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Study of Metabolic Profiling Changes in Colorectal Cancer Tissues Using 1D ~1H HR-MAS NMR Spectroscopy

机译:使用1D〜1H HR-MAS NMR光谱研究大肠癌组织中代谢谱分析的变化

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摘要

Metabolomics is a field that studies systematic dynamics and secretion of metabolites from cells to understand biological pathways based on metabolite changes. The metabolic profiling of intact human colorectal tissues was performed using high-resolution magic angle spinning (HR-MAS) NMR spectroscopy, which was unnecessary to extract metabolites from tissues. We used two different groups of samples, which were defined as normal and cancer, from 9 patients with colorectal cancer and investigated the samples in NMR experiments with a water suppression pulse sequence. We applied target profiling and multivariative statistical analysis to the analyzed 1D NMR spectra to identify the metabolites and discriminate between normal and cancer tissues. Cancer tissue showed higher levels of arginine, betaine, glutamate, lysine, taurine and lower levels of glutamine, hypoxanthine, isoleucine, lactate, methionine, pyruvate, tyrosine relative to normal tissue. In the OPLS-DA (orthogonal partial least square discriminant analysis), the score plot showed good separation between the normal and cancer groups. These results suggest that metabolic profiling of colorectal cancer could provide new biomarkers.
机译:代谢组学是研究系统动力学和细胞代谢物分泌以了解基于代谢物变化的生物学途径的领域。使用高分辨率魔角旋转(HR-MAS)NMR光谱仪对完整的人类结直肠组织进行代谢谱分析,这对于从组织提取代谢物而言是不必要的。我们使用了来自9位大肠癌患者的两组不同的样品,分别定义为正常样品和癌症样品,并在NMR实验中使用水抑制脉冲序列对样品进行了研究。我们对分析的1D NMR光谱应用了目标分析和多变量统计分析,以识别代谢产物并区分正常组织和癌组织。相对于正常组织,癌症组织显示出较高水平的精氨酸,甜菜碱,谷氨酸,赖氨酸,牛磺酸和较低水平的谷氨酰胺,次黄嘌呤,异亮氨酸,乳酸,蛋氨酸,丙酮酸,酪氨酸。在OPLS-DA(正交偏最小二乘判别分析)中,得分图显示正常组和癌症组之间的良好分隔。这些结果表明,结直肠癌的代谢谱分析可以提供新的生物标志物。

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