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Design of Broadly Cross-Reactive M Protein-Based Group A Streptococcal Vaccines
Michelle P Aranha1,2, Thomas A Penfound3, Sanaz Salehi3
1Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN; maranha@utk.edu smithjc@ornl.gov jbdale@uthsc.edu.
Abstract:
Group A streptococcal infections are a significant cause of global morbidity and mortality. A leading vaccine candidate is the surface M protein, a major virulence determinant and protective Ag. One obstacle to the development of M protein-based vaccines is the >200 different M types defined by the N-terminal sequences that contain protective epitopes. Despite sequence variability, M proteins share coiled-coil structural motifs that bind host proteins required for virulence. In this study, we exploit this potential Achilles heel of conserved structure to predict cross-reactive M peptides that could serve as broadly protective vaccine Ags. Combining sequences with structural predictions, six heterologous M peptides in a sequence-related cluster were predicted to elicit cross-reactive Abs with the remaining five nonvaccine M types in the cluster. The six-valent vaccine elicited Abs in rabbits that reacted with all 11 M peptides in the cluster and functional opsonic Abs against vaccine and nonvaccine M types in the cluster. We next immunized mice with four sequence-unrelated M peptides predicted to contain different coiled-coil propensities and tested the antisera for cross-reactivity against 41 heterologous M peptides. Based on these results, we developed an improved algorithm to select cross-reactive peptide pairs using additional parameters of coiled-coil length and propensity. The revised algorithm accurately predicted cross-reactive Ab binding, improving the Matthews correlation coefficient from 0.42 to 0.74. These results form the basis for selecting the minimum number of N-terminal M peptides to include in potentially broadly efficacious multivalent vaccines that could impact the overall global burden of group A streptococcal diseases.
Insights
Developing broadly protective Group A Streptococcus vaccines is challenging due to M protein diversity. This study predicts cross-reactive M peptides using conserved structural motifs, improving vaccine design for global health.
Area of Science:
- Microbiology
- Immunology
- Vaccine Development
Background:
- Group A Streptococcus causes significant global morbidity and mortality.
- The M protein is a key virulence factor and vaccine target, but its >200 types hinder vaccine development.
- M proteins share conserved structural motifs despite sequence variability.
Purpose of the Study:
- To predict cross-reactive M protein peptides for broadly protective vaccines.
- To exploit conserved coiled-coil structural motifs for vaccine antigen design.
- To develop and refine an algorithm for selecting optimal cross-reactive peptide pairs.
Main Methods:
- Combined sequence and structural predictions to identify cross-reactive M peptides.
- Vaccinated rabbits and mice with selected M peptides and tested antisera cross-reactivity.
- Developed and validated an improved algorithm incorporating coiled-coil length and propensity.
Main Results:
- A six-valent vaccine candidate elicited cross-reactive antibodies against 11 M types.
- An improved algorithm significantly enhanced prediction accuracy for cross-reactive antibody binding (MCC from 0.42 to 0.74).
- Identified a minimal set of N-terminal M peptides for potential multivalent vaccines.
Conclusions:
- Conserved M protein structures can be exploited to design broadly protective vaccine antigens.
- An improved algorithm enhances the selection of cross-reactive peptides for multivalent vaccines.
- This approach could reduce the global burden of Group A Streptococcus infections.
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