Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation

One of the primary efforts in influenza vaccine strain recommendation is to monitor through gene sequencing the viral surface protein haemagglutinin (HA) variants that lead to viral antigenic changes. Here we have developed a computational method, denoted as PREDAC, to predict antigenic clusters of...

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Bibliographic Details
Published in:Nature communications 2012-02, Vol.3 (1), p.709-709, Article 709
Main Authors: Du, Xiangjun, Dong, Libo, Lan, Yu, Peng, Yousong, Wu, Aiping, Zhang, Ye, Huang, Weijuan, Wang, Dayan, Wang, Min, Guo, Yuanji, Shu, Yuelong, Jiang, Taijiao
Format: Article
Language:English
Subjects:
631/114
631/1647/514/2254
631/250/24/590
631/326/596/1578
Antigenic Variation
Antigens, Viral - genetics
Antigens, Viral - immunology
Base Sequence
China
Computer Simulation
Drug Design
Evolution, Molecular
Genetic Variation
Hemagglutinin Glycoproteins, Influenza Virus - genetics
Hemagglutinin Glycoproteins, Influenza Virus - immunology
Humanities and Social Sciences
Humans
Influenza A Virus, H3N2 Subtype - genetics
Influenza A Virus, H3N2 Subtype - immunology
Influenza A Virus, H3N2 Subtype - isolation & purification
Influenza, Human - virology
Models, Immunological
multidisciplinary
Phylogeny
Science
Science (multidisciplinary)
Sequence Analysis, DNA
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Summary:One of the primary efforts in influenza vaccine strain recommendation is to monitor through gene sequencing the viral surface protein haemagglutinin (HA) variants that lead to viral antigenic changes. Here we have developed a computational method, denoted as PREDAC, to predict antigenic clusters of influenza A (H3N2) viruses with high accuracy from viral HA sequences. Application of PREDAC to large-scale HA sequence data of H3N2 viruses isolated from diverse regions of Mainland China identified 17 antigenic clusters that have dominated for at least one season between 1968 and 2010. By tracking the dynamics of the dominant antigenic clusters, we not only find that dominant antigenic clusters change more frequently in China than in the United States/Europe, but also characterize the antigenic patterns of seasonal H3N2 viruses within China. Furthermore, we demonstrate that the coupling of large-scale HA sequencing with PREDAC can significantly improve vaccine strain recommendation for China. Influenza vaccines are updated frequently to accommodate changing influenza antigenicity. Here, the authors develop a new computational method for predicting the antigenicity of H3N2 influenza strains based on the HA sequence.
ISSN:2041-1723
2041-1723
DOI:10.1038/ncomms1710