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Combination of non-structural protein 1-based enzyme-linked immunosorbent assays can detect and distinguish various dengue virus and Zika virus infections.

Tyson, Jasmine; Tsai, Wen-Yang; Tsai, Jih-Jin; Brites, Carlos; Mässgård, Ludvig; Youn, Han Ha; Pedroso, Celia; Drexler, Jan Felix; Stramer, Susan L; Balmaseda, Angel; Harris, Eva; Wang, Wei-Kung.
J Clin Microbiol; 2018 Nov 14.
Artigo em Inglês | MEDLINE | ID: mdl-30429254
The recent outbreaks of Zika virus (ZIKV) and associated birth defects in dengue virus (DENV)-endemic regions emphasize the need for sensitive and specific serodiagnostic tests. We reported previously that enzyme-linked immunosorbent assays (ELISAs) based on the nonstructural protein 1 (NS1) of DENV serotype 1 (DENV1) and ZIKV can distinguish primary DENV1, secondary DENV and ZIKV infections. Whether ELISA based on NS1 proteins of other DENV serotypes can discriminate various DENV and ZIKV infections remains unknown. We herein developed DENV2-, DENV3- and DENV4-NS1 IgG ELISAs to test convalescent- and post-convalescent-phase samples from reverse-transcription-polymerase-chain reaction-confirmed cases, including 25 primary DENV1, 24 primary DENV2, 10 primary DENV3, 67 secondary DENV, 36 primary West Nile virus, 38 primary ZIKV, and 35 ZIKV with previous DENV infections as well as 55 flavivirus-naïve samples. Each ELISA can detect primary DENV infection with a sensitivity of 100% for the same serotype and of 23.8 to 100% for different serotypes. IgG ELISA using a mixture of DENV1-4 NS1 proteins can detect different primary and secondary DENV infections with a sensitivity of 95.6% and specificity of 89.5%. The ZIKV-NS1 IgG ELISA can detect ZIKV infection with a sensitivity of 100% and specificity of 82.9%. Based on the relative optical density ratio, combination of DENV1-4 and ZIKV-NS1 IgG ELISAs can distinguish ZIKV with previous DENV and secondary DENV infections with a sensitivity of 91.7-94.1% and specificity of 87.0-95.0%. These findings have important applications to serodiagnosis, serosurveillance and monitoring of both DENV and ZIKV infections in endemic regions.
Selo DaSilva