Evidence map›Paper›PMID 31700029›Full record

ArticleScientific reports2019

Tracking the polyclonal neutralizing antibody response to a dengue virus serotype 1 type-specific epitope across two populations in Asia and the Americas.

Daniela V Andrade, Colin Warnes, Ellen Young, Leah C Katzelnick, Angel Balmaseda, Aravinda M de Silva, Ralph S Baric, Eva Harris

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Antibody reactive immunomes ofFrontiers in cellular and infection microbiology · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. NPJ vaccines · 2020
    Article
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

8 authors at 3 institutions in 1 country.

Daniela V AndradeDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Colin WarnesDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Ellen YoungDepartment of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, CA, USA.
Leah C KatzelnickDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Angel BalmasedaNational Virology Laboratory, National Center for Diagnosis and Reference, Ministry of Health, Managua, Nicaragua.
Aravinda M de SilvaDepartment of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Ralph S BaricDepartment of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, CA, USA.
Eva HarrisDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA. eharris@berkeley.edu.ORCID http://orcid.org/0000-0002-7238-4037
University of California, Berkeley · USUniversity of North Carolina at Chapel Hill · USBerkeley Public Health Division · US

Funding

T Cell Responses Following DENV Natural Infections and Live-Attenuated Dengue Virus VaccinationP01AI106695 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Aravinda M. DeSilva · 2015 to 2026
$34.1M
PRECLINICAL ASSAYS TO PREDICT TETRAVALENT DENGUE VACCINE EFFICACYR01AI125198 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESILVA, ARAVINDA M. · 2016 to 2020
$5.7M
Molecular Basis of Flavivirus Cross-Neutralization by Human AntibodiesR01AI107731 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESILVA, ARAVINDA M. · 2013 to 2022
$5.3M
NIAID NIH HHS P01 AI106695NIAID NIH HHS R01 AI107731NIAID NIH HHS R01 AI125198
6 · The paper itself

Abstract

The four dengue virus serotypes (DENV1-4) cause major public health problems worldwide. Highly neutralizing type-specific human monoclonal antibodies (hmAbs) target conformation-dependent epitopes on the DENV envelope protein, including 1F4, a DENV1 type-specific hmAb. Using a recombinant DENV2 virus displaying the DENV1 1F4 epitope (rDENV2/1), we measured the proportion and kinetics of DENV1 neutralizing antibodies targeting the 1F4 epitope in individuals living in Asia and the Americas where different DENV1 genotypes were circulating. Samples from 20 individuals were analyzed 3 and 18 months post-primary DENV1 infection, alongside samples from 4 individuals collected annually for four years post-primary DENV1 infection, from two studies in Nicaragua. We also analyzed convalescent post-primary DENV1 plasma samples from Sri Lankan individuals. We found that neutralizing antibodies recognizing the 1F4 epitope vary in prevalence across both populations and were detected from 20 days to four years post-infection. Additionally, both populations displayed substantial variability, with a range of high to low proportions of DENV1 type-specific neutralizing antibodies recognizing the 1F4 epitope seen across individuals. Thus, the 1F4 epitope is a major but not exclusive target of type-specific neutralizing antibodies post-primary infection with different DENV1 genotypes in Asia and Latin America, and additional epitopes likely contribute to type-specific neutralization of DENV1.

Indexed as

AdolescentAmericasAntibodies, NeutralizingAntibodies, ViralAsiaChildChild, PreschoolCross ReactionsDengueDengue VirusEpitopesFemaleHumansInfantMaleModels, MolecularAntibodies, NeutralizingAntibodies, ViralEpitopes

Identifiers

PMID31700029
PMCPMC6838341
OpenAlexW2987002422

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.