Bioinformatics analysis, immunogenicity, and therapeutic efficacy evaluation of a novel multi-stage, multi-epitope DNA vaccine for tuberculosis.

BACKGROUND

The global tuberculosis (TB) epidemic remains severe. We aimed to develop a therapeutic DNA vaccine as an adjunct to TB treatment to improve efficacy.

METHODS

The W545 DNA vaccine was constructed using the M. tuberculosis (MTB) antigens Ag85A and Rv1419, integrated with epitopes from the Ag85B, Rv3407, and Rv2628. Bioinformatics tools were used to predict and analyze the physicochemical properties, structure modelling and molecular docking, epitopes (HTL, CTL, and B-cell), safety, population coverage, and simulated immunization of the W545 vaccine protein. Animal studies were then performed to evaluate the vaccine's immunogenicity by measuring Th1-type immune responses (IFN-γ, IL-2) and IgG antibody levels, as well as its therapeutic efficacy in reducing lung inflammation and pathological damage in a murine TB model.

RESULTS

The vaccine protein is a 70 kDa hydrophilic protein with a half-life of 30 h, an instability index of 43.33, and strong affinity to Toll-like receptor (TLR) 2 and TLR4. It contains 397 helper T cell (HTL) epitopes, 248 cytotoxic T cell (CTL) epitopes, and 27 B cell epitopes, with broad population coverage (global: 99.7 %, Chinese: 97.6 %). The W545 vaccine significantly induced a Th1-type immune response, producing high levels of IFN-γ (5.38 pg/ml ± 0.89 pg/ml) and IgG antibodies (OD450: 0.13 ± 0.06). It also reduced the lung weight index, tissue lesions, and severity in the murine TB model.

CONCLUSION

The W545 DNA vaccine effectively induces a Th1-type immune response, alleviates pathological damage, and demonstrates potential as an immunotherapeutic agent. Bioinformatics analysis provides valuable guidance for vaccine design and optimization.