ArticleAging2019
Age-specific urinary metabolite signatures and functions in patients with major depressive disorder.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Exercise Training on Executive Functioning in Adults with Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- Trial
- The effect of acupuncture on depression and its correlation with metabolic alterations: A randomized controlled trial.Medicine · 2020Trial
- Metabolic Mechanisms in Electroconvulsive Therapy for Schizophrenia: Role, Potential and Future Directions.International journal of molecular sciences · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Antibiotic Cocktail: An Excellent Tool to Probe Physiology by Perturbing Gut Microbiota: A Mice Model.Current microbiology · 2025Article
- Characterizing metabolomic and proteomic changes in depression: a systematic analysis.Molecular psychiatry · 2025Article
- Plasma alpha-trypsin inhibitor heavy chain 4 as an age-specific biomarker in the diagnosis and treatment of major depressive disorder.Frontiers in psychiatry · 2024Article
- Targeting PDK2 rescues stress-induced impaired brain energy metabolism.Molecular psychiatry · 2023Article
- Relationship between Urinary Metabolomic Profiles and Depressive Episode in Antarctica.International journal of molecular sciences · 2023Article
- Astrocyte metabolism and signaling pathways in the CNS.Frontiers in neuroscience · 2023Review
- Exercise and Interorgan Communication: Short-Term Exercise Training Blunts Differences in Consecutive Daily UrineMetabolites · 2022Article
- Brain Functional Network and Amino Acid Metabolism Association in Females with Subclinical Depression.International journal of environmental research and public health · 2022Article
- Review
- Discovery and validation of acetyl-L-carnitine in serum for diagnosis of major depressive disorder and remission status through metabolomic approach.Frontiers in psychiatry · 2022Article
- Irisin Acts via the PGC-1α and BDNF Pathway to Improve Depression-like Behavior.Clinical nutrition research · 2021Review
- Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression.Neuropsychiatric disease and treatment · 2021Article
- Potential Biomarkers for Diagnosing Major Depressive Disorder Patients with Suicidal Ideation.Journal of inflammation research · 2021Article
- Metabolic Signatures of Gestational Weight Gain and Postpartum Weight Loss in a Lifestyle Intervention Study of Overweight and Obese Women.Metabolites · 2020Article
- Bacterial Metabolites of Human Gut Microbiota Correlating with Depression.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) patients in different age ranges might have different urinary metabolic phenotypes, because age could significantly affect the physiological and psychological status of person. Therefore, it was very important to take age into consideration when studying MDD. Here, a dual platform metabolomic approach was performed to profile urine samples from young and middle-aged MDD patients. In total, 18 and 15 differential metabolites that separately discriminated young and middle-aged MDD patients, respectively, from their respective HC were identified. Only ten metabolites were significantly disturbed in both young and middle-aged MDD patients. Meanwhile, two different biomarker panels for diagnosing young and middle-aged MDD patients, respectively, were identified. Additionally, the TCA cycle was significantly affected in both young and middle-aged MDD patients, but the Glyoxylate and dicarboxylate metabolism and phenylalanine metabolism were only significantly affected in young and middle-aged MDD patients, respectively. Our results would be helpful for developing age-specific diagnostic method for MDD and further investigating the pathogenesis of this disease.
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Registered trials
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 Socratic graph.