Antigen discovery by bioinformatics analysis and peptide microarray for the diagnosis of cystic echinococcosis.

Background Cystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato, is a neglected zoonosis. Its diagnosis relies on imaging, supported by serology, while only imaging is useful for staging and follow-up. Since diagnostic tools and expertise are not widely available, new accurate an...

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Bibliographic Details
Published in:PLOS Neglected Tropical Diseases
Main Authors: Gherard Batisti Biffignandi, Ambra Vola, Davide Sassera, Saeid Najafi-Fard, Maria Angeles Gomez Morales, Enrico Brunetti, Antonella Teggi, Delia Goletti, Linda Petrone, Francesca Tamarozzi
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2023
Subjects:
Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Arctic
Online Access:https://doi.org/10.1371/journal.pntd.0011210
https://doaj.org/article/7bca9904cae24f34877312d6275a9dd0
Description
Summary:Background Cystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato, is a neglected zoonosis. Its diagnosis relies on imaging, supported by serology, while only imaging is useful for staging and follow-up. Since diagnostic tools and expertise are not widely available, new accurate and easily implementable assays for the diagnosis and follow-up of CE are highly needed. Methodology/principal findings We aimed to identify new E. granulosus antigens through a bioinformatics selection applied to the parasite genome, followed by peptide microarray screening and validation in ELISA, using independent panels of sera from patients with hepatic CE and clinically relevant controls. From 950 proteins selected in silico, 2,379 peptides were evaluated by microarray for IgG reactivity and eight candidates selected for validation. Reactivity to one peptide was significantly higher in the CE group (p = 0.044), but had suboptimal diagnostic accuracy. Conclusions/significance Here we performed bioinformatics analysis and peptide microarray for antigen discovery, useful for the diagnosis of CE. Eight candidates were selected and validated. Reactivity to one peptide associated to CE but had suboptimal diagnostic accuracy. Importantly, the database developed in this study may be used to identify other antigenic candidates for CE diagnosis and follow-up.

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