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Updated: Jun 30, 2025

Isolation of Mouse Interstitial Valve Cells to Study the Calcification of the Aortic Valve In Vitro
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Identification of hub genes in calcific aortic valve disease

Qian-Cheng Lai1, Jie Zheng2, Jian Mou3

  • 1Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Sichuan Provincial People's Hospital, Chengdu, 610000, Sichuan, China.

Computers in Biology and Medicine
|March 20, 2024
PubMed

Insights

Calcific aortic valve disease (CAVD) involves aortic valve calcification, leading to stenosis. This study identifies potential gene targets for early prevention and diagnosis of this growing health burden.

Area of Science:

  • Cardiovascular Biology
  • Genomics
  • Translational Medicine

Background:

  • Calcific aortic valve disease (CAVD) is a progressive heart valve disorder characterized by aortic valve calcification, stiffness, and dysfunction.
  • CAVD affects aging populations and is associated with hypertension, dyslipidemia, smoking, and genetics, posing a significant health and economic burden.
  • Currently, no effective medications exist to manage or delay CAVD progression, which inevitably leads to aortic stenosis.

Purpose of the Study:

  • To identify key hub genes associated with the development of CAVD.
  • To discover potential biological targets for the early prevention and diagnosis of CAVD.
  • To provide a foundation for future research into therapeutic strategies for CAVD.

Main Methods:

  • Utilized bioinformatics analysis of four publicly available microarray datasets (GSE12644, GSE51472, GSE77287, GSE233819) from the GEO database.
  • Focused on datasets specifically related to Calcific Aortic Valve Disease (CAVD).
  • Employed data mining techniques to identify significant gene expression patterns and hub genes.

Main Results:

  • Identified specific hub genes implicated in the occurrence of CAVD.
  • Provided preliminary evidence for novel biological targets relevant to CAVD.
  • The findings lay the groundwork for further investigation into the molecular mechanisms of CAVD.

Conclusions:

  • The study offers preliminary insights into potential therapeutic and preventive targets for CAVD.
  • Identified hub genes may serve as biomarkers for early diagnosis or therapeutic intervention.
  • This research supports the development of future biological studies aimed at combating CAVD.

Keywords:
Calcific aortic valve diseaseHub genesRobust rank aggregationSupport vector machine

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