Self-amplifying mRNA vaccine cocktail against Staphylococcus aureus: A multi-epitope immunoinformatics and structural...

Area of Science:

• Vaccinology
• Computational Biology
• Infectious Disease

Background:

• Staphylococcus aureus (S. aureus) is a major global health concern with no existing human vaccine.
• Urgent need for non-antibiotic prophylactic strategies against invasive S. aureus infections.

Purpose of the Study:

• To design and computationally evaluate a bivalent self-amplifying mRNA (saRNA) vaccine cocktail targeting key S. aureus virulence factors.
• To assess the safety, stability, and immunogenic potential of novel saRNA vaccine candidates.

Main Methods:

• Utilized immunoinformatics, structural bioinformatics, and molecular simulations to identify immunodominant epitopes.
• Designed two saRNA candidates (SaBVax807, SaTVax876) and validated binding interactions using molecular docking and dynamics.
• Performed codon optimization and comprehensive in silico safety and immunogenicity assessments.

Main Results:

• Developed two saRNA vaccine candidates, SaBVax807 and SaTVax876, targeting S. aureus ClfA, Hly, and SraP antigens.
• Computational analyses indicated favorable safety, structural stability, and predicted immunogenicity for the saRNA cocktail.
• Population coverage analysis suggested global applicability for SaTVax876.

Conclusions:

• The designed saRNA vaccine cocktail demonstrates promising safety and immunogenic profiles against S. aureus.
• This study provides a strong computational foundation for advancing these candidate vaccines towards preclinical and clinical development.
• Further investigation is warranted to validate the efficacy of these novel S. aureus vaccines.