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A new cytotoxicity assessment method using concentration amp; time cellular response curves

机译:利用浓度和时间细胞反应曲线的细胞毒性评估新方法

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Many toxicity indices have been developed to assess the cytotoxicity, such as LC50, AUC50 and KC50 and so on. Comparing to the end-point indices (such as LC50), the dynamic indices (AUC50, KC50) can capture the kinematic information of cell growth inhibition or cell damage. However, those dynamic indices are very sensitive to the experimental noise and the shape of cellular response curve. In order to overcome those problems, a new toxicity index, named DC50 using the Fast Fourier transform (FFT) algorithm, was proposed in this study. The proposed index describes cellular kinematic behavior when cells exposed to the test chemical. Bio-experiment of HepG2 cell line exposure to 14 test chemicals was used to demonstrate theperformance of DC50. According to the analysis using the Register Cytotoxicity (RC) model, the correlation between DC50 and LD50 75.98% and the proposed cytotoxicity assessment method can be an alternative to the traditional cell based in-vitro assay.
机译:已经开发了许多毒性指标来评估细胞毒性,例如LC50,AUC50和KC50等。与终点指标(例如LC50)相比,动态指标(AUC50,KC50)可以捕获细胞生长抑制或细胞损伤的运动学信息。但是,这些动态指标对实验噪声和细胞反应曲线的形状非常敏感。为了克服这些问题,本研究提出了一种新的毒性指数,使用快速傅里叶变换(FFT)算法命名为DC50。拟议的索引描述了当细胞暴露于测试化学品时的细胞运动学行为。 HepG2细胞系暴露于14种测试化学品的生物实验用于证明DC50的性能。根据使用注册细胞毒性(RC)模型进行的分析,DC50和LD50 75.98%之间的相关性以及拟议的细胞毒性评估方法可以替代传统的基于细胞的体外测定。

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