All the time, echinococcosis is a global zoonotic disease which seriously endangers public health all over the world. In order to speed up the development process of anti-Echinococcus granulosus vaccine, at the same time, it can also save economic cost. In this study, immunoinformatics tools and molecular docking methods were used to predict and screen the antigen epitopes of Echinococcus granulosus, to design a multi-epitope vaccine containing B- and T-cell epitopes. The multi-epitope vaccine could activate B lymphocytes to produce specific antibodies theoretically, which could protect the human body against Echinococcus granulosus infection. It also could activate T lymphocytes and clear the infected parasites in the body. In this study, four CD8+ T-cell epitopes, three CD4+ T-cell epitopes and four B-cell epitopes of Protein EgTeg were identified by immunoinformatics methods. Meanwhile, three CD8+ T-cell epitopes, two CD4+ T-cell epitopes and four B-cell epitopes of Protein EgFABP1 were identified. We constructed the multi-epitope vaccine using linker proteins. The study based on the traditional methods of antigen epitope prediction, further optimized the prediction results combined with molecular docking technology and improved the precision and accuracy of the results. Finally, in vivo and in vitro experiments had verified that the vaccine designed in this study had good antigenicity and immunogenicity.

Brucella is a typical facultative intracellular bacterium that can cause zoonotic infections. For Brucella, it is difficult to eliminate with current medical treatment. Therefore, a multi-epitope vaccine (MEV) should be designed to prevent Brucella infection. For this purpose, we applied the reverse vaccinology approach from Omp10, Omp25, Omp31 and BtpB. Finally, we obtained 13 cytotoxic T lymphocyte (CTL) epitopes, 17 helper T lymphocyte (HTL) epitopes, 9 linear B cell epitopes, and 2 conformational B cell epitopes for further study. To keep the protein folded normally, we linked AAY, GPGPG, and KK to CTL epitopes, HTL epitopes, and B cell epitopes, respectively. The N-terminal of the vaccine peptide is supplemented with appropriate adjuvants to enhance immunogenicity. To evaluate its immunogenicity, stability, safety, and feasibility, a final MEV containing 806 amino acids was constructed by linking linkers and adjuvants. In addition, molecular docking and molecular dynamics simulations were performed to verify the affinity and stability of the MEV-TLR4. Then, codon adaptation and in silico cloning studies were carried out to identify the possible codons for expressing the MEV. In animal experiments, the results demonstrated that the MEV had high immunogenicity. Collectively, this study provided a theoretical basis for the development of a Brucella vaccine.

The development of an effective multivalent vaccine against SARS-CoV-2 variants is an important means to improve the global public health situation caused by COVID-19. In this study, we identified the antigen epitopes of the main global epidemic SARS-CoV-2 and mutated virus strains using immunoinformatics approach, and screened out 8 cytotoxic T lymphocyte epitopes (CTLEs), 17 helper T lymphocyte epitopes (HTLEs), 9 linear B-cell epitopes (LBEs) and 4 conformational B-cell epitopes (CBEs). The global population coverage of CTLEs and HTLEs was 93.16% and 99.9% respectively. These epitopes were spliced together by corresponding linkers and recombined into multivalent vaccine. In silico tests, the vaccine protein was a non-allergen and the docking with TLR-3 molecule showed a strong interaction. The results of immune simulation showed that the vaccine may be helpful to initiate both cellular and humoral immunity against all VOC. The optimistic immunogenicity of the vaccine was confirmed in vivo and in vitro finally. Therefore, our vaccine may have potential protection against SARS-CoV-2 and its variants.

In view of the high infection rate of Helicobacter pylori, a safe and effective vaccine is urgently needed. Recent trends in vaccine design have shifted toward safe and specific epitope‐based vaccines. In this study, by using different immunoinformatics approaches, a total of eight linear B cell epitopes, four HTL and three CTL epitopes of FlaA and UreB proteins of H. pylori G27 strain were screened out, we also predicted the conformational epitopes of the two proteins. Then, the dominant epitopes were sequentially linked by appropriate linkers, and the cytotoxic T lymphocyte–associated antigen 4 extracellular domain was attached to the N‐terminal of the epitope sequence. Meanwhile, molecular docking, molecular dynamics simulations and principal component analysis were performed to show that the multi‐epitope vaccine structure had strong interactions with B7 (B7‐1, B7‐2) and Toll‐like receptors (TLR‐2, ‐4). Eventually, the effectiveness of the vaccine was validated using in silico cloning. These analyses suggested that the designed vaccine could target antigen‐presenting cells and had high potency against H. pylori, which could provide a reference for the future development of efficient H. pylori vaccines.

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.