HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure

Area of Science:

• Cardiovascular Medicine
• Bioinformatics
• Genomics

Background:

• Heart failure (HF) is a complex cardiovascular disease phenotype with significant morbidity and mortality.
• Existing omics studies for HF are fragmented, hindering comprehensive data analysis and insight generation.
• A need exists for an integrated platform to consolidate and analyze diverse HF-related multi-omics data and knowledge.

Purpose of the Study:

• To develop the Heart Failure Integrated Platform (HFIP) for exploring, fusing, and visualizing multi-omics data and knowledge related to heart failure.
• To create a centralized resource that facilitates biological and clinical insights from scattered HF data.
• To provide an auto-updating mechanism for continuous data integration.

Main Methods:

• Collected and curated multi-omics datasets and knowledge from public sources.
• Developed an integrated platform (HFIP) comprising 253 datasets (7842 samples), multiple analysis workflows, and 14 tools.
• Constructed a knowledge base for HF, including 1956 genes and a scoring system, through literature and database integration.
• Implemented a literature mining module for identifying research hotspots and contexts.

Main Results:

• The HFIP platform provides a unified environment for heart failure data exploration and analysis.
• A comprehensive knowledge base with gene annotations and a scoring system for molecular signals in HF was established.
• The platform includes tools for data fusion, visualization, and literature mining to support research.

Conclusions:

• HFIP serves as a data-driven and knowledge-guided platform for basic and clinical heart failure research.
• The integrated approach facilitates deeper understanding and discovery in the complex field of heart failure.
• The platform aims to accelerate research by providing accessible and analyzed multi-omics data and knowledge.