Evidence map›Paper›PMID 37774093›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Maternally derived antibody titer dynamics and risk of hospitalized infant dengue disease.

Megan O'Driscoll, Darunee Buddhari, Angkana T Huang, Adam Waickman, Surachai Kaewhirun, Sopon Iamsirithaworn, Direk Khampaen, Aaron Farmer, Stefan Fernandez, Isabel Rodriguez-Barraquer and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  14. Review
  15. Reconciling heterogeneous dengue virus infection risk estimates from different study designs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Article
  18. The role of antibody-dependent enhancement in dengue vaccination.Tropical diseases, travel medicine and vaccines · 2024
    Article
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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

17 authors at 8 institutions in 3 countries.

Megan O'DriscollDepartment of Genetics, University of Cambridge, Cambridge CB23EH, United Kingdom.ORCID 0000-0002-7972-5703
Darunee BuddhariDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok 10400, Thailand.
Angkana T HuangDepartment of Genetics, University of Cambridge, Cambridge CB23EH, United Kingdom.ORCID 0000-0002-9857-3506
Adam WaickmanDepartment of Microbiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY 13210.
Surachai KaewhirunDepartment of Disease Control, Ministry of Public Health, Nonthaburi 11000, Thailand.
Sopon IamsirithawornDepartment of Disease Control, Ministry of Public Health, Nonthaburi 11000, Thailand.
Direk KhampaenDepartment of Disease Control, Ministry of Public Health, Nonthaburi 11000, Thailand.
Aaron FarmerDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok 10400, Thailand.ORCID 0000-0002-2115-4493
Stefan FernandezDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok 10400, Thailand.ORCID 0000-0001-8471-6265
Isabel Rodriguez-BarraquerUniversity of California, San Francisco, CA 94143.ORCID 0000-0001-6784-1021
Anon SrikiatkhachornDepartment of Cell and Molecular Biology, Institute for Immunology and Informatics, University of Rhode Island, Providence, RI 02903.ORCID 0000-0002-2423-8545
Stephen ThomasDepartment of Medicine, State University of New York Upstate Medical University, Syracuse, NY 13210.ORCID 0000-0002-8368-7682
Timothy EndyCoalition for Epidemic Preparedness Innovations, Washington, DC 20006.
Alan L RothmanDepartment of Cell and Molecular Biology, Institute for Immunology and Informatics, University of Rhode Island, Providence, RI 02903.ORCID 0000-0002-4064-6848
Kathryn AndersonDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok 10400, Thailand.
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, FL 32611.ORCID 0000-0002-9437-1907
Henrik SaljeDepartment of Genetics, University of Cambridge, Cambridge CB23EH, United Kingdom.ORCID 0000-0003-3626-4254
Armed Forces Research Institute of Medical Science · THMinistry of Public Health · THSUNY Upstate Medical University · USUniversity of Cambridge · GBUniversity of Rhode Island · USCoalition for Epidemic Preparedness Innovations · USUniversity of California, San Francisco · USUniversity of Florida · US

Funding

VIRAL DETERMINANTS OF SEVERE DENGUE DISEASEP01AI034533 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ROTHMAN, ALAN L · 1994 to 2022
$42.0M
Defining correlates of protection from dengue illness in a long-term cohort study of multigenerational house-holds in ThailandR01AI175941 · NIAID · UPSTATE MEDICAL UNIVERSITY · PI Kathryn B Anderson · 2023 to 2026
$2.7M
NIAID NIH HHS P01 AI034533NIAID NIH HHS R01 AI175941
6 · The paper itself

Abstract

Infants less than 1 y of age experience high rates of dengue disease in dengue virus (DENV) endemic countries. This burden is commonly attributed to antibody-dependent enhancement (ADE), whereby concentrations of maternally derived DENV antibodies become subneutralizing, and infection-enhancing. Understanding antibody-related mechanisms of enhanced infant dengue disease risk represents a significant challenge due to the dynamic nature of antibodies and their imperfect measurement processes. Further, key uncertainties exist regarding the impact of long-term shifts in birth rates, population-level infection risks, and maternal ages on the DENV immune landscape of newborns and their subsequent risks of severe dengue disease in infancy. Here, we analyze DENV antibody data from two infant cohorts (N = 142 infants with 605 blood draws) and 40 y of infant dengue hospitalization data from Thailand. We use mathematical models to reconstruct maternally derived antibody dynamics, accounting for discretized measurement processes and limits of assay detection. We then explore possible antibody-related mechanisms of enhanced infant dengue disease risk and their ability to reconstruct the observed age distribution of hospitalized infant dengue cases. We find that ADE mechanisms are best able to reconstruct the observed data. Finally, we describe how the shifting epidemiology of dengue in Thailand, combined with declining birth rates, have decreased the absolute risk of infant dengue disease by 88% over a 40-y period while having minimal impact on the mean age of infant hospitalized dengue disease.

Indexed as

DengueDengue VirusSevere DengueAntibodies, NeutralizingAntibodies, ViralAntibody-Dependent EnhancementHumansInfantInfant, NewbornAntibodies, NeutralizingAntibodies, Viralantibody dependent enhancementdenguematernal antibodies

Identifiers

PMID37774093
PMCPMC10576102
OpenAlexW4387164322

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.