Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam

Abstract Dengue pathogenesis is extremely complex. Dengue infections are thought to induce life-long immunity from homologous challenges as well as a multi-factorial heterologous risk enhancement. Here, we use the data collected from a prospective cohort study of dengue infections in schoolchildren...

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Autores principales:	R. Aguas, I. Dorigatti, L. Coudeville, C. Luxemburger, N. M. Ferguson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f80d98ce16244502b28f036b29239f13
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spelling	oai:doaj.org-article:f80d98ce16244502b28f036b29239f132021-12-02T15:10:03ZCross-serotype interactions and disease outcome prediction of dengue infections in Vietnam10.1038/s41598-019-45816-62045-2322https://doaj.org/article/f80d98ce16244502b28f036b29239f132019-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-45816-6https://doaj.org/toc/2045-2322Abstract Dengue pathogenesis is extremely complex. Dengue infections are thought to induce life-long immunity from homologous challenges as well as a multi-factorial heterologous risk enhancement. Here, we use the data collected from a prospective cohort study of dengue infections in schoolchildren in Vietnam to disentangle how serotype interactions modulate clinical disease risk in the year following serum collection. We use multinomial logistic regression to correlate the yearly neutralizing antibody measurements obtained with each infecting serotype in all dengue clinical cases collected over the course of 6 years (2004–2009). This allowed us to extrapolate a fully discretised matrix of serotype interactions, revealing clear signals of increased risk of clinical illness in individuals primed with a previous dengue infection. The sequences of infections which produced a higher risk of dengue fever upon secondary infection are: DEN1 followed by DEN2; DEN1 followed by DEN4; DEN2 followed by DEN3; and DEN4 followed by DEN3. We also used this longitudinal data to train a machine learning algorithm on antibody titre differences between consecutive years to unveil asymptomatic dengue infections and estimate asymptomatic infection to clinical case ratios over time, allowing for a better characterisation of the population’s past exposure to different serotypes.R. AguasI. DorigattiL. CoudevilleC. LuxemburgerN. M. FergusonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q R. Aguas I. Dorigatti L. Coudeville C. Luxemburger N. M. Ferguson Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam
description	Abstract Dengue pathogenesis is extremely complex. Dengue infections are thought to induce life-long immunity from homologous challenges as well as a multi-factorial heterologous risk enhancement. Here, we use the data collected from a prospective cohort study of dengue infections in schoolchildren in Vietnam to disentangle how serotype interactions modulate clinical disease risk in the year following serum collection. We use multinomial logistic regression to correlate the yearly neutralizing antibody measurements obtained with each infecting serotype in all dengue clinical cases collected over the course of 6 years (2004–2009). This allowed us to extrapolate a fully discretised matrix of serotype interactions, revealing clear signals of increased risk of clinical illness in individuals primed with a previous dengue infection. The sequences of infections which produced a higher risk of dengue fever upon secondary infection are: DEN1 followed by DEN2; DEN1 followed by DEN4; DEN2 followed by DEN3; and DEN4 followed by DEN3. We also used this longitudinal data to train a machine learning algorithm on antibody titre differences between consecutive years to unveil asymptomatic dengue infections and estimate asymptomatic infection to clinical case ratios over time, allowing for a better characterisation of the population’s past exposure to different serotypes.
format	article
author	R. Aguas I. Dorigatti L. Coudeville C. Luxemburger N. M. Ferguson
author_facet	R. Aguas I. Dorigatti L. Coudeville C. Luxemburger N. M. Ferguson
author_sort	R. Aguas
title	Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam
title_short	Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam
title_full	Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam
title_fullStr	Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam
title_full_unstemmed	Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam
title_sort	cross-serotype interactions and disease outcome prediction of dengue infections in vietnam
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/f80d98ce16244502b28f036b29239f13
work_keys_str_mv	AT raguas crossserotypeinteractionsanddiseaseoutcomepredictionofdengueinfectionsinvietnam AT idorigatti crossserotypeinteractionsanddiseaseoutcomepredictionofdengueinfectionsinvietnam AT lcoudeville crossserotypeinteractionsanddiseaseoutcomepredictionofdengueinfectionsinvietnam AT cluxemburger crossserotypeinteractionsanddiseaseoutcomepredictionofdengueinfectionsinvietnam AT nmferguson crossserotypeinteractionsanddiseaseoutcomepredictionofdengueinfectionsinvietnam
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Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam

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