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Published on: August 21, 2019
Design of Multi-Epitope Vaccine for Staphylococcus saprophyticus: Pan-Genome and Reverse Vaccinology Approach
Maha Yousaf1, Asad Ullah2, Nida Sarosh1
1Department of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Insights
A novel multi-epitope vaccine construct was developed against Staphylococcus saprophyticus, a common cause of cystitis. Computational methods identified 11 potent epitopes targeting 99.74% of the global population for enhanced vaccine efficacy.
Area of Science:
- Microbiology and Immunology
- Computational Biology and Bioinformatics
- Vaccine Development
Background:
- Staphylococcus saprophyticus is a primary cause of urinary tract infections, particularly cystitis, in young women.
- Rising antibiotic resistance necessitates alternative prevention strategies like vaccination.
- Computational approaches offer enhanced specificity, efficiency, and safety in vaccine design.
Purpose of the Study:
- To design a novel, computationally-aided multi-epitope vaccine construct against Staphylococcus saprophyticus.
- To identify and validate immunogenic epitopes with broad population coverage and favorable immunological properties.
Main Methods:
- Pangenome and subtractive proteomic analysis of five S. saprophyticus strains to identify vaccine targets.
- In silico screening of potential epitopes for antigenicity, allergenicity, solubility, toxicity, and MHC binding (DRB*0101).
- Construction and in silico validation of a multi-epitope vaccine construct, including stability, immunogenicity simulation, and E. coli expression potential.
Main Results:
- Identified 11 potential epitopes with high population coverage (99.74%) and favorable immunological characteristics.
- The developed multi-epitope vaccine construct demonstrated strong binding to MHC-I and MHC-II receptors.
- In silico simulations predicted robust antibody production (IgM + IgG >11,500) within 5-15 days post-vaccination.
Conclusions:
- The computationally designed multi-epitope vaccine construct shows significant promise for preventing Staphylococcus saprophyticus infections.
- The vaccine's predicted efficacy, safety profile, and potential for expression warrant further experimental validation.
- This study highlights the power of in silico methods in accelerating vaccine development against challenging pathogens.
Abstract:
Staphylococcus saprophyticus is a Gram-positive coccus responsible for the occurrence of cystitis in sexually active, young females. While effective antibiotics against this organism exist, resistant strains are on the rise. Therefore, prevention via vaccines appears to be a viable solution to address this problem. In comparison to traditional techniques of vaccine design, computationally aided vaccine development demonstrates marked specificity, efficiency, stability, and safety. In the present study, a novel, multi-epitope vaccine construct was developed against S. saprophyticus by targeting fully sequenced proteomes of its five different strains, which were examined using a pangenome and subtractive proteomic strategy to characterize prospective vaccination targets. The three immunogenic vaccine targets which were utilized to map the probable immune epitopes were verified by annotating the entire proteome. The predicted epitopes were further screened on the basis of antigenicity, allergenicity, water solubility, toxicity, virulence, and binding affinity towards the DRB*0101 allele, resulting in 11 potential epitopes, i.e., DLKKQKEKL, NKDLKKQKE, QDKLKDKSD, NVMDNKDLE, TSGTPDSQA, NANSDGSSS, GSDSSSSNN, DSSSSNNDS, DSSSSDRNN, SSSDRNNGD, and SSDDKSKDS. All these epitopes have the efficacy to cover 99.74% of populations globally. Finally, shortlisted epitopes were joined together with linkers and three different adjuvants to find the most stable and immunogenic vaccine construct. The top-ranked vaccine construct was further scrutinized on the basis of its physicochemical characterization and immunological profile. The non-allergenic and antigenic features of modeled vaccine constructs were initially validated and then subjected to docking with immune receptor major histocompatibility complex I and II (MHC-I and II), resulting in strong contact. In silico cloning validations yielded a codon adaptation index (CAI) value of 1 and an ideal percentage of GC contents (46.717%), indicating a putative expression of the vaccine in E. coli. Furthermore, immune simulation demonstrated that, after injecting the proposed MEVC, powerful antibodies were produced, resulting in the sharpest peaks of IgM + IgG formation (>11,500) within 5 to 15 days. Experimental testing against S. saprophyticus can evaluate the safety and efficacy of these prophylactic vaccination designs.
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