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Updated: Nov 4, 2025

Isolation of Mouse Interstitial Valve Cells to Study the Calcification of the Aortic Valve In Vitro
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Identification of key genes in calcific aortic valve disease via weighted gene co-expression network analysis

Jin-Yu Sun1, Yang Hua1, Hui Shen1

  • 1Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210000, China.

BMC Medical Genomics
|May 22, 2021
PubMed

Insights

Calcific aortic valve disease (CAVD) mechanisms are unclear. This study identified SPP1, TNC, SCG2, FAM20A, and CD52 as potential hub genes linked to CAVD, offering targets for future therapies.

Area of Science:

  • Cardiovascular Biology
  • Genomics
  • Molecular Biology

Background:

  • Calcific aortic valve disease (CAVD) is a prevalent condition in the elderly, leading to aortic valve stenosis.
  • The precise molecular mechanisms driving CAVD progression are not fully understood.

Purpose of the Study:

  • To identify key genes and molecular pathways involved in the development of CAVD.
  • To uncover potential therapeutic targets for CAVD.

Main Methods:

  • Analysis of gene expression profiles using 'limma' and weighted gene co-expression network analysis (WGCNA).
  • Enrichment analysis (GO, KEGG) and protein-protein interaction network construction.
  • Identification of hub genes using mixed character calculation.

Main Results:

  • The blue and yellow modules were identified as key modules associated with CAVD.
  • Enrichment analysis highlighted leukocyte migration and extracellular matrix components.
  • SPP1, TNC, SCG2, FAM20A, and CD52 were identified as significant hub genes.

Conclusions:

  • SPP1, TNC, SCG2, FAM20A, and CD52 are proposed as potential hub genes implicated in CAVD.
  • These findings provide a basis for further research into CAVD mechanisms and therapeutic strategies.
Abstract

Keywords:
Calcific aortic valve diseaseDifferentially expressed genesIntegrated bioinformatics analysisWeighted gene co-expression network analysis

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