NS1 glycoprotein detection in serum and urine as an electrochemical screening immunosensor for dengue and Zika virus.

The incidence of infection by the dengue virus (DENV) has grown dramatically, reaching 128 countries in tropical and subtropical regions worldwide, with a pattern of hyper-endemicity. DENV is a mosquito-borne disease having four serotypes, one or two circulating in epidemic outbreaks. The diagnosis of DENV is challenging mainly due to the circulation of new viruses with remarkable similarities, such as Zika (ZIKV) that may cause fetal microcephaly. DENV affects 390 million people per year, but these numbers may be higher due to the underreported and misclassified cases. Recently, the NS1 nonstructural protein has been described in serum and urine of DENV and ZIKV patients, suggesting its use as a biomarker for screening since a negative NS1 sample confirms the absence of these infections. Herein, a label-free immunosensor comprising an assembled nanostructured thin film of carbon nanotube-ethylenediamine is described. The advantage of in situ electrosynthesis of polymer film is to allow major control of thickness and conductivity, in addition to designing the reactive groups for functionalization. A quartz crystal microbalance system was used to estimate the thickness of the polymeric film obtained. The anti-NS1 monoclonal antibodies were immobilized to carbon nanotubes by covalent linkage, permitting a high stability during measurements. Analytical responses to NS1 were obtained by differential pulse voltammetry (DPV), showing a linear range from 20 to 800 ng mL-1 and reproducibility of 3.0%, with a limit of detection (LOD) of 6.8 ng mL- 1. This immunosensor was capable of detecting ZIKV and DENV NS1 in spiked urine and real serum in a clinical range.Graphical abstract.

Early diagnosis of Zika infection using a ZnO nanostructures-based rapid electrochemical biosensor.

In this work, we report a develop of electrochemical immunosensor based on ZnO nanostructures immobilized with ZIKV-NS1 antibody on Printed Circuit Board (PCB). ZnO nanostructures were grown on PCB by chemical bath deposition (CDB) and characterized by SEM. ZIKV-NS1 antibody was immobilized on the ZnO nanostructures surface via cystamine and glutaraldehyde. The samples were characterized by Immunofluorescence Confocal Microscopy and FTIR to identify the immobilization of the antibody to the sensor board. The analytical responses of the immunosensor were evaluated by Cyclic Voltammetry (CV). The biosensor developed here allows rapid detection of Zika virus in undiluted urine, without cross reactive with DENV-NS1 antigen, with linear range 0.1  ng mL-1 to 100 ng mL-1. The limit of detection is lower than 1.00 pg  mL-1. The biosensor is portable, cost-effectiveness, and simple to use, which makes it ideal for point-of-care applications.

Value of Routine Dengue Diagnostic Tests in Urine and Saliva Specimens.

BACKGROUND: Dengue laboratory diagnosis is essentially based on detection of the virus, its components or antibodies directed against the virus in blood samples. Blood, however, may be difficult to draw in some patients, especially in children, and sampling during outbreak investigations or epidemiological studies may face logistical challenges or limited compliance to invasive procedures from subjects. The aim of this study was to assess the possibility of using saliva and urine samples instead of blood for dengue diagnosis. METHODOLOGY/PRINCIPAL FINDINGS: Serial plasma, urine and saliva samples were collected at several time-points between the day of admission to hospital until three months after the onset of fever in children with confirmed dengue disease. Quantitative RT-PCR, NS1 antigen capture and ELISA serology for anti-DENV antibody (IgG, IgM and IgA) detection were performed in parallel on the three body fluids. RT-PCR and NS1 tests demonstrated an overall sensitivity of 85.4%/63.4%, 41.6%/14.5% and 39%/28.3%, in plasma, urine and saliva specimens, respectively. When urine and saliva samples were collected at the same time-points and tested concurrently, the diagnostic sensitivity of RNA and NS1 detection assays was 69.1% and 34.4%, respectively. IgG/IgA detection assays had an overall sensitivity of 54.4%/37.4%, 38.5%/26.8% and 52.9%/28.6% in plasma, urine and saliva specimens, respectively. IgM were detected in 38.1% and 36% of the plasma and saliva samples but never in urine. CONCLUSIONS: Although the performances of the different diagnostic methods were not as good in saliva and urine as in plasma specimens, the results obtained by qRT-PCR and by anti-DENV antibody ELISA could well justify the use of these two body fluids to detect dengue infection in situations when the collection of blood specimens is not possible.

Detecting Dengue Virus Nonstructural Protein 1 (NS1) in Urine Samples Using ELISA for the Diagnosis of Dengue Virus Infection.

Dengue virus (DENV) infection is a serious global health threat. For the surveillance and control of dengue, there is a need for robust diagnostic tools that are relatively easy to use and reliable in various clinical settings. We investigated the applicability of NS1 antigen detection in urine samples for the diagnosis of DENV. About 118 urine samples, obtained from 96 dengue patients at various phases of disease, were used for this study. NS1 antigen was detected by ELISA in the urine samples obtained from patients after 2-17 days of disease onset. Positive detection rates of NS1 antigen ranged between 13-43%. Based on real-time RT-PCR, positive detection rates of viral genome in the urine samples ranged between 20-33% on days 0 to ≥15. On days 11 to ≥15 after the disease onset, NS1 antigen was detected at similar rates in serum and urine samples. Additionally, NS1 antigen was detected in 2 urine samples, but not in the serum samples, on days 7 and 16 after the onset of the disease. The results confirm the applicability of NS1 antigen detection in urine samples using ELISA to diagnose acute DENV infection and suggests that the assay is potentially useful when only limited amounts of serum samples are available and in limited resource settings.