{
  "abstract": "Arboviruses such as dengue virus (DENV) and chikungunya virus (CHIKV) pose major global health threats. To support serological surveillance and study cross-reactivity, an in-house multiplex bead-based immunoassay was developed to measure IgG responses against a wide panel of orthoflavivirus and alphavirus antigens. Samples from Senegal, France, the Philippines, and Bangladesh enabled analyses to be carried out in endemic and non-endemic regions. IgG kinetics following DENV1 and CHIKV infections revealed virus-specific temporal profiles and identified antigens, such as CHIKV E2 and VLP, as well as DENV1 EDIII and SNAP-tagged EDIII, as promising markers for serosurveillance. A two-step Random Forest model was used to classify PRNT-positive samples and predict PRNT titers. CHIKV showed a strong correlation between IgG and PRNT titers (R² = 0.71), while DENV1 showed weaker performance (R² = 0.42). These results support the use of multiplex serology for arbovirus surveillance and highlight the limitations of using binding antibodies to predict neutralisation, particularly for orthoflaviviruses. Author summary: Arboviruses such as dengue and chikungunya are transmitted by mosquitoes and affect millions of people worldwide. In many regions, several viruses circulate at the same time. Detecting past infections using blood tests is essential for understanding how widely these viruses spread, but this is complicated because antibodies against related viruses often cross-react. In this study, we developed a high-throughput blood test that can measure antibodies against many mosquito-borne viruses simultaneously using a very small amount of blood. We applied this approach to samples collected in four countries with different patterns of arbovirus circulation: Senegal, Bangladesh, the Philippines, and France. By analysing antibody responses after confirmed dengue and chikungunya infections, we identified specific viral components that help distinguish true infections from cross-reactive responses. We used machine-learning methods to test whether antibody measurements could predict how antibodies in blood can neutralize viruses. This approach worked well for chikungunya but was less accurate for dengue, reflecting the complex immunity to closely related viruses. Overall, our results show that multiplex antibody testing can improve arbovirus surveillance, especially where several viruses are circulating at the same time.",
  "abstract_shown": true,
  "affiliations": [
    "Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, INSERM U1347, Paris, France",
    "Environment and Infectious Risks Unit, Institut Pasteur, Paris, France",
    "Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden",
    "Department of Infectious Diseases, Södersjukhuset, Stockholm, Sweden",
    "Processus Infectieux en Milieu Insulaire Tropical (PIMIT), Université de La Réunion, INSERM U1187, CNRS 9192, IRD 249, Plateforme Technologique CYROI, Sainte-Clotilde, La Réunion, France",
    "Institut Pasteur, Université Paris Cité, Production and Purification of recombinant Proteins Platform, CNRS UMR3528, Paris, France",
    "International Vaccine Institute, Seoul, Republic of Korea",
    "Department of Virology, Walter Reed Army Institute of Research-Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok, Thailand",
    "Philippines-AFRIMS Virology Research Unit, Cebu City, Philippines",
    "Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America",
    "International Centre for Diarrhoeal Disease Research, Bangladesh (icddr, b), Dhaka, Bangladesh",
    "Department of Pathology and Center for Vector-Borne and Zoonotic Diseases, University of Texas, Medical Branch, Galveston, Texas, United States of America",
    "Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America",
    "MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom",
    "Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom",
    "Institut Pasteur de Dakar, Dakar, Senegal",
    "Department of Genetics, University of Cambridge, Cambridge, United Kingdom"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 24,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Laura Garcia"
    },
    {
      "affs": [
        1
      ],
      "name": "Victor Yman"
    },
    {
      "affs": [
        2
      ],
      "name": "Marie-Fabrice Gasasira"
    },
    {
      "affs": [
        3
      ],
      "name": "Françoise Donnadieu"
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    {
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        4
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      "name": "Jason Rosado"
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    {
      "affs": [
        5
      ],
      "name": "Lucie Cappuccio"
    },
    {
      "affs": [
        6
      ],
      "name": "Damien Hoinard"
    },
    {
      "affs": [
        7
      ],
      "name": "Philippe Desprès"
    },
    {
      "affs": [
        8
      ],
      "name": "Stéphane Petres"
    },
    {
      "affs": [
        9
      ],
      "name": "Jean-Claude Manuguerra"
    },
    {
      "affs": [
        10
      ],
      "name": "In-Kyu Yoon"
    },
    {
      "affs": [
        11
      ],
      "name": "Taweewan Hunsawong"
    },
    {
      "affs": [
        12
      ],
      "name": "Maria Theresa P. Alera"
    },
    {
      "affs": [
        13
      ],
      "name": "Emily S. Gurley"
    },
    {
      "affs": [
        14
      ],
      "name": "Nikos Vasilakis"
    },
    {
      "affs": [
        15
      ],
      "name": "Scott C. Weaver"
    },
    {
      "affs": [
        16
      ],
      "name": "Ziaur Rahman"
    },
    {
      "name": "Ilaria Dorigatti"
    },
    {
      "name": "Chris Drakeley"
    },
    {
      "name": "Inès Vigan-Womas"
    },
    {
      "name": "Makhtar Niang"
    },
    {
      "name": "Henrik Salje"
    },
    {
      "name": "Jessica Vanhomwegen"
    },
    {
      "name": "Michael White"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/43zhj33aqf0np.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pntd.0013704",
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  "pmcid": null,
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  "published": "2026-09-23",
  "publisher": "Public Library of Science",
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  "title": "A multiplex serological assay for quantification of arbovirus antibody kinetics and neutralizing antibodies",
  "title_text": "A multiplex serological assay for quantification of arbovirus antibody kinetics and neutralizing antibodies",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:43Z",
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