Identification of a Zika NS2B Epitope for Which Absence of IgG Response Is Associated with Severe Neurological Symptoms and the Design of a Biomarker Capable of Discriminatory Diagnostics Between Severe and Non4 Severe Clinical Phenotypes

In this manuscript we describe the engineering of a biomarker for the diagnosis and prognosis of Zika-associated neurological disease. Although the causal association between congenital Zika virus (ZIKV) infection and neurological manifestations has been well documented in the recent years, biomarkers for proper diagnostic and disease outcome still remain to be defined. Combining high-density peptide array and multivariate analysis, we have identified an ZIKV epitope that is associated to a lack of IgG antibody response in patients with severe neurological symptoms. An engineered chimera was developed to discriminate between mild and severe clinical forms of the disease.