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气相色谱-质谱和液相色谱-质谱联用方法用于口腔癌代谢组学分析
引用本文:He H,Shi X,Chen J,Gao P,Lei Y,Xu G. 气相色谱-质谱和液相色谱-质谱联用方法用于口腔癌代谢组学分析[J]. 色谱, 2012, 30(3): 245-251. DOI: 10.3724/SP.J.1123.2011.12037
作者姓名:He H  Shi X  Chen J  Gao P  Lei Y  Xu G
作者单位:1. 中国科学院大连化学物理研究所, 中国科学院分离分析化学重点实验室, 辽宁 大连 116023; 2. 昆明医学院附属口腔医院, 云南 昆明 650031
基金项目:国家自然科学基金项目(81060086,20805045);云南省自然科学基金项目(2010CD215)
摘    要:
口腔癌的发病率占全身恶性肿瘤的第6位,正确区分正常状态与良性和恶性口腔肿瘤,是恰当选择治疗方案的关键所在。本研究中,首先利用液相色谱-质谱和气相色谱-质谱联用方法分别得到健康人、良性口腔肿瘤患者和恶性口腔肿瘤患者血浆、尿液和唾液的代谢轮廓,然后应用正交信号校正的偏最小二乘法进行多变量统计分析。结果表明健康人、良性肿瘤患者和恶性肿瘤患者在血浆、尿液和唾液等3种体液代谢中都可以被区分开,而且找到和鉴定出19个重要差异代谢物。相关代谢通路分析显示,与健康人相比,良性和恶性口腔肿瘤患者都存在能量代谢紊乱和脂类代谢失衡的现象,但恶性口腔肿瘤患者还表现出三羧酸循环和肌醇代谢异常,这为临床诊断及治疗提供了重要信息。

关 键 词:气相色谱-质谱联用  液相色谱-质谱联用  代谢组学  口腔癌
收稿时间:2011-12-14

Metabonomics study of oral cancer using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry
He Hongbing,Shi Xianzhe,Chen Jing,Gao Peng,Lei Yayan,Xu Guowang. Metabonomics study of oral cancer using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry[J]. Chinese journal of chromatography, 2012, 30(3): 245-251. DOI: 10.3724/SP.J.1123.2011.12037
Authors:He Hongbing  Shi Xianzhe  Chen Jing  Gao Peng  Lei Yayan  Xu Guowang
Affiliation:1. CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; 2. The Affiliated Stomatology Hospital of Kunming Medical University, Kunming 650031, China
Abstract:
Oral cancer is the sixth common cancer in the world, and precisely distinguishing health control, benign and malignant oral tumors is important for the proper and timely selection of therapeutic treatment. In the current study, the metabolic profiles of the plasma, urine and saliva of three groups, consisting of malignant oral tumor patients, benign oral tumor patients and healthy controls, were analyzed using liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry. Utilizing a partial least squares-discriminant analysis with orthogonal signal correction data filter, the three groups were discriminated based on their plasma, urine and saliva metabolic profiles. Nineteen differential metabolites were identified including 3 acylcarnitines and 4 lyso-phosphatidylcholines in plasma, 3 amino acids and 2 organic acids in urine, 4 organic acids and 3 other metabolites in saliva. The identified metabolites were studied in the context of the pathways in which they were involved and their biological activities. The results indicated that benign and malignant oral tumor patients have altered energy metabolism, disordered lipolysis compared with healthy controls. Furthermore malignant oral tumor patients even present a distorted Krebs cycle and inositol metabolism.
Keywords:gas chromatography-mass spectrometry(GC-MS)  liquid chromatography-mass spectrometry(LC-MS)  metabonomics  oral cancer
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