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Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays

BACKGROUND: Existing methods to measure influenza vaccine immunogenicity prohibit detailed analysis of epitope determinants recognized by immunoglobulins. The development of highly multiplex proteomics platforms capable of capturing a high level of antibody binding information will enable researcher...

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Autores principales: Price, Jordan V., Jarrell, Justin A., Furman, David, Kattah, Nicole H., Newell, Evan, Dekker, Cornelia L., Davis, Mark M., Utz, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3667171/
https://www.ncbi.nlm.nih.gov/pubmed/23734205
http://dx.doi.org/10.1371/journal.pone.0064555
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author Price, Jordan V.
Jarrell, Justin A.
Furman, David
Kattah, Nicole H.
Newell, Evan
Dekker, Cornelia L.
Davis, Mark M.
Utz, Paul J.
author_facet Price, Jordan V.
Jarrell, Justin A.
Furman, David
Kattah, Nicole H.
Newell, Evan
Dekker, Cornelia L.
Davis, Mark M.
Utz, Paul J.
author_sort Price, Jordan V.
collection PubMed
description BACKGROUND: Existing methods to measure influenza vaccine immunogenicity prohibit detailed analysis of epitope determinants recognized by immunoglobulins. The development of highly multiplex proteomics platforms capable of capturing a high level of antibody binding information will enable researchers and clinicians to generate rapid and meaningful readouts of influenza-specific antibody reactivity. METHODS: We developed influenza hemagglutinin (HA) whole-protein and peptide microarrays and validated that the arrays allow detection of specific antibody reactivity across a broad dynamic range using commercially available antibodies targeted to linear and conformational HA epitopes. We derived serum from blood draws taken from 76 young and elderly subjects immediately before and 28±7 days post-vaccination with the 2008/2009 trivalent influenza vaccine and determined the antibody reactivity of these sera to influenza array antigens. RESULTS: Using linear regression and correcting for multiple hypothesis testing by the Benjamini and Hochberg method of permutations over 1000 resamplings, we identified antibody reactivity to influenza whole-protein and peptide array features that correlated significantly with age, H1N1, and B-strain post-vaccine titer as assessed through a standard microneutralization assay (p<0.05, q <0.2). Notably, we identified several peptide epitopes that were inversely correlated with regard to age and seasonal H1N1 and B-strain neutralization titer (p<0.05, q <0.2), implicating reactivity to these epitopes in age-related defects in response to H1N1 influenza. We also employed multivariate linear regression with cross-validation to build models based on age and pre-vaccine peptide reactivity that predicted vaccine-induced neutralization of seasonal H1N1 and H3N2 influenza strains with a high level of accuracy (84.7% and 74.0%, respectively). CONCLUSION: Our methods provide powerful tools for rapid and accurate measurement of broad antibody-based immune responses to influenza, and may be useful in measuring response to other vaccines and infectious agents.
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spelling pubmed-36671712013-06-03 Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays Price, Jordan V. Jarrell, Justin A. Furman, David Kattah, Nicole H. Newell, Evan Dekker, Cornelia L. Davis, Mark M. Utz, Paul J. PLoS One Research Article BACKGROUND: Existing methods to measure influenza vaccine immunogenicity prohibit detailed analysis of epitope determinants recognized by immunoglobulins. The development of highly multiplex proteomics platforms capable of capturing a high level of antibody binding information will enable researchers and clinicians to generate rapid and meaningful readouts of influenza-specific antibody reactivity. METHODS: We developed influenza hemagglutinin (HA) whole-protein and peptide microarrays and validated that the arrays allow detection of specific antibody reactivity across a broad dynamic range using commercially available antibodies targeted to linear and conformational HA epitopes. We derived serum from blood draws taken from 76 young and elderly subjects immediately before and 28±7 days post-vaccination with the 2008/2009 trivalent influenza vaccine and determined the antibody reactivity of these sera to influenza array antigens. RESULTS: Using linear regression and correcting for multiple hypothesis testing by the Benjamini and Hochberg method of permutations over 1000 resamplings, we identified antibody reactivity to influenza whole-protein and peptide array features that correlated significantly with age, H1N1, and B-strain post-vaccine titer as assessed through a standard microneutralization assay (p<0.05, q <0.2). Notably, we identified several peptide epitopes that were inversely correlated with regard to age and seasonal H1N1 and B-strain neutralization titer (p<0.05, q <0.2), implicating reactivity to these epitopes in age-related defects in response to H1N1 influenza. We also employed multivariate linear regression with cross-validation to build models based on age and pre-vaccine peptide reactivity that predicted vaccine-induced neutralization of seasonal H1N1 and H3N2 influenza strains with a high level of accuracy (84.7% and 74.0%, respectively). CONCLUSION: Our methods provide powerful tools for rapid and accurate measurement of broad antibody-based immune responses to influenza, and may be useful in measuring response to other vaccines and infectious agents. Public Library of Science 2013-05-29 /pmc/articles/PMC3667171/ /pubmed/23734205 http://dx.doi.org/10.1371/journal.pone.0064555 Text en © 2013 Price et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Price, Jordan V.
Jarrell, Justin A.
Furman, David
Kattah, Nicole H.
Newell, Evan
Dekker, Cornelia L.
Davis, Mark M.
Utz, Paul J.
Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
title Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
title_full Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
title_fullStr Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
title_full_unstemmed Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
title_short Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
title_sort characterization of influenza vaccine immunogenicity using influenza antigen microarrays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3667171/
https://www.ncbi.nlm.nih.gov/pubmed/23734205
http://dx.doi.org/10.1371/journal.pone.0064555
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