中国病毒学2023，Vol.38Issue(4) ：541-548.DOI:10.1016/j.virs.2023.05.008

Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1)pdm09 viruses

Mi Liu Jingze Liu Wenjun Song Yousong Peng Xiao Ding Lizong Deng Taijiao Jiang
中国病毒学2023，Vol.38Issue(4) ：541-548.DOI:10.1016/j.virs.2023.05.008
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Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1)pdm09 viruses

Mi Liu 1Jingze Liu 2Wenjun Song 3Yousong Peng 4Xiao Ding 2Lizong Deng 2Taijiao Jiang5
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作者信息

  • 1. Jiangsu Institute of Clinical Immunology,The First Affiliated Hospital of Soochow University,Suzhou,215006,China
  • 2. Institute of Systems Medicine,Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,100005,China;Suzhou Institute of Systems Medicine,Suzhou,215123,China
  • 3. Guangzhou Laboratory,Guangzhou,510005,China
  • 4. Bioinformatics Center,College of Biology,Hunan Provincial Key Laboratory of Medical Virology,Hunan University,Changsha,410082,China
  • 5. Suzhou Institute of Systems Medicine,Suzhou,215123,China;Guangzhou Laboratory,Guangzhou,510005,China;State Key Laboratory of Respiratory Disease,the First Affiliated Hospital of Guangzhou Medical University,Guangzhou Medical University,Guangzhou,510120,China
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Abstract

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 sub-stitutions 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 deter-mination method for identifying antigenic variants,and the further analysis of evolutionary and epidemic characteristics can facilitate vaccine recommendations and influenza surveillance for H1N1pdm.

Key words

H1N1pdm virus/Antigenic relationship prediction/Antigenic evolution/Vaccine recommendation

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基金项目

National Natural Science Foundation of China(32070678)

National Key Research and Development Program of China(2021YFC2302001)

出版年

2023
中国病毒学
中国科学院武汉病毒研究所，中国微生物学会

中国病毒学

CSTPCDCSCD
影响因子：0.393
ISSN：1674-0769
参考文献量43
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