Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes.
biomarker
bipolar depression
bipolar disorder
metabonomics
nuclear magnetic resonance
Journal
Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006
Informations de publication
Date de publication:
2020
2020
Historique:
received:
04
06
2020
accepted:
12
11
2020
entrez:
4
1
2021
pubmed:
5
1
2021
medline:
5
1
2021
Statut:
epublish
Résumé
Bipolar disorder (BD) is a common and debilitating mental disorder. Bipolar depression is the main episode of BD. Furthermore, there are no objective biomarkers available for diagnosing the disorder. In this research, a Nuclear Magnetic Resonance (NMR) spectroscopy based on a metabonomics technique was used to analyze serum samples from 37 patients with bipolar depression and 48 healthy control participants to determine potential biomarkers for bipolar depression. In total, seven different metabolites were identified that could effectively distinguish patients from healthy controls. The metabolites indicated that disturbances of amino acid and energy metabolisms might be involved in the pathogenesis of BD. Finally, a panel consisting of four potential biomarkers (lactate, trimethylamine oxide, N-acetyl glycoprotein, and α-glucose) was identified, which showed a higher combined diagnostic ability with an area under the curve of 0.893. Our findings may contribute to the development of an objective method for diagnosing bipolar depression.
Identifiants
pubmed: 33391044
doi: 10.3389/fpsyt.2020.569612
pmc: PMC7772141
doi:
Types de publication
Journal Article
Langues
eng
Pagination
569612Informations de copyright
Copyright © 2020 Ren, Bao, Jia, Sun, Cao, Bai, Tian and Yang.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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