生物化学与生物物理进展
生物化學與生物物理進展
생물화학여생물물리진전
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS
2008年
10期
1142-1153
,共12页
陈文学%楼海燕%张红萍%聂秀%向云%杨永霞%吴光耀%漆剑频%岳勇%雷皓%唐惠儒%邓风
陳文學%樓海燕%張紅萍%聶秀%嚮雲%楊永霞%吳光耀%漆劍頻%嶽勇%雷皓%唐惠儒%鄧風
진문학%루해연%장홍평%섭수%향운%양영하%오광요%칠검빈%악용%뢰호%당혜유%산풍
脑肿瘤%胶质瘤%星形细胞瘤%脑膜瘤%高分辨魔角旋转核磁共振%模式识别%统计分析
腦腫瘤%膠質瘤%星形細胞瘤%腦膜瘤%高分辨魔角鏇轉覈磁共振%模式識彆%統計分析
뇌종류%효질류%성형세포류%뇌막류%고분변마각선전핵자공진%모식식별%통계분석
human brain tumor%glioma%astrocytomas%meningioma%high resolution magic-angle spinning (HRMAS) nuclearmagnetic resonance spectroscopy%pattern recognition%statistical analysis
采用高分辨魔角旋转核磁共振(HRMAS1H NMR)技术结合丰成分分析(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丰要含有脂肪酸、乳酸、胆碱代谢物(如日H碱、磷酸胆碱和甘油磷酸胆碱)、氨基酸(如内氨酸、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、磷酸月嗵碱、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和多变晕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牛发展的机制具有潜在的意义.
採用高分辨魔角鏇轉覈磁共振(HRMAS1H NMR)技術結閤豐成分分析(PCA)方法研究瞭39例人體腦腫瘤組織的代謝組特徵.39例腫瘤樣本分彆來自39箇腦腫瘤患者,包括15例低級星形細胞瘤,13例纖維型腦膜瘤和11例過渡型腦膜瘤.覈磁共振波譜分析結果錶明,腦腫瘤組織的代謝組中豐要含有脂肪痠、乳痠、膽堿代謝物(如日H堿、燐痠膽堿和甘油燐痠膽堿)、氨基痠(如內氨痠、穀氨痠、穀氨酰胺、牛磺痠)、N-乙酰天門鼕氨痠(NAA)和穀胱甘肽等代謝物.通過對覈磁共振譜進行主成分分析(PCA),髮現低級星形細胞瘤和腦膜瘤的代謝組之間具有明顯的差異,而在過渡型和纖維型兩箇亞類腦膜瘤之間該差彆相對較小.與腦膜瘤相比,低級星形細胞瘤中甘油燐痠膽堿、燐痠月嗵堿、肌醇與肌痠的含量較高,而丙氨痠、穀氨痠、穀氨酰胺、穀胱甘肽和牛磺痠的含量較低.NAA的含量在低級星形細胞瘤中儘管較低但能觀察到,而腦膜瘤中卻未髮現NAA的信號.結果錶明,HRMAS1H NMR和多變暈統計分析相結閤的組織代謝組學方法,不僅能有效區分不同類型的腦腫瘤,而且還可以為腦腫瘤提供豐富的代謝組信息,這些信息對研究腫瘤髮牛髮展的機製具有潛在的意義.
채용고분변마각선전핵자공진(HRMAS1H NMR)기술결합봉성분분석(PCA)방법연구료39례인체뇌종류조직적대사조특정.39례종류양본분별래자39개뇌종류환자,포괄15례저급성형세포류,13례섬유형뇌막류화11례과도형뇌막류.핵자공진파보분석결과표명,뇌종류조직적대사조중봉요함유지방산、유산、담감대사물(여일H감、린산담감화감유린산담감)、안기산(여내안산、곡안산、곡안선알、우광산)、N-을선천문동안산(NAA)화곡광감태등대사물.통과대핵자공진보진행주성분분석(PCA),발현저급성형세포류화뇌막류적대사조지간구유명현적차이,이재과도형화섬유형량개아류뇌막류지간해차별상대교소.여뇌막류상비,저급성형세포류중감유린산담감、린산월통감、기순여기산적함량교고,이병안산、곡안산、곡안선알、곡광감태화우광산적함량교저.NAA적함량재저급성형세포류중진관교저단능관찰도,이뇌막류중각미발현NAA적신호.결과표명,HRMAS1H NMR화다변훈통계분석상결합적조직대사조학방법,불부능유효구분불동류형적뇌종류,이차환가이위뇌종류제공봉부적대사조신식,저사신식대연구종류발우발전적궤제구유잠재적의의.
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) 1H NMR spectroscopy in conjunction with principal component analysis (PCA). With rich metabolite information, 1H NMR spectra showed that the tumor-tissuc metabonome was dominated by lipids, lactate, myo-inositol, ereatine, 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 1H 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.
