冠心病血瘀证形成过程能量代谢机制可视化研究

有研究表明血脂增高时心肌的能量代谢就已经发生了变化，但以往对能量代谢的研究只局限于病程中的某个阶段，本课题组证实冠心病血瘀证不仅是一个动态的过程，而且在血瘀证状态下心肌细胞能量底物利用会呈现独特的特点。对于中医证候研究以往虽采用了复杂系统科学理念，但结果呈现多是抽象的数学公式，缺乏对获取信息的“复杂性”解读，而以系统生物学为驱动，计算机为平台的仿真技术因其直观的将复杂的生物信息可视化展现，而正成为生命科学研究的前沿热点内容。为此本项目首先依据代谢产物建立冠心病血瘀证动态演变三阶段的心肌细胞能量代谢网络模型，结合关联分析，确定导致能量底物（血氧、脂肪酸、葡萄糖）变化趋势的关键蛋白。应用NetLogo平台建立能量底物与关键蛋白的仿真模型，推演冠心病血瘀证的动态变化的能量状态，通过对生物学机制的探索，为冠心病血瘀证的发生、发展提供治疗思想。

It has been proved that myocardia energy metabolism has changed in the rise of blood lipid. However, previous studies of energy metabolism was limited to a certain stage in the course of the disease . The research team confirmed that BHVS of coronary heart disease was not only a dynamic process, and the use of cardiomyocyte energy substrate would present unique characteristics in the state of BHVS. Although the methodology of traditional Chinese medicine symptom research adopt the scientific concepts of complex system,the results are mostly abstract mathematical formula, lacking the interpretation of the complexity of obtaining information.Driven by system biology and based on computer,simulation technology is becoming a frontier of life science research.As a result,in this project, cardiomyocyte energy metabolism network model of BHVS of coronary heart disease in three-stage was established based on the metabolites. The key proteins that changed energy substrat (blood oxygen, fatty acid and glucose) were determined by correlation analysis. The simulation model of energy substrate and key protein was established by NetLogo platform. According to the emergency of energy substrate and key protein,the energy state of dynamic evolution of BHVS was deduced. It provided treatment thoughts about the occurrence and development of BHVS of coronary heart disease by learning the biological mechanism.