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血浆代谢组学作为一种新的诊断方法用于重度抑郁症。

Plasma metabonomics as a novel diagnostic approach for major depressive disorder.

机构信息

Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China.

出版信息

J Proteome Res. 2012 Mar 2;11(3):1741-8. doi: 10.1021/pr2010082. Epub 2012 Feb 1.

Abstract

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.

摘要

重度抑郁症(MDD)是一种具有社会危害性的精神障碍,导致医疗保健支出增加和自杀率上升。然而,目前还没有基于实验室的实证测试方法可以支持 MDD 的诊断。在这项研究中,我们测试了一种基于 NMR 的血浆代谢组学方法来诊断 MDD。记录了来自首发未经药物治疗的抑郁患者(n = 58)和健康对照组(n = 42)的血浆样本的质子核磁共振((1)H NMR)谱,并通过正交偏最小二乘判别分析(OPLS-DA)进行分析。谱的 OPLS-DA 得分图表明,抑郁患者组与健康对照组有明显的区分。此外,该方法在一个独立的复制队列中对盲样(n = 26)进行了准确的诊断,其灵敏度和特异性分别为 92.8%和 83.3%。综上所述,基于 NMR 的血浆代谢组学可能为 MDD 的诊断提供一种准确的基于实验室的实证方法。

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