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General chelating action of copper, zinc and iron in mammalian cells

机译:铜,锌和铁在哺乳动物细胞中的一般螯合作用

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The high-accuracy determination of trace metals in biological systems is a crucial step for the elucidation of their role in these systems. We investigated the influence of the most commonly used intracellular metal chelators, N,N,N,N'-tetrakis(2-pyridylmethyl)ethylenediamine (TPEN), triethylenetetramine (Trien) and N.N-diethyldithiocarbamate (DeDTC), on the concentration of Cu, Fe and Zn in mammalian cells. We analyzed the influence of the chelator type, concentration and time of exposure on cultured cells. The obtained data were used to formulate a general equation for evaluating how each metal concentration is influenced by experimental conditions. For this purpose, an analytical method was developed to determine Cu, Fe and Zn concentrations in cells using graphite furnace atomic absorption spectroscopy with low sample handling and direct injection of the solid (SSGF-AAS). We used non-adherent human lymphoma U937 cells as a model, and these cells received each chelator at different concentrations and exposure times. We used a factorial design to determine models to describe Cu, Fe and Zn concentrations in cells. Analyses using cubic equation models showed that the chelator type is the most relevant factor for the three metals. Our results suggest that chelation therapy in cultured cells changes intracellular Cu, Fe and Zn concentrations in a more complex manner than currently described in the literature. For Cu, Zn and Fe variations inside the cell, the chelator type is important, and for zinc, the time of exposure and the concentration of the chelator are also important.
机译:高精度测定生物系统中的痕量金属是阐明其在这些系统中作用的关键步骤。我们调查了最常用的细胞内金属螯合剂N,N,N,N'-四(2-吡啶基甲基)乙二胺(TPEN),三亚乙基四胺(Trien)和NN-二乙基二硫代氨基甲酸酯(DeDTC)的影响,哺乳动物细胞中的铁和锌。我们分析了螯合剂类型,浓度和暴露时间对培养细胞的影响。所获得的数据用于制定一个通用方程式,以评估每种金属浓度如何受到实验条件的影响。为此目的,开发了一种分析方法,该方法使用石墨炉原子吸收光谱法以低样品处理和直接进样固体(SSGF-AAS)的方法测定电池中的Cu,Fe和Zn浓度。我们使用非贴壁人类淋巴瘤U937细胞作为模型,这些细胞以不同的浓度和暴露时间接受每种螯合剂。我们使用析因设计来确定描述细胞中Cu,Fe和Zn浓度的模型。使用三次方程模型的分析表明,螯合剂类型是三种金属中最相关的因素。我们的结果表明,与目前文献中描述的方法相比,在培养细胞中进行螯合治疗会以更复杂的方式改变细胞内铜,铁和锌的浓度。对于电池内部的Cu,Zn和Fe变化,螯合剂类型很重要,而对于锌,暴露时间和螯合剂浓度也很重要。

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