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基于机制的药物性肝损伤个体化预测的微生理模型。

Microphysiological Models for Mechanistic-Based Prediction of Idiosyncratic DILI.

机构信息

Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street, Baltimore, MD 21201, USA.

Office of New Drugs, Center of Drug Evaluation and Research, FDA, 10903 New Hampshire Ave, Silver Spring, MD 20993, USA.

出版信息

Cells. 2023 May 25;12(11):1476. doi: 10.3390/cells12111476.

DOI:10.3390/cells12111476
PMID:37296597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10253021/
Abstract

Drug-induced liver injury (DILI) is a major contributor to high attrition rates among candidate and market drugs and a key regulatory, industry, and global health concern. While acute and dose-dependent DILI, namely, intrinsic DILI, is predictable and often reproducible in preclinical models, the nature of idiosyncratic DILI (iDILI) limits its mechanistic understanding due to the complex disease pathogenesis, and recapitulation using in vitro and in vivo models is extremely challenging. However, hepatic inflammation is a key feature of iDILI primarily orchestrated by the innate and adaptive immune system. This review summarizes the in vitro co-culture models that exploit the role of the immune system to investigate iDILI. Particularly, this review focuses on advancements in human-based 3D multicellular models attempting to supplement in vivo models that often lack predictability and display interspecies variations. Exploiting the immune-mediated mechanisms of iDILI, the inclusion of non-parenchymal cells in these hepatoxicity models, namely, Kupffer cells, stellate cells, dendritic cells, and liver sinusoidal endothelial cells, introduces heterotypic cell-cell interactions and mimics the hepatic microenvironment. Additionally, drugs recalled from the market in the US between 1996-2010 that were studies in these various models highlight the necessity for further harmonization and comparison of model characteristics. Challenges regarding disease-related endpoints, mimicking 3D architecture with different cell-cell contact, cell source, and the underlying multi-cellular and multi-stage mechanisms are described. It is our belief that progressing our understanding of the underlying pathogenesis of iDILI will provide mechanistic clues and a method for drug safety screening to better predict liver injury in clinical trials and post-marketing.

摘要

药物性肝损伤(DILI)是候选药物和上市药物高淘汰率的主要原因,也是监管、行业和全球健康的关注焦点。虽然急性和剂量依赖性的 DILI,即固有 DILI,在临床前模型中是可预测的,并且通常具有重现性,但由于复杂的疾病发病机制,特发性 DILI(iDILI)的性质限制了其机制理解,并且使用体外和体内模型进行重现极具挑战性。然而,肝脏炎症是 iDILI 的一个关键特征,主要由先天和适应性免疫系统协调。

本综述总结了利用免疫系统作用研究 iDILI 的体外共培养模型。特别是,本综述侧重于基于人类的 3D 多细胞模型的进展,这些模型试图补充体内模型,这些模型通常缺乏可预测性并且表现出种间差异。利用 iDILI 的免疫介导机制,将非实质细胞(即库普弗细胞、星状细胞、树突状细胞和肝窦内皮细胞)纳入这些肝毒性模型中,引入了异质细胞-细胞相互作用并模拟了肝微环境。此外,在美国 1996-2010 年期间从市场召回的用于这些各种模型研究的药物强调了进一步协调和比较模型特征的必要性。

描述了与疾病相关终点、用不同的细胞-细胞接触、细胞来源以及潜在的多细胞和多阶段机制来模拟 3D 结构相关的挑战。我们相信,深入了解 iDILI 的潜在发病机制将提供机制线索和药物安全性筛选方法,以更好地预测临床试验和上市后的肝损伤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2982/10253021/237eae31fb86/cells-12-01476-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2982/10253021/66bc7a101163/cells-12-01476-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2982/10253021/237eae31fb86/cells-12-01476-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2982/10253021/66bc7a101163/cells-12-01476-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2982/10253021/237eae31fb86/cells-12-01476-g002.jpg

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本文引用的文献

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A human liver organoid screening platform for DILI risk prediction.用于 DILI 风险预测的人类肝类器官筛选平台。
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Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology.
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