Dataset Information


Comprehensive Evaluation of Differential Serodiagnosis between Zika and Dengue Viral Infections.

ABSTRACT: Diagnostic testing for Zika virus (ZIKV) or dengue virus (DENV) infection can be accomplished by a nucleic acid detection method; however, a negative result does not exclude infection due to the low virus titer during infection depending on the timing of sample collection. Therefore, a ZIKV- or DENV-specific serological assay is essential for the accurate diagnosis of patients and to mitigate potential severe health outcomes. A retrospective study design with dual approaches of collecting human serum samples for testing was developed. All serum samples were extensively evaluated by using both noninfectious wild-type (wt) virus-like particles (VLPs) and soluble nonstructural protein 1 (NS1) in the standard immunoglobulin M (IgM) antibody-capture enzyme-linked immunosorbent assay (MAC-ELISA). Both ZIKV-derived wt-VLP- and NS1-MAC-ELISAs were found to have similar sensitivities for detecting anti-premembrane/envelope and NS1 antibodies from ZIKV-infected patient sera, although lower cross-reactivity to DENV2/3-NS1 was observed. Furthermore, group cross-reactive (GR)-antibody-ablated homologous fusion peptide-mutated (FP)-VLPs consistently showed higher positive-to-negative values than homologous wt-VLPs. Therefore, we used DENV-2/3 and ZIKV FP-VLPs to develop a novel, serological algorithm for differentiating ZIKV from DENV infection. Overall, the sensitivity and specificity of the FP-VLP-MAC-ELISA and the NS1-MAC-ELISA were each higher than 80%, with no statistical significance. The accuracy can reach up to 95% with the combination of FP-VLP and NS1 assays. In comparison to current guidelines using neutralization tests to measure ZIKV antibody, this approach can facilitate laboratory screening for ZIKV infection, especially in regions where DENV infection is endemic and capacity for neutralization testing does not exist.


PROVIDER: S-EPMC6425182 | BioStudies | 2019-01-01

REPOSITORIES: biostudies

Similar Datasets

1000-01-01 | S-EPMC4298564 | BioStudies
2020-01-01 | S-EPMC7473235 | BioStudies
1000-01-01 | S-EPMC5850648 | BioStudies
2019-01-01 | S-EPMC6355536 | BioStudies
2018-01-01 | S-EPMC6000977 | BioStudies
1000-01-01 | S-EPMC4733197 | BioStudies
2019-01-01 | S-EPMC6425168 | BioStudies
2017-01-01 | S-EPMC5550446 | BioStudies
2019-01-01 | S-EPMC6707547 | BioStudies
| S-EPMC7023361 | BioStudies