Zhang Tiantian, Yang Juan, Gao He, Wu Yuwei, Zhao Xinyu, Zhao Hui, Xie Xinqiang, Yang Lingshuang, Li Ying, Wu Qingping
National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
ACS Pharmacol Transl Sci. 2024 Jun 4;7(6):1711-1721. doi: 10.1021/acsptsci.4c00147. eCollection 2024 Jun 14.
Despite the long-standing availability of effective prophylaxis, chronic hepatitis B virus (HBV) infection remains a formidable public health threat. Antiviral treatments can limit viral propagation, but prolonged therapy is necessary to control HBV replication. Robust models of HBV infection are indispensable prerequisites for elucidating viral pathogenesis, delineating virus-host interplay and developing novel therapeutic, preventative countermeasures. Buoyed by advances in molecular techniques and tissue culture systems, investigators have engineered numerous models of the HBV life cycle. However, all current platforms harbor limitations in the recapitulation of natural infection. In this article, we comprehensively review the HBV life cycle, provide an overview of existing HBV infection and replication systems, and succinctly present the benefits and caveats in each model with the primary objective of constructing refined experimental models that closely mimic native viral infection and offering robust support for the ambitious "elimination of hepatitis by 2030" initiative.
尽管长期以来一直有有效的预防措施,但慢性乙型肝炎病毒(HBV)感染仍然是一个巨大的公共卫生威胁。抗病毒治疗可以限制病毒传播,但需要长期治疗来控制HBV复制。强大的HBV感染模型是阐明病毒发病机制、描绘病毒与宿主相互作用以及开发新型治疗和预防对策不可或缺的先决条件。在分子技术和组织培养系统取得进展的推动下,研究人员构建了许多HBV生命周期模型。然而,目前所有的平台在模拟自然感染方面都存在局限性。在本文中,我们全面回顾了HBV生命周期,概述了现有的HBV感染和复制系统,并简要介绍了每个模型的优缺点,主要目的是构建能够紧密模拟天然病毒感染的精确实验模型,并为雄心勃勃的“2030年消除肝炎”倡议提供有力支持。