title: Immunosignatures can predict vaccine efficacy.
abstract: The development of new vaccines would be greatly facilitated by having effective methods to predict vaccine performance. Such methods could also be helpful in monitoring individual vaccine responses to existing vaccines. We have developed "immunosignaturing" as a simple, comprehensive, chip-based method to display the antibody diversity in an individual on peptide arrays. Here we examined whether this technology could be used to develop correlates for predicting vaccine effectiveness. By using a mouse influenza infection, we show that the immunosignaturing of a natural infection can be used to discriminate a protective from nonprotective vaccine. Further, we demonstrate that an immunosignature can determine which mice receiving the same vaccine will survive. Finally, we show that the peptides comprising the correlate signatures of protection can be used to identify possible epitopes in the influenza virus proteome that are correlates of protection.
authors.affiliation: Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, AZ 85287.
authors.forename: Joseph Barten
authors.initials: JB
authors.lastname: Legutki
authors.forename: Stephen Albert
authors.initials: SA
authors.lastname: Johnston
mesh_terms: D000818:Animals; D055808:Drug Discovery / Q000379:methods; D000939:Epitopes / Q000235:genetics / Q000276:immunology; D005260:Female; D056724:Immunity, Humoral / Q000187:drug effects*; D053118:Influenza A Virus, H1N1 Subtype / Q000276:immunology*; D007252:Influenza Vaccines / Q000494:pharmacology* / Q000592:standards*; D051379:Mice; D008807:Mice, Inbred BALB C; D046228:Microarray Analysis / Q000379:methods*; D010455:Peptides / Q000276:immunology; D011237:Predictive Value of Tests
chemical_list: D000939:Epitopes; D007252:Influenza Vaccines; D010455:Peptides
keywords: antibody repertoire; epitope prediction; immune profile; peptide microarray; systems vaccinology