Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rahman, Sezanur, Hasan, Mehedi, Alam, Md Shaheen, Uddin, K. M. Main, Moni, Sayra, Rahman, Mustafizur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
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
_version_ 1784799520369934336
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
work_keys_str_mv AT rahmansezanur theevolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT hasanmehedi theevolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT alammdshaheen theevolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT uddinkmmain theevolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT monisayra theevolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT rahmanmustafizur theevolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT rahmansezanur evolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT hasanmehedi evolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT alammdshaheen evolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT uddinkmmain evolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT monisayra evolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection
AT rahmanmustafizur evolutionaryfootprintofinfluenzaasubtypeh3n2strainsinbangladeshimplicationofvaccinestrainselection