ArticleBMC genomics2023
GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases.
Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Advancing Whole-Person Health through Informatics: A Narrative Review of Knowledge Resources for Complementary and Integrative Health.The Journal of nutrition · 2026Review
- Identification of disease ameliorated metabolite candidates from Gut Microbes and their interacting targets based on a novel estimating function.Frontiers in microbiology · 2026Article
- BioWalk-MDA: a novel approach for large-scale predicting metabolite-drug associations based on multi layered biomedical knowledge graphs.Briefings in bioinformatics · 2025Article
- MINERVA-microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associations.Briefings in bioinformatics · 2025Article
- Gut Microbiota-Associated Metabolites Affected the Susceptibility to Heart Health Abnormality in Young Migrants at High-Altitude: Gut Microbiota and Associated Metabolites Impart Heart Health in Plateau.Exploration (Beijing, China) · 2025Article
- An atlas of transcriptomic changes in human immune cells driven by 364 endogenous and gut-microbiota-derived metabolites.Scientific reports · 2025Article
- DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts.BMC bioinformatics · 2025Article
- FACdb: a comprehensive resource for genes, gut microbiota, and metabolites in farm animals.Frontiers in microbiology · 2025Article
- Understanding dysbiosis and resilience in the human gut microbiome: biomarkers, interventions, and challenges.Frontiers in microbiology · 2025Review
- Impact of Edible Insect Polysaccharides on Mouse Gut Microbiota: A Study on White-Spotted Flower Chafer Larva (Foods (Basel, Switzerland) · 2024Article
- Review
- The antimicrobial peptide database is 20 years old: Recent developments and future directions.Protein science : a publication of the Protein Society · 2023Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe natural products, metabolites, of gut microbes are crucial effect factors on diseases. Comprehensive identification and annotation of relationships among disease, metabolites, and microbes can provide efficient and targeted solutions towards understanding the mechanism of complex disease and development of new markers and drugs.
resultsWe developed Gut Microbial Metabolite Association with Disease (GMMAD), a manually curated database of associations among human diseases, gut microbes, and metabolites of gut microbes. Here, this initial release (i) contains 3,836 disease-microbe associations and 879,263 microbe-metabolite associations, which were extracted from literatures and available resources and then experienced our manual curation; (ii) defines an association strength score and a confidence score. With these two scores, GMMAD predicted 220,690 disease-metabolite associations, where the metabolites all belong to the gut microbes. We think that the positive effective (with both scores higher than suggested thresholds) associations will help identify disease marker and understand the pathogenic mechanism from the sense of gut microbes. The negative effective associations would be taken as biomarkers and have the potential as drug candidates. Literature proofs supported our proposal with experimental consistence; (iii) provides a user-friendly web interface that allows users to browse, search, and download information on associations among diseases, metabolites, and microbes. The resource is freely available at http://guolab.whu.edu.cn/GMMAD .
conclusionsAs the online-available unique resource for gut microbial metabolite-disease associations, GMMAD is helpful for researchers to explore mechanisms of disease- metabolite-microbe and screen the drug and marker candidates for different diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.