基于核磁共振波谱技术的原发性肝癌中医基本证候代谢组学研究

项目名称： 基于核磁共振波谱技术的原发性肝癌中医基本证候代谢组学研究

项目编号： No.30873219

项目类型： 面上项目

立项/批准年度： 2009

项目学科： 生物科学

项目作者： 黄雪强

作者单位： 中国人民解放军第二军医大学

项目金额： 31万元

中文摘要： 中医在原发性肝癌的防治上有其独特的优势，但目前对肝癌证候客观化的研究因为脱离证候所具有的整体观念的内涵而有很大不足。这种状况是实现肝癌证候诊断和疗效判断规范化的重大障碍。本项目在课题组长期肝癌中医证候规范化研究的基础上，拟以同样具有整体、系统视角的代谢组学方法来研究肝癌中医基本证候的客观规律。我们应用肝癌基本证候量化评价层次分析模型量化诊断原发性肝癌患者基本证候，收集原发性肝癌患者的尿液和血液标本，采用高分辨率核磁共振波谱技术，运用复杂化学与生物模式识别、多变量统计分析方法等生物信息处理技术，发掘肝癌基本证候样本代谢组变化模式或特征峰。通过综合集成分析，提取肝癌中医基本证候以及基本证候集合形成的实证与虚证的特征性代谢指纹图谱，对主要代谢标志物进一步鉴定分析，以期发现某些辅助诊断分型的生物标志物，从而为实现肝癌中医证候的客观化、规范化提供依据。

中文关键词： 原发性肝癌；中医证候；代谢组学；核磁共振波谱

英文摘要： Traditional Chinese medicine(TCM) has distinct superiority in preventing and treating primary liver cancer(PLC).However,at present the reserch works about the objectification on TCM syndrome of PLC were not satisfied for the lack of holistic view.This condition is a baffle in the wey to realize the normalization of TCM syndrome diagnosis and therapeutic effect evaluation.Based on the larg term reserch about the normalization of TCM syndrome of PLC,the aim of this protocol is going to explore the objective rule of basic TCM syndrome of PLC using the methods of metabonomic which have the similar whole view like TCM.We would evaluate the basic syndrome of the patiens with PLC using the quantitative model for evaluating the degree of the TCM basic syndrome.And appling the technology of high resolution nuclear magnetic resonance spectrum(NMR) and the technology of bioinformatics including the complex chemical pattern recognition and multivariate statistical analysis to analyze the blood and urine sample from patiens with PLC,we might obtain the distinctive metabonomics patterns of basic TCM syndrome of PLC. Then identifing the main metabolites which could distinguish the basic TCM syndrome or excess and deficiency syndrome of PLC,we might find the biomarkers helpful to syndrome diagnosis,and make contributions to realize the normalization and objectification of TCM syndrome of PLC.

英文关键词： primary liver cancer; traditional chinese medicine syndrome; metabonomics; nuclear magnetic resonance spectrum