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Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses
The Influenza A (H1N1) pdm09 virus caused a global pandemic in 2009 and has circulated seasonally ever since. As the continual genetic evolution of hemagglutinin in this virus leads to antigenic drift, rapid identification of antigenic variants and characterization of the antigenic evolution are nee...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wuhan Institute of Virology, Chinese Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436056/ https://www.ncbi.nlm.nih.gov/pubmed/37211247 http://dx.doi.org/10.1016/j.virs.2023.05.008 |
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author | Liu, Mi Liu, Jingze Song, Wenjun Peng, Yousong Ding, Xiao Deng, Lizong Jiang, Taijiao |
author_facet | Liu, Mi Liu, Jingze Song, Wenjun Peng, Yousong Ding, Xiao Deng, Lizong Jiang, Taijiao |
author_sort | Liu, Mi |
collection | PubMed |
description | The Influenza A (H1N1) pdm09 virus caused a global pandemic in 2009 and has circulated seasonally ever since. As the continual genetic evolution of hemagglutinin in this virus leads to antigenic drift, rapid identification of antigenic variants and characterization of the antigenic evolution are needed. In this study, we developed PREDAC-H1pdm, a model to predict antigenic relationships between H1N1pdm viruses and identify antigenic clusters for post-2009 pandemic H1N1 strains. Our model performed well in predicting antigenic variants, which was helpful in influenza surveillance. By mapping the antigenic clusters for H1N1pdm, we found that substitutions on the Sa epitope were common for H1N1pdm, whereas for the former seasonal H1N1, substitutions on the Sb epitope were more common in antigenic evolution. Additionally, the localized epidemic pattern of H1N1pdm was more obvious than that of the former seasonal H1N1, which could make vaccine recommendation more sophisticated. Overall, the antigenic relationship prediction model we developed provides a rapid determination method for identifying antigenic variants, and the further analysis of evolutionary and epidemic characteristics can facilitate vaccine recommendations and influenza surveillance for H1N1pdm. |
format | Online Article Text |
id | pubmed-10436056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wuhan Institute of Virology, Chinese Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-104360562023-08-19 Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses Liu, Mi Liu, Jingze Song, Wenjun Peng, Yousong Ding, Xiao Deng, Lizong Jiang, Taijiao Virol Sin Research Article The Influenza A (H1N1) pdm09 virus caused a global pandemic in 2009 and has circulated seasonally ever since. As the continual genetic evolution of hemagglutinin in this virus leads to antigenic drift, rapid identification of antigenic variants and characterization of the antigenic evolution are needed. In this study, we developed PREDAC-H1pdm, a model to predict antigenic relationships between H1N1pdm viruses and identify antigenic clusters for post-2009 pandemic H1N1 strains. Our model performed well in predicting antigenic variants, which was helpful in influenza surveillance. By mapping the antigenic clusters for H1N1pdm, we found that substitutions on the Sa epitope were common for H1N1pdm, whereas for the former seasonal H1N1, substitutions on the Sb epitope were more common in antigenic evolution. Additionally, the localized epidemic pattern of H1N1pdm was more obvious than that of the former seasonal H1N1, which could make vaccine recommendation more sophisticated. Overall, the antigenic relationship prediction model we developed provides a rapid determination method for identifying antigenic variants, and the further analysis of evolutionary and epidemic characteristics can facilitate vaccine recommendations and influenza surveillance for H1N1pdm. Wuhan Institute of Virology, Chinese Academy of Sciences 2023-05-19 /pmc/articles/PMC10436056/ /pubmed/37211247 http://dx.doi.org/10.1016/j.virs.2023.05.008 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Liu, Mi Liu, Jingze Song, Wenjun Peng, Yousong Ding, Xiao Deng, Lizong Jiang, Taijiao Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses |
title | Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses |
title_full | Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses |
title_fullStr | Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses |
title_full_unstemmed | Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses |
title_short | Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses |
title_sort | development of predac-h1pdm to model the antigenic evolution of influenza a/(h1n1) pdm09 viruses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436056/ https://www.ncbi.nlm.nih.gov/pubmed/37211247 http://dx.doi.org/10.1016/j.virs.2023.05.008 |
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