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中文摘要：
目的利用磁共振波谱方法研究慢性心力衰竭（心衰）血瘀证患者的标志性代谢物。方法通过临床横断面调查研究,收集慢性心衰血瘀证患者的一般资料和血液样品,采用模式识别技术对磁共振氢谱采用化学位移分段积分和归一化处理。所得数据输入SIMCA-P软件,应用正交偏最小二乘判别分析法（OPLS-DA）对结果进行分析。结果 OPLS-DA模型具有较好的区分度和预测性,慢性心衰血瘀证患者组氨酸、甘氨酸、缬氨酸等物质下降,乳酸、丙氨酸、丙酮酸等代谢物升高。结论血浆中氨基酸代谢物、能量代谢以及脂类代谢物的改变构成了慢性心衰血瘀证患者的代谢特征,为疾病的诊断和治疗以及中医证候研究提供了新思路和新方法。
英文摘要：
Objective To study the changes of metabolites in chronic heart failure（ CHF） patients of blood stasis pattern by applying nuclear magnetic resonance（ NMR）. Methods Demographic data were collected from CHF patients of blood stasis pattern using cross-section survey. Their blood samples were also obtained and then magnetic resonance spectrum with pattern recognition techniques were used for integral calculation and normalization based on chemical shift. All data were imputed into SIMCA-P software and the results were analyzed by using orthogonal projections to latent structures-discriminant analysis（ OPLS-DA） model. Results The OPLS-DA analysis of plasma samples could differentiate and predict blood stasis pattern. Increased levels of lactate,alanine,and pyruvic acid with decreased levels of histidine,glycine,valineas,and other metabolites constitute the metabolomics profile of blood stasis pattern. Conclusion This study showed a profile of altered metabolites related to energy utilization and fatty acid metabolism in plasma samples of CHF patients with blood stasis pattern,which could offer a new approach to the diagnosis and treatment of CHF.
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