Abstract

Cystic Echinococcosis (CE) is caused by Echinococcus granulosus (Eg), which endangers the health of the intermediate host. Therefore, effective canid vaccines against Eg infection are urgently needed to reduce the incidence of this disease. In the present work, the aim was to predict epitopes in four vaccine candidate antigens (VCAs) in Eg as a basis to design a multi-epitope canine-directed vaccine. This vaccine is based on chitosan nanoparticles (CS-NPs) and is directed against Eg infection in the definitive host. The canine-directed vaccine was designed based on Eg antigens EgM9, Eg_10196, EgA31 and EgG1Y162. Several tools in online servers were used to predict VCAs information, which was combined with B cell, CTL and Th epitopes. Considering that acquiring experimental information in canids is difficult, and that it may be possible to perform future experiments in mice, we predicted both canine and murine T cell epitopes. The multi-epitope vaccine was synthetically prepared by ionic crosslinking method, and CS-NPs was used as adjuvant. The mice were immunized by oral gavage and laser scanning confocal microscopy was used to localize the fluorescein- labeled multi-epitope peptide in the intestinal tract. The final multi-epitope vaccine was construct consist of Co1 targeting peptide, four B-cell epitopes, four canine-directed CTL epitopes and four murine-directed Th epitopes. It has been proven experimentally by this research that multi-epitope antigen concentration merged with microfold cells was high in the CS-NPs vaccine group. The present bioinformatics study is a first step towards the construction of a canine-specific multiepitope vaccine against Eg with twelve predicted epitopes. CS-NPs is a potential adjuvant with relatively safe penetration enhancement delivery and a potent immunostimulant.

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