Development of a tool for measuring uncertainty of acute cytotoxicity results using the methodology of OECD Guidance Document 129.

NAM journal Pub Date : 2025-04-14 eCollection Date: 2025-01-01 DOI:10.1016/j.namjnl.2025.100021
Lorena de O Neves, Bruno C Garrido, José Mauro Granjeiro, Luciene B L Balottin
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Abstract

Despite the use of strict acceptance criteria in validated methods for in vitro toxicology safety non-animal methods, the evaluation of statistical uncertainties in the results and their impact on the reproducibility and reliability of these methods is limited. Technical and operational variations in intra- and inter-laboratory settings can interfere with the results, and measurement uncertainty estimations are crucial for a better understanding of the potential sources of errors and ensuring that the assays are under control. The measurement uncertainty characterizes the dispersion of values, which can be attributed to the measurement results. This study applied the Monte Carlo statistical model to calculate the measurement uncertainty for the half-maximal inhibitory concentration (IC50) of sodium dodecyl sulfate (SDS) using OECD Guidance Document 129. We focused on acute oral cytotoxicity in vitro and developed a specific tool for this purpose. The Monte Carlo method enabled the identification of the contributions to the measurement uncertainty of IC50 and their confidence intervals for the in vitro cytotoxicity assay recommended by OECD GD 129. Furthermore, the statistical tool developed in this study, although specifically applied to OECD GD 129, has the potential to be adapted and extended to other in vitro toxicological assays based on dose-response curves, thus supporting broader applications in New Approach Methodologies (NAMs) by enhancing reproducibility and confidence in alternative methods validation processes. In conclusion, this study demonstrates the effectiveness of the Monte Carlo statistical model in quantifying the measurement uncertainty of sodium dodecyl sulfate (SDS) IC50 values, with a comprehensive analysis yielding a combined IC50 of 34.6 μg/mL with a combined uncertainty of 1.21 μg/mL. These findings highlight the importance of incorporating metrological evaluations to increase the reliability of in vitro methods. By enabling more informed decision-making, this study can significantly contribute to the advancement of toxicological research and NAMs.

开发一种工具,利用经合组织指导文件129的方法测量急性细胞毒性结果的不确定度。
尽管在体外毒理学安全非动物方法的验证方法中使用了严格的接受标准,但对结果的统计不确定性及其对这些方法的可重复性和可靠性的影响的评估是有限的。实验室内部和实验室之间的技术和操作变化可能会干扰结果,测量不确定度估计对于更好地了解潜在的误差来源和确保测定在控制之下至关重要。测量不确定度表征值的分散性,这可归因于测量结果。本研究采用蒙特卡罗统计模型,根据OECD指导文件129计算十二烷基硫酸钠(SDS)的半最大抑制浓度(IC50)的测量不确定度。我们专注于急性口服体外细胞毒性,并为此目的开发了一种特定的工具。蒙特卡罗方法能够确定IC50测量不确定度的贡献及其对OECD GD 129推荐的体外细胞毒性测定的置信区间。此外,本研究开发的统计工具虽然专门应用于OECD gd129,但有可能适用并扩展到其他基于剂量-反应曲线的体外毒理学分析,从而通过提高替代方法验证过程的可重复性和信心,支持在新方法方法(NAMs)中更广泛的应用。综上所述,本研究证明了蒙特卡罗统计模型在量化十二烷基硫酸钠(SDS) IC50值的测量不确定度方面的有效性,综合分析得出的IC50值为34.6 μg/mL,不确定度为1.21 μg/mL。这些发现突出了纳入计量评估以提高体外方法可靠性的重要性。通过使更明智的决策,这项研究可以显著促进毒理学研究和NAMs的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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