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人脑肿瘤提取物的质子和磷核磁共振波谱分析及自动数据分类:一项初步研究。

Proton and phosphorus nuclear magnetic resonance spectroscopy of human brain tumor extracts with automatic data classification: a preliminary study.

作者信息

Nadal L, Leray G, Desbarats C, Darcel F, Bansard J Y, Bondon A, de Certaines J D

机构信息

Laboratoire de Résonance Magnétique en Biologie et Médecine, Faculté de Médicine, Université de Rennes I, France.

出版信息

Cell Mol Biol (Noisy-le-grand). 1997 Jul;43(5):659-73.

PMID:9298589
Abstract

High-resolution one-dimensional proton and phosphorus and two dimensional COSY proton Magnetic Resonance Spectroscopy were used to investigate the lipid and carbohydrate metabolism of human brain tumors. Sixteen meningioma (MG) (benign tumors) and ten glioblastoma (GB) (malignant tumors) samples from brain surgery were treated for dual extraction of lipidic and aqueous phases before NMR processing. A highly significant variation of the 1H metabolite spectral pattern was observed between benign and malignant tumors. Double extraction method combined with both 1H and 31P NMR in vitro analyses provided a large set of biochemical information which may be statistically analyzed to elucidate tumor-specific biochemical pathways and to improve interpretation of in vivo spectra.

摘要

采用高分辨率一维质子和磷以及二维化学位移相关谱(COSY)质子磁共振波谱来研究人脑肿瘤的脂质和碳水化合物代谢。对来自脑部手术的16个脑膜瘤(MG,良性肿瘤)和10个胶质母细胞瘤(GB,恶性肿瘤)样本在进行核磁共振处理前进行脂质相和水相的双重提取。在良性和恶性肿瘤之间观察到1H代谢物光谱模式有高度显著的差异。双提取方法结合1H和31P核磁共振体外分析提供了大量的生化信息,这些信息可进行统计分析,以阐明肿瘤特异性生化途径并改善对体内光谱的解释。

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