ArticleNeuropsychiatric disease and treatment2017
Novel urinary metabolite signature for diagnosing postpartum depression.
Article in Neuropsychiatric disease and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Neurobiological insights into perinatal depression: a multi-dimensional integration of brain structure, function, and metabolism.Frontiers in psychiatry · 2026Pooled it
- Carbon Dioxide Laser Microsurgery versus Low-Temperature Plasma Radiofrequency Ablation for T1a Glottic Cancer: A Single-Blind Randomized Clinical Trial.BioMed research international · 2018Trial
- Relationship between Urinary Metabolomic Profiles and Depressive Episode in Antarctica.International journal of molecular sciences · 2023Article
- Plasma metabolic disturbances during pregnancy and postpartum in women with depression.iScience · 2022Article
- Urinary metabolites as a predictive marker for perinatal depression: A secondary analysis of the mothers, Omega-3 & Mental Health Study.Psychiatry research communications · 2022Article
- Postpartum Depression: Current Status and Possible Identification Using Biomarkers.Frontiers in psychiatry · 2021Review
- Metabolic Profiling Indicates Diversity in the Metabolic Physiologies Associated With Maternal Postpartum Depressive Symptoms.Frontiers in psychiatry · 2021Article
- Lipidome Profiles Are Related to Depressive Symptoms and Preterm Birth Among African American Women.Biological research for nursing · 2020Article
- Metabonomic Profile and Signaling Pathway Prediction of Depression-Associated Suicidal Behavior.Frontiers in psychiatry · 2020Article
- Blood plasma metabolic profiling of pregnant women with antenatal depressive symptoms.Translational psychiatry · 2019Article
- Unraveling the Serum Metabolomic Profile of Post-partum Depression.Frontiers in neuroscience · 2019Article
- A Preliminary Study of Uric Metabolomic Alteration for Postpartum Depression Based on Liquid Chromatography Coupled to Quadrupole Time-of-Flight Mass Spectrometry.Disease markers · 2019Article
- Urinary biomarker panel for diagnosing patients with depression and anxiety disorders.Translational psychiatry · 2018Article
- Article
- Differentiating Medicated Patients Suffering from Major Depressive Disorder from Healthy Controls by Spot Urine Measurement of Monoamines and Steroid Hormones.International journal of environmental research and public health · 2018Article
- Efficacy of betahistine plus cognitive behavioral therapy on residual dizziness after successful canalith repositioning procedure for benign paroxysmal positional vertigo.Neuropsychiatric disease and treatment · 2018Article
- Short Term Intrarectal Administration of Sodium Propionate Induces Antidepressant-Like Effects in Rats Exposed to Chronic Unpredictable Mild Stress.Frontiers in psychiatry · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostpartum depression (PPD) could affect ~10% of women and impair the quality of mother-infant interactions. Currently, there are no objective methods to diagnose PPD. Therefore, this study was conducted to identify potential biomarkers for diagnosing PPD. MATERIALS AND
methodsMorning urine samples of PPD subjects, postpartum women without depression (PPWD) and healthy controls (HCs) were collected. The gas chromatography-mass spectroscopy (GC-MS)-based urinary metabolomic approach was performed to characterize the urinary metabolic profiling. The orthogonal partial least-squares-discriminant analysis (OPLS-DA) was used to identify the differential metabolites. The logistic regression analysis and Bayesian information criterion rule were further used to identify the potential biomarker panel. The receiver operating characteristic curve analysis was conducted to evaluate the diagnostic performance of the identified potential biomarker panel.
resultsTotally, 73 PPD subjects, 73 PPWD and 74 HCs were included, and 68 metabolites were identified using GC-MS. The OPLS-DA model showed that there were 22 differential metabolites (14 upregulated and 8 downregulated) responsible for separating PPD subjects from HCs and PPWD. Meanwhile, a panel of five potential biomarkers - formate, succinate, 1-methylhistidine, α-glucose and dimethylamine - was identified. This panel could effectively distinguish PPD subjects from HCs and PPWD with an area under the curve (AUC) curve of 0.948 in the training set and 0.944 in the testing set.
conclusionThese results demonstrated that the potential biomarker panel could aid in the future development of an objective diagnostic method for PPD.
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