ArticleInternational journal of molecular sciences2023
The Utility of Amino Acid Metabolites in the Diagnosis of Major Depressive Disorder and Correlations with Depression Severity.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomics in Depression: What We Learn from Preclinical and Clinical Evidences.Molecular neurobiology · 2025Pooled it
- Associations between serum amino acids and genetic liability to depression in the LURIC cohort.BMC psychiatry · 2026Article
- Measurement of Serum Parameters Attributes the Therapeutic Effects of Music Therapy to Augmented Stress-Coping Ability and Diminished Systemic Inflammation.Depression and anxiety · 2026Article
- Gender Differences and Comorbidities in Major Depression.Advances in experimental medicine and biology · 2026Review
- A Novel Integrative Framework for Depression: Combining Network Pharmacology, Artificial Intelligence, and Multi-Omics with a Focus on the Microbiota-Gut-Brain Axis.Current issues in molecular biology · 2025Review
- Towards Objective Major Depressive Disorder Detection: a Systematic Review and Meta-Analysis of Diagnostic Biomarkers.The Psychiatric quarterly · 2025Review
- Connexin43 and Its Regulation of Astrocyte Gap Junction Function: Influencing Depression Progression by Mediating Electrical and Chemical Signals.CNS neuroscience & therapeutics · 2025Review
- Dysbiosis and depression: A study of gut microbiota alterations and functional pathways in antidepressant-naïve mood disorder patients.Translational psychiatry · 2025Article
- Multi-omics analyses of the gut microbiome, fecal metabolome, and multimodal brain MRI reveal the role ofPsychological medicine · 2025Article
- Characterizing metabolomic and proteomic changes in depression: a systematic analysis.Molecular psychiatry · 2025Article
- A Clinical Risk Prediction Model for Depressive Disorders Based on Seven Machine Learning Algorithms.International journal of general medicine · 2025Article
- Unveiling chiral amino acid alterations and glycine dysregulation in late-life depression through targeted metabolomics.Frontiers in psychiatry · 2025Article
- Transcutaneous auricular vagus nerve stimulation regulates gut microbiota mediated peripheral inflammation and metabolic disorders to suppress depressive-like behaviors in CUMS rats.Frontiers in microbiology · 2025Article
- Exploring the relationship between the uric acid to high-density lipoprotein cholesterol ratio and depression: a cross-sectional study from NHANES.Scientific reports · 2024Article
- Gut microbiota dysbiosis promotes cognitive impairment via bile acid metabolism in major depressive disorder.Translational psychiatry · 2024Article
- Chronic corticosterone exposure causes anxiety- and depression-related behaviors with altered gut microbial and brain metabolomic profiles in adult male C57BL/6J mice.Molecular brain · 2024Article
- Alterations in Vagal Tone Are Associated with Changes in the Gut Microbiota of Adults with Anxiety and Depression Symptoms: Analysis of Fecal Metabolite Profiles.Metabolites · 2024Article
- Article
- Plasma amino acids in major depressive disorder: between pathology to pharmacology.EXCLI journal · 2024Review
- Precision Medicine in Depression: The Role of Proteomics and Metabolomics in Personalized Treatment Approaches.Advances in experimental medicine and biology · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Major depressive disorder (MDD) is a highly prevalent and disabling condition with a high disease burden. There are currently no validated biomarkers for the diagnosis and treatment of MDD. This study assessed serum amino acid metabolite changes between MDD patients and healthy controls (HCs) and their association with disease severity and diagnostic utility. In total, 70 MDD patients and 70 HCs matched in age, gender, and ethnicity were recruited for the study. For amino acid profiling, serum samples were analysed and quantified by liquid chromatography-mass spectrometry (LC-MS). Receiver-operating characteristic (ROC) curves were used to classify putative candidate biomarkers. MDD patients had significantly higher serum levels of glutamic acid, aspartic acid and glycine but lower levels of 3-Hydroxykynurenine; glutamic acid and phenylalanine levels also correlated with depression severity. Combining these four metabolites allowed for accurate discrimination of MDD patients and HCs, with 65.7% of depressed patients and 62.9% of HCs correctly classified. Glutamic acid, aspartic acid, glycine and 3-Hydroxykynurenine may serve as potential diagnostic biomarkers, whereas glutamic acid and phenylalanine may be markers for depression severity. To elucidate the association between these indicators and clinical features, it is necessary to conduct additional studies with larger sample sizes that involve a spectrum of depressive symptomatology.
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