tetano
Editor, Senior Moderator
Proc Natl Acad Sci U S A. 2013 Oct 28. [Epub ahead of print]
Immunosignatures can predict vaccine efficacy.
Legutki JB, Johnston SA.
Source
Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, AZ 85287.
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.
KEYWORDS:
antibody repertoire, epitope prediction, immune profile, peptide microarray, systems vaccinology
PMID:
24167296
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24167296
Immunosignatures can predict vaccine efficacy.
Legutki JB, Johnston SA.
Source
Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, AZ 85287.
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.
KEYWORDS:
antibody repertoire, epitope prediction, immune profile, peptide microarray, systems vaccinology
PMID:
24167296
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24167296