Evidence map›Paper›PMID 28740150›Full record

ArticleScientific reports2017

Identification of putative unique immunogenic ZIKV and DENV1-4 peptides for diagnostic cellular based tests.

Aaron L Oom, Davey Smith, Kevan Akrami

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Challenges for molecular and serological ZIKV infection confirmation.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018
    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

3 authors at 1 institution in 1 country.

Aaron L OomUniversity of California, San Diego, Department of Infectious Disease, 9500 Gilman Drive #0711, La Jolla, CA, 92093-0711, USA.
Davey SmithUniversity of California, San Diego, Department of Infectious Disease, 9500 Gilman Drive #0711, La Jolla, CA, 92093-0711, USA.
Kevan AkramiUniversity of California, San Diego, Department of Infectious Disease, 9500 Gilman Drive #0711, La Jolla, CA, 92093-0711, USA. kakrami@ucsd.edu.
University of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the re-emergence of Zika virus in 2014 and subsequent association with microcephaly, much work has focused on the development of a vaccine to halt its spread throughout the world. The mosquito vector that transmits this virus is widespread and responsible for the spread of other arboviridae including Dengue. Current diagnostic methods rely on serologic testing that are complicated by cross reactivity and therefore unable to distinguish Zika from Dengue infection in the absence of virus isolation. We performed an in silico analysis to identify potential epitopes that may stimulate a unique T-lymphocyte response to distinguish prior infection with Zika or Dengue. From this analysis, we not only identified epitopes unique to Zika and Dengue, but also identified epitopes unique to each Dengue serotype. These peptides contribute to a pool of peptides identified for vaccine development that can be tested in vitro to confirm immunogenicity, absence of homology and global population coverage. The current lack of accurate diagnostic testing hampers our ability to understand the scope of the epidemic, implications for vaccine implementation and complications related to monoinfection and co-infection with these two closely related viruses.

Indexed as

DengueDengue VirusEpitopesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansPeptide FragmentsSerologic TestsViral Nonstructural ProteinsZika VirusZika Virus InfectionEpitopesHistocompatibility Antigens Class IHistocompatibility Antigens Class IINS1 protein, Dengue virus type 2NS1 protein, zika virusPeptide FragmentsViral Nonstructural Proteins

Identifiers

PMID28740150
PMCPMC5524841
OpenAlexW2738468401

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.