ArticleBriefings in bioinformatics2020
MENDA: a comprehensive curated resource of metabolic characterization in depression.
Article in Briefings in bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- TranDep: a transcriptomics atlas of depression.Molecular psychiatry · 2026Article
- Mapping the reciprocal interactions between antidepressants and the gut microbiome: novel targets for the personalisation and optimization of drug response.Molecular psychiatry · 2026Review
- Exploring Molecular Mechanism of Fluoxetine in Animal Models of Depression via Integrated Metabolomic and Proteomic Analysis.Journal of cellular and molecular medicine · 2026Article
- PsycGM: a comprehensive database for associations between gut microbiota and psychiatric disorders.Molecular psychiatry · 2025Article
- Characterizing metabolomic and proteomic changes in depression: a systematic analysis.Molecular psychiatry · 2025Article
- Multi-Omics Analysis Reveals Disturbances of Purine Metabolism and Glutamate Metabolism in the Hippocampus of Lipopolysaccharide-Induced Mouse Model of Depression.Brain and behavior · 2025Article
- Dihydroergotamine and Bromocriptine: Potential Drugs for the Treatment of Major Depressive Disorder and Alzheimer's Disease Comorbidity.Molecular neurobiology · 2025Article
- Chronic restraint stress affects the diurnal rhythms of gut microbial composition and metabolism in a mouse model of depression.BMC microbiology · 2025Article
- Lower creatinine levels are associated with an increased risk of depression: evidence from the China Health and Retirement Longitudinal Study.Frontiers in psychiatry · 2025Article
- MDDOmics: multi-omics resource of major depressive disorder.Database : the journal of biological databases and curation · 2024Article
- ProMENDA: an updated resource for proteomic and metabolomic characterization in depression.Translational psychiatry · 2024Article
- Integrated pathway and network analyses of metabolomic alterations in peripheral blood of patients with depression.Metabolic brain disease · 2023Article
- Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective.Journal of pharmaceutical analysis · 2023Review
- Review
- Identification of Potential Druggable Targets and Structure-Based Virtual Screening for Drug-like Molecules against the Shrimp PathogenInternational journal of molecular sciences · 2023Article
- Identification of Plasma Inflammatory Markers of Adolescent Depression Using the Olink Proteomics Platform.Journal of inflammation research · 2023Article
- Survey for Computer-Aided Tools and Databases in Metabolomics.Metabolites · 2022Review
- Peripheral blood and urine metabolites and biological functions in post-stroke depression.Metabolic brain disease · 2022Article
- Effects of pharmacological treatment on metabolomic alterations in animal models of depression.Translational psychiatry · 2022Article
- Metabolomic changes in animal models of depression: a systematic analysis.Molecular psychiatry · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression is a seriously disabling psychiatric disorder with a significant burden of disease. Metabolic abnormalities have been widely reported in depressed patients and animal models. However, there are few systematic efforts that integrate meaningful biological insights from these studies. Herein, available metabolic knowledge in the context of depression was integrated to provide a systematic and panoramic view of metabolic characterization. After screening more than 10 000 citations from five electronic literature databases and five metabolomics databases, we manually curated 5675 metabolite entries from 464 studies, including human, rat, mouse and non-human primate, to develop a new metabolite-disease association database, called MENDA (http://menda.cqmu.edu.cn:8080/index.php). The standardized data extraction process was used for data collection, a multi-faceted annotation scheme was developed, and a user-friendly search engine and web interface were integrated for database access. To facilitate data analysis and interpretation based on MENDA, we also proposed a systematic analytical framework, including data integration and biological function analysis. Case studies were provided that identified the consistently altered metabolites using the vote-counting method, and that captured the underlying molecular mechanism using pathway and network analyses. Collectively, we provided a comprehensive curation of metabolic characterization in depression. Our model of a specific psychiatry disorder may be replicated to study other complex diseases.
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