Evidence map›Paper›PMID 37577717›Full record

ArticleResearch square2023

Antigenic diversity and dengue disease risk.

Lin Wang, Angkana T Huang, Leah C Katzelnick, Noémie Lefrancq, Ana Coello Escoto, Loréna Duret, Nayeem Chowdhury, Richard Jarman, Matthew A Conte, Irina Maljkovic Berry and 9 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

19 authors at 8 institutions in 5 countries.

Lin WangDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom.ORCID 0000-0002-5371-2138
Angkana T HuangDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom.ORCID 0000-0002-9857-3506
Leah C KatzelnickLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Noémie LefrancqDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom.ORCID 0000-0001-5991-6169
Ana Coello EscotoLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Loréna DuretDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom.
Nayeem ChowdhuryLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Richard JarmanCoalition for Epidemic Preparedness Initiative, Washington DC, USA.
Matthew A ConteViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Irina Maljkovic BerryViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Stefan FernandezDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Chonticha KlungthongDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Butsaya ThaisomboonsukDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Piyarat SuntarattiwongQueen Sirikit National Institute of Child Health, Bangkok, Thailand.
Warunee VandepitteQueen Sirikit National Institute of Child Health, Bangkok, Thailand.
Stephen WhiteheadLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0001-6707-482X
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.ORCID 0000-0001-9186-4549
Derek A T CummingsDepartment of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-9437-1907
Henrik SaljeDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom.ORCID 0000-0003-3626-4254
University of Cambridge · GBArmed Forces Research Institute of Medical Science · THNational Institutes of Health · USQueen Sirikit National Institute of Child Health · THCentre National de la Recherche Scientifique · FRCoalition for Epidemic Preparedness Innovations · USUniversity of Florida · USWalter Reed Army Institute of Research · US

Funding

LINKING ANTIGENIC & GENETIC VARIATION OF DENGUE TO INDIVIDUAL AND POPULATION RISKR01AI114703 · NIAID · UNIVERSITY OF FLORIDA · PI CUMMINGS, DEREK A · 2015 to 2019
$3.6M
NIAID NIH HHS R01 AI114703
6 · The paper itself

Abstract

Many pathogens continuously change their protein structure in response to immune-driven selection, resulting in weakened protection. In addition, for some pathogens such as dengue virus, poorly targeted immunity is associated with increased risk of severe disease, through a mechanism known as antibody-dependent enhancement. However, it remains a mystery whether the antigenic distance between an individual's first infection and subsequent exposures dictate disease risk, explaining the observed large-scale differences in dengue hospitalisations across years. Here we develop an inferential framework that combines detailed antigenic and genetic characterisation of viruses, and hospitalised cases from 21 years of surveillance in Bangkok, Thailand to identify the role of the antigenic profile of circulating viruses in determining disease risk. We find that the risk of hospitalisation depends on both the specific order of infecting serotypes and the antigenic distance between an individual's primary and secondary infections, with risk maximised at intermediate antigenic distances. These findings suggest immune imprinting helps determine dengue disease risk, and provides a pathway to monitor the changing risk profile of populations and to quantifying risk profiles of candidate vaccines.

Identifiers

PMID37577717
PMCPMC10418532
OpenAlexW4385493814

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.