Kieran Troy J, Sun Xiangjie, Maines Taronna R, Belser Jessica A
Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA USA.
Npj Viruses. 2024;2(1):64. doi: 10.1038/s44298-024-00074-w. Epub 2024 Dec 9.
Although assessments of influenza A virus transmissibility in the ferret model play a critical role in pandemic risk evaluations, few studies have investigated which virological data collected from virus-inoculated animals are most predictive of subsequent virus transmission to naïve contacts. We compiled viral titer data from >475 ferrets inoculated with 97 contemporary IAV (including high- and low-pathogenicity avian, swine-origin, and human viruses of multiple HA subtypes) that served as donors for assessments of virus transmission in the presence of direct contact (DCT) or via respiratory droplets (RDT). A diversity of molecular determinants, clinical parameters, and infectious titer measurements and derived quantities were examined to identify which metrics were most statistically supported with transmission outcome. Higher viral loads in nasal wash (NW) specimens were strongly associated with higher transmission frequencies in DCT, but not RDT models. However, viruses that reached peak titers in NW specimens early (day 1 p.i.) were strongly associated with higher transmission in both models. Interestingly, viruses with 'intermediate' transmission outcomes (33-66%) had NW titers and derived quantities more similar to non-transmissible viruses (<33%) in a DCT setting, but with efficiently transmissible viruses (>67%) in a RDT setting. Machine learning was employed to further assess the predictive role of summary measures and varied interpretation of intermediate transmission outcomes in both DCT and RDT models, with models employing these different thresholds yielding high performance metrics against both internal and external datasets. Collectively, these findings suggest that higher viral load in inoculated animals can be predictive of DCT outcomes, whereas the timing of when peak titers are detected in inoculated animals can inform RDT outcomes. Identification that intermediate transmission outcomes should be contextualized relative to the transmission mode assessed provides needed refinement towards improving interpretation of ferret transmission studies in the context of pandemic risk assessment.
尽管在雪貂模型中评估甲型流感病毒的传播性在大流行风险评估中起着关键作用,但很少有研究调查从接种病毒的动物身上收集的哪些病毒学数据最能预测随后病毒向未接触过病毒的接触者的传播。我们汇总了超过475只接种了97种当代甲型流感病毒(包括高致病性和低致病性禽流感病毒、猪源病毒以及多种HA亚型的人类病毒)的雪貂的病毒滴度数据,这些雪貂作为供体用于评估在直接接触(DCT)或通过呼吸道飞沫(RDT)情况下的病毒传播。我们检查了多种分子决定因素、临床参数、感染滴度测量值和派生量,以确定哪些指标在统计学上最能支持传播结果。鼻洗液(NW)标本中较高的病毒载量与DCT模型中较高的传播频率密切相关,但在RDT模型中并非如此。然而,在感染后第1天(p.i.)早期在NW标本中达到峰值滴度的病毒在两种模型中都与较高的传播密切相关。有趣的是,具有“中等”传播结果(33%-66%)的病毒在DCT环境中的NW滴度和派生量与非传播性病毒(<33%)更相似,但在RDT环境中与高效传播性病毒(>67%)更相似。我们采用机器学习进一步评估汇总指标的预测作用以及DCT和RDT模型中对中等传播结果的不同解释,采用这些不同阈值的模型在内部和外部数据集中都产生了高性能指标。总体而言,这些发现表明,接种动物中较高的病毒载量可以预测DCT结果,而在接种动物中检测到峰值滴度的时间可以为RDT结果提供信息。确定中等传播结果应根据所评估的传播模式进行背景化,这为在大流行风险评估背景下改进雪貂传播研究的解释提供了必要的细化。