Evidence map›Paper›PMID 32681135›Full record

ArticleScientific reports2020

An antibody panel for highly specific detection and differentiation of Zika virus.

Md Alamgir Kabir, Ruben Soto-Acosta, Sandhya Sharma, Shelton S Bradrick, Mariano A Garcia-Blanco, Massimo Caputi, Waseem Asghar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Diagnosis for COVID-19: current status and future prospects.Expert review of molecular diagnostics · 2021
    Review
  6. 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

7 authors at 4 institutions in 2 countries.

Md Alamgir KabirDepartment of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.ORCID http://orcid.org/0000-0002-1659-3125
Ruben Soto-AcostaDepartment of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Sandhya SharmaDepartment of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Shelton S BradrickDepartment of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Mariano A Garcia-BlancoDepartment of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Massimo CaputiDepartment of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA. mcaputi@health.fau.edu.
Waseem AsgharDepartment of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA. wasghar@fau.edu.
Florida Atlantic University · USDuke-NUS Medical School · SGThe University of Texas Medical Branch at Galveston · USUniversity of Minnesota · US

Funding

Development of disposable and refrigeration-free microchip technology for CD4+ T cell counting at point-of-care settingsR15AI127214 · NIAID · FLORIDA ATLANTIC UNIVERSITY · PI ASGHAR, WASEEM · 2016 to 2016
$460k
NIAID NIH HHS R15 AI127214
6 · The paper itself

Abstract

Zika virus (ZIKV) is an emerging flavivirus transmitted to humans by Aedes mosquitos. ZIKV can be transmitted from mother to fetus during pregnancy and can cause microcephaly and other birth defects. Effective vaccines for Zika are yet to be approved. Detection of the ZIKV is based on serological testing that often shows cross-reactivity with the Dengue virus (DENV) and other flaviviruses. We aimed to assemble a highly specific anti-Zika antibody panel to be utilized in the development of a highly specific and cost-effective ZIKV rapid quantification assay for viral load monitoring at point-of-care settings. To this end, we tested the affinity and specificity of twenty one commercially available monoclonal and polyclonal antibodies against ZIKV and DENV envelope proteins utilizing nine ZIKV and twelve DENV strains. We finalized and tested a panel of five antibodies for the specific detection and differentiation of ZIKV and DENV infected samples.

Indexed as

AnimalsAntibodies, ViralAntibody SpecificityChlorocebus aethiopsCross ReactionsDengue VirusLimit of DetectionMiceRabbitsReproducibility of ResultsSensitivity and SpecificityVero CellsViral Envelope ProteinsZika VirusAntibodies, ViralViral Envelope Proteins

Identifiers

PMID32681135
PMCPMC7367842
OpenAlexW3043308742

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.