Vasomics of the liver

Area of Science:

• Vascular biology
• Systems biology
• Medical imaging analysis

Background:

• Chronic liver disease involves complex vascular alterations.
• The vascular system's role in disease pathogenesis is critical but not fully understood.
• Existing approaches lack a comprehensive framework for vascular analysis in liver disease.

Purpose of the Study:

• To define and establish 'Vasomics' as a distinct omics discipline.
• To classify hepatic vascular phenotypes for better interpretability.
• To highlight the importance of vascular analysis in understanding and treating liver disease.

Main Methods:

• Integration of pathophysiology, biomechanics, medical imaging, computational science, and AI.
• Multimodality medical imaging and functional vascular assessments.
• Pathological image evaluation and computational methods for phenotype extraction.

Main Results:

• Established a comprehensive definition and framework for Vasomics.
• Classified hepatic vascular phenotypes into anatomical, biomechanical, biochemical, pathophysiological, and composite categories.
• Demonstrated the potential of Vasomics to reveal vascular contributions to disease.

Conclusions:

• Vasomics offers a multidimensional, multiscale approach to study the vascular system.
• Understanding vascular phenotypes is crucial for precision medicine in liver disease.
• Further recognition and application of Vasomics are needed for clinical impact.