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采用高分辨魔角旋转核磁共振(HRMAS1H NMR)技术结合主成分分析(PCA)方法研究了39例人体脑肿瘤组织的代谢组特征.39例肿瘤样本分别来自39个脑肿瘤患者,包括15例低级星形细胞瘤,13例纤维型脑膜瘤和11例过渡型脑膜瘤.核磁共振波谱分析结果表明,脑肿瘤组织的代谢组中主要含有脂肪酸、乳酸、胆碱代谢物(如胆碱、磷酸胆碱和甘油磷酸胆碱)、氨基酸(如丙氨酸、谷氨酸、谷氨酰胺、牛磺酸)、N-乙酰天门冬氨酸(NAA)和谷胱甘肽等代谢物.通过对核磁共振谱进行主成分分析(PCA),发现低级星形细胞瘤和脑膜瘤的代谢组之间具有明显的差异,而在过渡型和纤维型两个亚类脑膜瘤之间该差别相对较小.与脑膜瘤相比,低级星形细胞瘤中甘油磷酸胆碱、磷酸胆碱、肌醇与肌酸的含量较高,而丙氨酸、谷氨酸、谷氨酰胺、谷胱甘肽和牛磺酸的含量较低.NAA的含量在低级星形细胞瘤中尽管较低但能观察到,而脑膜瘤中却未发现NAA的信号.结果表明,HRMAS1H NMR和多变量统计分析相结合的组织代谢组学方法,不仅能有效区分不同类型的脑肿瘤,而且还可以为脑肿瘤提供丰富的代谢组信息,这些信息对研究肿瘤发生发展的机制具有潜在的意义.
Metabolic features of 39 human brain tumor tissues were studied using high-resolution magic angle rotatory nuclear magnetic resonance (HRMAS1H NMR) combined with principal component analysis (PCA) .39 tumor samples from 39 brain tumor patients, including 15 low-grade Astrocytomas, 13 fibrocomeles and 11 transitional meningioma.The results of nuclear magnetic resonance spectroscopy showed that the metabolites of brain tumor mainly contained fatty acid, lactic acid and choline metabolites (such as choline, Alkali and glycerophosphocholine), amino acids (such as alanine, glutamic acid, glutamine, taurine), N-acetyl aspartate (NAA) and glutathione, Resonance spectrum was used for principal component analysis (PCA). There was a clear difference between the low grade astrocytomas and the meningioma metabolome, but this difference was relatively small between the two subtypes of transitional and fibroepithelial meningioma. In low grade astrocytomas, glycerophosphocholine, phosphocholine, inositol and creatine levels are higher than meningiomas, whereas alanine, glutamic acid, glutamine, glutathione, and taurine The acid content is lower .NAA content in low grade astrocytoma Despite its low but observable NAA signal in meningiomas, the results suggest that the combination of HRMAS1H NMR with multivariate statistical analysis of tissue metabonomics can not only effectively distinguish between different types of brain tumors, but also It can provide rich information of metabolic groups for brain tumors, which has potential significance for studying the mechanism of tumor development.