Evidence map›Paper›PMID 30842564›Full record

ArticleScientific reports2019

Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis.

Sören Hansen, Sven-Kevin Hotop, Oumar Faye, Oumar Ndiaye, Susanne Böhlken-Fascher, Rodrigo Pessôa, Frank Hufert, Christiane Stahl-Hennig, Ronald Frank, Claus-Peter Czerny and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

17 authors at 8 institutions in 3 countries.

Sören HansenDivision of Microbiology and Animal Hygiene, University of Goettingen, Goettingen, 37075, Germany.
Sven-Kevin HotopDepartment of Chemical Biology, Helmholtz-Zentrum für Infektionsforschung, Inhoffenstrasse 7, 38124, Braunschweig, Germany.
Oumar FayeInstitut Pasteur de Dakar, Dakar, Senegal.
Oumar NdiayeInstitut Pasteur de Dakar, Dakar, Senegal.
Susanne Böhlken-FascherDivision of Microbiology and Animal Hygiene, University of Goettingen, Goettingen, 37075, Germany.
Rodrigo PessôaLaboratory of Dermatology and Immunodeficiencies, LIM-56, Department of Dermatology, Tropical Medicine Institute of São Paulo, University of São Paulo, São Paulo, Brazil.
Frank HufertInstitute of Microbiology and Virology, Brandenburg Medical School Fontane, Senftenberg, Germany.
Christiane Stahl-HennigDeutsches Primatenzentrum GmbH, Leibniz-Institut für Primatenforschung, Unit of Infection Models, Göttingen, Germany.
Ronald FrankAIMS Scientific Products GmbH, Berlin, Germany.
Claus-Peter CzernyDivision of Microbiology and Animal Hygiene, University of Goettingen, Goettingen, 37075, Germany.
Jonas Schmidt-ChanasitBernhard Nocht Institute for Tropical Medicine, WHO Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany.
Sabri S SanabaniLaboratory of Dermatology and Immunodeficiencies, LIM-56, Department of Dermatology, Tropical Medicine Institute of São Paulo, University of São Paulo, São Paulo, Brazil.
Amadou A SallInstitut Pasteur de Dakar, Dakar, Senegal.
Matthias NiedrigRobert Koch Institut, Nordufer 20, 13353, Berlin, Germany.
Mark BrönstrupDepartment of Chemical Biology, Helmholtz-Zentrum für Infektionsforschung, Inhoffenstrasse 7, 38124, Braunschweig, Germany.ORCID 0000-0002-8971-7045
Hans-Joachim FritzAkademie der Wissenschaften zu Göttingen, Theaterstraße 7, 37073, Göttingen, Germany.
Ahmed Abd El WahedDivision of Microbiology and Animal Hygiene, University of Goettingen, Goettingen, 37075, Germany. abdelwahed@gwdg.de.
University of Göttingen · DEGerman Center for Infection Research · DEInstitut Pasteur de Dakar · SNUniversidade de São Paulo · BRGerman Primate Center · DEGöttingen Academy of Sciences and Humanities · DEMedizinische Hochschule Brandenburg Theodor Fontane · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zika virus (ZIKV) is a mosquito-borne flavivirus. Homologous proteins of different flaviviruses display high degrees of sequence identity, especially within subgroups. This leads to extensive immunological cross-reactivity and corresponding problems for developing a ZIKV-specific serological assay. In this study, peptide microarrays were employed to identify individual ZIKV antibody targets with promise in differential diagnosis. A total of 1643 overlapping oligopeptides were synthesized and printed onto glass slides. Together, they encompass the full amino acid sequences of ZIKV proteomes of African, Brazilian, USA, and French Polynesian origins. The resulting ZIKV scanning microarray chips were used to screen three pools of sera from recent Zika outbreaks in Senegal and Cape Verde, in Brazil, and from overseas travelers returning to the EU. Together with a mixed pool of well characterized, archived sera of patients suffering from infections by dengue, yellow fever, tick-borne encephalitis, and West Nile viruses, a total of 42 sera went into the study. Sixty-eight antibody target regions were identified. Most of which were hitherto unknown. Alignments and sequence comparisons revealed 13 of which could be classified as bona fide ZIKV-specific. These identified antibody target regions constitute a founding set of analytical tools for serological discrimination of ZIKV from other flaviviruses.

Indexed as

Antibodies, ViralAntigens, ViralBrazilCabo VerdeCross ReactionsDiagnosis, DifferentialDisease OutbreaksFlavivirusHumansPeptidesProtein Array AnalysisSenegalSpecies SpecificityZika VirusZika Virus InfectionAntibodies, ViralAntigens, ViralPeptides

Identifiers

PMID30842564
PMCPMC6403343
OpenAlexW2919690764

What OpenQuestion holds

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LicenceCC BY
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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.