RESUMEN
Prion diseases represent a novel form of infectivity caused by the propagated misfolding of a self-protein (PrP(C)) into a pathological, infectious conformation (PrP(Sc)). Efforts to develop a prion vaccine have been complicated by challenges and potential dangers associated with induction of strong immune responses to a self protein. There is considerable value in the development of vaccines that are specifically targeted to the misfolded conformation. Conformation specific immunotherapy depends on identification and optimization of disease-specific epitopes (DSEs)(1) that are uniquely exposed upon misfolding. Previously, we reported development of a PrP(Sc)-specific vaccine through empirical expansions of a YYR DSE. Here we describe optimization of two additional prion DSEs, YML of ß-sheet 1 and a rigid loop (RL) linking ß-sheet 2 to α-helix 2, through in silico predictions of B cell epitopes and further translation of these epitopes into PrP(Sc)-specific vaccines. The optimized YML and RL vaccines retain their properties of immunogenicity, specificity and safety when delivered individually or in a multivalent format. This investigation supports the utility of combining DSE prediction models with algorithms to infer logical peptide expansions to optimize immunogenicity. Incorporation of optimized DSEs into established vaccine formulation and delivery strategies enables rapid development of peptide-based vaccines for protein misfolding diseases.
