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DOI 10.1016/j.imlet.2016.03.002

Медицинская библиотека · Immunology letters · 2016

Short epitope-based synthetic peptides for serodiagnosis of human strongyloidiasis.

Feliciano Nágilla D, Ribeiro Vanessa S, Gonzaga Henrique T, Santos Fabiana A A, Fujimura Patricia T, Goulart Luiz R, Costa-Cruz Julia M

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

Strongyloidiasis is one of the major intestinal infections in humans, and a neglected tropical disease whose diagnosis still poses a challenge. We hypothesized that diagnostic tests based on short peptides containing major epitopes may represent a promising strategy to improve strongyloidiasis detection due to reduced cross-reactivity and higher sensitivity. Our aim was to evaluate two synthetic peptides selected by phage display (C10 and D3) as potential tools for serodiagnosis of strongyloidiasis, and to predict their putative antigen target. To investigate their diagnostic potential, we have tested different panels of serum samples (n=120) by enzyme linked immunosorbent assay (ELISA) to detect specific IgG, and their diagnostic parameters were calculated. Similarities with proteins from Strongyloides stercoralis were searched and conformational epitopes were predicted and aligned to known protein structures. Both C10 and D3 achieved sensitivity of 95%, and specificities were 89.2% and 92.5%, respectively. D3 presented the highest diagnostic efficiency (93.3%). Epitope prediction for both C10 and D3 led to the alignment with the cytochrome c oxidase subunit 1 structure. In brief, we propose two synthetic peptides as new biomarkers for serodiagnosis of strongyloidiasis, which can be promptly used for ELISA and in future field sensor platforms.

Для цитирования: Feliciano Nágilla D, Ribeiro Vanessa S, Gonzaga Henrique T, Santos Fabiana A A, Fujimura Patricia T, Goulart Luiz R, Costa-Cruz Julia M. Short epitope-based synthetic peptides for serodiagnosis of human strongyloidiasis.. Immunology letters. 2016. DOI: 10.1016/j.imlet.2016.03.002.

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