An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus

Background: TSST-1 is a secretory and pyrogenic superantigen that is being responsible for staphylococcal mediated food poisoning and associated clinical manifestations. It is one of the main targets for the construction of vaccine candidates against Staphylococcus aureus. Most of the vaccines have met failure due to adverse reactions and toxicity reported during late clinical studies. To overcome this, an immunoinformatics approach is being used in the present study for the design of a multi-epitope vaccine to circumvent the problems related to toxicity and allergenicity.
Results: In this study, a multi-epitope vaccine against Staphylococcus aureus targeting TSST-1 was designed through
an immunoinformatics approach. B cell and T cell epitopes were predicted in silico and mapped with linkers to avoid junctional immunogenicity and to ensure the efficient presentation of exposed epitopes through HLA. βdefensin and PADRE were adjusted at the N-terminal end of the final vaccine as adjuvants. Physiochemical parameters, antigenicity, and allergenicity of the vaccine construct were determined with the help of online servers. The three-dimensional structure of the vaccine protein was predicted and validated with various tools. The affinity
of the vaccine with TLR-3 was studied through molecular docking studies and the interactions of two proteins were
visualized using LigPlot+ . The vaccine was successfully cloned in silico into pET-28a (+) for efficient expression in E.
coli K12 system. Population coverage analysis had shown that the vaccine construct can cover 83.15% of the global
population. Immune simulation studies showed an increase in the antibody levels, IL-2, IFN-γ, TGF-β, B cell, and T
cell populations and induced primary, secondary, and tertiary immune responses.
Conclusion: Multi-epitope vaccine designed through a computational approach is a non-allergic and non-toxic
antigen. Preliminary