Tasnim Farah, Huang Xiaozhong, Lee Christopher Zhe Wei, Ginhoux Florent, Yu Hanry
Innovations in Food & Chemical Safety Programme, ASTAR, Singapore, Singapore.
Institute of Bioengineering and Nanotechnology, The Nanos, Singapore, Singapore.
Front Toxicol. 2021 Apr 27;3:605392. doi: 10.3389/ftox.2021.605392. eCollection 2021.
Hepatic inflammation is a key feature of a variety of liver diseases including drug-induced liver injury (DILI), orchestrated by the innate immune response (Kupffer cells, monocytes, neutrophils, dendritic cells) and the adaptive immune system (T cells and natural killer T cells). In contrast to acute DILI, prediction of immune-mediated DILI (im-DILI) has been more challenging due to complex disease pathogenesis, lack of reliable models and limited knowledge of underlying mechanisms. This review summarizes and systems that have been used to model im-DILI. In particular, the review focuses on state-of-the-art human-based multicellular models which have been developed to supplement the use of models due to interspecies variation and increasing ethical concerns regarding animal use. Advantages of the co-cultures in maintaining hepatocyte functions and importantly, introducing heterotypic cell-cell interactions to mimic inflammatory hepatic microenvironment are discussed. Challenges regarding cell source and incorporation of different cells with physical cell-cell contact are outlined and potential solutions are proposed. It is likely that better understanding of the interplay of immune cells in liver models will allow for the development of more accurate systems to better predict hepatotoxicity and stratification of drugs that can cause immune-mediated effects.
肝脏炎症是包括药物性肝损伤(DILI)在内的多种肝脏疾病的关键特征,由固有免疫反应(库普弗细胞、单核细胞、中性粒细胞、树突状细胞)和适应性免疫系统(T细胞和自然杀伤T细胞)共同调控。与急性DILI不同,由于疾病发病机制复杂、缺乏可靠模型以及对潜在机制的了解有限,免疫介导的DILI(im-DILI)的预测更具挑战性。本综述总结了已用于模拟im-DILI的模型和系统。特别是,本综述重点关注基于人类的多细胞模型,由于种间差异以及对动物使用的伦理关注增加,这些模型已被开发用于补充动物模型的使用。讨论了共培养在维持肝细胞功能方面的优势,以及重要的是,引入异型细胞间相互作用以模拟炎症性肝脏微环境的优势。概述了关于细胞来源以及将不同细胞与物理性细胞间接触相结合的挑战,并提出了潜在的解决方案。更好地理解肝脏模型中免疫细胞的相互作用可能会促进更准确系统的开发,以更好地预测肝毒性以及对可引起免疫介导效应的药物进行分层。