ArticleBMC microbiology2018
Disbiome database: linking the microbiome to disease.
Article in BMC microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 1 of them a synthesis that pooled it.
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
126 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of the effect of binge drinking on the oral microbiome and its relation to Alzheimer's disease.Scientific reports · 2020Pooled it
- Trial
- BioMedGraphica: an all-in-one platform for joint textual biomedical prior knowledge and numeric graph generation.Bioinformatics (Oxford, England) · 2026Article
- Advancing Whole-Person Health through Informatics: A Narrative Review of Knowledge Resources for Complementary and Integrative Health.The Journal of nutrition · 2026Review
- Host Gene Signatures Associated with Gastric Cancer-Associated Microbial Taxa: A Descriptive Microbiome-Transcriptome Study.Medicina (Kaunas, Lithuania) · 2026Article
- Large-scale profiling of blood microbial signatures in patients with Parkinson's disease and its association with disease progression: a cross-sectional study.EBioMedicine · 2026Article
- Valeric acid from oral microbiome suppresses esophageal cancer growth by disrupting eEF1A1 -mediated translational output.Nature communications · 2026Article
- The gut as a central hub for multi-organ crosstalk in aging.Cellular and molecular life sciences : CMLS · 2026Review
- Benchmarking large language models for pathogen-disease classification in post-acute infection syndromes.Briefings in bioinformatics · 2026Article
- Gut microbiota dysbiosis and hepatic inflammation in morphine dependence and withdrawal: insights from a rat model.BMC gastroenterology · 2026Article
- KG-Microbe: Building modular and scalable knowledge graphs for microbiome and microbial sciences.GigaScience · 2026Article
- SeizureBiomeDB: a unified database of gut microbiome alterations in pediatric and adult epilepsy.Bioinformatics advances · 2026Article
- Multifaceted human gut microbiome data associated with health and nutrition.Frontiers in microbiology · 2026Review
- Development and validation of embedded multilayer attention graph convolution neural network models for predicting gut microbe-disease associations.Frontiers in microbiology · 2026Article
- Restoring circadian disrupted gut microbial metabolite rhythms with phytochemicals: a new avenue against metabolic disease.Frontiers in microbiology · 2026Review
- Ruminococcus bromii alleviates constipation by pullulanase-driven resistant starch degradation and microbiota modulation.NPJ biofilms and microbiomes · 2025Article
- Fast graph convolutional models incorporating matrix factorization for predicting microbe-disease associations.Scientific reports · 2025Article
- Computational prediction and conformation of relationships among microbes, drugs and diseases.Scientific reports · 2025Article
- HGMT: a database of human gut microbiota for tumors and immunotherapy response.Genome biology · 2025Article
- A capsular polysaccharide from a healthy human microbiota member activates a Lag-3-NK cell axis to restrain colon cancer and augment immunotherapy.Cell reports · 2025Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent research has provided fascinating indications and evidence that the host health is linked to its microbial inhabitants. Due to the development of high-throughput sequencing technologies, more and more data covering microbial composition changes in different disease types are emerging. However, this information is dispersed over a wide variety of medical and biomedical disciplines. DESCRIPTION: Disbiome is a database which collects and presents published microbiota-disease information in a standardized way. The diseases are classified using the MedDRA classification system and the micro-organisms are linked to their NCBI and SILVA taxonomy. Finally, each study included in the Disbiome database is assessed for its reporting quality using a standardized questionnaire.
conclusionsDisbiome is the first database giving a clear, concise and up-to-date overview of microbial composition differences in diseases, together with the relevant information of the studies published. The strength of this database lies within the combination of the presence of references to other databases, which enables both specific and diverse search strategies within the Disbiome database, and the human annotation which ensures a simple and structured presentation of the available data.
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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.