Metabolite-Disease Associations for Interstitial Lung Diseases

ILDMDB is a manually curated database of 3,969 metabolite-disease associations for interstitial lung diseases. It integrates data from literature on 20 ILD types and over 1,000 metabolites from human, animal, and cell line studies. The database was created by Yaowu He and was last updated in April 2026.

Use Cases

• Identify potential diagnostic biomarkers by analyzing metabolite_name changes associated with specific disease_type.
• Build predictive models for disease severity or prognosis using the included model performance metrics and associated clinical_parameters.
• Explore the metabolic landscape of a specific ILD_type by filtering entries and reviewing expression_patterns.
• Validate findings by tracing metabolite-disease associations back to their original_reference for literature review.

Strengths

• Contains 3,969 manually curated entries from systematic literature review.
• Covers 20 interstitial lung disease types and over 1,000 distinct metabolites.
• Integrates data from multiple study types: Homo sapiens, animal models, and cell line experiments.

Limitations

• The dataset is small in file size (435 KB), indicating limited raw data volume.
• Scope is restricted to metabolite-disease associations, lacking detailed patient-level clinical data.
• Relies on manually extracted data from publications, which may introduce curation bias.

Provenance

Source

Yaowu He, via the ILDMDB database (https://ildmdb.shinyapps.io/ILDMDB/).

Collection Method

Systematic literature search with manual extraction and curation of metabolomics data.

Freshness

Last updated in April 2026; intended for regular updates.