Emerging Technologies for Exploring the Cellular Mechanisms in Vascular Diseases

Area of Science:

• Biomedical Engineering
• Molecular Biology
• Cardiovascular Research

Background:

• Vascular diseases (VDs) and cardiovascular diseases (CVDs) are leading global causes of death.
• Current diagnostic and therapeutic methods lack cellular-level resolution and mechanistic insight.
• Traditional assays fail to capture the complex molecular and structural dynamics of vascular pathology.

Purpose of the Study:

• To review emerging technologies for investigating the cellular and molecular basis of VDs.
• To evaluate the translational readiness, limitations, and clinical applications of these innovations.
• To highlight the potential for improved diagnostics and targeted therapies in vascular disease.

Main Methods:

• Single-cell and spatial transcriptomics for cellular heterogeneity mapping.
• Super-resolution and photoacoustic imaging for high-resolution visualization.
• Organ-on-chip platforms for disease modeling and gene editing (CRISPR/Cas9).
• Artificial intelligence (AI) for data integration and risk prediction.

Main Results:

• These technologies enable high-resolution mapping of cellular heterogeneity and functional alterations.
• Integration of multi-omics data reveals disease-driving cell types and gene programs.
• AI enhances data interpretation, risk stratification, and clinical applicability.

Conclusions:

• Understanding cellular mechanisms is crucial for developing precise diagnostics and targeted therapies for VDs.
• Future research requires multi-center validation, protocol harmonization, and clinical data integration.
• Multi-omics, computational modeling, and digital twins may accelerate personalized vascular medicine.