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生命早期的免疫印迹塑造了对乙型流感病毒血凝素的交叉反应性。

Immune imprinting in early life shapes cross-reactivity to influenza B virus haemagglutinin.

机构信息

Department of Infectious Diseases, University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, Victoria, Australia.

Department of Microbiology and Immunology, University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, Victoria, Australia.

出版信息

Nat Microbiol. 2024 Aug;9(8):2073-2083. doi: 10.1038/s41564-024-01732-8. Epub 2024 Jun 18.

DOI:10.1038/s41564-024-01732-8
PMID:38890491
Abstract

Influenza exposures early in life are believed to shape future susceptibility to influenza infections by imprinting immunological biases that affect cross-reactivity to future influenza viruses. However, direct serological evidence linked to susceptibility is limited. Here we analysed haemagglutination-inhibition titres in 1,451 cross-sectional samples collected between 1992 and 2020, from individuals born between 1917 and 2008, against influenza B virus (IBV) isolates from 1940 to 2021. We included testing of 'future' isolates that circulated after sample collection. We show that immunological biases are conferred by early life IBV infection and result in lineage-specific cross-reactivity of a birth cohort towards future IBV isolates. This translates into differential estimates of susceptibility between birth cohorts towards the B/Yamagata and B/Victoria lineages, predicting lineage-specific birth-cohort distributions of observed medically attended IBV infections. Our data suggest that immunological measurements of imprinting could be important in modelling and predicting virus epidemiology.

摘要

人们认为,生命早期接触流感会通过影响对未来流感病毒的交叉反应的免疫偏倚,来塑造未来对流感感染的易感性。然而,与易感性相关的直接血清学证据有限。在这里,我们分析了 1992 年至 2020 年间采集的 1451 份横断面样本中的血凝抑制滴度,这些样本来自 1917 年至 2008 年出生的个体,针对的是 1940 年至 2021 年的乙型流感病毒(IBV)分离株。我们包括了对样本采集后流行的“未来”分离株的检测。我们表明,免疫偏倚是由生命早期的 IBV 感染引起的,并导致出生队列对未来 IBV 分离株产生谱系特异性的交叉反应。这转化为针对 B/Yamagata 和 B/Victoria 谱系的出生队列对易感性的差异估计,预测了观察到的医学上有就诊记录的 IBV 感染的谱系特异性出生队列分布。我们的数据表明,免疫印迹的免疫测量在病毒流行病学的建模和预测中可能很重要。

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