Evidence map›Paper›PMID 27994281›Full record

ArticleBulletin of the World Health Organization2016

Assay optimization for molecular detection of Zika virus.

Victor M Corman, Andrea Rasche, Cecile Baronti, Souhaib Aldabbagh, Daniel Cadar, Chantal Bem Reusken, Suzan D Pas, Abraham Goorhuis, Janke Schinkel, Richard Molenkamp and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
22.4field-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

96 citing papers in PubMed, 164 citations in OpenAlex.

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  8. Excellent capability for molecular detection ofJournal of clinical microbiology · 2025
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36 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

21 authors at 5 institutions in 2 countries.

Victor M CormanInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Andrea RascheInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Cecile BarontiUMR EPV Emergence des Pathologies Virales, Aix Marseille Université, Marseille, France .
Souhaib AldabbaghInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Daniel CadarBernhard Nocht Institute for Tropical Medicine, WHO Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany .
Chantal Bem ReuskenErasmus MC, Department of Viroscience, Rotterdam, Netherlands .
Suzan D PasErasmus MC, Department of Viroscience, Rotterdam, Netherlands .
Abraham GoorhuisDepartment of Infectious Diseases, University of Amsterdam, Amsterdam, Netherlands .
Janke SchinkelClinical Virology Laboratory, University of Amsterdam, Amsterdam, Netherlands .
Richard MolenkampClinical Virology Laboratory, University of Amsterdam, Amsterdam, Netherlands .
Beate M KümmererInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Tobias BleickerInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Sebastian BrüninkInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Monika Eschbach-BludauInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Anna M Eis-HübingerInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Marion P KoopmansErasmus MC, Department of Viroscience, Rotterdam, Netherlands .
Jonas Schmidt-ChanasitBernhard Nocht Institute for Tropical Medicine, WHO Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany .
Martin P GrobuschDepartment of Infectious Diseases, University of Amsterdam, Amsterdam, Netherlands .
Xavier de LamballerieUMR EPV Emergence des Pathologies Virales, Aix Marseille Université, Marseille, France .
Christian DrostenInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
Jan Felix DrexlerInstitute of Virology, University of Bonn Medical Centre, Sigmund Freud-Str. 25, 53127 Bonn, Germany .
University of Bonn · DEErasmus MC · NLUniversity of Amsterdam · NLBernhard Nocht Institute for Tropical Medicine · DEErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the diagnostic performance of real-time reverse transcription (RT)-polymerase chain reaction (PCR) assays for Zika virus detection.

methodsWe compared seven published real-time RT-PCR assays and two new assays that we have developed. To determine the analytical sensitivity of each assay, we constructed a synthetic universal control ribonucleic acid (uncRNA) containing all of the assays' target regions on one RNA strand and spiked human blood or urine with known quantities of African or Asian Zika virus strains. Viral loads in 33 samples from Zika virus-infected patients were determined by using one of the new assays.

findingsOligonucleotides of the published real-time RT-PCR assays, showed up to 10 potential mismatches with the Asian lineage causing the current outbreak, compared with 0 to 4 mismatches for the new assays. The 95% lower detection limit of the seven most sensitive assays ranged from 2.1 to 12.1 uncRNA copies/reaction. Two assays had lower sensitivities of 17.0 and 1373.3 uncRNA copies/reaction and showed a similar sensitivity when using spiked samples. The mean viral loads in samples from Zika virus-infected patients were 5 × 10

conclusionWe provide reagents and updated protocols for Zika virus detection suitable for the current outbreak strains. Some published assays might be unsuitable for Zika virus detection, due to the limited sensitivity and potential incompatibility with some strains. Viral concentrations in the clinical samples were close to the technical detection limit, suggesting that the use of insensitive assays will cause false-negative results.

Indexed as

HumansReal-Time Polymerase Chain ReactionSensitivity and SpecificityZika Virus Infection

Identifiers

PMID27994281
PMCPMC5153932
OpenAlexW2559123425

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.