Metabonomic Characterization of The Low-grade Human Astrocytomas and Meningiomas Using Magic-angle Spinning H-1 Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis | |
Chen Wen-Xue1,2; Lou Hai-Yan3,4; Zhang Hong-Ping5; Nie Xiu6; Xiang Yun1,2; Yang Yong-Xia1,2; Wu Guang-Yao1,5; Qi Jian-Pin3; Yue Yong1; Lei Hao1 | |
刊名 | PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS
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2008-10-01 | |
卷号 | 35期号:10页码:1142-1153 |
关键词 | human brain tumor glioma astrocytomas meningioma high resolution magic-angle spinning (HRMAS) nuclear magnetic resonance spectroscopy pattern recognition statistical analysis |
英文摘要 | Metabolic characteristics of 39 human brain tumor tissues, including 15 astrocytomas, 13 fibroblastic meningiomas and 11 transitional meningiomas from 39 individual patients, have been studied using high resolution magic-angle spinning (HRMAS) H-1 NMR spectroscopy in conjunction with principal component analysis (PCA). With rich metabolite information, H-1 NMR spectra showed that the tumor-tissue metabonome was dominated by lipids, lactate, myo-inositol, creatine, choline metabolites such as choline, phosphocholine and glycerophosphocholine, amino acids such as alanine, glutamate, glutamine, taurine, N-acetyl-aspartate and glutathione. PCA of the tumor NMR spectra clearly showed metabonomic differences between low-grade astrocytomas and meningiomas whereas such differences were more moderate between fibroblastic and transitional meningiomas. Compared with meningiomas, the low-grade astrocytomas had higher levels of glycerophosphocholine, phosphocholine, myo-inositol and creatine but lower levels of alanine, glutamate, glutamine, glutathione and taurine. The N-acetyl-aspartate level was low but detectable in low-grade astrocytomas whereas it was not detectable in meningiomas. It is concluded that tissue metabonomics technology consisting of HRMAS H-1 NMR spectroscopy and multivariate data analysis (MVDA) offers a useful tool (1) for distinguishing different types of brain tumors, (2) for providing the metabolic information for human brain tumors, which are potentially useful for understanding biochemistry of tumor progression. |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
类目[WOS] | Biochemistry & Molecular Biology ; Biophysics |
研究领域[WOS] | Biochemistry & Molecular Biology ; Biophysics |
关键词[WOS] | HUMAN BRAIN-TUMORS ; PROTON MR SPECTROSCOPY ; QUANTITATIVE IN-VIVO ; SHORT-ECHO-TIME ; HUMAN CEREBRAL NEOPLASMS ; HIGH-RESOLUTION H-1-NMR ; TEMPERATURE CALIBRATION ; METABOLIC PROFILES ; TISSUE SAMPLES ; RAT-BRAIN |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000260384000007 |
公开日期 | 2015-10-13 |
内容类型 | 期刊论文 |
源URL | [http://ir.wipm.ac.cn/handle/112942/8107] ![]() |
专题 | 武汉物理与数学研究所_2011年以前论文发表(包括2011年) |
作者单位 | 1.Chinese Acad Sci, Wuhan Inst Phys & Math, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan 430071, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China 3.Huazhong Univ Sci & Technol, Tongji Med Univ, Tongji Hosp, Wuhan 430022, Peoples R China 4.Zhejiang Univ, Coll Med, Affiliated Hosp 1, Hangzhou 310003, Zhejiang, Peoples R China 5.Wuhan Univ, Coll Med, Zhongnan Hosp, Wuhan 430071, Peoples R China 6.Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Wuhan 430022, Peoples R China |
推荐引用方式 GB/T 7714 | Chen Wen-Xue,Lou Hai-Yan,Zhang Hong-Ping,et al. Metabonomic Characterization of The Low-grade Human Astrocytomas and Meningiomas Using Magic-angle Spinning H-1 Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis[J]. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS,2008,35(10):1142-1153. |
APA | Chen Wen-Xue.,Lou Hai-Yan.,Zhang Hong-Ping.,Nie Xiu.,Xiang Yun.,...&Deng Feng.(2008).Metabonomic Characterization of The Low-grade Human Astrocytomas and Meningiomas Using Magic-angle Spinning H-1 Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis.PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS,35(10),1142-1153. |
MLA | Chen Wen-Xue,et al."Metabonomic Characterization of The Low-grade Human Astrocytomas and Meningiomas Using Magic-angle Spinning H-1 Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis".PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS 35.10(2008):1142-1153. |
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