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A mathematical modelling approach to assessing the reliability of biomarkers of glutathione metabolism

机译:评估谷胱甘肽代谢生物标志物可靠性的数学建模方法

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摘要

One of the main pathways for the detoxification of reactive metabolites in the liver involves glutathione conjugation. Metabolic profiling studies have shown paradoxical responses in glutathione-related biochemical pathways. One of these is the increase in 5-oxoproline and ophthalmic acid concentrations with increased dosage of paracetamol. Experimental studies have thus far failed to resolve these paradoxes and the robustness of how these proposed biomarkers correlate with liver glutathione levels has been questioned. To better understand how these biomarkers behave in the glutathione system a kinetic model of this pathway was made. By using metabolic control analysis and by simulating biomarker levels under a variety of conditions, we found that 5-oxoproline and ophthalmic acid concentrations may not only depend on the glutathione but also on the methionine status of the cell. We show that neither of the two potential biomarkers are reliable on their own since they need additional information about the methionine status of the system to relate them uniquely to intracellular glutathione concentration. However, when both biomarkers are measured simultaneously a direct inference of the glutathione concentration can be made, irrespective of the methionine concentration in the system.
机译:肝脏中反应性代谢产物解毒的主要途径之一是谷胱甘肽结合。代谢谱分析研究表明谷胱甘肽相关的生化途径中存在悖论。其中之一是随着对乙酰氨基酚剂量的增加,5-氧代脯氨酸和邻苯二甲酸的浓度增加。迄今为止,实验研究未能解决这些悖论,并且人们质疑这些提议的生物标志物与肝谷胱甘肽水平之间如何相关的鲁棒性。为了更好地理解这些生物标记物在谷胱甘肽系统中的行为,建立了该途径的动力学模型。通过使用代谢控制分析和模拟各种条件下的生物标志物水平,我们发现5-氧代脯氨酸和邻苯二甲酸浓度可能不仅取决于谷胱甘肽,而且取决于细胞的蛋氨酸状态。我们表明,这两个潜在的生物标志物都不是靠自身可靠的,因为它们需要有关系统蛋氨酸状态的其他信息,以将它们与细胞内谷胱甘肽浓度唯一相关。但是,当同时测量两个生物标志物时,可以直接推断出谷胱甘肽的浓度,而与系统中甲硫氨酸的浓度无关。

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