Evidence map›Paper›PMID 23638191›Full record

ArticlePLoS neglected tropical diseases2013

Single-reaction, multiplex, real-time rt-PCR for the detection, quantitation, and serotyping of dengue viruses.

Jesse J Waggoner, Janaki Abeynayake, Malaya K Sahoo, Lionel Gresh, Yolanda Tellez, Karla Gonzalez, Gabriela Ballesteros, Anna M Pierro, Paolo Gaibani, Frances P Guo and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
13.0field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 143 citations in OpenAlex.

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  17. Obesity Is Associated With Increased Pediatric Dengue Virus Infection and Disease: A 9-Year Cohort Study in Managua, Nicaragua.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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19 more citing papers are in PubMed but not listed here.

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

15 authors at 5 institutions in 3 countries.

Jesse J WaggonerDepartment of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Janaki Abeynayake
Malaya K Sahoo
Lionel Gresh
Yolanda Tellez
Karla Gonzalez
Gabriela Ballesteros
Anna M Pierro
Paolo Gaibani
Frances P Guo
Vittorio Sambri
Angel Balmaseda
Kumudu Karunaratne
Eva Harris
Benjamin A Pinsky
Stanford University · USPoliclinico S.Orsola-Malpighi · ITLady Ridgeway Hospital for Children · LKSustainable Sciences Institute · USUniversity of California, Berkeley · US

Funding

Stanford Global Health Consortium: Innovation, Design, Evaluation, and ActionRC4TW008781 · FIC · STANFORD UNIVERSITY · PI BARRY, MICHELE · 2010 to 2010
$8.1M
EMERGING INFECTIOUS DISEASEST32AI007502 · NIAID · STANFORD UNIVERSITY · PI Prasanna Jagannathan, DAVID A. RELMAN · 1995 to 2026
$6.8M
Epidemiological, Clinical & Immunological Studies of Zika, dengue and chikungunyaR01AI099631 · NIAID · SUSTAINABLE SCIENCES INSTITUTE · PI BALMASEDA, ANGEL LAZARO · 2012 to 2021
$1.8M
CCR NIH HHS 1 RC4 TW008781-01FIC NIH HHS RC4 TW008781NIAID NIH HHS R01 AI099631NIAID NIH HHS T32 AI007502
6 · The paper itself

Abstract

backgroundDengue fever results from infection with one or more of four different serotypes of dengue virus (DENV). Despite the widespread nature of this infection, available molecular diagnostics have significant limitations. The aim of this study was to develop a multiplex, real-time, reverse transcriptase-PCR (rRT-PCR) for the detection, quantitation, and serotyping of dengue viruses in a single reaction. METHODOLOGY/PRINCIPAL

findingsAn rRT-PCR assay targeting the 5' untranslated region and capsid gene of the DENV genome was designed using molecular beacons to provide serotype specificity. Using reference DENV strains, the assay was linear from 7.0 to 1.0 log₁₀ cDNA equivalents/µL for each serotype. The lower limit of detection using genomic RNA was 0.3, 13.8, 0.8, and 12.4 cDNA equivalents/µL for serotypes 1-4, respectively, which was 6- to 275-fold more analytically sensitive than a widely used hemi-nested RT-PCR. Using samples from Nicaragua collected within the first five days of illness, the multiplex rRT-PCR was positive in 100% (69/69) of specimens that were positive by the hemi-nested assay, with full serotype agreement. Furthermore, the multiplex rRT-PCR detected DENV RNA in 97.2% (35/36) of specimens from Sri Lanka positive for anti-DENV IgM antibodies compared to just 44.4% (16/36) by the hemi-nested RT-PCR. No amplification was observed in 80 clinical samples sent for routine quantitative hepatitis C virus testing or when genomic RNA from other flaviviruses was tested. CONCLUSIONS/SIGNIFICANCE: This single-reaction, quantitative, multiplex rRT-PCR for DENV serotyping demonstrates superior analytical and clinical performance, as well as simpler workflow compared to the hemi-nested RT-PCR reference. In particular, this multiplex rRT-PCR detects viral RNA and provides serotype information in specimens collected more than five days after fever onset and from patients who had already developed anti-DENV IgM antibodies. The implementation of this assay in dengue-endemic areas has the potential to improve both dengue diagnosis and epidemiologic surveillance.

Indexed as

Antibodies, ViralDengue VirusFemaleHumansMaleMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, ViralSerotypingAntibodies, ViralRNA, Viral

Identifiers

PMID23638191
PMCPMC3630127
OpenAlexW2008597300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.