Development and evaluation of a multi-epitope subunit vaccine against group B Streptococcus infection.
Yumin ZhangSong LiangShiyu ZhangShidan ZhangYong YuHuochun YaoYongjie LiuWei ZhangGuangjin LiuPublished in: Emerging microbes & infections (2022)
Streptococcus agalactiae (Group B Streptococcus , GBS) is a multi-host pathogen, even causing life-threatening infections in newborns. Vaccination with GBS crossed serotypes vaccine is one of the best options for long-term infection control. Here we built a comprehensive in silico epitope-prediction workflow pipeline to design a multivalent m ultiepitope-based subunit v accine containing 11 epitopes against S treptococcus a galactiae (MVSA). All epitopes in MVSA came from the proteins which were antigenic-confirmed, virulent-associated, surface-exposed and conserved in ten GBS serotypes. The in-silico analysis showed MVSA had potential to evoke strong immune responses and enable worldwide population coverage. To validate MVSA protection efficacy against GBS infection, immune protection experiments were performed in a mouse model. Importantly, MVSA induced a high titre of antibodies, significant proliferation of mice splenocytes and elicited strong protection against lethal-dose challenge with a survival rate of 100% in mice after three vaccinations. Meanwhile, the polyclonal antibody against MVSA did not only inhibit for growth of GBS from six crucial serotypes in vitro, but also protect 100% naive mice from GBS lethal challenge. These active and passive immunity assay results suggested that MVSA could therefore be an efficacious multi-epitope vaccine against GBS infection.
Keyphrases
- candida albicans
- immune response
- mouse model
- biofilm formation
- high fat diet induced
- molecular docking
- type diabetes
- pregnant women
- transcription factor
- signaling pathway
- high throughput
- pseudomonas aeruginosa
- toll like receptor
- escherichia coli
- adipose tissue
- inflammatory response
- hiv infected
- single cell
- drug induced
- low birth weight
- protein kinase
- diabetic rats
- molecular dynamics simulations