Linking Antigenic Diversity to Dengue Disease Risk

Posted: 5 Dec 2023

See all articles by Butsaya Thaisomboonsuk

Butsaya Thaisomboonsuk

Queen Sirikit National Institute of Child Health

Irina Maljkovic Berry

Queen Sirikit National Institute of Child Health

Stefan Fernandez

Armed Forces Research Institute of Medical Sciences

Chonticha Klungthong

Armed Forces Research Institute of Medical Sciences

Warunee Vandepitte

Queen Sirikit National Institute of Child Health

Stephen Whitehead

Queen Sirikit National Institute of Child Health

Simon Cauchemez

Institut Pasteur - Mathematical Modelling of Infectious Diseases Unit

Derek A.T. Cummings

University of Florida

Henrik Salje

University of Cambridge - Department of Genetics

Angkana Huang

Queen Sirikit National Institute of Child Health

Leah Katzelnick

University of California, Berkeley - Division of Infectious Diseases and Vaccinology

Richard Jarman

Queen Sirikit National Institute of Child Health

Noémie Lefrancq

University of Cambridge - Department of Genetics

Loréna Duret

Queen Sirikit National Institute of Child Health

Ana Coello Escoto

Queen Sirikit National Institute of Child Health

Nayeem Chowdhury

Queen Sirikit National Institute of Child Health

Matthew Conte

Queen Sirikit National Institute of Child Health

Lin Wang

University of Cambridge - Department of Genetics; The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Piyarat Suntarattiwong

Queen Sirikit National Institute of Child Health

Abstract

Background & aims of study.

Antigenically variable pathogens continuously change in response to immune driven selection. Variation in epitopes caused by shifting protein structure results in poorly targeted or sub-neutralizing immunity typically associated with weakened protection, but in the case of dengue virus, sub-neutralizing antibody titers are linked to severe disease. The role of the antigenic relationship between the viruses inducing initial immune responses and viruses involved in subsequent exposures in determining dengue disease risk remains unknown. We aim to use long-term virus antigenic characterization data and hospital-based case surveillance data to infer the role of antigenic diversity in driving dengue disease risk.

Methods & results

We combined detailed genetic (N=2,587 viruses) and antigenic (N=348 viruses) characterization of dengue viruses from Bangkok Thailand over a 21-year period (1994-2014), with long-term serotype and age-specific case data from a large children’s hospital in the city (N=15,281 cases). We developed a mathematical framework that integrates over birth-cohorts lifetime exposures to the virus. We reconstructed the changing immune profile of the human population and find that the risk of severe dengue from a secondary infection depends on both the specific serotypes and the antigenic distance between viruses that are responsible for an individual’s primary and secondary infections, with risk maximized at intermediate antigenic distances.

Implications

Our findings challenge the prevailing paradigm that the introduction of a new serotype is responsible for shifts in disease risk in a population. Instead, our findings suggest a more nuanced picture where the specific impact of a new virus on patterns of disease will depend on both the characteristics of that virus and the characteristics of the population immunity derived from previous circulations of antigenically different viruses. These findings show that immunity from initial infections is critical to subsequent disease risk, consistent with immune imprinting, with implications for vaccine development and use.


Note: This conference abstract was presented at the 9th International Conference on Infectious Disease Dynamics organized by the journal Epidemics. This abstract has not been screened by SSRN for potential for public harm and should not be used to inform any clinical decision making. No competing interests or funding statements have been declared.

Suggested Citation

Thaisomboonsuk, Butsaya and Maljkovic Berry, Irina and Fernandez, Stefan and Klungthong, Chonticha and Vandepitte, Warunee and Whitehead, Stephen and Cauchemez, Simon and Cummings, Derek A.T. and Salje, Henrik and Huang, Angkana and Katzelnick, Leah and Jarman, Richard and Lefrancq, Noémie and Duret, Loréna and Coello Escoto, Ana and Chowdhury, Nayeem and Conte, Matthew and Wang, Lin and Suntarattiwong, Piyarat, Linking Antigenic Diversity to Dengue Disease Risk. 9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS:O1.4, Available at SSRN: https://ssrn.com/abstract=4654918

Butsaya Thaisomboonsuk

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Irina Maljkovic Berry

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Stefan Fernandez

Armed Forces Research Institute of Medical Sciences ( email )

Thailand

Chonticha Klungthong

Armed Forces Research Institute of Medical Sciences ( email )

Thailand

Warunee Vandepitte

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Stephen Whitehead

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Simon Cauchemez

Institut Pasteur - Mathematical Modelling of Infectious Diseases Unit ( email )

75724 Paris CEDEX 15
France

Derek A.T. Cummings

University of Florida ( email )

PO Box 117165, 201 Stuzin Hall
Gainesville, FL 32610-0496
United States

Henrik Salje

University of Cambridge - Department of Genetics ( email )

Cambridge
United Kingdom

Angkana Huang

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Leah Katzelnick

University of California, Berkeley - Division of Infectious Diseases and Vaccinology ( email )

United States

Richard Jarman

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Noémie Lefrancq

University of Cambridge - Department of Genetics ( email )

Loréna Duret

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Ana Coello Escoto

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Nayeem Chowdhury

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Matthew Conte

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Lin Wang (Contact Author)

University of Cambridge - Department of Genetics ( email )

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Piyarat Suntarattiwong

Queen Sirikit National Institute of Child Health ( email )

Bangkok
Thailand

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
40
PlumX Metrics