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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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Related Experiment Video

Updated: Jun 5, 2025

Investigating Aortic Valve Calcification via Isolation and Culture of T Lymphocytes using Feeder Cells from Irradiated Buffy Coat
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Calcific aortic stenosis: omics-based target discovery and therapy development.

Mark C Blaser1, Magnus Bäck2,3, Thomas F Lüscher4,5,6

  • 1Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 3 Blackfan Street, 17th Floor, Boston, MA 02115, USA.

European Heart Journal
|December 10, 2024
PubMed
Summary

Calcific aortic valve disease (CAVD) causes aortic stenosis (AS), a common heart condition. Multi-omics studies reveal molecular mechanisms and potential drug targets for new therapies, improving patient outcomes.

Keywords:
Aortic stenosisCalcific aortic valve diseaseClinical trialsOmicsTarget discoveryTranslational research

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Area of Science:

  • Cardiovascular Biology
  • Molecular Medicine
  • Genomics

Background:

  • Calcific aortic valve disease (CAVD) leading to aortic stenosis (AS) is the most prevalent valvular heart disease in adults over 65.
  • Severe symptomatic AS significantly reduces lifespan and quality of life without intervention, with no current pharmaceutical treatments.
  • Understanding CAVD's molecular pathogenesis is crucial for developing effective therapies.

Purpose of the Study:

  • To review advances in understanding CAVD pathogenesis.
  • To identify potential drug targets using multi-omics data from blood and valvular tissues.
  • To discuss the translation of pathobiological insights into clinical therapies for AS.

Main Methods:

  • Review of multi-omics studies (genomics, transcriptomics, proteomics, metabolomics) in CAVD.
  • Focus on single-cell omics approaches for detailed pathobiological insights.
  • Analysis of clinical trial data for AS prevention and treatment.

Main Results:

  • Multi-omics studies provide insights into the molecular mechanisms driving CAVD.
  • Single-cell omics reveals complex cellular interactions and disease pathways.
  • Identification of potential therapeutic targets and strategies for AS treatment.

Conclusions:

  • Advances in omics technologies are crucial for unraveling CAVD pathogenesis.
  • Targeting molecular pathways identified through omics holds promise for novel AS therapies.
  • Clinical translation requires consideration of patient-specific factors and ongoing clinical trials.