Metabolomic identification of diagnostic plasma biomarkers in humans with chronic heart failure
Metabolomic identification of diagnostic plasma biomarkers in humans with chronic heart failure
复制标题
慢性心力衰竭患者诊断血浆生物标志物的代谢组学鉴定
DOI：
10.1039/c3mb70227h
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发表时间：
2013-01-01
影响因子：
--
通讯作者：
Wang, Wei
中科院分区：
文献类型：
--
作者：
Wang, Juan;Li, Zhongfeng;Wang, Wei
慢性心力衰竭 (CHF) 是一种进行性临床综合征，其特点是心脏无法提供足够的血液供应来满足身体的代谢需求，人们对识别有助于 CHF 诊断的新型生物标志物产生了浓厚的兴趣。与当前的诊断方法相比，代谢组学可以研究生物系统内的许多代谢扰动。这里讨论的工作的总体目标是应用高通量方法通过 H-1-NMR 光谱来识别 CHF 的代谢特征和血浆诊断生物标志物。通过 NMR 波谱分析了 39 名 CHF 患者和 15 名对照者的血浆样本。处理数据后，进行正交偏最小二乘判别分析（OPLS-DA）。统计模型显示出良好的解释方差和可预测性，留一分析评估的诊断性能表现出 92.31% 的敏感性和 86.67% 的特异性。光谱的 OPLS-DA 评分图显示病例和对照在代谢物水平上有良好的分离，多种生化变化表明高脂血症、能量代谢的改变和 CHF 的其他潜在生物学机制。结论是，基于 NMR 的代谢组学方法在识别诊断血浆标志物方面表现出良好的性能，并为与 CHF 相关的代谢过程提供了新的见解。
Chronic heart failure (CHF), as a progressive clinical syndrome, is characterized by failure of enough blood supply from the heart to meet the body's metabolic demands, and there is intense interest in identifying novel biomarkers that could make contributions to the diagnosis of CHF. Metabolomics, compared with current diagnostic approaches, could investigate many metabolic perturbations within biological systems. The overarching goal of the work discussed here is to apply a high-throughput approach to identify metabolic signatures and plasma diagnostic biomarkers underlying CHF by H-1-NMR spectroscopy. Plasma samples from 39 patients with CHF and 15 controls were analyzed by NMR spectroscopy. After processing the data, orthogonal partial least square discriminant analysis (OPLS-DA) was performed. The statistical model revealed good explained variance and predictability, and the diagnostic performance assessed by leave-one-out analysis exhibited 92.31% sensitivity and 86.67% specificity. The OPLS-DA score plots of spectra revealed good separation between case and control on the level of metabolites, and multiple biochemical changes indicated hyperlipidemia, alteration of energy metabolism and other potential biological mechanisms underlying CHF. It was concluded that the NMR-based metabolomics approach demonstrated good performance to identify diagnostic plasma markers and provided new insights into metabolic process related to CHF.