Plasma metabonomics as a novel diagnostic approach for major depressive disorder.
Plasma metabonomics as a novel diagnostic approach for major depressive disorder.
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DOI：
10.1021/pr2010082
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发表时间：
2012-02
影响因子：
4.4
通讯作者：
P. Zheng;Hong-Chang Gao;Qi Li;Weihua Shao;Meihong Zhang;K. Cheng;De-yu Yang;S. Fan;Liang Chen-Lia
中科院分区：
文献类型：
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作者：
P. Zheng;Hong-Chang Gao;Qi Li;Weihua Shao;Meihong Zhang;K. Cheng;De-yu Yang;S. Fan;Liang Chen-Lia
重度抑郁症（MDD）是一种对社会有害的精神疾病，导致医疗保健支出和自杀率增加。然而，没有经验性的实验室测试可用于支持MDD的诊断。在这项研究中，基于NMR的血浆代谢组学方法诊断MDD进行了测试。记录了58例首发抑郁症患者和42例健康对照者的血浆质子核磁共振（1H NMR）谱，并用正交偏最小二乘判别分析（OPLS-DA）进行分析。OPLS-DA评分图的频谱表明，抑郁症患者组是显着区分健康对照组。此外，该方法准确地诊断盲样（n = 26）在一个独立的重复队列的敏感性和特异性分别为92.8%和83.3%。总之，基于NMR的血浆代谢组学可能提供一个准确的经验性实验室为基础的方法，适用于诊断MDD。
Major depressive disorder (MDD) is a socially detrimental psychiatric disorder, contributing to increased healthcare expenditures and suicide rates. However, no empirical laboratory-based tests are available to support the diagnosis of MDD. In this study, a NMR-based plasma metabonomic method for the diagnosis of MDD was tested. Proton nuclear magnetic resonance ((1)H NMR) spectra of plasma sampled from first-episode drug-naı̈ve depressed patients (n = 58) and healthy controls (n = 42) were recorded and analyzed by orthogonal partial least-squares discriminant analysis (OPLS-DA). The OPLS-DA score plots of the spectra demonstrated that the depressed patient group was significantly distinguishable from the healthy control group. Moreover, the method accurately diagnosed blinded samples (n = 26) in an independent replication cohort with a sensitivity and specificity of 92.8% and 83.3%, respectively. Taken together, NMR-based plasma metabonomics may offer an accurate empirical laboratory-based method applicable to the diagnosis of MDD.