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Updated: Nov 1, 2025

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Identification of Potential miRNA-mRNA Regulatory Network Contributing to Hypertrophic Cardiomyopathy (HCM)

Lin Wang1, Fengmin Lu1, Jing Xu1

  • 1Cardiology Department, Tianjin Chest Hospital, Tianjin, China.

Frontiers in Cardiovascular Medicine
|June 17, 2021
PubMed

Insights

This study identifies a microRNA-mRNA regulatory network and a predictive model for hypertrophic cardiomyopathy (HCM). The findings offer potential new diagnostic tools for this myocardial disease.

Area of Science:

  • Cardiovascular Biology
  • Molecular Genetics
  • Genomics

Background:

  • Hypertrophic cardiomyopathy (HCM) is a myocardial disease with largely unknown pathogenesis.
  • MicroRNA (miRNA)-mRNA regulatory networks are increasingly implicated in disease development.
  • Understanding these networks is crucial for elucidating HCM etiology.

Purpose of the Study:

  • To explore the miRNA-mRNA regulatory axis in hypertrophic cardiomyopathy.
  • To identify key molecular players and pathways involved in HCM.
  • To develop a predictive model for HCM diagnosis.

Main Methods:

  • Utilized Gene Expression Omnibus (GEO) database for miRNA and mRNA expression profiles.
  • Identified differentially expressed miRNAs (DEMs) and genes (DEGs).
  • Constructed a miRNA-mRNA regulatory network and a logistic regression model for HCM prediction.

Main Results:

  • Identified 224 upregulated and 366 downregulated DEGs, and 10 upregulated and 14 downregulated DEMs.
  • Discovered 384 DEM-targeted genes, with 20 overlapping DEGs.
  • A logistic regression model using four miRNAs and three mRNAs demonstrated high predictive performance (AUC > 0.9).

Conclusions:

  • A significant miRNA-mRNA regulatory network in HCM was identified.
  • The developed logistic regression model shows promise as a diagnostic method for HCM.
  • These findings contribute to understanding HCM pathogenesis and offer potential diagnostic strategies.

Keywords:
KEGGgohypertrophic cardiomyopathylogistic modelmiRNA-mRNA network

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