ArticleTranslational psychiatry2018
Urinary biomarker panel for diagnosing patients with depression and anxiety disorders.
Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- Biomarkers and pathways in autism spectrum disorder: An individual meta-analysis based on proteomic and metabolomic data.European archives of psychiatry and clinical neuroscience · 2025Pooled it
- Design and development of a mobile-based self-care application for patients with depression and anxiety disorders.BMC medical informatics and decision making · 2023Pooled it
- A Systematic Review of Circulatory microRNAs in Major Depressive Disorder: Potential Biomarkers for Disease Prognosis.International journal of molecular sciences · 2022Pooled it
- Disruptions of p11 (S100A10) and HPA Axis Homeostasis Participate in the Major Depressive Disorder (MDD) Especially in Female Patients.Neuropsychiatric disease and treatment · 2025Trial
- The effect of acupuncture on depression and its correlation with metabolic alterations: A randomized controlled trial.Medicine · 2020Trial
- Carbon Dioxide Laser Microsurgery versus Low-Temperature Plasma Radiofrequency Ablation for T1a Glottic Cancer: A Single-Blind Randomized Clinical Trial.BioMed research international · 2018Trial
- Metabolomic Profiling in Children with Sleep Disorders: An Exploratory Pilot Study.Journal of clinical medicine · 2026Article
- Treatment effects on sphingosine-1-phosphate and its receptors in major depressive disorder: implications for biomarkers.BMC psychiatry · 2026Article
- Feasibility and tolerability of Musa sp. pseudo-stem core powder as a dietary supplement with gut microbiota-modulating potential: a pilot randomised controlled trial.Pilot and feasibility studies · 2026Article
- Peripheral S-(PGJBMC psychiatry · 2026Article
- Continuous Monitoring of Mental Health through Streaming Machine Learning with Counterfactual Explanations.Journal of medical systems · 2025Article
- Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review.Bioengineering (Basel, Switzerland) · 2025Review
- Repeated administration of L-alanine to mice reduces behavioural despair and increases hippocampal mammalian target of rapamycin signalling: Analysis of gender and metabolic effects.Journal of psychopharmacology (Oxford, England) · 2025Article
- Urine Metabolomic Patterns to Discriminate the Burnout Levels and Night-Shift-Related Stress in Healthcare Professionals.Metabolites · 2025Article
- Select microbial metabolites in the small intestinal lumen regulate vagal activity via receptor-mediated signaling.iScience · 2025Article
- The predictive, preventive, and personalized medicine of depression: gut microbiota and inflammation.The EPMA journal · 2024Article
- Fast Label-Free Metabolic Profile Recognition Identifies Phenylketonuria and Subtypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Metabolomic profiles of chronic distress are associated with cardiovascular disease risk and inflammation-related risk factors.Brain, behavior, and immunity · 2023Observational
- Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression.Journal of translational medicine · 2023Article
- Urine 3-Nitrotyrosine and Serum HDL as Potential Biomarkers of Depression.Journal of clinical medicine · 2023Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Available data indicate that patients with depression and anxiety disorders are likely to be at greater risk for suicide. Therefore, it is important to correctly diagnose patients with depression and anxiety disorders. However, there are still no empirical laboratory methods to objectively diagnose these patients. In this study, the multiple metabolomics platforms were used to profile the urine samples from 32 healthy controls and 32 patients with depression and anxiety disorders for identifying differential metabolites and potential biomarkers. Then, 16 healthy controls and 16 patients with depression and anxiety disorders were used to independently validate the diagnostic performance of the identified biomarkers. Finally, a panel consisting of four biomarkers-N-methylnicotinamide, aminomalonic acid, azelaic acid and hippuric acid-was identified. This panel was capable of distinguishing patients with depression and anxiety disorders from healthy controls with an area under the receiver operating characteristic curve of 0.977 in the training set and 0.934 in the testing set. Meanwhile, we found that these identified differential metabolites were mainly involved in three metabolic pathways and five molecular and cellular functions. Our results could lay the groundwork for future developing a urine-based diagnostic method for patients with depression and anxiety disorders.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.