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编辑亮点:基于肝脂肪变性不良结局途径网络的机制毒性测试。

Editor's Highlight: Mechanistic Toxicity Tests Based on an Adverse Outcome Pathway Network for Hepatic Steatosis.

机构信息

National Health and Environmental Effects Research Laboratory , United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA.

出版信息

Toxicol Sci. 2017 Sep 1;159(1):159-169. doi: 10.1093/toxsci/kfx121.

Abstract

Risk assessors use liver endpoints in rodent toxicology studies to assess the safety of chemical exposures. Yet, rodent endpoints may not accurately reflect human responses. For this reason and others, human-based invitro models are being developed and anchored to adverse outcome pathways to better predict adverse human health outcomes. Here, a networked adverse outcome pathway-guided selection of biology-based assays for lipid uptake, lipid efflux, fatty acid oxidation, and lipid accumulation were developed. These assays were evaluated in a metabolically competent human hepatocyte cell model (HepaRG) exposed to compounds known to cause steatosis (amiodarone, cyclosporine A, and T0901317) or activate lipid metabolism pathways (troglitazone, Wyeth-14,643, and 22(R)-hydroxycholesterol). All of the chemicals activated at least one assay, however, only T0901317 and cyclosporin A dose-dependently increased lipid accumulation. T0901317 and cyclosporin A increased fatty acid uptake, decreased lipid efflux (inferred from apolipoprotein B100 levels), and increased fatty acid synthase protein levels. Using this biologically-based evaluation of key events regulating hepatic lipid levels, we demonstrated dysregulation of compensatory pathways that normally balance hepatic lipid levels. This approach may provide biological plausibility and data needed to increase confidence in linking invitro-based measurements to chemical effects on adverse human health outcomes.

摘要

风险评估人员在啮齿动物毒理学研究中使用肝脏终点来评估化学暴露的安全性。然而,啮齿动物终点可能无法准确反映人类的反应。出于这个原因和其他原因,正在开发基于人体的体外模型,并将其锚定到不良结局途径,以更好地预测对人类健康的不良影响。在这里,开发了一种基于网络的不良结局途径指导的生物学测定选择,用于脂质摄取、脂质外排、脂肪酸氧化和脂质积累。这些测定方法在代谢功能齐全的人肝细胞模型(HepaRG)中进行了评估,该模型暴露于已知会导致脂肪变性的化合物(胺碘酮、环孢素 A 和 T0901317)或激活脂质代谢途径的化合物(曲格列酮、Wyeth-14643 和 22(R)-羟基胆固醇)。所有的化学物质都至少激活了一种测定方法,但是只有 T0901317 和环孢素 A 呈剂量依赖性地增加了脂质积累。T0901317 和环孢素 A 增加了脂肪酸摄取,减少了脂质外排(从载脂蛋白 B100 水平推断),并增加了脂肪酸合酶蛋白水平。通过对调节肝脏脂质水平的关键事件进行基于生物学的评估,我们证明了代偿途径的失调,这些途径通常可以平衡肝脏脂质水平。这种方法可以提供生物学上的合理性和将基于体外的测量与化学物质对人类健康不良影响联系起来所需的数据,从而增加信心。

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本文引用的文献

1
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
Environ Sci Technol. 2017 Apr 18;51(8):4661-4672. doi: 10.1021/acs.est.6b06230. Epub 2017 Apr 7.
2
Contextualizing Hepatocyte Functionality of Cryopreserved HepaRG Cell Cultures.
Drug Metab Dispos. 2016 Sep;44(9):1463-79. doi: 10.1124/dmd.116.069831. Epub 2016 Jun 23.
3
Advantageous use of HepaRG cells for the screening and mechanistic study of drug-induced steatosis.
Toxicol Appl Pharmacol. 2016 Jul 1;302:1-9. doi: 10.1016/j.taap.2016.04.007. Epub 2016 Apr 16.
4
Tipping the Balance: Hepatotoxicity and the 4 Apical Key Events of Hepatic Steatosis.
Toxicol Sci. 2016 Apr;150(2):261-8. doi: 10.1093/toxsci/kfw018. Epub 2016 Mar 15.
5
High-Throughput Screening of Chemical Effects on Steroidogenesis Using H295R Human Adrenocortical Carcinoma Cells.
Toxicol Sci. 2016 Apr;150(2):323-32. doi: 10.1093/toxsci/kfw002. Epub 2016 Jan 18.
7
Adverse outcome pathway (AOP) development I: strategies and principles.
Toxicol Sci. 2014 Dec;142(2):312-20. doi: 10.1093/toxsci/kfu199.
8
Molecular pathways in non-alcoholic fatty liver disease.
Clin Exp Gastroenterol. 2014 Jul 5;7:221-39. doi: 10.2147/CEG.S62831. eCollection 2014.
10
Nonalcoholic fatty liver disease: molecular mechanisms for the hepatic steatosis.
Clin Mol Hepatol. 2013 Sep;19(3):210-5. doi: 10.3350/cmh.2013.19.3.210. Epub 2013 Sep 30.

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