Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA.
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA.
J Hepatol. 2023 May;78(5):998-1006. doi: 10.1016/j.jhep.2023.01.019. Epub 2023 Feb 3.
BACKGROUND & AIMS: Drug-induced liver injury (DILI), both intrinsic and idiosyncratic, causes frequent morbidity, mortality, clinical trial failures and post-approval withdrawal. This suggests an unmet need for improved in vitro models for DILI risk prediction that can account for diverse host genetics and other clinical factors. In this study, we evaluated the utility of human liver organoids (HLOs) for high-throughput DILI risk prediction and in an organ-on-chip system.
HLOs were derived from three separate iPSC lines and benchmarked on two platforms for their ability to model in vitro liver function and identify hepatotoxic compounds using biochemical assays for albumin, ALT, AST, microscopy-based morphological profiling, and single-cell transcriptomics: i) HLOs dispersed in 384-well-formatted plates and exposed to a library of compounds; ii) HLOs adapted to a liver-on-chip system.
Dispersed HLOs derived from the three iPSC lines had similar DILI predictive capacity as intact HLOs in a high-throughput screening format, allowing for measurable IC values of compound cytotoxicity. Distinct morphological differences were observed in cells treated with drugs exerting differing mechanisms of toxicity. On-chip HLOs significantly increased albumin production, CYP450 expression, and ALT/AST release when treated with known hepatoxic drugs compared to dispersed HLOs and primary human hepatocytes. On-chip HLOs were able to predict the synergistic hepatotoxicity of tenofovir-inarigivir and displayed steatosis and mitochondrial perturbation, via phenotypic and transcriptomic analysis, on exposure to fialuridine and acetaminophen, respectively.
The high-throughput and liver-on-chip systems exhibit enhanced in vivo-like functions and demonstrate the potential utility of these platforms for DILI risk assessment. Tenofovir-inarigivr-associated hepatotoxicity was observed and correlates with the clinical manifestation of DILI observed in patients.
Idiosyncratic (spontaneous, patient-specific) drug-induced liver injury (DILI) is difficult to study due to the lack of liver models that function as human liver tissue and are adaptable for large-scale drug screening. Human liver organoids grown from patient stem cells respond to known DILI-causing drugs in both a high-throughput and on a physiological "chip" culture system. These platforms show promise for researchers in their use as predictive models for novel drugs before entering clinical trials and as a potential in vitro diagnostic tool. Our findings support further development of patient-derived liver organoid lines and their use in the context of DILI research.
药物性肝损伤(DILI),无论是内在的还是特发性的,都会导致频繁的发病、死亡、临床试验失败和上市后撤回。这表明需要改进用于 DILI 风险预测的体外模型,以考虑到不同的宿主遗传学和其他临床因素。在这项研究中,我们评估了人类肝类器官(HLO)在高通量 DILI 风险预测中的效用,并在器官芯片系统中进行了评估。
从三个不同的 iPSC 系中获得 HLO,并在两个平台上对其进行评估,以评估其模拟体外肝功能和使用生化测定法识别肝毒性化合物的能力:i)分散在 384 孔格式板中的 HLO,并暴露于化合物库中;ii)适应肝芯片系统的 HLO。
三种 iPSC 系衍生的分散 HLO 与高通量筛选格式中的完整 HLO 具有相似的 DILI 预测能力,允许测量化合物细胞毒性的 IC 值。用不同毒性机制作用的药物处理的细胞观察到明显的形态学差异。与分散的 HLO 和原代人肝细胞相比,在芯片上的 HLO 用已知的肝毒性药物处理后,白蛋白产量、CYP450 表达和 ALT/AST 释放显著增加。在芯片上的 HLO 能够预测替诺福韦-依曲韦林的协同肝毒性,并通过表型和转录组分析,分别在暴露于法昔洛韦和对乙酰氨基酚时显示出脂肪变性和线粒体扰动。
高通量和芯片上系统表现出增强的体内样功能,并证明这些平台在 DILI 风险评估中的潜在效用。观察到与替诺福韦-依曲韦林相关的肝毒性,并与患者中观察到的 DILI 临床表现相关。
由于缺乏能够模拟人类肝脏组织并适应大规模药物筛选的肝脏模型,因此难以研究特发性(自发性、患者特异性)药物性肝损伤(DILI)。从患者干细胞中生长的人类肝类器官对已知的 DILI 致病药物在高通量和生理“芯片”培养系统中均有反应。这些平台有望成为研究人员在进入临床试验之前作为新型药物预测模型的候选者,并作为潜在的体外诊断工具。我们的发现支持进一步开发患者来源的肝类器官系,并将其用于 DILI 研究。