期刊
PSYCHIATRY INVESTIGATION
卷 12, 期 2, 页码 249-259出版社
KOREAN NEUROPSYCHIATRIC ASSOC
DOI: 10.4306/pi.2015.12.2.249
关键词
Biomarker; Inflammation; Major depressive disorder; Neurotransmitter; Proteomics
类别
资金
- Bio-Medtech Regional Innovation Center at Eulji University, under the Regional Innovation Center Program of Ministry of Commerce, Industry and Energy
- EMBRI Grants from Eulji University
- Gachon University Gil Medical Center [2013-36]
- BK21 plus program through the National Research Foundation (NRF) - Ministry of Education of Korea
Objective Currently, there are a few biological markers to aid in the diagnosis and treatment of depression. However, it is not sufficient for diagnosis. We attempted to identify differentially expressed proteins during depressive moods as putative diagnostic biomarkers by using quantitative proteomic analysis of serum. Methods Blood samples were collected twice from five patients with major depressive disorder (MDD) at depressive status before treatment and at remission status during treatment. Samples were individually analyzed by liquid chromatography-tandem mass spectrometry for protein profiling. Differentially expressed proteins were analyzed by label-free quantification. Enzyme-linked immunosorbent assay (ELISA) results and receiver-operating characteristic (ROC) curves were used to validate the differentially expressed proteins. For validation, 8 patients with MDD including 3 additional patients and 8 matched normal controls were analyzed. Results The quantitative proteomic studies identified 10 proteins that were consistently upregulated or downregulated in 5 MDD patients. ELISA yielded results consistent with the proteomic analysis for 3 proteins. Expression levels were significantly different between normal controls and MDD patients. The 3 proteins were ceruloplasmin, inter-alpha-trypsin inhibitor heavy chain H4 and complement component 1qC, which were upregulated during the depressive status. The depressive status could be distinguished from the euthymic status from the ROC curves for these proteins, and this discrimination was enhanced when all 3 proteins were analyzed together. Conclusion This is the first proteomic study in MDD patients to compare intra-individual differences dependent on mood. This technique could be a useful approach to identify MDD biomarkers, but requires additional proteomic studies for validation.
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