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利用对乙酰氨基酚、胺碘酮和环孢素 A 作为模型化合物,在原代小鼠肝细胞中进行药物诱导肝毒性的筛选:一种组学指导的方法。

Screening for drug-induced hepatotoxicity in primary mouse hepatocytes using acetaminophen, amiodarone, and cyclosporin a as model compounds: an omics-guided approach.

机构信息

Department of Human Biology, Maastricht University, Maastricht, The Netherlands.

出版信息

OMICS. 2013 Feb;17(2):71-83. doi: 10.1089/omi.2012.0079. Epub 2013 Jan 11.

Abstract

Drug-induced hepatotoxicity is a leading cause of attrition for candidate pharmaceuticals in development. New preclinical screening methods are crucial to predict drug toxicity prior to human studies. Of all in vitro hepatotoxicity models, primary human hepatocytes are considered as 'the gold standard.' However, their use is hindered by limited availability and inter-individual variation. These barriers may be overcome by using primary mouse hepatocytes. We used differential in gel electrophoresis (DIGE) to study large-scale protein expression of primary mouse hepatocytes. These hepatocytes were exposed to three well-defined hepatotoxicants: acetaminophen, amiodarone, and cyclosporin A. Each hepatotoxicant induces a different hepatotoxic phenotype. Based on the DIGE results, the mRNA expression levels of deregulated proteins from cyclosporin A-treated cells were also analyzed. We were able to distinguish cyclosporin A from controls, as well as acetaminophen and amiodarone-treated samples. Cyclosporin A induced endoplasmic reticulum (ER) stress and altered the ER-Golgi transport. Moreover, liver carboxylesterase and bile salt sulfotransferase were differentially expressed. These proteins were associated with a protective adaptive response against cyclosporin A-induced cholestasis. The results of this study are comparable with effects in HepG2 cells. Therefore, we suggest both models can be used to analyze the cholestatic properties of cyclosporin A. Furthermore, this study showed a conserved response between primary mouse hepatocytes and HepG2 cells. These findings collectively lend support for use of omics strategies in preclinical toxicology, and might inform future efforts to better link preclinical and clinical research in rational drug development.

摘要

药物性肝毒性是导致候选药物在研发过程中淘汰的主要原因。新的临床前筛选方法对于在人体研究之前预测药物毒性至关重要。在所有体外肝毒性模型中,原代人肝细胞被认为是“金标准”。然而,由于其可用性有限和个体间的差异,其应用受到限制。这些障碍可以通过使用原代小鼠肝细胞来克服。我们使用差异凝胶电泳(DIGE)来研究原代小鼠肝细胞的大规模蛋白质表达。这些肝细胞暴露于三种明确的肝毒性药物:对乙酰氨基酚、胺碘酮和环孢素 A。每种肝毒性药物都会引起不同的肝毒性表型。根据 DIGE 结果,还分析了环孢素 A 处理细胞中失调蛋白的 mRNA 表达水平。我们能够将环孢素 A 与对照以及对乙酰氨基酚和胺碘酮处理的样本区分开来。环孢素 A 诱导内质网(ER)应激并改变 ER-高尔基体运输。此外,肝羧基酯酶和胆汁盐磺基转移酶的表达也存在差异。这些蛋白与环孢素 A 诱导的胆汁淤积的保护性适应性反应有关。这项研究的结果与 HepG2 细胞的作用相当。因此,我们建议可以使用这两种模型来分析环孢素 A 的胆汁淤积特性。此外,本研究显示原代小鼠肝细胞和 HepG2 细胞之间存在保守的反应。这些发现共同支持在临床前毒理学中使用组学策略,并可能为未来在合理药物开发中更好地将临床前和临床研究联系起来的努力提供信息。

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本文引用的文献

2
The ER-mitochondria interface: the social network of cell death.
Biochim Biophys Acta. 2012 Feb;1823(2):327-34. doi: 10.1016/j.bbamcr.2011.11.018. Epub 2011 Dec 13.
3
Quantitative proteomic analysis of cyclosporine-induced toxicity in a human kidney cell line and comparison with tacrolimus.
J Proteomics. 2011 Dec 21;75(2):677-94. doi: 10.1016/j.jprot.2011.09.005. Epub 2011 Sep 18.
5
Proteomics investigations of drug-induced hepatotoxicity in HepG2 cells.
Toxicol Sci. 2011 Mar;120(1):109-22. doi: 10.1093/toxsci/kfq380. Epub 2010 Dec 16.
6
The role of CYP3A4 in amiodarone-associated toxicity on HepG2 cells.
Biochem Pharmacol. 2011 Feb 1;81(3):432-41. doi: 10.1016/j.bcp.2010.11.002. Epub 2010 Nov 9.
7
Cyclosporine A-sensitive, cyclophilin B-dependent endoplasmic reticulum-associated degradation.
PLoS One. 2010 Sep 28;5(9):e13008. doi: 10.1371/journal.pone.0013008.
8
Biotransformation pathway maps in WikiPathways enable direct visualization of drug metabolism related expression changes.
Drug Discov Today. 2010 Oct;15(19-20):851-8. doi: 10.1016/j.drudis.2010.08.002. Epub 2010 Aug 11.
9
Phase II drug metabolizing enzymes.
Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2010 Jun;154(2):103-16. doi: 10.5507/bp.2010.017.

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