应用 HepG2 细胞代谢组学体外预测肝毒性和作用模式。

Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells.

机构信息

BASF SE Experimental Toxicology and Ecology, Carl-Bosch Str.38, 67056, Ludwigshafen Am Rhein, Germany.

Metanomics GmbH, Tegeler Weg 33, 10589, Berlin, Germany.

出版信息

Arch Toxicol. 2018 Feb;92(2):893-906. doi: 10.1007/s00204-017-2079-6. Epub 2017 Sep 30.

Abstract

Liver toxicity is a leading systemic toxicity of drugs and chemicals demanding more human-relevant, high throughput, cost effective in vitro solutions. In addition to contributing to animal welfare, in vitro techniques facilitate exploring and understanding the molecular mechanisms underlying toxicity. New 'omics technologies can provide comprehensive information on the toxicological mode of action of compounds, as well as quantitative information about the multi-parametric metabolic response of cellular systems in normal and patho-physiological conditions. Here, we combined mass-spectroscopy metabolomics with an in vitro liver toxicity model. Metabolite profiles of HepG2 cells treated with 35 test substances resulted in 1114 cell supernatants and 3556 intracellular samples analyzed by metabolomics. Control samples showed relative standard deviations of about 10-15%, while the technical replicates were at 5-10%. Importantly, this procedure revealed concentration-response effects and patterns of metabolome changes that are consistent for different liver toxicity mechanisms (liver enzyme induction/inhibition, liver toxicity and peroxisome proliferation). Our findings provide evidence that identifying organ toxicity can be achieved in a robust, reliable, human-relevant system, representing a non-animal alternative for systemic toxicology.

摘要

肝毒性是药物和化学物质的主要系统性毒性,因此需要更具人类相关性、高通量且具有成本效益的体外解决方案。除了有助于动物福利之外,体外技术还便于探索和理解毒性的分子机制。新的“组学”技术可以提供有关化合物毒性作用模式的综合信息,以及关于正常和病理生理条件下细胞系统多参数代谢反应的定量信息。在这里,我们将质谱代谢组学与体外肝毒性模型相结合。用 35 种测试物质处理 HepG2 细胞后,对 1114 个细胞上清液和 3556 个细胞内样本进行了代谢组学分析。对照样品的相对标准偏差约为 10-15%,而技术重复的相对标准偏差则为 5-10%。重要的是,该程序揭示了不同肝毒性机制(肝酶诱导/抑制、肝毒性和过氧化物酶体增殖)下代谢组变化的浓度反应效应和模式。我们的研究结果表明,在一个稳健、可靠且具有人类相关性的系统中,可以实现对器官毒性的识别,这为系统毒理学提供了一种非动物替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/5818600/307b0c98a6c3/204_2017_2079_Fig1_HTML.jpg

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