Disbiome

Overview

Disbiome is a comprehensive database that catalogs associations between human microbiome composition and diseases. It integrates experimental and clinical evidence linking specific microbial taxa to various disease states, providing a resource for understanding the role of microbiota in human health and disease.

Key Features

• Disease-Microbe Associations: Curated relationships between microbial taxa and human diseases
• Evidence-Based Annotations: Links to supporting literature and experimental data
• Taxonomic Coverage: Associations at multiple taxonomic levels (phylum to species)
• Disease Categories: Coverage of diverse disease types including metabolic, inflammatory, infectious, and neurological disorders
• Effect Direction: Annotation of increased or decreased abundance in disease states
• Body Site Information: Specification of relevant body sites or microbiome niches

Applications

• Disease Research: Understanding microbial contributions to disease etiology
• Biomarker Discovery: Identifying microbial signatures for disease diagnosis or prognosis
• Therapeutic Development: Targeting microbiome modulation for treatment strategies
• Microbiome Studies: Hypothesis generation for microbiome-disease research
• Systems Medicine: Integrating microbiome data with other biomedical knowledge

Data Content

Disbiome includes associations for:

• Gastrointestinal diseases (IBD, IBS, colorectal cancer)
• Metabolic disorders (obesity, diabetes, NAFLD)
• Neurological conditions (autism, depression, Alzheimer’s)
• Infectious diseases
• Autoimmune conditions
• Respiratory diseases
• Dermatological conditions

Integration

Disbiome data is integrated into:

• KG-Microbe knowledge graph (linking microbiome with human health)
• Disease ontologies (Mondo, Human Phenotype Ontology)
• Microbial taxonomy databases (NCBITaxon)
• Comparative Toxicogenomics Database (CTD)

Access

Disbiome is accessible through:

• Web interface: https://disbiome.ugent.be/
• Downloadable datasets
• Integration in knowledge graph frameworks

For more information about Disbiome integration in knowledge graphs, see the KG-Microbe project.