Huang Yujia, Guo Andrew, Adams Gordon, Lemieux Jacob E, Myhrvold Cameron
Department of Molecular Biology, Princeton University, Princeton, NJ 08544.
Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114.
medRxiv. 2025 Aug 26:2025.08.21.25334105. doi: 10.1101/2025.08.21.25334105.
Avian influenza viruses (AIVs) are zoonotic pathogens that pose an increasing global threat due to their potential for significant economic losses in agriculture, spillover into humans, and the risk of a pandemic should human-to-human transmission occur. These concerns underscore the need for rapid, sensitive and specific tools to detect and differentiate circulating AIV subtypes and clades. Current AIV diagnostic methods rely on specialized equipment and trained personnel, limiting their use in the field and in low-resource settings. Here, we extended SHINE (Streamlined Highlighting of Infections to Navigate Epidemics), a CRISPR-based platform, to detect and subtype AIVs. We designed, optimized, and validated SHINE assay for the H5 AIV detection using both fluorescence and lateral flow readout, achieving 100% specificity with PCR-based assays when tested on seasonal influenza-positive clinical samples, and a limit of detection of 121.7 copies/μL on vaccine-derived H5 viral seedstocks. To expand the scope of avian influenza detection, we also designed and validated a SHINE assay targeting the 2.3.4.4b A(H5N1) lineage, in response to the ongoing H5N1 outbreak in cattle in the United States, and a SHINE assay specific to Eurasian H7 lineage to discriminate against North American H7 lineage. Together, these SHINE assays offer a promising platform for AIV diagnosis and surveillance, particularly in settings with limited laboratory infrastructure.
禽流感病毒(AIVs)是一种人畜共患病原体,因其有可能给农业带来重大经济损失、传播给人类以及一旦发生人际传播就有引发大流行的风险,从而对全球构成日益严重的威胁。这些担忧凸显了需要快速、灵敏且特异的工具来检测和区分正在传播的AIV亚型和进化枝。当前的AIV诊断方法依赖专门设备和训练有素的人员,限制了它们在现场和资源匮乏环境中的使用。在此,我们扩展了基于CRISPR的平台SHINE(Streamlined Highlighting of Infections to Navigate Epidemics),以检测AIV并对其进行亚型分类。我们设计、优化并验证了用于检测H5 AIV的SHINE检测方法,该方法使用荧光和侧向流动读数,在季节性流感阳性临床样本上进行测试时,与基于PCR的检测方法相比特异性达到100%,在疫苗衍生的H5病毒种毒上检测限为121.7拷贝/μL。为了扩大禽流感检测范围,我们还设计并验证了一种针对2.3.4.4b A(H5N1)谱系的SHINE检测方法,以应对美国正在发生的牛群H5N1疫情,以及一种针对欧亚H7谱系的特异性SHINE检测方法,以区分北美H7谱系。总之,这些SHINE检测方法为AIV诊断和监测提供了一个有前景的平台,特别是在实验室基础设施有限的环境中。