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作 者:汪江山[1] 赵欣捷[1] 尹沛源[1] 孔宏伟[1] 许国旺[1] 吕爱平
机构地区:[1]中国科学院大连化学物理研究所国家色谱中心,大连116023 [2]中国中医科学研究院临床基础医学研究所,北京100700
出 处:《世界科学技术-中医药现代化》2009年第1期201-205,共5页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基 金:国际科技合作项目(2007DFA31060):代谢组学用于中药质量控制的方法学研究;负责人:许长江;国家科技支撑计划(2006038079037):基于代谢组学的人参皂苷Rh2;四物汤等的研究;负责人:许长江
摘 要:现代医学以及传统中医从不同的视角认识疾病,并有望在系统生物学的范畴内得到统一。本文采用基于超高效液相色谱-时间飞行质谱(UPLC-Q-TOF)的血浆代谢组学方法,运用多维数据分析来研究类风湿性关节炎(RA)的疾病分型。主成分分析(PCA)的方法能够区分对照组和RA疾病组。进一步采用正交滤噪(OSC)并结合偏最小二乘判别分析(PLS-DA)可明显区分类风湿性关节炎的不同病程(稳定期与活动期)以及中医特定证候(寒证与热证)等疾病亚型。代谢组学在阐明传统中医理论,促进中医与现代医学的交流上有着广泛的应用前景。Modern medicine and traditional Chinese medicine offer different perspectives regarding the diseases. The development of systems biology provides an opportunity for the integration of these two medicine systems. In this study, an UPLC-TOF-MS based plasma metabonomics approach combined with multivariate data analysis was applied for the investigation of subtypes of rheumatoid arthritis. With principal component analysis (PCA), the control group and dis- ease group were separated clearly. Furthermore, the subtypes of rheumatoid arthritis diagnosed based on modern medicine (active stage and stable stage) and traditional Chinese medicine (hot syndrome and cold syndrome) were revealed by partial least squares-discriminant analysis (PLS-DA) together with orthogonal signal correction (OSC). This study suggests that metabonomics approach might be used as a promising tool for investigation of the scientific essence of the traditional Chinese medicine.
关 键 词:代谢组学 类风湿性关节炎 痹症 疾病分型 UPLC—TOF—MS
分 类 号:R259.932.2[医药卫生—中西医结合] R734.2[医药卫生—中医内科学]
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