| scholarly article | Q13442814 |
| P2093 | author name string | Wei Wang | |
| Jing Xie | |||
| Peng Xie | |||
| Jian-Jun Chen | |||
| Peng Zheng | |||
| Wen-Wen Li | |||
| Shun-Jie Bai | |||
| P2860 | cites work | Age-Related Changes in Glucose Metabolism, Hyperglycemia, and Cardiovascular Risk | Q57822229 |
| Short-term efficacy and safety of repaglinide versus glimepiride as augmentation of metformin in treating patients with type 2 diabetes mellitus | Q64104741 | ||
| Urinary metabolite signature in bipolar disorder patients during depressive episode | Q64262134 | ||
| Age-associated changes in nitric oxide metabolites nitrite and nitrate | Q73106598 | ||
| Differences in gut microbiota associated with age, sex, and stool consistency in healthy Japanese subjects | Q89171698 | ||
| The human urine metabolome | Q21132532 | ||
| Metabolomics and cardiovascular biomarker discovery | Q26991473 | ||
| Developmental variations in CSF monoamine metabolites during childhood | Q28336874 | ||
| Cell culture-based profiling across mammals reveals DNA repair and metabolism as determinants of species longevity | Q28588140 | ||
| Analysis of metabolomic data using support vector machines | Q33366103 | ||
| Combined Metabolomics and Proteomics Analysis of Major Depression in an Animal Model: Perturbed Energy Metabolism in the Chronic Mild Stressed Rat Cerebellum. | Q35861541 | ||
| Major depressive disorder: new clinical, neurobiological, and treatment perspectives | Q36096664 | ||
| Potential metabolite markers of schizophrenia. | Q36479055 | ||
| Identification and validation of urinary metabolite biomarkers for major depressive disorder | Q36508139 | ||
| Prediction of ovarian cancer prognosis and response to chemotherapy by a serum-based multiparametric biomarker panel. | Q36936018 | ||
| Identification of sex-specific urinary biomarkers for major depressive disorder by combined application of NMR- and GC-MS-based metabonomics | Q37648213 | ||
| Combined application of NMR- and GC-MS-based metabonomics yields a superior urinary biomarker panel for bipolar disorder. | Q37733240 | ||
| Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study | Q38622119 | ||
| Distinct urine metabolome after Asian ginseng and American ginseng intervention based on GC-MS metabolomics approach. | Q39089845 | ||
| Pretreatment frontal EEG and changes in suicidal ideation during SSRI treatment in major depressive disorder | Q42646762 | ||
| Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics | Q42911041 | ||
| Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched controls | Q43119044 | ||
| Urinary metabonomic study on biochemical changes in chronic unpredictable mild stress model of depression | Q43242552 | ||
| 1H NMR-based metabolomics study on repeat dose toxicity of fine particulate matter in rats after intratracheal instillation | Q43360485 | ||
| A novel urinary metabolite signature for diagnosing major depressive disorder | Q43827823 | ||
| Clinical diagnosis of depression in primary care: a meta-analysis | Q44323103 | ||
| Revisiting Metchnikoff: Age-related alterations in microbiota-gut-brain axis in the mouse | Q46420945 | ||
| Metabonomics investigation of human urine after ingestion of green tea with gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry and (1)H NMR spectroscopy. | Q46478771 | ||
| Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host's metabolism | Q46565524 | ||
| Urinary metabolites of organophosphate esters: Concentrations and age trends in Australian children. | Q47568726 | ||
| Tricarboxylic Acid Cycle and Glyoxylate Bypass | Q47700957 | ||
| Disagreement between self-reported and clinician-ascertained suicidal ideation and its correlation with depression and anxiety severity in patients with major depressive disorder or bipolar disorder | Q48167043 | ||
| Sex differences in gut microbiota in patients with major depressive disorder. | Q52665670 | ||
| Urinary biomarker panel for diagnosing patients with depression and anxiety disorders | Q57155162 | ||
| GC-MS-based metabolomics approach to diagnose depression in hepatitis B virus-infected patients with middle or old age | Q57161916 | ||
| Quality of life, health and physiological status and change at older ages | Q57697780 | ||
| P433 | issue | 17 | |
| P921 | main subject | major depressive disorder | Q42844 |
| P304 | page(s) | 6626-6637 | |
| P577 | publication date | 2019-09-06 | |
| P1433 | published in | Aging | Q2845875 |
| P1476 | title | Age-specific urinary metabolite signatures and functions in patients with major depressive disorder | |
| P478 | volume | 11 |
| Q89628910 | Age-specific differential changes on gut microbiota composition in patients with major depressive disorder |
| Q90371599 | Circulating microRNA 134 sheds light on the diagnosis of major depressive disorder |
| Q99403576 | Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics |
| Q104131645 | Metabolic Signatures of Gestational Weight Gain and Postpartum Weight Loss in a Lifestyle Intervention Study of Overweight and Obese Women |
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