C/VDdb: A multi-omics expression profiling database for a knowledge-driven approach in cardiovascular disease (CVD)

Area of Science:

• Bioinformatics and Computational Biology
• Genomics and Systems Biology
• Cardiovascular Research

Background:

• Coronary Artery Disease (CAD) is a leading cause of death globally, influenced by genetic and environmental factors.
• Understanding CAD's complex etiology requires integrating multi-omic data (microRNA, genomics, proteomics, metabolomics).
• Existing resources often lack comprehensive integration of diverse omic data and clinical information for cardiovascular diseases.

Purpose of the Study:

• To develop an integrated data repository for cardiovascular diseases (CVDs), focusing on coronary artery disease (CAD).
• To harmonize and link multi-omic data (genomics, transcriptomics, proteomics, metabolomics) with clinical information.
• To provide a user-accessible platform for querying and analyzing CVD-related molecular data.

Main Methods:

• Literature mining and public database curation to build the CVD database.
• Application of a specific ontology, including Clustered Systems Ontology (CluSO) and Orthologous Mapped genes (OMAP), for data integration across platforms and species.
• Manual biocuration and development of an interactive web interface with a multi-parametric search engine.

Main Results:

• The CVD database integrates data from 92 studies, comprising 13,945 molecular entries (4,353 unique molecules).
• Data includes experimental setup, study design, sample sizes, and differential gene expression data (p-value < 0.05).
• Demonstrated utility through an integrative analysis of CAD-associated studies.

Conclusions:

• The developed CVD database provides a valuable resource for researchers studying cardiovascular diseases, particularly CAD.
• The integrated multi-omic data and analytical tools facilitate systems-level understanding of disease mechanisms.
• The platform enables efficient querying and analysis of complex molecular and clinical data for CVD research.