Human Liver Organoid Models for Assessment of Drug Toxicity at the Preclinical Stage

类有机物 诱导多能干细胞 药品 药物发现 生物 药物代谢 毒性 药物开发 戒毒(替代医学) 药理学 计算生物学 生物信息学 胚胎干细胞 医学 细胞生物学 病理 内科学 基因 生物化学 替代医学
作者
Mustafa Karabicici,Soheil Akbari,Özge Ertem,Mukaddes Gümüştekin,Esra Erdal
出处
期刊:Endocrine, metabolic & immune disorders [Bentham Science Publishers]
卷期号:23 (14): 1713-1724 被引量:5
标识
DOI:10.2174/1871530323666230411100121
摘要

The hepatotoxicity of drugs is one of the leading causes of drug withdrawal from the pharmaceutical market and high drug attrition rates. Currently, the commonly used hepatocyte models include conventional hepatic cell lines and animal models, which cannot mimic human drug-induced liver injury (DILI) due to poorly defined dose-response relationships and/or lack of human-specific mechanisms of toxicity. In comparison to 2D culture systems from different cell sources such as primary human hepatocytes and hepatomas,, 3D organoids derived from an inducible pluripotent stem cell (iPSC) or adult stem cells are promising accurate models to mimic organ behavior with a higher level of complexity and functionality owing to their ability to self-renewal. Meanwhile, the heterogeneous cell composition of the organoids enables metabolic and functional zonation of hepatic lobule important in drug detoxification and has the ability to mimic idiosyncratic DILI as well. Organoids having higher drug-metabolizing enzyme capacities can culture long-term and be combined with microfluidic-based technologies such as organ-on-chips for a more precise representation of human susceptibility to drug response in a high-throughput manner. However, there are numerous limitations to be considered about this technology, such as enough maturation, differences between protocols and high cost. Herein, we first reviewed the current preclinical DILI assessment tools and looked at the organoid technology with respect to in vitro detoxification capacities. Then we discussed the clinically applicable DILI assessment markers and the importance of liver zonation in the next generation organoid-based DILI models.
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