Evidence map›Paper›PMID 31372218›Full record

ArticleClinical & translational immunology2019

Novel differential linear B-cell epitopes to identify Zika and dengue virus infections in patients.

Siti Naqiah Amrun, Wearn-Xin Yee, Farhana Abu Bakar, Bernett Lee, Yiu-Wing Kam, Fok-Moon Lum, Jeslin Jl Tan, Vanessa Wx Lim, Wanitda Watthanaworawit, Clare Ling and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Clinical & translational immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Linear and Continuous Flavivirus Epitopes From Naturally Infected Humans.Frontiers in cellular and infection microbiology · 2021
    Review
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Siti Naqiah AmrunSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Wearn-Xin YeeSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Farhana Abu BakarSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Bernett LeeSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Yiu-Wing KamSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Fok-Moon LumSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Jeslin Jl TanSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Vanessa Wx LimCommunicable Diseases Centre Institute of Infectious Diseases and Epidemiology Tan Tock Seng Hospital Singapore City Singapore.
Wanitda WatthanaworawitShoklo Malaria Research Unit Mahidol-Oxford Tropical Medicine Research Unit Faculty of Tropical Medicine Mahidol University Mae Sot Thailand.
Clare LingShoklo Malaria Research Unit Mahidol-Oxford Tropical Medicine Research Unit Faculty of Tropical Medicine Mahidol University Mae Sot Thailand.
Francois NostenShoklo Malaria Research Unit Mahidol-Oxford Tropical Medicine Research Unit Faculty of Tropical Medicine Mahidol University Mae Sot Thailand.
Laurent ReniaSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.
Yee-Sin LeoCommunicable Diseases Centre Institute of Infectious Diseases and Epidemiology Tan Tock Seng Hospital Singapore City Singapore.
Lisa Fp NgSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore City Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRecent Zika virus (ZIKV) outbreaks challenged existing laboratory diagnostic standards, especially for serology-based methods. Because of the genetic and structural similarity of ZIKV with other flaviviruses, this results in cross-reactive antibodies, which confounds serological interpretations.

methodsPlasma from Singapore ZIKV patients was screened longitudinally for antibody responses and neutralising capacities against ZIKV. Samples from healthy controls, ZIKV patients and DENV patients were further assessed using ZIKV and DENV peptides of precursor membrane (prM), envelope (E) or non-structural 1 (NS1) viral proteins in a peptide-based ELISA for epitope identification. Identified epitopes were re-validated and diagnostically evaluated using sera of patients with DENV, bacteria or unknown infections from Thailand.

resultsLong-lasting ZIKV-neutralising antibodies were elicited during ZIKV infection. Thirteen potential linear B-cell epitopes were identified, and of these, four common flavivirus, three ZIKV-specific and one DENV-specific differential epitopes had more than 50% sensitivity and specificity. Notably, ZIKV-specific peptide 26 on domain I/II of E protein (amino acid residues 271-288) presented 80% sensitivity and 85.7% specificity. Importantly, the differential epitopes also showed significance in differentiating non-flavivirus patient samples.

conclusionLinear B-cell epitope candidates to differentiate between ZIKV and DENV infections were identified, providing the first step towards the design of a much-needed serology-based assay.

Indexed as

diagnosticepitopesflaviviruspatients

Identifiers

PMID31372218
PMCPMC6659153

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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.