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The Advantages of Linear Concentration-Response Curves for In Vitro Bioassays with Environmental Samples

机译:线性浓度-响应曲线在环境样品体外生物测定中的优势

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In vitro assays and high-throughput screening (HTS) tools are increasingly being employed as replacements for animal testing, but most concentration-response curves are still evaluated with models developed for animal testing. We argue that application of in vitro assays, particularly reporter gene assays, to environmental samples can benefit from a different approach to concentration-response modeling. First, cytotoxicity often occurs at higher concentrations, especially for weakly acting compounds and in complex environmental mixtures with many components. In these cases, specific effects can be masked by cytotoxicity. Second, for many HTS assays, low effect levels can be precisely quantified because of the low variability of controls in cell-based assays and the opportunity to run many concentrations and replicates when using high-density well-plate formats (e.g., 384 or more wells per plate). Hence, we recommend focusing concentration-response modeling on the lower portion of the concentration-response curve, which is approximately linear. Effect concentrations derived from low-effect level linear concentration-response models facilitate simple derivation of relative effect potencies and the correct application of mixture toxicity models in the calculation of bioanalytical equivalent concentrations. Environ Toxicol Chem 2018;37:2273-2280. (c) 2018 SETAC
机译:体外测定法和高通量筛选(HTS)工具正越来越多地被用作动物试验的替代品,但是大多数浓度-响应曲线仍使用为动物试验开发的模型进行评估。我们认为将体外测定,特别是报道基因测定应用于环境样品,可以受益于浓度响应模型的另一种方法。首先,细胞毒性通常在较高浓度下发生,特别是对于作用较弱的化合物以及具有许多成分的复杂环境混合物而言。在这些情况下,细胞毒性可以掩盖特定的作用。其次,对于许多HTS分析,由于基于细胞的分析中对照的可变性较低,并且在使用高密度孔板格式(例如384或更高)时有机会进行许多浓度和复制的机会,因此可以精确量化低效应水平每板孔数)。因此,我们建议将浓度响应模型集中在浓度响应曲线的下部,该曲线近似线性。从低效应水平线性浓度-响应模型得出的效应浓度有助于简单推导相对效应效价,并有助于混合物毒性模型在生物分析当量浓度计算中的正确应用。 Environ Toxicol Chem 2018; 37:2273-2280。 (c)2018年SETAC

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