Du Nana, Chen Jing, Liu Yuwei
Department of Laboratory Medicine, School of Medicine, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, 212003, P.R. China.
Arch Virol. 2025 Jul 8;170(8):175. doi: 10.1007/s00705-025-06367-6.
Enterovirus infection remains a significant global public health challenge, causing severe diseases such as hand, foot, and mouth disease (HFMD) and meningitis. Given the current lack of effective broad-spectrum antiviral therapies, it is important to investigate the pathogenic mechanisms of viruses using animal models in order to accelerate the development of intervention strategies. This review systematically examines the progress in the development of animal models for enterovirus research, with particular emphasis on non-human primates, rodents, and non-viral infection models. Non-human primates are considered ideal for studying natural enterovirus infections due to their high degree of physiological and immunological similarity to humans. Rodent models, while cost-effective and relatively easy to handle, often rely on the use of viruses with adaptive mutations or immunodeficient animals, which may not fully replicate the human immune response. Non-viral infection models can be used to obtain novel insights into virus-host interactions. Current challenges include the need to overcome discrepancies between animal models and human disease phenotypes, as well as the limitations imposed by the host specificity of viral strains. Future research should integrate multi-omics technologies, organoids, and artificial intelligence to optimize model construction, advance translational research, and provide precise tools for enterovirus prevention and control.
肠道病毒感染仍然是一项重大的全球公共卫生挑战,可引发如手足口病(HFMD)和脑膜炎等严重疾病。鉴于目前缺乏有效的广谱抗病毒疗法,利用动物模型研究病毒的致病机制对于加速干预策略的开发至关重要。本综述系统地审视了肠道病毒研究动物模型开发的进展,特别着重于非人灵长类动物、啮齿动物和非病毒感染模型。由于非人灵长类动物在生理和免疫方面与人类高度相似,它们被认为是研究自然肠道病毒感染的理想选择。啮齿动物模型虽然具有成本效益且相对易于操作,但通常依赖使用具有适应性突变的病毒或免疫缺陷动物,这可能无法完全复制人类免疫反应。非病毒感染模型可用于获得关于病毒与宿主相互作用的新见解。当前的挑战包括需要克服动物模型与人类疾病表型之间的差异,以及病毒株宿主特异性所带来的限制。未来的研究应整合多组学技术、类器官和人工智能,以优化模型构建、推进转化研究,并为肠道病毒的预防和控制提供精确工具。