Evaluation of the consistence between the results of immunoinformatics predictions and real-world animal experiments of a new tuberculosis vaccine MP3RT

• DOI: 10.3389/fcimb.2022.1047306
• Publication Date: 2022-11-02T07:18:26Z
• Authors: Peng Cheng; Yong Xue; Jie Wang; Zaixing Jia; Liang Wang; Wenping Gong
• Keywords: Antigenicity; Peptide vaccine; Tuberculosis vaccines

Background Our previous study developed a novel peptide-based vaccine, MP3RT, to fight against tuberculosis (TB) infection in mouse model. However, the consistency between immunoinformatics predictions and results of real-world animal experiments on MP3RT vaccine remains unclear. Method In this study, we predicted antigenicity, immunogenicity, physicochemical parameters, secondary structure, tertiary structure using bioinformatics technologies. The immune response properties were then C-ImmSim server. Finally, humanized mice used verify characteristics humoral cellular responses induced by vaccine. Results is non-toxic non-allergenic with an antigenicity index 0.88 immunogenicity 0.61, respectively. showed that contained 53.36% α-helix favored region accounted for 98.22% optimized structure. binding affinities human leukocyte antigen (HLA)-DRB1*01:01 allele, toll-like receptor-2 (TLR-2), TLR-4 receptors -1234.1 kcal/mol, -1066.4 -1250.4 server could stimulate T B cells produce responses, such as high levels IgM IgG antibodies, IFN-γ, TNF-α, IL-2 cytokines. from IgG2a antibodies IFN-γ + lymphocytes. Furthermore, IL-2, IL-6 cytokines immunized significantly higher than those control group. Conclusion highly antigenic immunogenic potential can effectively induce Th1-type silico analysis experiments. This lays foundation evaluating value computational tools immunoinformatic techniques reverse vaccinology research.