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Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes

Bibliographic Data

ID15517365
AuthorsYan Ren (0000-0001-8854-6283, Shanxi Academy of Medical Sciences), Shuang Bao (Shanxi Academy of Medical Sciences), Yuan Jia (0000-0002-7928-3917, Shanxi Academy of Medical Sciences), Xiaoli Sun (0009-0006-9592-5269, Shanxi Academy of Medical Sciences), Xiao-li Sun, Xiang-xin Cao (Shanxi Academy of Medical Sciences), Xiaoying Bai (0009-0009-9161-8159, Shanxi Academy of Medical Sciences), Xiao-ying Bai, Junsheng Tian (0000-0001-6531-2011, Shanxi University of Traditional Chinese Medicine, corresponding author), Jun-sheng Tian, Hong Yang (0000-0003-1416-0526, Shanxi Academy of Medical Sciences, corresponding author)
Year2020
Volume11
Pages569612-569612
Publication date2020-12-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2020.569612
PMID33391044
OpenAlexW3112179257
LanguageEN
Citations received3
References cited44

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

Bipolar disorder · Bipolar II disorder · Depression (economics · Lithium (medication · Psychiatry · Bipolar Disorder and Treatment · Clinical Psychology · Electrolyte and hormonal disorders · Medicine · Psychology · Tryptophan and brain disorders · Internal Medicine

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Unique citing works3
Citations per year0.6
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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