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Pre- and Post-treatment Levels of Plasma Metabolites in Patients With Bipolar Depression

Bibliographic Data

ID15522372
AuthorsXiang-jie Guo, Xiangjie Guo (0000-0002-9844-1546, Shanxi Medical University), Peng Wu (0009-0005-1580-3759, Shanxi Medical University), Xiaohong Cui (Huazhong University of Science and Technology), Xiao-Hong Cui, Jiao Jia (0000-0003-0965-5217, Shanxi Academy of Medical Sciences), Shuang Bao (Shanxi Academy of Medical Sciences), Fei Yu (0000-0002-2824-9866, Huazhong University of Science and Technology), Lina Ma (0000-0003-3768-5528, Shanxi Academy of Medical Sciences), Li-Na Ma, Xiang-xin Cao (Huazhong University of Science and Technology), Yan Ren (0000-0001-8854-6283, Shanxi Academy of Medical Sciences, corresponding author)
Year2021
Volume12
Pages747595-747595
Publication date2021-12-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.747595
PMID34975567
OpenAlexW4200338658
LanguageEN
Citations received2
References cited34

Background: Bipolar disorder (BD) is a serious mental disease with complex clinical manifestations and high recurrence rate. The purpose of this study was to detect metabolites related to the diagnosis and efficacy evaluation of bipolar depression in plasma samples by metabolomics. Methods: Thirty-one bipolar depression patients were recruited and completed 8 weeks medication and a matched group of 47 healthy controls (HCs) was recruited. Nuclear magnetic resonance spectroscopy was used to profile plasma samples of bipolar depression patients at baseline and after 8 weeks medication, and HCs. Then Multivariate statistical analysis was performed to analyze differences of plasma metabolites among the three groups. Results: We detected seven specific differential metabolites in bipolar depression. Six of the metabolites were returned to the normal levels in different degrees after 8 weeks medication, only Glycine continuously decreased in the acute and significant improvement stages of bipolar depression (VIP > 1 and p Limitations: The small sample size was one of the most prominent limitations. Each BD patient was given an individualized medication regimen according to the clinical guidelines. Conclusion: There were metabolites changes before and after 8 weeks medication. Glycine may be a characteristic marker of bipolar depression and does not change with the improvement of bipolar depression, while other 6 differential metabolites may be biomarkers associated with the pathological development or the improvement of bipolar depression. And, these differential metabolites mainly related to energy metabolism, amino acid metabolism and gut microbiota metabolism

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

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    Open Access•Shasha Wu, Hai Hu et al.•Frontiers in Psychiatry•2024

  • Search for serum biomarkers in patients with bipolar disorder and major depressive disorder using metabolome analysis

    Open Access•Xiaoli Sun, Xiao-li Sun et al.•Frontiers in Psychiatry•2023

  • Canadian Network for Mood and Anxiety Treatments ( Canmat ) and International Society for Bipolar Disorders ( ISBD ) 2018 guidelines for the management of patients with bipolar disorder

    Open Access•Lakshmi N Yatham, Sherril H Kennedy et al.•Bipolar Disorders•2018

  • Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes

    Open Access•Yan Ren, Shuang Bao et al.•Frontiers in Psychiatry•2020

Unique citing works2
Citations per year0,67
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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