湖南中医药大学学报2016，Vol.36Issue(2)：20-24,5.DOI:10.3969/j.issn.1674-070X.2016.02.006
基于冠心病血瘀证心肌细胞能量代谢网络模型的流平衡分析
The Flux Balance Analysis based on Network Model of Myocardial Cell Energy Metabolism of Blood Stasis Syndrome in Coronary Heart Disease
摘要
Abstract
Objective To investigate the characteristics of myocardial cell energy metabolism changes of acute and chronic blood stasis syndrome of coronary heart disease (CHD). Methods (1) The CHD myocardial cell energy metabolism network model of blood stasis syndrome were built up by using FluxExplorer software platform. (2) The coronary arterial blood glucose, fatty acids and blood oxygen content, which were taken from from healthy control group, CHD with chronic blood stasis syndrome, CHD with acute blood stasis syndrome groups, were detemined by GC-MS technology and automatic blood gas analyzer. (3) The results were into network model, the characteristic parameters of acute and chronic CHD with blood stasis syndrome were analyzed by flux balance. Results (1) Three groups of glycolytic, lipid metabolism and the TCA cycle has been activated, but after the network operations metabolite values were significantly different in each group, which showed a healthy control group > CHD with chronic blood stasis syndrome > CHD with acute blood stasis group trend. (2) The glucose, fatty acids and blood oxygenation content and yield of ATP in three groups showed a decreasing trend. The key enzymes of glycolysis (HK, PFK, PK), key enzymes of the TCA cycle (Cs, Icdh, Od) showed consistent changes. Conclusion The form of different CHD with acute blood stasis and chronic blood stasis syndromes were closely related tolevels of myocardial energy metabolism in the body.关键词
冠心病/血瘀证/能量代谢/网络/流平衡分析/心肌细胞Key words
coronary heart disease/blood stasis syndrome/energy metabolism/networking/flux balance analy-sis/myocardial cell分类
医药卫生引用本文复制引用
袁肇凯,简维雄,黄献平,张月娟,孙安会,夏世靖..基于冠心病血瘀证心肌细胞能量代谢网络模型的流平衡分析[J].湖南中医药大学学报,2016,36(2):20-24,5.基金项目
国家自然科学基金项目(81273670 （）
81202647) （）
教育部博士点基金项目(20124323130001). （20124323130001）
