Jiangsu Institute of Clinical Immunology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China; Suzhou Institute of Systems Medicine, Suzhou, 215123, China.
Virol Sin. 2023 Aug;38(4):541-548. doi: 10.1016/j.virs.2023.05.008. Epub 2023 May 19.
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.
甲型 H1N1 流感病毒(H1N1 pdm09)于 2009 年引发了全球大流行,此后一直呈季节性流行。由于该病毒血凝素的持续遗传进化导致抗原漂移,因此需要快速鉴定抗原变异体并描述抗原进化。在本研究中,我们开发了 PREDAC-H1pdm,这是一种预测 H1N1pdm 病毒之间抗原关系并鉴定 2009 年后大流行 H1N1 毒株抗原簇的模型。我们的模型在预测抗原变异体方面表现良好,这有助于流感监测。通过对 H1N1pdm 的抗原簇进行映射,我们发现 Sa 表位的取代在 H1N1pdm 中很常见,而在以前的季节性 H1N1 中,Sb 表位的取代在抗原进化中更为常见。此外,H1N1pdm 的局部流行模式比以前的季节性 H1N1 更为明显,这可能使疫苗推荐更为复杂。总的来说,我们开发的抗原关系预测模型为鉴定抗原变异体提供了一种快速的确定方法,对进化和流行特征的进一步分析有助于 H1N1pdm 的疫苗推荐和流感监测。