摘要
目的研究Ameriod环所致冠心病心肌缺血血瘀证小型猪的血清代谢物核磁共振谱群的变化。方法通过冠脉造影、血液流变学等方法确立病证结合血瘀证动物模型,采用现代核磁共振(NMR)和模式识别技术,分析冠心病心肌缺血血瘀证模型与假手术组小型猪4周血清内源代谢物的变化。结果该方法制备的模型4周后确定为稳定的冠心病心肌缺血血瘀证模型,主成分分析(PCA)方法清晰地把模型组与假手术组动物分别开来,血清1HNMR谱的PCA,可见两组动物代谢谱各不相同,假手术组与模型组比较发现,血清中内源性代谢物柠檬酸、γ-氨基丁酸、乳酸、谷氨酸、β羟丁酸、葡萄糖等含量上升,低密度脂蛋白(LDL)与极低密度脂蛋白(VLDL)等脂质代谢物浓度下降。结论模型组与假手术组动物差异代谢物主要表现在糖代谢与脂类代谢紊乱以及能量代谢中三羧酸循环(TCA)的失衡,代谢组学可为中医证候的客观化提供新的途径。
Objective To study changes of serum metabolite profiles in Ameriod ring induced coronary heart disease（CHD） chronic myocardial ischemia（CMI） mini-pigs by NMR.Methods The blood stasis syndrome（BSS） animal model was established by coronary angiography,blood hemorheology,and so on.By using NMR and pattern recognition,changes of serum endogenous metabolites of the four-week mini-pigs of the BSS model and the sham-operative group.Results The model prepared by using this method was confirmed as the stable CHD CMI model of BSS.Animals in the model group and the sham-operative group were clearly classified using the principal component analysis（PCA）.The PCA of serum 1HNMR spectrum and metabolic spectrum in the two groups were significantly different in this model.Compared with the sham-operative group,endogenous metabolites in the serum such as the levels of citric acid,β-hydroxybutyrate,γ-aminobutyric acid,lactic acid,glutamate,glucose,etc.increased in the model group,while the concentrations of lipid metabolites such as low-density lipoprotein（LDL） and very low-density lipoprotein（VLDL） decreased.Conclusions The different metabolites between the model group and the sham-operative group mainly manifested as metabolic disorders of glucose and lipids,as well as energy metabolism such as the disturbance of tricarboxylic acid（TCA）.Metabonomics could provide a new path for the objectivity of Chinese medicine syndromes.
出处
《中国中西医结合杂志》
CAS
CSCD
北大核心
2011年第10期1364-1368,共5页
Chinese Journal of Integrated Traditional and Western Medicine
基金
国家科技重大专项基金项目(No.2009ZX09502-018)
国家自然科学基金资助项目(No.30902020)
关键词
冠心病
血瘀证
核磁共振
代谢组学
coronary heart disease
blood stasis syndrome
nuclear magnetic resonance
metabonomics
