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高血压病肝阳上亢证代谢网络构建及特征分析
引用本文:蒋海强,李运伦.高血压病肝阳上亢证代谢网络构建及特征分析[J].世界科学技术-中医药现代化,2013,15(5):942-946.
作者姓名:蒋海强  李运伦
作者单位:山东中医药大学实验中心 济南 250355;山东中医药大学附属医院高血压中医临床研究基地 济南 250011
基金项目:国家自然科学基金委面上项目(81273700):高血压病肝阳上亢证证候本质及藤菔降压片干预的网络生物学研究,负责人:李运伦;国家自然科学基金委青年项目(81102549):应用化学成分谱-代谢成分谱相关分析研究平肝方药治疗高血压病的配伍机理,负责人:蒋海强。
摘    要:目的:以代谢标记物关联构建高血压病肝阳上亢证的代谢网络,从整体角度揭示高血压病的生物学本质。方法:根据临床高血压病肝阳上亢证的诊断标准,选择典型病例,以健康志愿者和高血压病阴阳两虚证为对照,采用代谢组学方法发现生物标记物,利用KEGG 数据库发现标记物的代谢途径,关联代谢途径,形成代谢网络,根据代谢节点分析网络的关键靶点。结果:与健康志愿者比较,高血压肝阳上亢证病患者机体代谢网络发生显著变化,去甲肾上腺素、己糖和花生四烯酸为关键网络节点。结论:从代谢组学出发构建代谢网络的方法具有研究中医证候复杂体系变化的优势,为阐明高血压病肝阳上亢证的生物学本质提供科学依据。

关 键 词:代谢网络  高血压病肝阳上亢证  代谢节点  生物学本质
收稿时间:5/3/2013 12:00:00 AM
修稿时间:2013/7/13 0:00:00

Metabolic Network Construction and Feature Analysis of Hypertension with Syndrome of Ascendant Hyperactivity of Liver Yang
Jiang Haiqiang and Li Yunlun.Metabolic Network Construction and Feature Analysis of Hypertension with Syndrome of Ascendant Hyperactivity of Liver Yang[J].World Science and Technology-Modernization of Traditional Chinese Medicine,2013,15(5):942-946.
Authors:Jiang Haiqiang and Li Yunlun
Affiliation:Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;TCM Clinical Research Base for Hypertension, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, China
Abstract:This study was aimed to build metabolic network of hypertension with syndrome of ascendant hyperactivity of liver yang by associating metabolic biomarkers in order to reveal the biological nature of hypertension from the whole view. According to the diagnostic criteria of hypertension with syndrome of ascendant hyperactivity of liver yang, typical cases were selected and healthy volunteers were enrolled as comparison.Metabolic biomarkers were revealed by metabolomics methods. The metabolic pathways of biomarkers were revealed with the KEGG database. The metabolic pathways were connected to establish the metabolic network.Key targets were identified using metabolism node analysis. The results showed that compared with healthy volunteers, the metabolic network of hypertension with syndrome of ascendant hyperactivity of liver yang had significant changes. Norepinephrine, hexanose and arachidonic acid are key network nodes. It was concluded that the metabolic network according to metabolic biomarkers has the advantage in the study on changes of the body under complicated conditions. The study provided a scientific basis for the understanding of biological nature of hypertension with syndrome of ascendant hyperactivity of liver yang.
Keywords:Metabolic network  hypertension with syndrome of ascendant hyperactivity of liver yang  metabolism node  biological nature
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