生物信息学
诺如病毒
生物
病毒学
表位
计算生物学
体内
免疫学
遗传学
抗原
病毒
基因
作者
Jingxuan Qiu,Yiwen Wei,Jiayi Shu,Wenjing Zheng,Yuxi Zhang,Junting Xie,Dong Zhang,Xiaochuan Luo,Xiulan Sun,Xin Wang,Sijie Wang,Xuanyi Wang,Tianyi Qiu
出处
期刊:Virology Journal
[BioMed Central]
日期:2025-05-27
卷期号:22 (1): 166-166
被引量:11
标识
DOI:10.1186/s12985-025-02796-6
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI