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

Virologica Sinica 2023年第4期38卷 541-548页

作者： Mi Liu Jingze Liu Wenjun Song Yousong Peng Xiao Ding Lizong Deng Taijiao Jiang Jiangsu Institute of Clinical Immunology The First Affiliated Hospital of Soochow UniversitySuzhou215006China Institute of Systems Medicine Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing100005China Suzhou Institute of Systems Medicine Suzhou215123China Guangzhou Laboratory Guangzhou510005China Bioinformatics Center College of BiologyHunan Provincial Key Laboratory of Medical VirologyHunan UniversityChangsha410082China State Key Laboratory of Respiratory Disease the First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou Medical UniversityGuangzhou510120China

The Influenza A(H1N1)pdm09 virus caused a global pandemic in 2009 and has circulated seasonally ever *** 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 *** this study,we developed PREDAC-H1pdm,a model to predict antigenic relationships between H1N1pdm viruses and identify antigenic clusters for post-2009 pandemic H1N1 *** model performed well in predicting antigenic variants,which was helpful in influenza *** 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 ***,the localized epidemic pattern of H1N1pdm was more obvious than that of the former seasonal H1N1,which could make vaccine recommendation more ***,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.

关键词： H1N1pdm virus antigenic relationship prediction antigenic evolution Vaccine recommendation

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