ArticleScientific reports2020
Systematic impacts of chronic unpredictable mild stress on metabolomics in rats.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- The Relationship between Psychological Stress and Anthropometric, Biological Outcomes: A Systematic Review.Medicina (Kaunas, Lithuania) · 2024Pooled it
- Conventional laboratory housing increases morbidity and mortality in research rodents: results of a meta-analysis.BMC biology · 2022Pooled it
- TPM-like manipulations exerted an antidepressant effect and regulated amino acid metabolism and GHR/IGF-1 pathway in the liver in adolescent female CUMS rats.Frontiers in physiology · 2026Article
- Untargeted metabolomics revealed that quercetin improves rat renal metabolic disorders induced by chronic unpredictable mild stress.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Article
- The Role of Chronic Stress in the Pathogenesis of Ischemic Heart Disease in Women.Comprehensive Physiology · 2025Review
- Pathological Changes and Metabolic Adaptation in the Myocardium of Rats in Response to Chronic Variable Mild Stress.International journal of molecular sciences · 2024Article
- Article
- Deciphering the Metabolome under Stress: Insights from Rodent Models.Current neuropharmacology · 2024Review
- Metabolomic Profiling Reveals Biomarkers in Coronary Heart Disease Comorbidity.Journal of diabetes research · 2024Article
- Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research.Molecules (Basel, Switzerland) · 2023Review
- Blood metabolomics reveals the therapeutic effect of Pueraria polysaccharide on calf diarrhea.BMC veterinary research · 2023Article
- Study on the Intervention Mechanism of Cryptotanshinone on Human A2780 Ovarian Cancer Cell Line Using GC-MS-Based Cellular Metabolomics.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Molecular Hydrogen: an Emerging Therapeutic Medical Gas for Brain Disorders.Molecular neurobiology · 2023Review
- The impact of high-glucose or high-fat diets on the metabolomic profiling of mice.Frontiers in nutrition · 2023Article
- Circulating metabolites and depression: a bidirectional Mendelian randomization.Frontiers in neuroscience · 2023Article
- Breathomics profiling of metabolic pathways affected by major depression: Possibilities and limitations.Frontiers in psychiatry · 2022Article
- Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis.Frontiers in pharmacology · 2022Article
- The Development of GABAergic Network in Depression in Recent 17 Years: A Visual Analysis Based on CiteSpace and VOSviewer.Frontiers in psychiatry · 2022Review
- Neurobiological effects of a probiotic-supplemented diet in chronically stressed male Long-Evans rats: Evidence of enhanced resilience.IBRO neuroscience reports · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression is the most common disabling psychiatric disease, with a high prevalence and mortality. Chronic unpredictable mild stress (CUMS) is a well-accepted method used to mimic clinical depression. Recent evidence has consistently suggested that the cumulative effects of CUMS could lead to allostatic overload in the body, thereby inducing systemic disorders; however, there are no previous systematic metabonomics studies on the main stress-targeted tissues associated with depression. A non-targeted gas chromatography-mass spectrometry (GC-MS) approach was used to identify metabolic biomarkers in the main stress-targeted tissues (serum, heart, liver, brain, and kidney) in a CUMS model of depression. Male Sprague-Dawley rats were randomly allocated to the CUMS group (n = 8) or a control group (n = 8). Multivariate analysis was performed to identify the metabolites that were differentially expressed between the two groups. There were 10, 10, 9, 4, and 7 differentially expressed metabolites in the serum, heart, liver, brain and kidney tissues, respectively, between the control and CUMS groups. These were linked to nine different pathways related to the metabolism of amino acids, lipids, and energy. In summary, we provided a comprehensive understanding of metabolic alterations in the main stress-targeted tissues, helping to understand the potential mechanisms underlying depression.
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