Application of metabolomics on diagnosis and treatment of patients with psoriasis in traditional Chinese medicine
Application of metabolomics on diagnosis and treatment of patients with psoriasis in traditional Chinese medicine
复制标题
代谢组学在银屑病中医诊治中的应用
DOI：
10.1016/j.bbapap.2013.05.019
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发表时间：
2014-01-01
影响因子：
3.2
通讯作者：
Li, Guozheng
中科院分区：
文献类型：
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作者：
Lu, Chuanjian;Deng, Jingwen;Li, Guozheng
中医（TCM）是最古老的医学体系之一。证候是中医诊疗的核心，具有收集患者宏观信息进行诊断的优势。为了解中药在体内的作用机制，采用代谢组学方法研究银屑病血瘀证患者尿液的整体生物学特征及优化银泻灵方的治疗代谢组学机制。选取41例银屑病血瘀证患者和19名健康志愿者为研究对象。采用正交投影潜结构判别分析（OPLS-DA）对连续服用优化银泻灵0、4、8、12周患者和健康志愿者的空腹尿液样本进行分析，并利用该方法进行高效液相色谱（HPLC）分析和时间代谢变化鉴定。银屑病组患者经优化银泻灵治疗12周后，PASI评分下降。不仅是健康组和银屑病组，银屑病组在优化银泻灵治疗前后的代谢变化也显示了两组代谢特征的显著差异。利用Discovery Studio软件对蛋白质数据库中目标蛋白优化后的复杂结构进行分析。以原始抑制剂与受体的对接评分为阈值，预测中药化学数据库中的两种化合物与靶蛋白具有良好的相互作用。代谢组学技术结合分子对接分析增强了我们目前对银屑病血瘀证代谢反应及优选银泻灵作用机制的认识。这篇文章是特刊的一部分，题目是：计算蛋白质组学，系统生物学和临床意义。特邀编辑：蔡玉东。(C) 2013 Elsevier B.V.版权所有
Traditional Chinese medicine (TCM) is one of the oldest forms of medical system. With syndrome as the core of diagnosis and therapy in TCM, it has the advantage of collecting macroscopic information of patients for diagnosis. To understand the in vivo mechanism of TCM, a metabolomics approach was used to investigate the global biological characterization of the urine of psoriasis patients with Blood Stasis Syndrome and the therapeutic metabolomics mechanism of the Optimized Yinxieling formula. A total of 41 cases of psoriasis patients with Blood Stasis Syndrome and 19 healthy volunteers were enrolled in this study. Fasting urine samples from patients with consecutive Optimized Yinxieling intake after 0, 4, 8 and 12 weeks and from healthy volunteers were analyzed by Orthogonal Projection on Latent Structures Discriminant Analysis (OPLS-DA), which was utilized for High Performance Liquid Chromatography (HPLC) analysis and temporal metabolic changes identification. For psoriasis group, the scores of PASI of patients decreased after 12 weeks of Optimized Yinxieling treating. The metabolic variations visualized not only in the healthy group and psoriasis group, but also in the psoriasis group before and after Optimized Yinxieling treatment demonstrated that the metabolic characteristics of the two groups were significantly different. The optimized complex structure of the target proteins from Protein Data Bank was analyzed by software package Discovery Studio. With docking score of original inhibitor and the receptor as the threshold values, two compounds from Chinese medicinal chemical database were predicted to have good interactions with the target proteins. The Metabolomics technique combining molecular docking analysis enhanced our current understanding of the metabolic response to Blood Stasis Syndrome of Psoriasis and the action mechanism of Optimized Yinxieling. This article is part of a Special Issue entitled: Computational Proteomics, Systems Biology & Clinical Implications. Guest Editor: Yudong Cai. (C) 2013 Elsevier B.V. All rights reserved.