Immunosignatures can predict vaccine efficacy

Joseph Barten Legutki, Stephen Johnston

Research output: Contribution to journalArticle

28 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)18614-18619
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume110
Issue number46
DOIs
StatePublished - Nov 12 2013

Keywords

  • Antibody repertoire
  • Epitope prediction
  • Immune profile
  • Peptide microarray
  • Systems vaccinology

ASJC Scopus subject areas

  • General

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