Multi-epitope Models Explain How Pre-existing Antibodies Affect the Generation of Broadly Protective Responses to Influenza

The development of next-generation influenza vaccines that elicit strain-transcendent immunity against both seasonal and pandemic viruses is a key public health goal. Targeting the evolutionarily conserved epitopes on the stem of influenza's major surface molecule, hemagglutinin, is an appealin...

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Published inPLoS pathogens Vol. 12; no. 6; p. e1005692
Main Authors Zarnitsyna, Veronika I., Lavine, Jennie, Ellebedy, Ali, Ahmed, Rafi, Antia, Rustom
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.06.2016
Public Library of Science (PLoS)
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Summary:The development of next-generation influenza vaccines that elicit strain-transcendent immunity against both seasonal and pandemic viruses is a key public health goal. Targeting the evolutionarily conserved epitopes on the stem of influenza's major surface molecule, hemagglutinin, is an appealing prospect, and novel vaccine formulations show promising results in animal model systems. However, studies in humans indicate that natural infection and vaccination result in limited boosting of antibodies to the stem of HA, and the level of stem-specific antibody elicited is insufficient to provide broad strain-transcendent immunity. Here, we use mathematical models of the humoral immune response to explore how pre-existing immunity affects the ability of vaccines to boost antibodies to the head and stem of HA in humans, and, in particular, how it leads to the apparent lack of boosting of broadly cross-reactive antibodies to the stem epitopes. We consider hypotheses where binding of antibody to an epitope: (i) results in more rapid clearance of the antigen; (ii) leads to the formation of antigen-antibody complexes which inhibit B cell activation through Fcγ receptor-mediated mechanism; and (iii) masks the epitope and prevents the stimulation and proliferation of specific B cells. We find that only epitope masking but not the former two mechanisms to be key in recapitulating patterns in data. We discuss the ramifications of our findings for the development of vaccines against both seasonal and pandemic influenza.
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Conceived and designed the experiments: VIZ RAn AE RAh. Performed the experiments: VIZ AE. Analyzed the data: VIZ JL AE RAh RAn. Contributed reagents/materials/analysis tools: VIZ. Wrote the paper: VIZ JL RAn. R code for models and data analysis: VIZ.
The authors have declared that no competing interests exist.
ISSN:1553-7374
1553-7366
1553-7374
DOI:10.1371/journal.ppat.1005692