Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics

Zetao Ma1,2, Xizhi Wang1, Qingbo Lv1

  • 1Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China.

Insights

This study identified five key genes involved in hypertrophic cardiomyopathy (HCM), a common inherited heart disease. These genes show potential as therapeutic targets and biomarkers for diagnosing and treating HCM.

Area of Science:

  • Cardiovascular Genetics
  • Molecular Cardiology
  • Systems Biology

Background:

  • Hypertrophic cardiomyopathy (HCM) is a prevalent inherited cardiovascular disease and a major cause of sudden cardiac death.
  • Current effective treatments for HCM remain limited, highlighting the need for novel therapeutic strategies.
  • Identifying key genes (hub genes) is crucial for discovering potential therapeutic targets and diagnostic biomarkers for HCM.

Purpose of the Study:

  • To identify hub genes associated with hypertrophic cardiomyopathy (HCM) using gene expression datasets.
  • To investigate the diagnostic value and expression levels of potential hub genes in HCM.
  • To explore the role of identified hub genes in the development and progression of HCM.

Main Methods:

  • Analysis of three Gene Expression Omnibus datasets for HCM, with merging of two datasets using the "sva" package.
  • Weighted gene coexpression network analysis (WGCNA) to identify the key module significantly correlated with HCM.
  • Identification of potential hub genes based on intramodular connectivity, followed by receiver operating characteristic (ROC) curve analysis for diagnostic value verification.

Main Results:

  • A total of 455 differentially expressed genes (DEGs) were identified between normal and hypertrophic myocardium.
  • The blue module from WGCNA was identified as the key module positively correlated with HCM, with enrichment analysis pointing to extracellular matrix, fibrosis, and neurohormone pathways.
  • Five hub genes (FRZB, COL14A1, CRISPLD1, LUM, and sFRP4) were identified, showing significant upregulation in HCM patients and transverse aortic constriction (TAC) mouse models, with LUM and sFRP4 protein expression also increased in TAC mice.

Conclusions:

  • This research successfully identified five hub genes implicated in the pathogenesis of hypertrophic cardiomyopathy (HCM).
  • These identified hub genes demonstrate significant potential for development as therapeutic targets for HCM.
  • The study suggests these five genes may also serve as valuable biomarkers for the diagnosis and management of HCM.
Abstract