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精准切割人肝组织切片建立的异生物质暴露反应个体间差异。

Interindividual variation in response to xenobiotic exposure established in precision-cut human liver slices.

机构信息

Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.

Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.

出版信息

Toxicology. 2014 Sep 2;323:61-9. doi: 10.1016/j.tox.2014.06.007. Epub 2014 Jun 17.

Abstract

Large differences in toxicity responses occur within the human population. In this study we evaluate whether interindividual variation in baseline enzyme activity (EA)/gene expression (GE) levels in liver predispose for the variation in toxicity responses by assessing dose-response relationships for several prototypical hepatotoxicants. Baseline levels of cytochrome-P450 (CYP) GE/EA were measured in precision-cut human liver slices. Slices (n=4-5/compound) were exposed to a dose-range of acetaminophen, aflatoxin B1, benzo(α) pyrene or 2-nitrofluorene. Interindividual variation in induced genotoxicity (COMET-assay and CDKN1A/p21 GE) and cytotoxicity (lactate dehydrogenase-leakage), combined with NQO1- and GSTM1-induced GE-responses for oxidative stress and GE-responses of several CYPs was evaluated. The benchmark dose-approach was applied as a tool to model exposure responses on an individual level. Variation in baseline CYP levels, both GE and EA, can explain variation in compound exposure-responses on an individual level. Network analyses enable the definition of key parameters influencing interindividual variation after compound exposure. For 2-nitrofluorene, this analysis suggests involvement of CYP1B1 in the metabolism of this compound, which represents a novel finding. In this study, GSTM1 which is known to be highly polymorphic within the human population, but so far could not be linked to toxicity in acetaminophen-poisoned patients, is suggested to cause interindividual variability in acetaminophen-metabolism, dependent on the individual's gene expression-responses of CYP-enzymes. This study demonstrates that using interindividual variation within network modelling provides a source for the definition of essential and even new parameters involved in compound-related metabolism. This information might enable ways to make more quantitative estimates of human risks.

摘要

人群中存在毒性反应的巨大差异。在这项研究中,我们通过评估几种典型肝毒物的剂量-反应关系,来评估个体基线酶活性(EA)/基因表达(GE)水平的个体差异是否导致毒性反应的变化。在精密切割的人肝切片中测量细胞色素 P450(CYP)GE/EA 的基线水平。将切片(n=4-5/化合物)暴露于乙酰氨基酚、黄曲霉毒素 B1、苯并(α)芘或 2-硝基芴的剂量范围内。使用彗星试验和 CDKN1A/p21 GE 评估个体间遗传毒性(COMET 试验和 CDKN1A/p21 GE)和细胞毒性(乳酸脱氢酶渗漏)的个体间变异性,结合 NQO1 和 GSTM1 诱导的氧化应激 GE 反应和几种 CYP 的 GE 反应。应用基准剂量方法作为一种工具,在个体水平上对暴露反应进行建模。个体基线 CYP 水平(GE 和 EA)的变异性可以解释化合物暴露反应的个体间变异性。网络分析可以定义化合物暴露后影响个体间变异性的关键参数。对于 2-硝基芴,该分析表明 CYP1B1 参与了该化合物的代谢,这是一个新的发现。在这项研究中,GSTM1 在人群中高度多态性,但迄今为止尚未与乙酰氨基酚中毒患者的毒性相关联,被认为是导致乙酰氨基酚代谢个体间变异性的原因,这取决于个体 CYP 酶的基因表达反应。这项研究表明,使用网络建模中的个体间变异性为定义与化合物相关的代谢中涉及的基本甚至新参数提供了来源。这些信息可能使人们能够更准确地估计人类风险。

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