Evidence map›Paper›PMID 39730005›Full record

ArticleThe Lancet. Microbe2025

Multiplex sample-sparing assay for detecting type-specific antibodies to Zika and dengue viruses: an assay development and validation study.

Lindsay Dahora Hein, Izabella N Castillo, Freddy A Medina, Frances Vila, Bruno Segovia-Chumbez, Jorge L Muñoz-Jordán, Stephen S Whitehead, Laura E Adams, Gabriela Paz-Bailey, Aravinda M de Silva and 1 more

Abstract readValidation Study
In one paragraph

Article in The Lancet. Microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Application of Orthoflavivirus Pseudovirus Technology in Antiviral Research.International journal of molecular sciences · 2026
    Review
  10. Article
  11. Article
  12. Chikungunya virus-specific CD4Cell reports. Medicine · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. 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

11 authors.

Lindsay Dahora HeinDepartment of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Izabella N CastilloDepartment of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Freddy A MedinaDengue Branch, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Frances VilaDengue Branch, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Bruno Segovia-ChumbezDepartment of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Jorge L Muñoz-JordánDengue Branch, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Stephen S WhiteheadLaboratory of Viral Diseases, NIAID, National Institutes of Health, Bethesda, MD, USA.
Laura E AdamsDengue Branch, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Gabriela Paz-BaileyDengue Branch, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Aravinda M de SilvaDepartment of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA. Electronic address: aravinda_desilva@med.unc.edu.
Lakshmanane PremkumarDepartment of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA. Electronic address: prem@med.unc.edu.

Funding

T Cell Responses Following DENV Natural Infections and Live-Attenuated Dengue Virus VaccinationP01AI106695 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Daniela Weiskopf · 2015 to 2026
$34.1M
American Asian Centers for Arbovirus Research and Enhanced Surveillance (A2CARES)U01AI151788 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Josefina Coloma, Eva Harris · 2020 to 2026
$9.6M
Multiplex serological assays to support arbovirus diagnosis, surveillance and vaccinesU24AI152170 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESILVA, ARAVINDA M., LAKSHMANANE, PREMKUMAR · 2020 to 2024
$2.1M
NIAID NIH HHS P01 AI106695NIAID NIH HHS U01 AI151788NIAID NIH HHS U24 AI152170
6 · The paper itself

Abstract

backgroundSerology for dengue viruses (DENV) and Zika virus (ZIKV) has been hindered by antibody cross-reactivity, which limits the utility of these tests for surveillance and assessment of sero-status. Our aim was to develop a multiplexed IgG-based assay with increased accuracy to assess the history of previous DENV and ZIKV infections.

methodsWe developed and assessed the analytical performance of a sample-sparing, multiplexed, microsphere-based serological assay using domain III of the envelope protein (EDIII) of DENV serotypes 1-4 and ZIKV, the most variable region between each virus. We used a reference panel of well-characterised serum samples from US-based travellers or residents of southeast Asia, central America, or Puerto Rico, who were naive or immune to either or both DENV and ZIKV, to develop an algorithm for detecting previous exposure to DENV and ZIKV and identify optimal positivity cutoffs to maximise assay performance. To independently confirm the performance of the assay and algorithm, we used a second test set of previously collected samples from healthy children (aged 9-16 years) living in Puerto Rico, whose DENV and ZIKV serostatus had been defined using the gold-standard virus neutralisation assay. We evaluated the performance of the multiplex assay compared with the gold-standard assay by estimating sensitivity and specificity for identification of past exposure to ZIKV and DENV.

findingsThe multiplexed EDIII assay showed reproducible results over different days and a linearity range from μg to pg levels for various EDIII antigens. Using a reference panel of serum samples from individuals who were DENV naive (n=136), DENV immune (n=38), ZIKV naive (n=67), and ZIKV immune (n=28), we optimised the assay and developed a testing algorithm that was 94·9% (95% CI 83·1-99·1) sensitive and 97·1% (92·7-98·9) specific for identifying previous exposure to DENV, and 100% (95% CI 88·0-100) sensitive and 97·0% (89·8-99·5) specific for identifying previous exposure to ZIKV. In an analysis with an independent test set of 389 samples, the assay and algorithm had 94·2% (89·9-97·1) sensitivity and 92·9% (87·3-96·5) specificity for DENV, and 94·1% (88·7-97·4) sensitivity and 95·0% (90·0-98·0) specificity for ZIKV.

interpretationThe multiplexed EDIII serology assay can accurately identify the history of previous infection with either DENV or ZIKV. This high-throughput and sample-sparing assay is a promising new tool for supporting flavivirus surveillance, epidemiological and clinical studies, and serological testing for dengue vaccine eligibility. Further studies are needed to reduce the cost of the assay, eliminate high background in some samples, and to assess performance in DENV-endemic and ZIKV-endemic countries.

fundingUS National Institutes of Health.

Indexed as

Antibodies, ViralDengueDengue VirusSerologic TestsZika VirusZika Virus InfectionAdolescentAlgorithmsChildCross ReactionsFemaleHumansImmunoglobulin GMalePuerto RicoSensitivity and SpecificityAntibodies, ViralImmunoglobulin GViral Envelope Proteins

Identifiers

PMID39730005
PMCPMC12244352

What OpenQuestion holds

Textmetadata
LicenceTDM
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.