Spatial variation of infectious virus load in aggregated day 3 post-inoculation respiratory tract tissues from influenza A virus-infected ferrets.

IF 3.1 2区 生物学 Q2 MICROBIOLOGY
mSphere Pub Date : 2025-09-30 Epub Date: 2025-09-08 DOI:10.1128/msphere.00346-25
Troy J Kieran, Xiangjie Sun, Terrence M Tumpey, Taronna R Maines, Jessica A Belser
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引用次数: 0

Abstract

The ferret model is widely used to study influenza A viruses (IAVs) isolated from multiple avian and mammalian species, as IAVs typically replicate in the respiratory tract of ferrets without the need for prior host adaptation. During standard IAV risk assessments, tissues are routinely collected from ferrets at a fixed time point post-inoculation to assess the capacity for systemic spread. Here, we describe a data set of virus titers in tissues collected from both respiratory tract and extrapulmonary sites 3 days post-inoculation from over 300 ferrets inoculated with more than 100 unique IAVs (inclusive of H1, H2, H3, H5, H7, and H9 IAV subtypes, both mammalian and zoonotic origin). All experiments were conducted by a single research group under a uniform experimental protocol, making it the largest well-controlled publicly available data set to date of discrete tissue titers reported on a per-ferret level. Analysis of these tissues revealed spatial variation in infectious virus load across different tissues, coupled with different interdependence of infectious viral titers throughout the ferret respiratory tract, dependent on the subtype and sequence identity of the IAV. Collectively, this data set enhances our understanding of the diverse heterogeneity exhibited by IAV strains that pose a threat to human health, as observed in tissues collected during the acute phase of infection in mammals, and enables subsequent in-depth analyses spanning a wide array of data science, statistical, and modeling approaches.IMPORTANCEThe three Rs (reduction, refinement, and replacement, which govern ethical and humane use of animals in scientific research) compel investigators to consider ways to maximize value and impact of in vivo experimentation using a minimum number of animals. One way to achieve this is to aggregate and share publicly results from multiple studies for subsequent investigation. This resource report describes such a data set, reporting infectious virus titers detected in multiple tissues from influenza A virus-infected ferrets, day 3 post-inoculation, aggregated from studies conducted over multiple decades by one research group. We provide usage notes for best practices to inform analysis of these data by other investigators and report results of exploratory studies that illustrate conclusions that can be informed by analyses of this nature. Future public release of like data sets by other groups with similar historical archives may be informed by the practices and formatting described herein.

甲型流感病毒感染雪貂接种后第3天呼吸道组织感染病毒载量的空间变化
雪貂模型被广泛用于研究从多种鸟类和哺乳动物中分离的甲型流感病毒(iav),因为iav通常在雪貂的呼吸道中复制,而不需要事先适应宿主。在标准的IAV风险评估期间,在接种后的固定时间点常规收集雪貂的组织,以评估全身传播的能力。在这里,我们描述了接种后3天从300多只雪貂的呼吸道和肺外部位收集的病毒滴度数据集,这些雪貂接种了100多种独特的IAV(包括H1, H2, H3, H5, H7和H9 IAV亚型,包括哺乳动物和人畜共患源)。所有实验都是由一个研究小组在统一的实验方案下进行的,这使得它成为迄今为止在每个雪貂水平上报告的离散组织滴度的最大的、控制良好的公开可用数据集。对这些组织的分析揭示了不同组织中感染性病毒载量的空间差异,以及整个雪貂呼吸道中感染性病毒滴度的不同依赖关系,这取决于IAV的亚型和序列身份。总的来说,该数据集增强了我们对IAV毒株对人类健康构成威胁的多样性异质性的理解,正如在哺乳动物感染急性阶段收集的组织中所观察到的那样,并使后续的深入分析能够跨越广泛的数据科学、统计和建模方法。重要性三个r(减少、改良和替代,它们规范着科学研究中动物的伦理和人道使用)迫使研究者考虑使用最少数量的动物来最大化体内实验的价值和影响的方法。实现这一目标的一种方法是汇总和公开分享多项研究的结果,以供后续调查。本资源报告描述了这样一个数据集,报告了接种后第三天在甲型流感病毒感染的雪貂的多个组织中检测到的传染性病毒滴度,这些数据来自一个研究小组几十年来进行的研究。我们提供了最佳实践的使用说明,以告知其他研究人员对这些数据的分析,并报告探索性研究的结果,说明可以通过这种性质的分析得出的结论。其他具有类似历史档案的组织将来公开发布类似的数据集时,可以参考本文所描述的实践和格式。
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
mSphere
mSphere Immunology and Microbiology-Microbiology
CiteScore
8.50
自引率
2.10%
发文量
192
审稿时长
11 weeks
期刊介绍: mSphere™ is a multi-disciplinary open-access journal that will focus on rapid publication of fundamental contributions to our understanding of microbiology. Its scope will reflect the immense range of fields within the microbial sciences, creating new opportunities for researchers to share findings that are transforming our understanding of human health and disease, ecosystems, neuroscience, agriculture, energy production, climate change, evolution, biogeochemical cycling, and food and drug production. Submissions will be encouraged of all high-quality work that makes fundamental contributions to our understanding of microbiology. mSphere™ will provide streamlined decisions, while carrying on ASM''s tradition for rigorous peer review.
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