Plasma metabolome analysis of patients with major depressive disorder

Noriyuki Kawamura, Kosaku Shinoda, Hajime Sato, Kazunori Sasaki, Makoto Suzuki, Kumi Yamaki, Tamaki Fujimori, Hiroyuki Yamamoto, Douglas Osei-Hyiaman, Yoshiaki Ohashi

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

Aim: This study sought to characterize the plasma metabolite profiling of patients with major depressive disorder (MDD). Methods: Psychiatric assessments were made with the Structured Clinical Interview for DSM-IV Axis I Disorders. In the exploratory cohort, plasma metabolite profiles of 34 MDD patients and 31 mentally healthy controls were compared using capillary electrophoresis-mass spectrometry. Among the candidate metabolites, we focused on a metabolite showing the largest difference. The absolute concentrations were measured in two cohorts from a psychiatric primary care clinic to characterize the accuracy of the metabolite biomarker. Results: Among 23 metabolites significantly lower in the MDD group than in healthy controls, we focused on phosphoethanolamine (PEA) as a candidate. The reduction of PEA levels in MDD was checked in independent clinical sample sets. An ion-chromatography-fluorescence detection method was developed to measure plasma PEA levels. In the preliminary cohort, we examined 34 MDD and 43 non-MDD subjects. The area under the receiver–operator curve (AUC) was 0.92, with sensitivity/specificity greater than 88%, at a cut-off of 1.46 μM. In the checking cohort, with 10 MDD and 13 non-MDD subjects, AUC was 0.89, with sensitivity/specificity of 86% and 100%, respectively, at a cut-off of 1.48 μM. Plasma PEA inversely correlated with MDD severity, depressed mood, loss of interest, and psychomotor retardation. Conclusion: These results suggest that plasma PEA level could be a candidate biomarker of MDD in the clinical setting. Further studies comparing MDD and mentally healthy controls are needed to confirm the utility of PEA as a biomarker for depression.

Original languageEnglish (US)
Pages (from-to)349-361
Number of pages13
JournalPsychiatry and Clinical Neurosciences
Volume72
Issue number5
DOIs
StatePublished - May 2018
Externally publishedYes

Keywords

  • biomarker
  • diagnosis
  • major depressive disorder
  • metabolomics
  • phosphoethanolamine

ASJC Scopus subject areas

  • General Neuroscience
  • Neurology
  • Clinical Neurology
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'Plasma metabolome analysis of patients with major depressive disorder'. Together they form a unique fingerprint.

Cite this