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Chemical target and pathway toxicity mechanisms defined in primary human cell systems.

机译:在主要人类细胞系统中定义的化学靶标和途径毒性机制。

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INTRODUCTION: The ability to predict the health effects resulting from drug or chemical exposure has been challenging due to the complexity of human biology. Approaches that detect and discriminate a broad range of mechanisms in testing formats that are predictive and yet cost-effective are needed. METHODS: Here, we evaluated the performance of BioMAP systems, primary human cell-based disease models, as a platform for characterization of chemical toxicity mechanisms. For this we tested a set of compounds with known or well-studied mechanisms in a panel of 8 BioMAP assays relevant to human respiratory, skin, immune and vascular exposure sites. RESULTS: We evaluated the ability to detect and distinguish compounds based on mechanisms of action, comparing the BioMAP activity profiles generated in a reduced sample number format to reference database profiles derived from multiple experiments. We also studied the role of BioMAP assay panel size and concentration effects, both of which were found to contribute to the ability to discriminate chemicals and mechanisms. DISCUSSION: Compounds with diverse mechanisms, including modulators of the NFkappaB pathway, microtubule function and mitochondrial activity, could be discriminated and classified into target and pathway mechanisms in both assay formats. Certain inhibitors of mitochondrial function, such as rotenone and sodium azide, but not others, were classified with inducers of endoplasmic reticulum stress, providing insight into the toxicity mechanisms of these agents. This method may have utility in classifying novel agents with unknown modes of action according to their effects on toxicity pathways.
机译:简介:由于人类生物学的复杂性,预测药物或化学物质对健康的影响的能力一直具有挑战性。需要一种方法来检测和区分具有预测性但仍具有成本效益的测试格式中的各种机制。方法:在这里,我们评估了基于原始人细胞疾病模型BioMAP系统的性能,作为表征化学毒性机制的平台。为此,我们在与人体呼吸道,皮肤,免疫和血管接触部位有关的8种BioMAP分析中测试了一组具有已知或经过充分研究的机制的化合物。结果:我们评估了基于作用机理检测和区分化合物的能力,将以减少的样品数格式生成的BioMAP活性谱与从多个实验中获得的参考数据库谱进行了比较。我们还研究了BioMAP分析板尺寸和浓度效应的作用,发现两者均有助于区分化学物质和机理。讨论:可以区分具有多种机制的化合物,包括NFkappaB途径的调节剂,微管功能和线粒体活性,并以两种测定形式将其分类为靶标和途径机制。线粒体功能的某些抑制剂(如鱼藤酮和叠氮化钠),而非其他抑制剂,与内质网应激的诱导剂进行了分类,从而深入了解了这些药剂的毒性机制。该方法可用于根据作用途径对毒性作用未知的新型药物进行分类。

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