Abstract
Background: Norovirus (NoVs) is a foodborne pathogen that causes acute gastroenteritis. The diversity of its principal antigenic protein poses a significant challenge to vaccine development and the prevention of large-scale outbreaks globally. Currently, no licensed vaccines against norovirus have been approved. Methods: We developed a novel pipeline that integrates multiple bioinformatics tools to design broad-spectrum vaccines against NoVs. Specifically, broad-spectrum T-cell epitope vaccines were designed based on consensus sequences and optimized epitope screening, while broad-spectrum B-cell spatial epitope vaccines were constructed using high-throughput antigenicity calculations and epitope mapping. Results: This pipeline underwent rigorous validation at three levels: firstly, In silico validation: Analysis of properties and structures demonstrated the appropriateness of amino acid composition and the structural integrity of the vaccine sequences. Secondly, theoretical assessment: Evaluation of human leukocyte antigen (HLA) subtype and antigenicity coverage indicated a broad theoretical protective spectrum for the designed vaccine immunogens. Furthermore, in silico simulation confirmed their ability to elicit an immune response. Finally, animal-level validation: Experiments in mice showed that both vaccine immunogens stimulated high levels of IgG and IgA. Notably, Vac-B induced a strong IgG response against GII.2 and a robust IgA response against GII.17, comparable to the immune response elicited by the wild-type NoV non-replicating virus-like particle (VLP) protein group. Conclusions: Both in silico and in vivo experimental findings suggest that the proposed pipeline and vaccine immunogens could serve as valuable theoretical guidance for the development of multi-epitope vaccines against NoVs.
Author supplied keywords
Cite
CITATION STYLE
Qiu, J., Wei, Y., Shu, J., Zheng, W., Zhang, Y., Xie, J., … Qiu, T. (2025). Integrated in-silico design and in vivo validation of multi-epitope vaccines for norovirus. Virology Journal , 22(1). https://doi.org/10.1186/s12985-025-02796-6
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.