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首页> 外文期刊>The Journal of toxicological sciences >Mechanism-based risk assessment strategy for drug-induced cholestasis using the transcriptional benchmark dose derived by toxicogenomics
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Mechanism-based risk assessment strategy for drug-induced cholestasis using the transcriptional benchmark dose derived by toxicogenomics

机译:基于机制的风险评估毒性胆汁淤积的风险评估策略使用由毒物学的转录基准剂量衍生的转录基准剂量

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摘要

Cholestasis is one of the major causes of drug-induced liver injury (DILI), which can result in withdrawal of approved drugs from the market. Early identification of cholestatic drugs is difficult due to the complex mechanisms involved. In order to develop a strategy for mechanism-based risk assessment of cholestatic drugs, we analyzed gene expression data obtained from the livers of rats that had been orally administered with 12 known cholestatic compounds repeatedly for 28 days at three dose levels. Qualitative analyses were performed using two statistical approaches (hierarchical clustering and principle component analysis), in addition to pathway analysis. The transcriptional benchmark dose (tBMD) and tBMD 95% lower limit (tBMDL) were used for quantitative analyses, which revealed three compound sub-groups that produced different types of differential gene expression; these groups of genes were mainly involved in inflammation, cholesterol biosynthesis, and oxidative stress. Furthermore, the tBMDL values for each test compound were in good agreement with the relevant no observed adverse effect level. These results indicate that our novel strategy for drug safety evaluation using mechanism based classification and tBMDL would facilitate the application of toxicogenomics for risk assessment of cholestatic DILI.
机译:胆汁淤积是药物诱导的肝损伤(DILI)的主要原因之一,这可能导致从市场上撤离批准的药物。由于涉及的复杂机制,早期鉴定胆汁淤积药物难以。为了制定基于机制的风险评估胆汁淤积药的策略,我们分析了从在三种剂量水平重复施用12种已知的胆管化合物的大鼠肝脏获得的基因表达数据。除了途径分析之外,使用两个统计方法(层次聚类和原理分析分析)进行定性分析。转录基准剂量(TBMD)和TBMD 95%下限(TBMDL)用于定量分析,其显示出产生不同类型的差异基因表达的三个复合子组;这些基因群主要涉及炎症,胆固醇生物合成和氧化应激。此外,每种测试化合物的TBMDL值与相关的不良效果水平吻合良好。这些结果表明,我们使用基于机制的分类和TBMDL的药物安全评估的新型策略将促进毒源组学的应用胆甾醇的风险评估。

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