Department of Medicine, Center for Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Department of Medicine, Center for Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; German Center for Infection Research (DZIF) Hamburg-Lübeck-Borstel Sides, Germany.
J Hepatol. 2016 Apr;64(1 Suppl):S17-S31. doi: 10.1016/j.jhep.2016.02.012.
Chronic infection with the hepatitis B virus (HBV) affects an estimate of 240 million people worldwide despite the availability of a preventive vaccine. Medication to repress viral replication is available but a cure is rarely achieved. The narrow species and tissue tropism of the virus and the lack of reliable in vitro models and laboratory animals susceptible to HBV infection, have limited research progress in the past. As a result, several aspects of the HBV life cycle as well as the network of virus host interactions occurring during the infection are not yet understood. Only recently, the identification of the functional cellular receptor enabling HBV entry has opened new possibilities to establish innovative infection systems. Regarding the in vivo models of HBV infection, the classical reference was the chimpanzee. However, because of the strongly restricted use of great apes for HBV research, major efforts have focused on the development of mouse models of HBV replication and infection such as the generation of humanized mice. This review summarizes the animal and cell culture based models currently available for the study of HBV biology. We will discuss the benefits and caveats of each model and present a selection of the most important findings that have been retrieved from the respective systems.
尽管有预防疫苗,但乙型肝炎病毒 (HBV) 的慢性感染仍影响着全球约 2.4 亿人。有抑制病毒复制的药物,但很少能治愈。病毒的窄种和组织嗜性,以及缺乏可靠的体外模型和易感染 HBV 的实验动物,过去限制了研究进展。因此,HBV 生命周期的几个方面以及感染过程中发生的病毒-宿主相互作用网络尚不清楚。直到最近,HBV 进入的功能性细胞受体的鉴定为建立创新的感染系统开辟了新的可能性。关于 HBV 感染的体内模型,经典的参考是黑猩猩。然而,由于对大型类人猿在 HBV 研究中的使用受到严格限制,因此主要努力集中在开发能够复制和感染 HBV 的小鼠模型上,例如生成人源化小鼠。这篇综述总结了目前用于研究 HBV 生物学的动物和细胞培养模型。我们将讨论每种模型的优缺点,并从各个系统中选择最重要的发现进行介绍。