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The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection
In February each year, World Health Organization (WHO) recommends candidate vaccine viruses for the forthcoming northern hemisphere (NH) season; however, the influenza season in the temperate zone of NH begins in October. During egg- or cell culture-propagation, the vaccine viruses become too old to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519982/ https://www.ncbi.nlm.nih.gov/pubmed/36171388 http://dx.doi.org/10.1038/s41598-022-20179-7 |
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author | Rahman, Sezanur Hasan, Mehedi Alam, Md Shaheen Uddin, K. M. Main Moni, Sayra Rahman, Mustafizur |
author_facet | Rahman, Sezanur Hasan, Mehedi Alam, Md Shaheen Uddin, K. M. Main Moni, Sayra Rahman, Mustafizur |
author_sort | Rahman, Sezanur |
collection | PubMed |
description | In February each year, World Health Organization (WHO) recommends candidate vaccine viruses for the forthcoming northern hemisphere (NH) season; however, the influenza season in the temperate zone of NH begins in October. During egg- or cell culture-propagation, the vaccine viruses become too old to confer the highest match with the latest strains, impacting vaccine effectiveness. Therefore, an alternative strategy like mRNA-based vaccine using the most recent strains should be considered. We analyzed influenza A subtype H3N2 strains circulating in NH during the last 10 years (2009–2020). Phylogenetic analysis revealed multiple clades of influenza strains circulating every season, which had substantial mismatches with WHO-recommended vaccine strains. The clustering pattern suggests that influenza A subtype H3N2 strains are not fixed to the specific geographical region but circulate globally in the same season. By analyzing 39 seasons from eight NH countries with the highest vaccine coverage, we also provide evidence that the influenza A, subtype H3N2 strains from South and Southeast Asia, including Bangladesh, had the highest genetic proximity to the NH strains. Furthermore, insilico analysis showed minimal effect on the Bangladeshi HA protein structure, indicating the stability of Bangladeshi strains. Therefore, we propose that Bangladeshi influenza strains represent genetic makeup that may better fit and serve as the most suitable candidate vaccine viruses for the forthcoming NH season. |
format | Online Article Text |
id | pubmed-9519982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95199822022-09-30 The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection Rahman, Sezanur Hasan, Mehedi Alam, Md Shaheen Uddin, K. M. Main Moni, Sayra Rahman, Mustafizur Sci Rep Article In February each year, World Health Organization (WHO) recommends candidate vaccine viruses for the forthcoming northern hemisphere (NH) season; however, the influenza season in the temperate zone of NH begins in October. During egg- or cell culture-propagation, the vaccine viruses become too old to confer the highest match with the latest strains, impacting vaccine effectiveness. Therefore, an alternative strategy like mRNA-based vaccine using the most recent strains should be considered. We analyzed influenza A subtype H3N2 strains circulating in NH during the last 10 years (2009–2020). Phylogenetic analysis revealed multiple clades of influenza strains circulating every season, which had substantial mismatches with WHO-recommended vaccine strains. The clustering pattern suggests that influenza A subtype H3N2 strains are not fixed to the specific geographical region but circulate globally in the same season. By analyzing 39 seasons from eight NH countries with the highest vaccine coverage, we also provide evidence that the influenza A, subtype H3N2 strains from South and Southeast Asia, including Bangladesh, had the highest genetic proximity to the NH strains. Furthermore, insilico analysis showed minimal effect on the Bangladeshi HA protein structure, indicating the stability of Bangladeshi strains. Therefore, we propose that Bangladeshi influenza strains represent genetic makeup that may better fit and serve as the most suitable candidate vaccine viruses for the forthcoming NH season. Nature Publishing Group UK 2022-09-28 /pmc/articles/PMC9519982/ /pubmed/36171388 http://dx.doi.org/10.1038/s41598-022-20179-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rahman, Sezanur Hasan, Mehedi Alam, Md Shaheen Uddin, K. M. Main Moni, Sayra Rahman, Mustafizur The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection |
title | The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection |
title_full | The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection |
title_fullStr | The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection |
title_full_unstemmed | The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection |
title_short | The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection |
title_sort | evolutionary footprint of influenza a subtype h3n2 strains in bangladesh: implication of vaccine strain selection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519982/ https://www.ncbi.nlm.nih.gov/pubmed/36171388 http://dx.doi.org/10.1038/s41598-022-20179-7 |
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