Application of metabolomics in traditional chinese medicine differentiation of deficiency and excess syndromes in patients with diabetes mellitus.
Application of metabolomics in traditional chinese medicine differentiation of deficiency and excess syndromes in patients with diabetes mellitus.
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DOI：
10.1155/2012/968083
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Ji G
中科院分区：
文献类型：
--
作者：
Wu T;Yang M;Wei HF;He SH;Wang SC;Ji G
代谢谱作为疾病诊断的探针被广泛使用。在这项研究中，尿中碳水化合物的代谢谱进行了研究，使用气相色谱/质谱（GC/MS）和多元统计分析。建立了基于核函数的潜在结构正交投影（K-OPLS）模型，并验证了该模型的有效性。该模型与子窗口排列分析（SPA）相结合，以提取新的生物标志物信息。此外，K-OPLS模型直观地反映了糖尿病患者虚实证型的尿碳水化合物谱变化。GC/MS和K-OPLS/SPA分析相结合，可以对不同中医证型的糖尿病患者的尿碳水化合物代谢特征进行分析，包括与非糖尿病患者不同的生物标志物。本研究所提出的方法可作为中医证候研究的补充或替代。
Metabolic profiling is widely used as a probe in diagnosing diseases. In this study, the metabolic profiling of urinary carbohydrates was investigated using gas chromatography/mass spectrometry (GC/MS) and multivariate statistical analysis. The kernel-based orthogonal projections to latent structures (K-OPLS) model were established and validated to distinguish between subjects with and without diabetes mellitus (DM). The model was combined with subwindow permutation analysis (SPA) in order to extract novel biomarker information. Furthermore, the K-OPLS model visually represented the alterations in urinary carbohydrate profiles of excess and deficiency syndromes in patients with diabetes. The combination of GC/MS and K-OPLS/SPA analysis allowed the urinary carbohydrate metabolic characterization of DM patients with different traditional Chinese medicine (TCM) syndromes, including biomarkers different from non-DM patients. The method presented in this study might be a complement or an alternative to TCM syndrome research.
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影响因子：
2.3
作者：
Li, S.;Zhang, Z. Q.;Wang, Y. Y.
通讯作者：
Wang, Y. Y.
影响因子：
3.6
作者：
Goodacre, Royston;Broadhurst, David;Wulfert, Florian
通讯作者：
Wulfert, Florian
影响因子：
4.4
作者：
Bao, Yuqian;Zhao, Tie;Jia, Wei
通讯作者：
Jia, Wei
影响因子：
2.4
作者：
Filzmoser, Peter;Liebmann, Bettina;Varmuza, Kurt
通讯作者：
Varmuza, Kurt
影响因子：
9.9
作者：
通讯作者：
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