Kieran Troy J, Sun Xiangjie, Tumpey Terrence M, Maines Taronna R, Belser Jessica A
Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
mSphere. 2025 Sep 30;10(9):e0034625. doi: 10.1128/msphere.00346-25. Epub 2025 Sep 8.
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 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.
雪貂模型被广泛用于研究从多种禽类和哺乳动物物种中分离出的甲型流感病毒(IAV),因为IAV通常在雪貂的呼吸道中复制,无需事先适应宿主。在标准的IAV风险评估中,通常在接种后固定时间点从雪貂身上采集组织,以评估其全身传播能力。在此,我们描述了一个数据集,该数据集来自300多只接种了100多种独特IAV(包括H1、H2、H3、H5、H7和H9 IAV亚型,来源包括哺乳动物和人畜共患病源)的雪貂,在接种后3天从呼吸道和肺外部位采集的组织中的病毒滴度。所有实验均由一个研究小组按照统一的实验方案进行,这使其成为迄今为止最大的、经过良好控制的、可公开获取的、按每只雪貂水平报告的离散组织滴度数据集。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相互依赖性,这取决于IAV的亚型和序列同一性。总体而言,该数据集增强了我们对在哺乳动物感染急性期采集的组织中观察到的、对人类健康构成威胁的IAV毒株所表现出的多样异质性的理解,并使得能够随后进行一系列深入分析,涵盖广泛的数据科学、统计和建模方法。
重要性
“3R原则”(减少、优化和替代,它们指导着在科学研究中对动物进行符合伦理和人道的使用)促使研究人员思考如何以最少的动物数量来最大化实验的价值和影响。实现这一目标的一种方法是汇总并公开分享多项研究的结果以供后续研究。本资源报告描述了这样一个数据集,报告了甲型流感病毒感染的雪貂在接种后第3天在多个组织中检测到的感染性病毒滴度,这些数据是从一个研究小组在几十年间进行的研究中汇总而来的。我们提供了最佳实践的使用说明,以指导其他研究人员对这些数据进行分析,并报告探索性研究的结果,这些结果说明了通过这种性质的分析可以得出的结论。其他拥有类似历史档案的小组未来可能会参考本文所述的做法和格式来公开发布类似的数据集。