Using NS1 Flavivirus Protein Microarray to Infer Past Infecting Dengue Virus Serotype and Number of Past Dengue Virus Infections in Vietnamese Individuals

Author:

Thao Tran Thi Nhu123,de Bruin Erwin1,Phuong Huynh Thi2,Thao Vy Nguyen Ha2,van den Ham Henk-Jan1ORCID,Wills Bridget A24,Tien Nguyen Thi Hanh2,Le Duyen Huynh Thi2,Trung Dinh The2,Whitehead Stephen S5,Boni Maciej F246,Koopmans Marion1ORCID,Clapham Hannah E24

Affiliation:

1. Viroscience Department, Erasmus University of Rotterdam, Rotterdam, the Netherlands

2. Oxford University Clinical Research Unit, Wellcome Trust Asia Program, Ho Chi Minh City, Vietnam

3. Institute for Virology and Immunology, University of Bern, Bern, Switzerland

4. Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

5. Laboratory of Viral Diseases, National Institutes of Health, Bethesda, Maryland, USA

6. Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA

Abstract

Abstract Background In recent years, researchers have had an increased focus on multiplex microarray assays, in which antibodies are measured against multiple related antigens, for use in seroepidemiological studies to infer past transmission. Methods We assess the performance of a flavivirus microarray assay for determining past dengue virus (DENV) infection history in a dengue-endemic setting, Vietnam. We tested the microarray on samples from 1 and 6 months postinfection from DENV-infected patients (infecting serotype was determined using reverse-transcription polymerase chain reaction during acute, past primary, and secondary infection assessed using plaque reduction neutralization tests 6 months postinfection). Results Binomial models developed to discriminate past primary from secondary infection using the protein microarray (PMA) titers had high area under the curve (0.90–0.97) and accuracy (0.84–0.86). Multinomial models developed to identify most recent past infecting serotype using PMA titers performed well in those with past primary infection (average test set: κ = 0.85, accuracy of 0.92) but not those with past secondary infection (κ = 0.24, accuracy of 0.45). Conclusions Our results suggest that the microarray will be useful in seroepidemiological studies aimed at classifying the past infection history of individuals (past primary vs secondary and serotype of past primary infections) and thus inferring past transmission intensity of DENV in dengue-endemic settings. Future work to validate these models should be undertaken in different transmission settings and with samples later after infection.

Funder

Wellcome Trust Enhancement Award

Wellcome Trust Centre

ZIKALLIANCE

I&I Fund for Research Masters Infection and Immunity

Erasmus Postgraduate School of Molecular Medicine

Erasmus University Holland Scholarship

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

Reference34 articles.

1. A review of successful flavivirus vaccines and the problems with those flaviviruses for which vaccines are not yet available;Ishikawa;Vaccine,2014

2. The global distribution and burden of dengue;Bhatt;Nature,2013

3. Surveillance of dengue and chikungunya infection in Dong Thap, Vietnam: a 13-month study;Kim Lien;Asian Pac J Trop Med,2016

4. Recent advances in understanding dengue [version 1; peer review: 3 approved]. F1000Research 2016; 5(F1000 Faculty Rev):78. Available at: https://f1000research.com/articles/5-78.;Yacoub

5. Immune status alters the probability of apparent illness due to dengue virus infection: evidence from a pooled analysis across multiple cohort and cluster studies;Clapham;PLoS Negl Trop Dis,2017

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