Bioinformatics analysis and consistency verification of a novel tuberculosis vaccine candidate HP13138PB

Front Immunol. 2023 Jan 27:14:1102578. doi: 10.3389/fimmu.2023.1102578. eCollection 2023.

Abstract

Background: With the increasing incidence of tuberculosis (TB) and the shortcomings of existing TB vaccines to prevent TB in adults, new TB vaccines need to be developed to address the complex TB epidemic.

Method: The dominant epitopes were screened from antigens to construct a novel epitope vaccine termed HP13138PB. The immune properties, structure, and function of HP13138PB were predicted and analyzed with bioinformatics and immunoinformatics. Then, the immune responses induced by the HP13138PB were confirmed by enzyme-linked immunospot assay (ELISPOT) and Th1/Th2/Th17 multi-cytokine detection kit.

Result: The HP13138PB vaccine consisted of 13 helper T lymphocytes (HTL) epitopes, 13 cytotoxic T lymphocytes (CTL) epitopes, and 8 B-cell epitopes. It was found that the antigenicity, immunogenicity, and solubility index of the HP13138PB vaccine were 0.87, 2.79, and 0.55, respectively. The secondary structure prediction indicated that the HP13138PB vaccine had 31% of α-helix, 11% of β-strand, and 56% of coil. The tertiary structure analysis suggested that the Z-score and the Favored region of the HP13138PB vaccine were -4.47 88.22%, respectively. Furthermore, the binding energies of the HP13138PB to toll-like receptor 2 (TLR2) was -1224.7 kcal/mol. The immunoinformatics and real-world experiments showed that the HP13138PB vaccine could induce an innate and adaptive immune response characterized by significantly higher levels of cytokines such as interferon-gamma (IFN-γ), tumor necrosis factor-α (TNF-α), interleukin-4 (IL-4), and IL-10.

Conclusion: The HP13138PB is a potential vaccine candidate to prevent TB, and this study preliminarily evaluated the ability of the HP13138PB to generate an immune response, providing a precursor target for developing TB vaccines.

Keywords: bioinformatics; epitope vaccines; immune responses; immunoinformatics; tuberculosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Cytokines / metabolism
  • Epitopes, B-Lymphocyte
  • Epitopes, T-Lymphocyte
  • Humans
  • T-Lymphocytes, Cytotoxic
  • Tuberculosis Vaccines*
  • Tuberculosis* / prevention & control

Substances

  • Tuberculosis Vaccines
  • Epitopes, T-Lymphocyte
  • Epitopes, B-Lymphocyte
  • Cytokines

Grants and funding

This study was funded by the Beijing Municipal Science & Technology Commission (Grant No. 7212103) and National Key R&D Program of China (Grant Nos. 2022YFA1303500-003).