Urinary peptidomics identifies potential biomarkers for major depressive disorder

被引:37
作者
Wang, Ying [1 ,2 ,3 ]
Chen, Jianjun [2 ,3 ]
Chen, Liang [1 ,2 ,3 ]
Zheng, Peng [1 ,2 ,3 ]
Xu, Hong-Bo [1 ,2 ,3 ]
Lu, Jia [1 ,2 ,3 ]
Zhong, Jiaju [1 ,2 ,3 ]
Lei, Yang [1 ,2 ,3 ]
Zhou, Chanjuan [1 ,2 ,3 ]
Ma, Qingwei [4 ]
Li, Yan [4 ]
Xie, Peng [1 ,2 ,3 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing 400016, Peoples R China
[2] Chongqing Key Lab Neurobiol, Chongqing, Peoples R China
[3] Chongqing Med Univ, Inst Neurosci, Chongqing 400016, Peoples R China
[4] Bioyong Beijing Technol Co Ltd, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Depression; MDD; Diagnosis; Diagnostic; Peptide pattern; Urine; PERFORMANCE-CHARACTERISTICS; PROTEOMIC ANALYSIS; PROTEIN; PLASMA; SERUM; DIAGNOSIS; DISCOVERY; FRAGMENT; BURDEN; BRAIN;
D O I
10.1016/j.psychres.2014.02.029
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Major depressive disorder (MDD) is a debilitating psychiatric illness with no available objective laboratory-based diagnostic test. In this study, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based peptidomics was applied to identify potential urinary diagnostic biomarkers for MDD. A training set of 42 first-episode drug-naive MDD patients and 28 age- and gender-matched healthy controls (HC) was used to develop a peptide diagnostic pattern. Then, the diagnostic efficacy of this pattern was assessed in an independent blinded test set consisting of 24 MDD patients and 13 age- and gender-matched HC. A combination of five potential biomarkers was identified, yielding a sensitivity of 91.7% and specificity of 84.6% in the test set. Moreover, the protein precursors of four of the five peptides were identified by tandem mass spectrometric analysis: serum albumin, apolipoprotein A-I, protein AMBP, and basement membrane-specific heparan sulfate proteoglycan core protein. Taken together, the peptide pattern may be valuable for establishing an objective laboratory-based diagnostic test for MDD. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:25 / 33
页数:9
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