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Related Experiment Video

Updated: Aug 12, 2025

Calcification of Vascular Smooth Muscle Cells and Imaging of Aortic Calcification and Inflammation

Calcification of Vascular Smooth Muscle Cells and Imaging of Aortic Calcification and Inflammation

Published on: May 31, 2016

Network-Guided Multiomic Mapping of Aortic Valve Calcification.

Mark C Blaser¹, Simon Kraler², Thomas F Lüscher^2,3,4

¹Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (M.C.B., E.A.).

Arteriosclerosis, Thrombosis, and Vascular Biology

|February 2, 2023

Summary

Molecular insights into calcific aortic valve disease (CAVD) are limited, hindering new drug development. This review integrates multi-omics data and systems biology to identify potential therapeutic targets for CAVD, aiming to move beyond valve replacement.

Keywords:

aortic valve stenosis gene expression profiling genomics metabolomics proteomics systems biology

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Published on: January 27, 2023

Area of Science:

Cardiovascular Biology
Genomics and Systems Biology
Translational Medicine

Background:

Calcific aortic valve disease (CAVD) causes severe heart conditions, including heart failure and death, yet lacks effective drug therapies.
The complex and heterogeneous nature of valvular calcification presents significant challenges for research and treatment development.

Purpose of the Study:

To review current research on the molecular mechanisms underlying CAVD initiation and progression.
To explore the integration of multi-omics data (genomics, transcriptomics, proteomics, metabolomics) with network medicine and systems biology approaches.
To identify and prioritize druggable targets for potential pharmacotherapies for CAVD.

Main Methods:

Comprehensive review of studies investigating (epi-)genomic, transcriptomic, proteomic, and metabolomic profiles in aortic valve calcification.
Application of network medicine and systems biology strategies to integrate diverse omics datasets.
Prioritization of potential therapeutic targets based on integrated data analysis for experimental validation.

Main Results:

Multi-omics data reveal complex molecular pathways involved in the fibrocalcific spectrum of CAVD.
Systems biology approaches enable the identification of interconnected molecular networks driving disease progression.
Several prioritized druggable targets warrant further investigation for therapeutic potential.

Conclusions:

A holistic, multi-omics approach is crucial for understanding CAVD pathobiology.
Integrating diverse datasets through systems biology can uncover novel therapeutic strategies.
This research may pave the way for pharmacotherapies to treat CAVD, offering an alternative to valve replacement.