m6AHD: a new framework for identifying abnormal N6-methyladenosine (m6A) in heart diseases based on sequencing

Jiajie Lu1,2,3, Yanan Li3,4, Yuxiang Hong3,5

  • 1Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.

Frontiers in Genetics
|March 12, 2026
PubMed

Insights

This study introduces m6AHD, a novel framework for predicting RNA modification changes in cardiovascular diseases. It identifies potential therapeutic targets by analyzing epitranscriptome data, aiding in the development of new cardiac treatments.

Area of Science:

  • Epigenetics and Molecular Biology
  • Cardiovascular Research
  • Computational Biology

Background:

  • Cardiovascular disease (CVD) poses a significant health threat, with increasing incidence in younger populations.
  • RNA modifications, particularly N6-methyladenosine (m6A), are crucial epigenetic regulators involved in cardiac function and disease.
  • Understanding m6A's role in heart conditions is vital for identifying novel therapeutic targets.

Purpose of the Study:

  • To develop the first predictive model for abnormal m6A modification across diverse cardiac pathologies.
  • To systematically investigate m6A epitranscriptome profiles in various heart conditions.
  • To identify potential therapeutic targets at the epitranscriptome level for cardiovascular diseases.

Main Methods:

  • Integrated m6A epitranscriptome data from five cardiac pathological conditions and controls.
  • Constructed predictive models for upregulated and downregulated m6A modifications.
  • Performed feature selection, parameter optimization, and validated models using independent test sets and zebrafish models.

Main Results:

  • The m6AHD framework achieved excellent predictive performance (AUROC 0.728-0.880) across different cardiac pathologies.
  • m6A modifications show conserved patterns across conditions, suggesting shared regulatory factors.
  • Zebrafish model validation confirmed aberrant m6A machinery involvement in cardiotoxicity.

Conclusions:

  • m6AHD is the first framework for predicting cardiac m6A dysregulation, highlighting m6A homeostasis's importance in cardiomyocytes.
  • Aberrant m6A methylation patterns serve as reliable indicators of cardiac pathology.
  • This computational tool facilitates the identification of novel epitranscriptome-level therapeutic targets for CVDs.
Abstract