Near real-time data on the human neutralizing antibody landscape to influenza virus as of early 2026 to inform vaccine-strain selection.

IF 3.8 2区 医学 Q1 VIROLOGY
Virus Evolution Pub Date : 2026-07-26 eCollection Date: 2026-01-01 DOI:10.1093/ve/veag046
Caroline Kikawa, John Huddleston, Sam A Turner, Andrea N Loes, Jiaojiao Liu, Sydney Gang, Tachianna Griffiths, Elizabeth M Drapeau, Benjamin J Cowling, Faith Ho, Nancy H L Leung, Janet A Englund, Kirsten Lacombe, Shinji Watanabe, Hideki Hasegawa, Michael Busch, Marion Lanteri, Mars Stone, Bryan Spencer, Richard A Neher, Derek J Smith, Trevor Bedford, Scott E Hensley, Jesse D Bloom
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引用次数: 0

Abstract

Twice each year, a decision is made on whether to update the strains included in the seasonal influenza vaccine to better match the most recent circulating viral strains. To characterize the antigenic properties of current seasonal influenza A strains to inform the upcoming decision about which strains to include in the 2026-7 Northern Hemisphere vaccine, here we perform high-throughput sequencing-based neutralization assays using a library of 57 H3N2 and 34 H1N1 influenza hemagglutinins reflecting the circulating diversity of strains in late 2025 to early 2026. We assay this library against 302 human sera collected in late 2025. The resulting data set encompasses 27 409 titres and provides a near real-time portrait of the human neutralizing antibody landscape against influenza virus. We find that many human sera have lower titres against the K subclade of H3N2 and the D.3.1.1 subclade of H1N1; these subclades have recently become dominant among their respective subtypes. Our measurements also reveal variability in titres to different subvariants within the K subclade of H3N2, with titres especially low to subclade K strains with additional mutations in antigenic regions D and E. We make all our data and accompanying visualizations publicly available to enable their use in vaccine-strain selection and analyses of influenza evolution and immunity.

截至2026年初,人类流感病毒中和抗体格局的近实时数据,为疫苗株选择提供信息。
每年两次决定是否更新季节性流感疫苗中包含的毒株,以更好地与最近流行的病毒毒株相匹配。为了表征当前季节性甲型流感毒株的抗原特性,以便为即将到来的2026-7北半球疫苗中包含哪些毒株提供信息,我们使用57个H3N2和34个H1N1流感血凝素文库进行了基于高通量测序的中和试验,反映了2025年底至2026年初流感毒株的流行多样性。我们将该文库与2025年底收集的302人血清进行对比。由此产生的数据集包括27409滴度,并提供了针对流感病毒的人类中和抗体景观的近乎实时的肖像。我们发现许多人血清对H3N2的K亚支和H1N1的D.3.1.1亚支有较低的滴度;这些亚枝最近在它们各自的亚型中占主导地位。我们的测量结果还揭示了H3N2 K亚分支中不同亚变体的滴度差异,特别是在抗原区D和e有额外突变的K亚分支的滴度特别低。我们将所有数据和随附的可视化公开,使其能够用于疫苗株选择和流感进化和免疫分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Virus Evolution
Virus Evolution Immunology and Microbiology-Microbiology
CiteScore
10.50
自引率
5.70%
发文量
108
审稿时长
14 weeks
期刊介绍: Virus Evolution is a new Open Access journal focusing on the long-term evolution of viruses, viruses as a model system for studying evolutionary processes, viral molecular epidemiology and environmental virology. The aim of the journal is to provide a forum for original research papers, reviews, commentaries and a venue for in-depth discussion on the topics relevant to virus evolution.
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