4.7 Article

Urinary peptidomics identifies potential biomarkers for major depressive disorder

Journal

PSYCHIATRY RESEARCH
Volume 217, Issue 1-2, Pages 25-33

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.psychres.2014.02.029

Keywords

Depression; MDD; Diagnosis; Diagnostic; Peptide pattern; Urine

Categories

Funding

  1. National Basic Research Program of China (973 Program) [2009CB918300]
  2. National Natural Science Foundation of China [31271189]

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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.

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