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2017/18 年季节流感 B 病毒在人体肺部原代模型中的分子特征揭示了其对下呼吸道的更好适应。

Molecular characterisation of influenza B virus from the 2017/18 season in primary models of the human lung reveals improved adaptation to the lower respiratory tract.

机构信息

Institute of Virology, University of Münster, Münster, Germany.

EvoPAD Research Training Group 2220, University of Münster, Münster, Germany.

出版信息

Emerg Microbes Infect. 2024 Dec;13(1):2402868. doi: 10.1080/22221751.2024.2402868. Epub 2024 Sep 23.

DOI:10.1080/22221751.2024.2402868
PMID:39248230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11421153/
Abstract

The 2017/18 influenza season was characterized by unusual high numbers of severe infections and hospitalizations. Instead of influenza A viruses, this season was dominated by infections with influenza B viruses of the Yamagata lineage. While this IBV/Yam dominance was associated with a vaccine mismatch, a contribution of virus intrinsic features to the clinical severity of the infections was speculated. Here, we performed a molecular and phenotypic characterization of three IBV isolates from patients with severe flu symptoms in 2018 and compared it to an IBV/Yam isolate from 2016 using experimental models of increasing complexity, including human lung explants, lung organoids, and alveolar macrophages. Viral genome sequencing revealed the presence of clade but also isolate specific mutations in all viral genes, except NP, M1, and NEP. Comparative replication kinetics in different cell lines provided further evidence for improved replication fitness, tolerance towards higher temperatures, and the development of immune evasion mechanisms by the 2018 IBV isolates. Most importantly, immunohistochemistry of infected human lung explants revealed an impressively altered cell tropism, extending from AT2 to AT1 cells and macrophages. Finally, transcriptomics of infected human lung explants demonstrated significantly reduced amounts of type I and type III IFNs by the 2018 IBV isolate, supporting the existence of additional immune evasion mechanisms. Our results show that the severeness of the 2017/18 Flu season was not only the result of a vaccine mismatch but was also facilitated by improved adaptation of the circulating IBV strains to the environment of the human lower respiratory tract.

摘要

2017/18 流感季节的特点是严重感染和住院人数异常高。与甲型流感病毒不同,本季节主要由乙型流感病毒 Yamagata 谱系感染引起。虽然这种 IBV/Yam 优势与疫苗不匹配有关,但有人推测病毒内在特征对感染的临床严重程度有一定影响。在这里,我们对 2018 年三名患有严重流感症状的患者的 IBV 分离株进行了分子和表型特征分析,并与 2016 年的 IBV/Yam 分离株进行了比较,使用了包括人肺外植体、肺类器官和肺泡巨噬细胞在内的实验模型,这些模型的复杂性逐渐增加。病毒基因组测序显示,除 NP、M1 和 NEP 外,所有病毒基因都存在分支特异性和分离株特异性突变。在不同细胞系中的比较复制动力学为 2018 年 IBV 分离株提供了进一步的证据,证明其具有更好的复制适应性、对较高温度的耐受性以及免疫逃避机制的发展。最重要的是,感染的人肺外植体的免疫组织化学显示出令人印象深刻的改变的细胞嗜性,从 AT2 细胞扩展到 AT1 细胞和巨噬细胞。最后,感染的人肺外植体的转录组学显示,2018 年 IBV 分离株显著减少了 I 型和 III 型 IFN 的产生,支持存在额外的免疫逃避机制。我们的研究结果表明,2017/18 流感季节的严重性不仅是疫苗不匹配的结果,而且还得益于循环 IBV 株对人类下呼吸道环境的适应性提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/48738110c15b/TEMI_A_2402868_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/0f1c400389ea/TEMI_A_2402868_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/00095b269950/TEMI_A_2402868_F0002_OB.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/3da6d5b9b66e/TEMI_A_2402868_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/f396ffbf419e/TEMI_A_2402868_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/d95f205a10fc/TEMI_A_2402868_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/48738110c15b/TEMI_A_2402868_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/0f1c400389ea/TEMI_A_2402868_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/00095b269950/TEMI_A_2402868_F0002_OB.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/3da6d5b9b66e/TEMI_A_2402868_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/f396ffbf419e/TEMI_A_2402868_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/d95f205a10fc/TEMI_A_2402868_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e325/11421153/48738110c15b/TEMI_A_2402868_F0006_OC.jpg

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