Decoding congenital heart disease: a multi-omic framework for cardiac lineage and regulatory dysfunction

Area of Science:

• Developmental Biology
• Genetics
• Cardiovascular Research

Background:

• Congenital heart disease (CHD) is the most common birth defect globally.
• Traditional genetic models lack the resolution to fully understand CHD's complex origins.
• Disruptions in cardiac development lead to malformations.

Purpose of the Study:

• To review how advanced single-cell and multi-omics technologies are transforming CHD research.
• To synthesize current understanding of cardiac progenitor cell development in CHD.
• To highlight new approaches for modeling and understanding CHD.

Main Methods:

• Single-cell RNA sequencing
• Spatial transcriptomics
• Integrative multi-omics
• Genome-wide association studies
• Cardiac organoids
• Engineered developmental models

Main Results:

• High-resolution analyses reveal cellular origins and regulatory landscapes of CHD.
• Non-coding risk variants can be mapped to specific cell states and developmental times.
• Organoid and engineered models allow for functional validation of gene defects.

Conclusions:

• Advanced technologies are enabling a mechanistic, cell-type-resolved understanding of CHD.
• This paradigm shift opens new avenues for precision diagnostics and targeted therapies.
• Future research focuses on restoring normal cardiac development through regenerative approaches.