F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, Basel 4070, Switzerland.
Toxicol In Vitro. 2013 Aug;27(5):1589-95. doi: 10.1016/j.tiv.2012.08.019. Epub 2012 Aug 28.
Cell-based assays are key tools in drug safety assessment. However, they usually provide only limited information about time-kinetics of a toxic effect and implementing multiple measurements is often complex. To overcome these issues we established an impedance-based approach which is able to differentiate cytostatic from cytotoxic drugs by recording time-kinetics of compound-effects on cells. NIH 3T3 fibroblasts were seeded on xCELLigence® E-plates and impedance was continuously measured over 5 days. The obtained results reflected cytotoxicity and cell proliferation, as confirmed by neutral red uptake in vitro. Based on known toxicants, we established an algorithm able to discriminate cytostatic, cytotoxic and non-toxic compounds based on the shape of the impedance curves. Analyzing impedance curve patterns of additional 37 compounds allowed the identification and differentiation of these distinct effects as results correlated well with previous in vivo findings. We show that impedance-based real-time cell analysis is a convenient tool to characterize and discriminate effects of compounds on cells in a time-dependent and label-free manner. The presented impedance assay could be used to further characterize toxicities observed in vivo or in vitro. Due to the ease of performance it may also be a suitable screening tool.
基于细胞的检测是药物安全性评估的重要工具。然而,它们通常只能提供关于毒性作用时程的有限信息,并且实施多次测量通常很复杂。为了克服这些问题,我们建立了一种基于阻抗的方法,通过记录化合物对细胞的复合效应的时程来区分细胞生长抑制和细胞毒性药物。NIH 3T3 成纤维细胞接种在 xCELLigence® E-plates 上,在 5 天内连续测量阻抗。通过体外中性红摄取证实,获得的结果反映了细胞毒性和细胞增殖。基于已知的毒物,我们建立了一种算法,能够根据阻抗曲线的形状区分细胞生长抑制、细胞毒性和无毒化合物。分析另外 37 种化合物的阻抗曲线模式,允许对这些不同的效应进行识别和区分,因为结果与先前的体内发现很好地相关。我们表明,基于阻抗的实时细胞分析是一种方便的工具,可用于以时间依赖性和无标记的方式对化合物对细胞的作用进行特征描述和区分。所提出的阻抗测定法可用于进一步描述体内或体外观察到的毒性。由于易于操作,它也可能是一种合适的筛选工具。