Department of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands.
Arch Toxicol. 2019 Nov;93(11):3067-3098. doi: 10.1007/s00204-019-02585-5. Epub 2019 Oct 5.
Drug-induced liver injury (DILI) complicates safety assessment for new drugs and poses major threats to both patient health and drug development in the pharmaceutical industry. A number of human liver cell-based in vitro models combined with toxicogenomics methods have been developed as an alternative to animal testing for studying human DILI mechanisms. In this review, we discuss the in vitro human liver systems and their applications in omics-based drug-induced hepatotoxicity studies. We furthermore present bioinformatic approaches that are useful for analyzing toxicogenomic data generated from these models and discuss their current and potential contributions to the understanding of mechanisms of DILI. Human pluripotent stem cells, carrying donor-specific genetic information, hold great potential for advancing the study of individual-specific toxicological responses. When co-cultured with other liver-derived non-parenchymal cells in a microfluidic device, the resulting dynamic platform enables us to study immune-mediated drug hypersensitivity and accelerates personalized drug toxicology studies. A flexible microfluidic platform would also support the assembly of a more advanced organs-on-a-chip device, further bridging gap between in vitro and in vivo conditions. The standard transcriptomic analysis of these cell systems can be complemented with causality-inferring approaches to improve the understanding of DILI mechanisms. These approaches involve statistical techniques capable of elucidating regulatory interactions in parts of these mechanisms. The use of more elaborated human liver models, in harmony with causality-inferring bioinformatic approaches will pave the way for establishing a powerful methodology to systematically assess DILI mechanisms across a wide range of conditions.
药物性肝损伤(DILI)会影响新药的安全性评估,对患者健康和制药行业的药物研发构成重大威胁。为了替代动物试验,研究人类 DILI 机制,已经开发出了许多基于人源肝细胞的体外模型,并结合毒理学基因组学方法。在这篇综述中,我们讨论了基于人源肝细胞的体外系统及其在基于组学的药物诱导肝毒性研究中的应用。我们还介绍了分析这些模型产生的毒理学基因组学数据的生物信息学方法,并讨论了它们对理解 DILI 机制的当前和潜在贡献。携带供体特异性遗传信息的人类多能干细胞在推进个体特异性毒理学反应研究方面具有巨大潜力。当与其他源自肝脏的非实质细胞在微流控装置中共培养时,所得的动态平台使我们能够研究免疫介导的药物超敏反应,并加速个性化药物毒理学研究。灵活的微流控平台还将支持更先进的器官芯片设备的组装,进一步缩小体外和体内条件之间的差距。这些细胞系统的标准转录组分析可以通过因果推断方法进行补充,以提高对 DILI 机制的理解。这些方法涉及能够阐明这些机制部分的调控相互作用的统计技术。使用更复杂的人源肝细胞模型,并结合因果推断生物信息学方法,将为建立一种强大的方法学奠定基础,以便在广泛的条件下系统地评估 DILI 机制。