NS1-based ELISA test efficiently detects dengue infections without cross-reactivity with Zika virus

Objectives: The aim of this study was to achieve greater specificity of dengue virus (DENV) serological tests based on a recombinant antigen derived from non-structural protein 1 (ΔNS1) with regard to cross-reactive Zika virus (ZIKV) anti-NS1 antibody responses. This is of relevance in endemic regio...

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Main Authors: Samuel Santos Pereira, Robert Andreata-Santos, Lennon Ramos Pereira, Camila Pereira Soares, Alvina Clara Félix, Patrícia de Mello Jungmann Cardoso de Andrade, Edison Luís Durigon, Camila Malta Romano, Luís Carlos de Souza Ferreira
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:International Journal of Infectious Diseases
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Online Access:http://www.sciencedirect.com/science/article/pii/S1201971221007190
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Summary:Objectives: The aim of this study was to achieve greater specificity of dengue virus (DENV) serological tests based on a recombinant antigen derived from non-structural protein 1 (ΔNS1) with regard to cross-reactive Zika virus (ZIKV) anti-NS1 antibody responses. This is of relevance in endemic regions for the serological discrimination of both DENV and ZIKV, such as Brazil and other tropical countries. Methods: The ΔNS1 proteins were obtained as recombinant antigens and were evaluated as solid-phase-bound antigens in the ELISA test to detect anti-NS1 IgG antibodies. The performance of the ∆NS1-based DENV IgG ELISA was assessed with both mouse and human serum samples previously exposed to DENV or ZIKV. Results: The ∆NS1-based DENV IgG ELISA detected anti-DENV NS1 IgG without cross-reactivity with ZIKV-positive serum samples. The sensitivity and specificity of the assay determined using samples previously characterized by real-time PCR (qRT-PCR) or plaque reduction neutralization assay (PRNT) were 82% and 93%, respectively. Conclusion: The ∆NS1-based DENV IgG ELISA conferred enhanced diagnostic specificity for anti-DENV serological tests and may be particularly useful for serological analyses in endemic regions for both DENV and ZIKV transmission.
ISSN:1201-9712