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Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Aortic Regurgitation I: Introduction01:15

Aortic Regurgitation I: Introduction

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IntroductionAortic regurgitation is characterized by the backward flow of blood from the aorta into the left ventricle during diastole and arises from the improper closure of the aortic valve. This condition results in left ventricular volume overload and can stem from both acute and chronic etiologies, each contributing uniquely to the disease's progression and symptomatology.Acute and Chronic CausesAcute aortic regurgitation often results from events that suddenly impair the integrity of the...
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Coronary Artery Disease II: Pathophysiology01:26

Coronary Artery Disease II: Pathophysiology

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Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
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Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

153
Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
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Related Experiment Video

Updated: Nov 7, 2025

Isolation of Mouse Interstitial Valve Cells to Study the Calcification of the Aortic Valve In Vitro
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Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.

Mark C Blaser1, Simon Kraler2, Thomas F Lüscher2,3,4

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

Circulation Research
|April 29, 2021
PubMed
Summary

Calcific aortic valve disease, a growing epidemic, lacks effective drug treatments. Multiomics approaches are key to understanding its complex biology and finding new therapeutic targets for this intractable heart condition.

Keywords:
aortic stenosisaortic valve diseasegene expression profilinggenomicsmetabolomicsproteomicssystems biology

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Area of Science:

  • Cardiovascular Biology
  • Genomics and Systems Biology
  • Translational Medicine

Background:

  • Calcific aortic valve disease (CAVD) prevalence is rising globally due to aging, obesity, diabetes, and renal dysfunction.
  • CAVD progression leads to aortic stenosis, heart failure, and premature death, with no current pharmacotherapy to halt its course.
  • Aortic valve replacement remains the only treatment, highlighting a critical need for novel therapeutic strategies.

Purpose of the Study:

  • To review the application of multiomics approaches in understanding CAVD pathogenesis.
  • To discuss the potential of single-cell resolution omics for characterizing valvular (patho)biology.
  • To explore systems biology and network medicine for identifying drug targets in CAVD.

Main Methods:

  • Summarizing the use of (epi)genomics, transcriptomics, proteomics, and metabolomics in studying valvular heart disease.
  • Highlighting single-cell omics for detailed analysis of cellular heterogeneity in healthy and diseased valves.
  • Discussing systems biology and network medicine for multiomics data interpretation and target identification.

Main Results:

  • Multiomics approaches offer a comprehensive strategy to define CAVD pathogenesis.
  • Single-cell resolution omics reveal cellular heterogeneity, crucial for understanding disease mechanisms.
  • Systems biology and network medicine can translate complex omics data into actionable insights and drug targets.

Conclusions:

  • Multiomics, particularly at single-cell resolution, is essential for unraveling CAVD complexity.
  • These advanced approaches promise to identify effective pharmacotherapies beyond invasive valve replacement.
  • Targeting specific cell subpopulations identified through omics data holds potential for novel CAVD treatments.