bioRxivBioinformaticsPreprint
Immunoinformatics design of a novel multiepitope vaccine candidate against Non-typhoidal Salmonellosis caused by Salmonella Kentucky using outer membrane proteins A, C, and F
Elayoni Emmanuel IgomuiD, Paul Habila MammaniD, Jibril AdamuiD, Maryam MuhammadiD, Abubakar Ojone WoziriiD, Manasa Y. Sugun, John A. Benshak, Kingsley Chineto Anyika, Rhoda Sam-Gyang, David Odion EhiziboloiD
Abstract
The global public health risk posed by Salmonella Kentucky, particularly due to the dissemination of antimicrobial resistance genes in human and animal populations, is rising. This serovar, widespread in Africa, has emerged as a notable cause of non-typhoidal gastroenteritis in humans. In this study, we utilized a bioinformatics approach to design a peptide-based vaccine targeting epitopes from the outer membrane proteins A, C, and F of Salmonella Kentucky, with the fliC protein from Salmonella Typhimurium serving as an adjuvant. Through this approach, we identified 14 CD8+ and 7 CD4+ T-cell epitopes, which are predicted to be restricted by various MHC class I and MHC class II alleles. When used in vaccine formulations, the predicted epitopes are expected to achieve a population coverage of 94.91%. Additionally, we identified seven highly immunogenic linear B-cell epitopes and three conformational B-cell epitopes. These T-cell and B-cell epitopes were then linked using appropriate linkers to create a multi-epitope vaccine (MEV). To enhance the immunogenicity of the peptide construct, the fliC protein from Salmonella Typhimurium was included at the N-terminal as an adjuvant. The resulting MEV construct demonstrated high structural quality and favorable physicochemical properties. Molecular docking studies with Toll-like receptors 1, 2, 4, and 5, followed by molecular dynamic simulations, suggested that the vaccine-receptor complexes are energetically feasible, stable, and robust. Immune simulation results showed that the MEV elicited significant responses, including IgG, IgM, CD8+ T-cells, CD4+ T-cells, and various cytokines (IFN-{gamma}, TGF-{beta}, IL-2, IL-10, and IL-12), along with a noticeable reduction in antigen levels. Despite these promising in silico results, further validation through preclinical and clinical trials is necessary to confirm the vaccines protective efficacy and safety.
- organism: bacteria (other)
- assay: proteomics
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 1
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