ArticleMedicine2020
Association between arginine catabolism and major depressive disorder: A protocol for the systematic review and meta-analysis of metabolic pathway.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- The Association Between Concentrations of Arginine, Ornithine, Citrulline and Major Depressive Disorder: A Meta-Analysis.Frontiers in psychiatry · 2021Pooled it
- Deciphering relationship between depression and microbial molecules based on multi-omics: A case study of Chaigui Granules.Chinese herbal medicines · 2024Article
- Distribution of Plasma One-Carbon Metabolism Factors and Amino Acids Profile in Depression State Treated with Paroxetine: A Model Study.Cell journal · 2023Article
- Relationship between Urinary Metabolomic Profiles and Depressive Episode in Antarctica.International journal of molecular sciences · 2023Article
- Tao-Hong-Si-Wu decoction improves depressive symptoms in model rats via amelioration of BDNF-CREB-arginase I axis disorders.Pharmaceutical biology · 2022Article
- Ketamine alleviating depressive-like behaviors is associated with regulation of nNOS-CAPON-Dexras1 complex in chronic unpredictable mild stress rats.Translational neuroscience · 2022Article
- Transcriptome Comparison of Brain and Kidney Endothelial Cells in Homeostasis.BioMed research international · 2022Article
- Brain Metabolic Profile after Intranasal vs. Intraperitoneal Clomipramine Treatment in Rats with Ultrasound Model of Depression.International journal of molecular sciences · 2021Article
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 at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlterations in the levels of arginine and its related catabolic products (ie, ornithine, citrulline, and argininosuccinate) in the urea and nitric oxide cycles were reported to play roles in the pathogenesis of major depressive disorder (MDD). The aim of this meta-analysis study is to explore the associations between arginine with its related catabolic products and MDD, and to discuss the possible role of arginine catabolism in the pathoetiology of MDD.
methodsThis study will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The English language literature published in the databases of PubMed, EMBASE, PsycINFO and Web of Science will be systematically searched. Forest plots will be used to estimate the associations between arginine and its related catabolic products with MDD. Subgroup analysis and meta-regression will also be performed to investigate the source of the potential heterogeneity. Sensitivity analysis will be performed to strengthen the results and to investigate whether any single study would have a significant effect on the results of meta-analysis. Publication bias will be tested for using the funnel plot with Begg test and Egger test. The Newcastle-Ottawa Scale will be applied to assess the risk of bias of observational studies.
resultsAn integrated assessment of arginine with its related catabolic products may contribute to predict the risk of MDD. ETHICS AND DISSEMINATION: The results of associations between arginine with its related catabolic products and MDD will be reported in a peer-reviewed publication. With our findings from this meta-analysis, we hope to provide the most up-to-date evidence for the contributions of arginine and related catabolic products to predict the risk of MDD. SYSTEMATIC REVIEW REGISTRATION: The protocol of current meta-analysis has been registered at the Open Science Framework [Available at: https://doi.org/10.17605/osf.io/7fn59].
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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 OpenQuestion graph.