Investigating antibody cross-reactivity and transmission dynamics of alphaviruses and flaviviruses using a multiplex serological assay

Accurate serological tools are essential for monitoring the transmission of arboviruses with pandemic potential, yet cross-reactivity between closely related viruses hampers diagnostics and surveillance. Here, we develop a high-throughput multiplex serological assay to quantify antibody responses to 28 antigens from nine arboviruses (dengue, Zika, yellow fever, West Nile, Usutu, Japanese encephalitis, chikungunya (CHIKV), Mayaro (MAYV), and O'nyong-nyong virus) and apply it to over 4000 samples from epidemiologically distinct sites on four continents. We implement a flexible analytical method based on Bayesian finite mixture models and Receiver Operating Characteristic analysis to evaluate assay performance and define seropositivity thresholds. As a case study, we resolve cross-reactive and virus-specific responses for CHIKV and the emerging MAYV by combining competitive immunoassays with mathematical modelling of multiplex serological and epidemiological data. This approach yields cross-reactivity-adjusted estimates of local transmission dynamics, in agreement with existing epidemiological evidence, and reveals that CHIKV is more prone to induce cross-reactive antibody responses than MAYV. Our results demonstrate the power of combining multiplex serology with experimental validation and modelling to disentangle exposure histories in the face of serological cross-reactivity. This integrative approach holds promise for improving arbovirus surveillance, particularly in settings with overlapping transmission of multiple viruses and limited diagnostic capacity.

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Publication Details

Journal
Nature Communications
Published
2026-04-15
DOI
https://doi.org/10.1038/s41467-026-71451-7
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigating antibody cross-reactivity and transmission dynamics of alphaviruses and flaviviruses using a multiplex serological assay

Myrielle Dupont‐Rouzeyrol, Dionicia Gamboa, Maylis Douine, Simon Cauchemez et al.
Nature Communications
Mosquito-borne diseases and control
article

Investigating antibody cross-reactivity and transmission dynamics of alphaviruses and flaviviruses using a multiplex serological assay

Myrielle Dupont‐Rouzeyrol, Dionicia Gamboa, Maylis Douine, Simon Cauchemez, Noé Ochida, Victor Yman, Michael T. White, Gamou Fall, Karl Huet, Makhtar Niang, Yann Lambert, Aïssatou Touré-Baldé, Oscar Nolasco, Jason Rosado, Gaëlle Baudemont, EM Cramer, Marie-Fabrice Gasasira, Oumar Ndiaye, Laura Garcia, Gabriel Carrasco-Escobar, Ines Vigan-Womas, Cheikh Loucoubar, Alice Sanna, Oumar Faye
article en

Abstract

Accurate serological tools are essential for monitoring the transmission of arboviruses with pandemic potential, yet cross-reactivity between closely related viruses hampers diagnostics and surveillance. Here, we develop a high-throughput multiplex serological assay to quantify antibody responses to 28 antigens from nine arboviruses (dengue, Zika, yellow fever, West Nile, Usutu, Japanese encephalitis, chikungunya (CHIKV), Mayaro (MAYV), and O'nyong-nyong virus) and apply it to over 4000 samples from epidemiologically distinct sites on four continents. We implement a flexible analytical method based on Bayesian finite mixture models and Receiver Operating Characteristic analysis to evaluate assay performance and define seropositivity thresholds. As a case study, we resolve cross-reactive and virus-specific responses for CHIKV and the emerging MAYV by combining competitive immunoassays with mathematical modelling of multiplex serological and epidemiological data. This approach yields cross-reactivity-adjusted estimates of local transmission dynamics, in agreement with existing epidemiological evidence, and reveals that CHIKV is more prone to induce cross-reactive antibody responses than MAYV. Our results demonstrate the power of combining multiplex serology with experimental validation and modelling to disentangle exposure histories in the face of serological cross-reactivity. This integrative approach holds promise for improving arbovirus surveillance, particularly in settings with overlapping transmission of multiple viruses and limited diagnostic capacity.

Nature CommunicationsVol. 17(1)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Pasteur (FR), Universidad Peruana Cayetano Heredia (PE), Université Paris Cité (FR), University of French Guiana (GF), Karolinska Institutet (SE), Sorbonne Paris Cité (FR), Stockholm South General Hospital (SE), Centre Hospitalier Andrée Rosemon (GF), Institut Pasteur de Dakar (SN), Institut Pasteur de Nouvelle Calédonie (NC), Institut de Recherche pour le Développement (FR)
European Commission, Agence Nationale de la Recherche, Svenska Sällskapet för Medicinsk Forskning, Svenska Läkaresällskapet, National Institutes of Health, European and Developing Countries Clinical Trials Partnership
Good health and well-being
Openalex Percentile: Top 23%
Mosquito-borne diseases and control
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