Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a significant global health threat. However, the licensed Bacille Calmette-Guérin- (BCG) vaccine provides only limited protection in adults, underscoring the urgent need for more effective preventive strategies. Recent studies have shown that multi-epitope DNA vaccines are superior to traditional vaccines in terms of immunogenicity, safety and stability. In this study, we develop a multi-epitope DNA vaccine that contains CD8 + T-cell epitopes, CD4 + T-cell epitopes, and B-cell epitopes using bioinformatics tools. These epitopes are derived from three genome-encoded proteins, ESAT-6, Rv2660c, and RpfB, which exhibit stage-specific immunodominance in the early, resting, and convalescent stages of MTB infection. Using reverse vaccinology and computational immunomodulation, we demonstrate that the multiepitope vaccine increases antigen-specific antibody titres, activates CD8 + T and CD4 + T cells, and enhances IFN-γ secretion. In vitro validation studies in HEK293T cells confirm high-yield expression of multi-epitope-encoded antigens, whereas in vivo immunization experiments reveal significant expansion of NK cells and Th1-polarized lymphocytes, with concomitant upregulation of pro-inflammatory mediators. Collectively, these results highlight the potent activation of adaptive immunity through Th1-driven mechanisms and IFN-γ-mediated mycobacterial clearance, which are crucial for defending against MTB.
Keywords: (MTB); DNA vaccine; bioinformatics; reverse vaccinology; tuberculosis (TB).