Potential of a sequence-based antigenic distance measure to indicate equine influenza vaccine strain efficacy.
Abstract: The calculation of p(epitope) values, a sequence-based measure of antigenic distance between strains, was developed for human influenza. The potential to apply the p(epitope) value to equine influenza vaccine strain selection was assessed. There was a negative correlation between p(epitope) value and vaccine efficacy for pairs of vaccine and challenge strains used in cross-protection studies in ponies that just reached statistical significance (p=0.046) only if one pair of viruses was excluded from the analysis. Thus the p(epitope) value has potential to provide additional data to consider in the decision-making process for updating equine influenza vaccine strains. However, further work is required to define the epitopes of the equine H3N8 haemagglutinin protein recognised by equine antibodies, which could lead to refinement of the p(epitope) value calculation. Furthermore, other factors such as vaccine potency and virulence of circulating strains may also influence vaccine efficacy.
Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.
Publication Date: 2013-07-02 PubMed ID: 23831320DOI: 10.1016/j.vaccine.2013.06.070Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research article evaluates the potential of a sequence-based antigenic distance measure, known as p(epitope) value, to predict the efficacy of equine influenza vaccine strains.
Overview of the Study
- This study primarily focused on examining the effectiveness of a sequence-based antigenic distance measure, known as p(epitope) value, initially developed for human influenza, for its potential applicability to equine influenza vaccine strain selection.
- Antigenic distance can be defined as a measure of the genetic difference between strains of a virus.
- The model considered pairs of vaccine and challenge strains used in cross-protection studies on ponies.
Study Findings
- The research displayed a negative correlation between the p(epitope) value and vaccine effectiveness, which suggests the p(epitope) value might provide valuable insights on the efficacy of equine influenza vaccine strains.
- However, for the correlation to reach statistical significance (a p-value less than or equal to 0.05), one pair of strains had to be excluded from the analysis.
Implications and Future Directions
- Given the results, the researchers suggest that the p(epitope) value could provide additional data to consider when deciding on the necessary updates for equine influenza vaccine strains.
- However, they also assert the need for further research to define the epitopes—the parts of an antigen that are recognized by the immune system—of the equine H3N8 haemagglutinin protein recognised by equine antibodies. This could lead to enhancement of the p(epitope) value calculation.
- The study also acknowledges that factors like vaccine potency and virulence of currently circulating strains may also significantly affect the efficacy of vaccinations. Thus, these factors should also be taken into account in future research.
Cite This Article
APA
Daly JM, Elton D.
(2013).
Potential of a sequence-based antigenic distance measure to indicate equine influenza vaccine strain efficacy.
Vaccine, 31(51), 6043-6045.
https://doi.org/10.1016/j.vaccine.2013.06.070 Publication
Researcher Affiliations
- School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington LE12 5RD, UK. Electronic address: janet.daly@nottingham.ac.uk.
MeSH Terms
- Animals
- Antigens, Viral / genetics
- Antigens, Viral / immunology
- Cross Protection
- Epitopes / genetics
- Epitopes / immunology
- Hemagglutinin Glycoproteins, Influenza Virus / genetics
- Hemagglutinin Glycoproteins, Influenza Virus / immunology
- Horse Diseases / prevention & control
- Horses
- Influenza A Virus, H3N8 Subtype / genetics
- Influenza A Virus, H3N8 Subtype / immunology
- Influenza Vaccines / immunology
- Orthomyxoviridae Infections / prevention & control
Citations
This article has been cited 7 times.- Peng F, Xia Y, Li W. Prediction of Antigenic Distance in Influenza A Using Attribute Network Embedding.. Viruses 2023 Jun 29;15(7).
- Pavulraj S, Bergmann T, Trombetta CM, Marchi S, Montomoli E, Alami SSE, Ragni-Alunni R, Osterrieder N, Azab W. Immunogenicity of Calvenza-03 EIV/EHV(®) Vaccine in Horses: Comparative In Vivo Study.. Vaccines (Basel) 2021 Feb 17;9(2).
- Anderson CS, McCall PR, Stern HA, Yang H, Topham DJ. Antigenic cartography of H1N1 influenza viruses using sequence-based antigenic distance calculation.. BMC Bioinformatics 2018 Feb 12;19(1):51.
- Anderson CS, DeDiego ML, Thakar J, Topham DJ. Novel Sequence-Based Mapping of Recently Emerging H5NX Influenza Viruses Reveals Pandemic Vaccine Candidates.. PLoS One 2016;11(8):e0160510.
- Li X, Deem MW. Influenza evolution and H3N2 vaccine effectiveness, with application to the 2014/2015 season.. Protein Eng Des Sel 2016 Aug;29(8):309-15.
- Paillot R. A Systematic Review of Recent Advances in Equine Influenza Vaccination.. Vaccines (Basel) 2014 Nov 14;2(4):797-831.
- Wang J, Hilchey SP, Hyrien O, Huertas N, Perry S, Ramanunninair M, Bucher D, Zand MS. Multi-Dimensional Measurement of Antibody-Mediated Heterosubtypic Immunity to Influenza.. PLoS One 2015;10(6):e0129858.
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