Evidence map›Paper›PMID 31374094›Full record

ArticlePloS one2019

Modulated Zika virus NS1 conjugate offers advantages for accurate detection of Zika virus specific antibody in double antigen binding and Ig capture enzyme immunoassays.

Richard S Tedder, Steve Dicks, Samreen Ijaz, Nathalia Caroline Santiago de Souza, Anderson Vincente de Paula, Flavia Levy, Raquel Medialdea-Carrera, José Eduardo Levi, Claudio S Pannuti, Patrícia Carvalho de Sequeira and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 5 institutions in 2 countries.

Richard S TedderBlood Borne Virus Unit, Virus Reference Department, Public Health England, London, England.
Steve DicksBlood Borne Virus Unit, Virus Reference Department, Public Health England, London, England.
Samreen IjazBlood Borne Virus Unit, Virus Reference Department, Public Health England, London, England.ORCID 0000-0001-6658-3542
Nathalia Caroline Santiago de SouzaVirology Laboratory (LIM-HCFMUSP), Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Anderson Vincente de PaulaVirology Laboratory (LIM-HCFMUSP), Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Flavia LevyFlavivirus Reference Laboratory, IOC, Fiocruz, Rio de Janeiro, Brazil.
Raquel Medialdea-CarreraNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, England.
José Eduardo LeviVirology Laboratory (LIM-HCFMUSP), Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Claudio S PannutiVirology Laboratory (LIM-HCFMUSP), Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Patrícia Carvalho de SequeiraFlavivirus Reference Laboratory, IOC, Fiocruz, Rio de Janeiro, Brazil.
David W G BrownBlood Borne Virus Unit, Virus Reference Department, Public Health England, London, England.
Ines Ushiro LumbBlood Borne Virus Unit, Virus Reference Department, Public Health England, London, England.
Universidade de São Paulo · BRNHS Blood and Transplant · GBFundação Oswaldo Cruz · BRPublic Health England · GBUniversity of Liverpool · GB

Funding

Medical Research Council MC_PC_15093
6 · The paper itself

Abstract

The accurate diagnosis and seroprevalence investigations of Zika virus (ZKV) infections remain complex due to cross reactivity with other flaviviruses. Two assay formats, both using labelled Zika virus NS1 antigen as a revealing agent (a double antigen binding assay, DABA, and an immunoglobulin Ig capture assay, G capture) were initially developed and compared with the indirect EuroimmunZ assay for the detection of anti-Zika antibody. Of 147 pre-Zika period serum samples, 39 (27%) were reactive in the EuroimmunZ or the DABA assays, 28 sera concordantly so. Such false reactivity was influenced by the serotype of Dengue virus (DV) to which individuals had been exposed to. Thus, of sera from patients undergoing secondary Dengue virus infection of known serotype, 91%, 45% and 28% of Dengue virus serotype 2, 3 and 4 respectively were reactive in one or more of the three assays. A novel method of quenching false sero-reactivity was therefore developed for the DABA and G capture assays. Initial addition of a single homologous Dengue virus serotype 3 NS1Ag quench significantly ablated false reactivities in the pre-Zika period sera. An equipotent quadrivalent quench comprising homologous Dengue virus serotypes 1 to 4 NS1Ag was shown to be optimum yet retained sensitivity for the detection of specific anti-Zika antibody. Comparing DABA and G capture assays using quenched and unquenched conjugates in comparison with EuroimmunZ early in the course of PCR-confirmed infection indicated that a significant component of the apparent early anti-ZIKA antibody response is likely to be due to a Zika virus-driven anamnestic anti-Dengue virus response. The increased specificity provided by homologous antigen quenching is likely to provide a significant improvement in sero-diagnostics and to be of clinical value.

Indexed as

Antibody SpecificityAntibodies, ViralAntigens, ViralBiosensing TechniquesCross ReactionsHumansImmunoglobulinsLimit of DetectionViral Nonstructural ProteinsZika VirusAntibodies, ViralAntigens, ViralImmunoglobulinsNS1 protein, zika virusViral Nonstructural Proteins

Identifiers

PMID31374094
PMCPMC6677316
OpenAlexW2965215986

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.