Plasma Metabonomics as a Novel Diagnostic Approach for Major Depressive Disorder
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- 作者：Peng Zheng ; Hong C. Gao ; Qi Li ; Wei H. Shao ; Mei L. Zhang ; Ke Cheng ; De Y. Yang ; Song H. Fan ; Liang Chen ; Liang Fang ; Peng Xie
- 刊名：Journal of Proteome Research
- 出版年：2012
- 出版时间：March 2, 2012
- 年：2012
- 卷：11
- 期：3
- 页码：1741-1748
- 全文大小：341K
- 年卷期：v.11,no.3(March 2, 2012)
- ISSN：1535-3907
文摘
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 (1H 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.