| Literature DB >> 33391044 |
Yan Ren1, Shuang Bao1, Yuan Jia2, Xiao-Li Sun1, Xiang-Xin Cao1, Xiao-Ying Bai1, Jun-Sheng Tian3, Hong Yang1.
Abstract
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.Entities:
Keywords: biomarker; bipolar depression; bipolar disorder; metabonomics; nuclear magnetic resonance
Year: 2020 PMID: 33391044 PMCID: PMC7772141 DOI: 10.3389/fpsyt.2020.569612
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157