Literature DB >> 29356314

Plasma metabolome analysis of patients with major depressive disorder.

Noriyuki Kawamura1, Kosaku Shinoda2, Hajime Sato2, Kazunori Sasaki2, Makoto Suzuki2, Kumi Yamaki2, Tamaki Fujimori2, Hiroyuki Yamamoto2, Douglas Osei-Hyiaman2, Yoshiaki Ohashi2.   

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.
© 2018 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.

Entities:  

Keywords:  biomarker; diagnosis; major depressive disorder; metabolomics; phosphoethanolamine

Mesh:

Substances:

Year:  2018        PMID: 29356314     DOI: 10.1111/pcn.12638

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  13 in total

1.  Carbohydrate Background Removal in Metabolomics Samples.

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2.  A Load to Find Clinically Useful Biomarkers for Depression.

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Authors:  Susanna D Mitro; Gloria T Larrabure-Torrealva; Sixto E Sanchez; Samantha A Molsberry; Michelle A Williams; Clary Clish; Bizu Gelaye
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Review 5.  CE-MS for metabolomics: Developments and applications in the period 2016-2018.

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7.  Kynurenic acid is a potential overlapped biomarker between diagnosis and treatment response for depression from metabolome analysis.

Authors:  Hisayuki Erabi; Go Okada; Chiyo Shibasaki; Daiki Setoyama; Dongchon Kang; Masahiro Takamura; Atsuo Yoshino; Manabu Fuchikami; Akiko Kurata; Takahiro A Kato; Shigeto Yamawaki; Yasumasa Okamoto
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8.  Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain-Descriptive and Pattern Analysis.

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Journal:  Metabolites       Date:  2020-12-24

9.  Cerebellar and multi-system metabolic reprogramming associated with trauma exposure and post-traumatic stress disorder (PTSD)-like behavior in mice.

Authors:  Graeme Preston; Tim Emmerzaal; Silvia Radenkovic; Ian R Lanza; Devin Oglesbee; Eva Morava; Tamas Kozicz
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10.  Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study.

Authors:  Fiona A Hagenbeek; Peter J Roetman; René Pool; Cornelis Kluft; Amy C Harms; Jenny van Dongen; Olivier F Colins; Simone Talens; Catharina E M van Beijsterveldt; Marjolein M L J Z Vandenbosch; Eveline L de Zeeuw; Sébastien Déjean; Vassilios Fanos; Erik A Ehli; Gareth E Davies; Jouke Jan Hottenga; Thomas Hankemeier; Meike Bartels; Robert R J M Vermeiren; Dorret I Boomsma
Journal:  Front Psychiatry       Date:  2020-03-31       Impact factor: 4.157

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