Toxicology Department, 71899National Institute for Occupational Health, Johannesburg, South Africa.
HCTm CO, LTD, Majang-myeon, Icheon, South Korea.
Int J Toxicol. 2020 Sep/Oct;39(5):397-421. doi: 10.1177/1091581820938335. Epub 2020 Jul 16.
Despite several studies addressing nanoparticle (NP) interference with conventional toxicity assay systems, it appears that researchers still rely heavily on these assays, particularly for high-throughput screening (HTS) applications in order to generate "big" data for predictive toxicity approaches. Moreover, researchers often overlook investigating the different types of interference mechanisms as the type is evidently dependent on the type of assay system implemented. The approaches implemented in the literature appear to be not adequate as it often addresses only one type of interference mechanism with the exclusion of others. For example, interference of NPs that have entered cells would require intracellular assessment of their interference with fluorescent dyes, which has so far been neglected. The present study investigated the mechanisms of interference of gold NPs and silver NPs in assay systems implemented in HTS including optical interference as well as adsorption or catalysis. The conventional assays selected cover all optical read-out systems, that is, absorbance (XTT toxicity assay), fluorescence (CytoTox-ONE Homogeneous membrane integrity assay), and luminescence (CellTiter Glo luminescent assay). Furthermore, this study demonstrated NP quenching of fluorescent dyes also used in HTS (2',7'-dichlorofluorescein, propidium iodide, and 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethyl-benzamidazolocarbocyanin iodide). To conclude, NP interference is, as such, not a novel concept, however, ignoring this aspect in HTS may jeopardize attempts in predictive toxicology. It should be mandatory to report the assessment of all mechanisms of interference within HTS, as well as to confirm results with label-free methodologies to ensure reliable big data generation for predictive toxicology.
尽管有几项研究涉及纳米粒子(NP)对常规毒性检测系统的干扰,但研究人员似乎仍然严重依赖这些检测系统,特别是对于高通量筛选(HTS)应用,以便为预测性毒性方法生成“大数据”。此外,研究人员经常忽略研究不同类型的干扰机制,因为类型显然取决于所实施的检测系统类型。文献中实施的方法似乎不够充分,因为它通常只解决一种干扰机制,而排除其他机制。例如,已经进入细胞的 NPs 的干扰需要对其与荧光染料的干扰进行细胞内评估,而这迄今为止一直被忽视。本研究调查了金 NPs 和银 NPs 在 HTS 中实施的检测系统中的干扰机制,包括光学干扰以及吸附或催化。所选的常规检测涵盖了所有光学读出系统,即吸光度(XTT 毒性检测)、荧光(CytoTox-ONE 均相膜完整性检测)和发光(CellTiter Glo 发光检测)。此外,本研究还证明了 NPs 对荧光染料的猝灭作用,这些荧光染料也用于 HTS(2',7'-二氯荧光素、碘化丙啶和 5,5',6,6'-四氯-1,1',3,3'-四乙基苯并咪唑羰花青碘化物)。总之,NP 干扰并不是一个新概念,然而,在 HTS 中忽略这一方面可能会危及预测毒理学的尝试。有必要报告 HTS 中所有干扰机制的评估情况,并使用无标记方法确认结果,以确保为预测毒理学生成可靠的大数据。