1. Technical evaluation of the InBios Strongy Detect IgG ELISA assay for the diagnosis of Strongyloides stercoralis infection
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Sara Roose, Marco Prato, Adama Kazienga, Iris Peelaers, Justien Arens, Gemechu Tadessa Leta, Cristina Mazzi, Dora Buonfrate, Bruno Levecke, and Francesca Tamarozzi
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Strongyloides stercoralis ,Strongyloidiasis ,Diagnosis ,Serology ,Seroassay ,ELISA ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Strongyloidiasis is a neglected tropical disease (NTD) caused by the soil-transmitted helminth Strongyloides stercoralis, recently included in the 2030 targets of the World Health Organization for the control of STHs. Assessment of infection prevalence is fundamental for decision-making about the implementation of control programs, but diagnostic assays to be applied in such context require evaluation. Seroassays based on recombinant antigens, which could be produced in a standardized and scalable manner, are particularly appealing for use in control programs. In this study, we performed a technical evaluation of the InBios Strongy Detect IgG ELISA, based on recombinant antigens NIE and SsIR, which has shown promising for field use. Methods A total of 46 plasma samples from Ethiopian children were used for this technical evaluation. Repeatability was evaluated on duplicate samples per plate, on four plates per day for 3 days using Bland–Altman plots, analysis of residuals, and variance components analysis. Three samples were selected for evaluation of the uniformity of test results within a single plate (border effect) by two-sided t-test. Correlation between samples and internal ELISA positive controls was analyzed using Spearman’s rank correlation coefficient applied on the results of 777 samples analyzed with the assay in a previous field-based study. Results Within and between plate residuals ranged from −0.05 to + 0.05 and −0.1 to + 0.1, respectively. Total variance was estimated at 0.327; 99.6% of variation could be attributed to the samples. There was no systematic border effect and a negligible correlation between positive internal control and samples results (R 2 = 0.213; p
- Published
- 2024
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