ArticleAging2019
Urinary metabolite signature in bipolar disorder patients during depressive episode.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Daily Vinegar Ingestion Improves Depression and Enhances Niacin Metabolism in Overweight Adults: A Randomized Controlled Trial.Nutrients · 2024Trial
- MS-based metabolic profiling in serum for bipolar disorder.Metabolic brain disease · 2026Article
- Identification of peripheral biomarkers through metabolomic analysis in patients with bipolar disorder treated with mood stabilizers: an exploratory study.The international journal of neuropsychopharmacology · 2025Article
- Biomarkers of bipolar disorder in omics and neuroimaging.Journal of pharmaceutical analysis · 2025Review
- Comparing the metabolic pathways of different clinical phases of bipolar disorder through metabolomics studies.Frontiers in psychiatry · 2023Article
- Effects of childhood trauma on nonsuicidal self-injury in adolescent patients with bipolar II depression.Brain and behavior · 2022Article
- Review
- Multi-omics data reveals the disturbance of glycerophospholipid metabolism caused by disordered gut microbiota in depressed mice.Journal of advanced research · 2022Article
- A pilot exploration of multi-omics research of gut microbiome in major depressive disorders.Translational psychiatry · 2022Article
- Alterations of Urinary Microbial Metabolites and Immune Indexes Linked With COVID-19 Infection and Prognosis.Frontiers in immunology · 2022Article
- Metabolomic Identification of Serum Exosome-Derived Biomarkers for Bipolar Disorder.Oxidative medicine and cellular longevity · 2022Article
- Differences of Sleep Disorders Between Vestibular Migraine and Benign Paroxysmal Positional Vertigo.Frontiers in psychiatry · 2021Article
- A review of strategies for untargeted urinary metabolomic analysis using gas chromatography-mass spectrometry.Metabolomics : Official journal of the Metabolomic Society · 2020Review
- Age-specific differential changes on gut microbiota composition in patients with major depressive disorder.Aging · 2020Article
- Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes.Frontiers in psychiatry · 2020Article
- Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics.Neuropsychiatric disease and treatment · 2020Article
- Dual Metabolomic Platforms Identified a Novel Urinary Metabolite Signature for Hepatitis B Virus-Infected Patients with Depression.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Age-specific urinary metabolite signatures and functions in patients with major depressive disorder.Aging · 2019Article
- Cardiovascular risk of sitagliptin in treating patients with type 2 diabetes mellitus.Bioscience reports · 2019Review
- Short-term efficacy and safety of repaglinide versus glimepiride as augmentation of metformin in treating patients with type 2 diabetes mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The first few episodes of bipolar disorder (BD) are highly likely to be depressive. This phenomenon causes many BD patients to be misdiagnosed as having major depression. Therefore, it is very important to correctly diagnose BD patients during depressive episode. Here, we conducted this study to identify potential biomarkers for young and middle-aged BD patients during depressive episode. Both gas chromatography-mass spectroscopy (GC-MS) and nuclear magnetic resonance (NMR) spectroscopy were used to profile the urine samples from the recruited subjects. In total, 13 differential metabolites responsible for the discrimination between healthy controls (HCs) and patients were identified. Most differential metabolites had a close relationship with energy homeostasis. Meanwhile, a panel consisting of five differential metabolites was identified. This panel could effectively distinguish the patients from HCs with an AUC of 0.998 in the training set and 0.974 in the testing set. Our findings on one hand could be helpful in developing an objective diagnostic method for young and middle-aged BD patients during depressive episode; on the other hand could provide critical insight into the pathological mechanism of BD and the biological mechanisms responsible for the transformation of different episodes.
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