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Towards the knowledge-based design of universal influenza epitope ensemble vaccines

Motivation: Influenza A viral heterogeneity remains a significant threat due to unpredictable antigenic drift in seasonal influenza and antigenic shifts caused by the emergence of novel subtypes. Annual review of multivalent influenza vaccines targets strains of influenza A and B likely to be predom...

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Autores principales: Sheikh, Qamar M., Gatherer, Derek, Reche, Pedro A, Flower, Darren R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079473/
https://www.ncbi.nlm.nih.gov/pubmed/27402904
http://dx.doi.org/10.1093/bioinformatics/btw399
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author Sheikh, Qamar M.
Gatherer, Derek
Reche, Pedro A
Flower, Darren R.
author_facet Sheikh, Qamar M.
Gatherer, Derek
Reche, Pedro A
Flower, Darren R.
author_sort Sheikh, Qamar M.
collection PubMed
description Motivation: Influenza A viral heterogeneity remains a significant threat due to unpredictable antigenic drift in seasonal influenza and antigenic shifts caused by the emergence of novel subtypes. Annual review of multivalent influenza vaccines targets strains of influenza A and B likely to be predominant in future influenza seasons. This does not induce broad, cross protective immunity against emergent subtypes. Better strategies are needed to prevent future pandemics. Cross-protection can be achieved by activating CD8+ and CD4+ T cells against highly conserved regions of the influenza genome. We combine available experimental data with informatics-based immunological predictions to help design vaccines potentially able to induce cross-protective T-cells against multiple influenza subtypes. Results: To exemplify our approach we designed two epitope ensemble vaccines comprising highly conserved and experimentally verified immunogenic influenza A epitopes as putative non-seasonal influenza vaccines; one specifically targets the US population and the other is a universal vaccine. The USA-specific vaccine comprised 6 CD8+ T cell epitopes (GILGFVFTL, FMYSDFHFI, GMDPRMCSL, SVKEKDMTK, FYIQMCTEL, DTVNRTHQY) and 3 CD4+ epitopes (KGILGFVFTLTVPSE, EYIMKGVYINTALLN, ILGFVFTLTVPSERG). The universal vaccine comprised 8 CD8+ epitopes: (FMYSDFHFI, GILGFVFTL, ILRGSVAHK, FYIQMCTEL, ILKGKFQTA, YYLEKANKI, VSDGGPNLY, YSHGTGTGY) and the same 3 CD4+ epitopes. Our USA-specific vaccine has a population protection coverage (portion of the population potentially responsive to one or more component epitopes of the vaccine, PPC) of over 96 and 95% coverage of observed influenza subtypes. The universal vaccine has a PPC value of over 97 and 88% coverage of observed subtypes. Availability and Implementation: http://imed.med.ucm.es/Tools/episopt.html. Contact: d.r.flower@aston.ac.uk
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spelling pubmed-50794732016-10-26 Towards the knowledge-based design of universal influenza epitope ensemble vaccines Sheikh, Qamar M. Gatherer, Derek Reche, Pedro A Flower, Darren R. Bioinformatics Original Papers Motivation: Influenza A viral heterogeneity remains a significant threat due to unpredictable antigenic drift in seasonal influenza and antigenic shifts caused by the emergence of novel subtypes. Annual review of multivalent influenza vaccines targets strains of influenza A and B likely to be predominant in future influenza seasons. This does not induce broad, cross protective immunity against emergent subtypes. Better strategies are needed to prevent future pandemics. Cross-protection can be achieved by activating CD8+ and CD4+ T cells against highly conserved regions of the influenza genome. We combine available experimental data with informatics-based immunological predictions to help design vaccines potentially able to induce cross-protective T-cells against multiple influenza subtypes. Results: To exemplify our approach we designed two epitope ensemble vaccines comprising highly conserved and experimentally verified immunogenic influenza A epitopes as putative non-seasonal influenza vaccines; one specifically targets the US population and the other is a universal vaccine. The USA-specific vaccine comprised 6 CD8+ T cell epitopes (GILGFVFTL, FMYSDFHFI, GMDPRMCSL, SVKEKDMTK, FYIQMCTEL, DTVNRTHQY) and 3 CD4+ epitopes (KGILGFVFTLTVPSE, EYIMKGVYINTALLN, ILGFVFTLTVPSERG). The universal vaccine comprised 8 CD8+ epitopes: (FMYSDFHFI, GILGFVFTL, ILRGSVAHK, FYIQMCTEL, ILKGKFQTA, YYLEKANKI, VSDGGPNLY, YSHGTGTGY) and the same 3 CD4+ epitopes. Our USA-specific vaccine has a population protection coverage (portion of the population potentially responsive to one or more component epitopes of the vaccine, PPC) of over 96 and 95% coverage of observed influenza subtypes. The universal vaccine has a PPC value of over 97 and 88% coverage of observed subtypes. Availability and Implementation: http://imed.med.ucm.es/Tools/episopt.html. Contact: d.r.flower@aston.ac.uk Oxford University Press 2016-11-01 2016-07-10 /pmc/articles/PMC5079473/ /pubmed/27402904 http://dx.doi.org/10.1093/bioinformatics/btw399 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Sheikh, Qamar M.
Gatherer, Derek
Reche, Pedro A
Flower, Darren R.
Towards the knowledge-based design of universal influenza epitope ensemble vaccines
title Towards the knowledge-based design of universal influenza epitope ensemble vaccines
title_full Towards the knowledge-based design of universal influenza epitope ensemble vaccines
title_fullStr Towards the knowledge-based design of universal influenza epitope ensemble vaccines
title_full_unstemmed Towards the knowledge-based design of universal influenza epitope ensemble vaccines
title_short Towards the knowledge-based design of universal influenza epitope ensemble vaccines
title_sort towards the knowledge-based design of universal influenza epitope ensemble vaccines
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079473/
https://www.ncbi.nlm.nih.gov/pubmed/27402904
http://dx.doi.org/10.1093/bioinformatics/btw399
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