Characterization of exclusively non-commensal Neisseria gonorrhoeae pangenome to prioritize globally conserved and thermodynamically stable vaccine candidates using immune-molecular dynamic simulations

Microb Pathog. 2023 Dec:185:106439. doi: 10.1016/j.micpath.2023.106439. Epub 2023 Nov 7.

Abstract

Neisseria gonorrhoeae (Ngo) has emerged as a global threat leading to one of the most common sexually transmitted diseases in the world. It has also become one of the leading antimicrobial resistant organisms, resulting in fewer treatment options and an increased morbidity. Therefore, in recent years, there has been an increased focus on the development of new treatments and preventive strategies to combat its infection. In this study, we have combined the most conserved epitopes from the completely assembled strains of Ngo to develop a universal and a thermodynamically stable vaccine candidate. For our vaccine design, the epitopes were selected for their high immunogenicity, non-allergenicity and non-cytotoxicity, making them the ideal candidates for vaccine development. For the screening process, several reverse vaccinology tools were employed to rigorously extract non-homologous and immunogenic epitopes from the selected proteins. Consequently, a total number of 3 B-cell epitopes and 6 T-cell epitopes were selected and joined by multiple immune-modulating adjuvants and linkers to generate a promiscuous immune response. Additionally, the stability and flexible nature of the vaccine construct was confirmed using various molecular dynamic simulation tools. Overall, the vaccine candidate showed promising binding affinity to various HLA alleles and TLR receptors; however, further studies are needed to assess its efficacy in-vivo. In this way, we have designed a multi-subunit vaccine candidate to potentially combat and control the spread of N. gonorrhoeae.

Keywords: Antimicrobial resistance; Multi-subunit vaccine; Neisseria gonorrhoeae; Pan-genome analysis; Reverse vaccinology; Sexually transmitted diseases.

MeSH terms

  • Computational Biology / methods
  • Epitopes, B-Lymphocyte
  • Epitopes, T-Lymphocyte
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation*
  • Neisseria gonorrhoeae* / genetics
  • Vaccines, Subunit

Substances

  • Epitopes, B-Lymphocyte
  • Epitopes, T-Lymphocyte
  • Vaccines, Subunit