类风湿性关节炎疾病分型的血浆代谢组学研究

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。

Metabonomics Study on the Subtypes of Rheumatoid Arthritis

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 disease 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.