence of Zika virus (ZIKV) in Brazil and its precipitous expansion throughout the Americas has highlighted the urgent need for a rapid and reliable on-site diagnostic assay suitable for viral detection. Such point-of-need (PON), low-cost diagnostics are essential for ZIKV control in vulnerable areas with limited resources.

methodsWe developed and evaluated a ZIKV-specific field-deployable RT-iiPCR reagent set targeting the E gene for rapid detection of ZIKV in ZIKV-spiked human and mosquito specimens, and compared its performance to the Center for Disease Control and Prevention (CDC) and Pan American Health Organization (PAHO) RT-qPCR assays targeting the E and NS2B genes, respectively.

resultsThese assays demonstrated exclusive specificity for ZIKV (African and Asian lineages), had limits of detection ranging from 10 to 100 in vitro transcribed RNA copies/μl and detection endpoints at 10 plaque forming units/ml of infectious tissue culture fluid. Analysis of human whole blood, plasma, serum, semen, urine, and mosquito pool samples spiked with ZIKV showed an agreement of 90% (k = 0.80), 92% (k = 0.82), 95% (k = 0.86), 92% (k = 0.81), 90% (k = 0.79), and 100% (k = 1), respectively, between the RT-iiPCR assay and composite results from the reference RT-qPCR assays. Overall, the concurrence between the ZIKV RT-iiPCR and the reference RT-qPCR assays was 92% (k = 0.83).

conclusionsThe ZIKV RT-iiPCR has a performance comparable to the reference CDC and PAHO RT-qPCR assays but provides much faster results (~1.5 h) with a field-deployable system that can be utilized as a PON diagnostic with the potential to significantly improve the quality of the health care system in vulnerable areas.

Indexed as

AnimalsCulicidaeHumansPoint-of-Care SystemsReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityZika VirusZika Virus InfectionRNA, ViraliiPCRInsulated isothermal PCRPOCKITPoint-of-need assayZika virus

Identifiers

PMID29258444
PMCPMC5735522
OpenAlexW2780685964

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.