ArticleRenal failure2021
Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis.
Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 12 citations in OpenAlex.
- Screening for peripheral blood biomarkers and construction of a diagnostic model for adolescent depression based on metabolomics and machine learning.BMC psychiatry · 2026Article
- Exploratory Pilot Multi-Omics Profiling of Gut Microbiota and Metabolic Features in Patients with Prolactinoma.Cancer management and research · 2026Article
- Exploring population and sex-specific disease trajectories for multimorbidities among individuals with overweight or obesity: A retrospective cohort study in UK biobank.Diabetes, obesity & metabolism · 2025Article
- Integrative approaches to depression in end-stage renal disease: insights into mechanisms, impacts, and pharmacological strategies.Frontiers in pharmacology · 2025Review
- Independent and joint influence of depression and advanced lung cancer inflammation index on mortality among individuals with chronic kidney disease.Frontiers in nutrition · 2024Article
- Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics research.Frontiers in psychiatry · 2024Article
- Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness.Renal failure · 2023Article
- Metabolomics profiling distinctively identified end-stage renal disease patients from chronic kidney disease patients.Scientific reports · 2023Article
- Article
- [Depressive symptoms are not associated with risks of rapid renal function decline or chronic kidney disease in middle-aged and elderly with normal kidney function: a longitudinal investigation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- Potential pre-activation strategies for improving therapeutic efficacy of mesenchymal stem cells: current status and future prospects.Stem cell research & therapy · 2022Review
- Carnitine and Depression.Frontiers in nutrition · 2022Review
- Tryptophan-5-HT pathway disorder was uncovered in the olfactory bulb of a depression mice model by metabolomic analysis.Frontiers in molecular neuroscience · 2022Article
- Probucol will become a new model for treating cerebral infarction with a high risk of hemorrhage: A narrative review.Brain circulationReview
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnd-stage renal disease (ESRD) is the final stage during the development of renal failure. Depression is the most common psychiatric disorder in patients with ESRD, which in turn aggravates the progression of renal failure, however, its underlying mechanism remains unclear. This study aimed to reveal the pathogenesis and to discover novel peripheral biomarkers for ESRD patients with depression through metabolomic analysis.
methodsUltra-high-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) was used to explore changes of serum metabolites among healthy controls, ESRD patients with or without depression. The differential metabolites between groups were subjected to clustering analysis, pathway analysis, receiver operating characteristic (ROC) curve analysis.
resultsA total of 57 significant serum differential metabolites were identified between ESRD patients with or without depression, which were involved in 19 metabolic pathways, such as energy metabolism, glycerolipid metabolism, and glutamate-centered metabolism. Moreover, the area under the ROC curve of gentisic acid, uric acid, 5-hydroxytryptamine, 2-phosphoglyceric acid, leucyl-phenylalanine, propenyl carnitine, naloxone, pregnenolone, 6-thioxanthene 5'-monophosphate, hydroxyl ansoprazole, zileuton O-glucuronide, cabergoline, PA(34:2), PG(36:1), probucol and their combination was greater than 0.90.
conclusionsInflammation, oxidative stress and energy metabolism abnormalities, glycerolipid metabolism, and glutamate-centered metabolism are associated with the pathogenesis of ESRD with depression, which may be promising targets for therapy. Furthermore, the identified differential metabolites may serve as biomarkers for the diagnosis of ESRD patients with depression.
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