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Genetic targets related to aging for the treatment of coronary artery disease

  • 0Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Bmc Medical Genomics +

|

April 9, 2025

|

April 9, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies eight aging-related genes (ARCGs) linked to Coronary Artery Disease (CAD) and suggests retinoic acid and resveratrol as potential therapeutic drugs for CAD treatment.

Area Of Science

  • Cardiovascular Biology
  • Genomics
  • Aging Research

Background

  • Coronary Artery Disease (CAD) is a leading global health concern, with aging being a primary risk factor.
  • Understanding the molecular mechanisms linking aging and CAD is crucial for developing effective treatments.

Purpose Of The Study

  • To investigate the role of aging-related genes in Coronary Artery Disease (CAD) pathogenesis.
  • To identify potential molecular targets and predict candidate drugs for CAD diagnosis and treatment.

Main Methods

  • Analyzed gene expression data from CAD patients to identify differentially expressed aging genes.
  • Utilized machine learning (LASSO, Random Forest) to screen for aging-related characteristic genes (ARCGs) and evaluated diagnostic efficacy using nomograms and ROC curves.
  • Performed pathway analysis, immune cell estimation, molecular docking, and single-cell RNA sequencing to explore ARCG functions and therapeutic potential.

Main Results

  • Identified eight ARCGs associated with CAD, with specific genes up- or down-regulated in patients.
  • Classified CAD patients into two molecular clusters based on ARCGs, revealing distinct functional pathway involvements.
  • Discovered retinoic acid and resveratrol as potential drugs with good binding affinity to target genes, and confirmed specific ARCG expression in atherosclerotic cells.

Conclusions

  • Several ARCGs are implicated in the pathogenesis and progression of CAD.
  • Retinoic acid and resveratrol show promise as candidate drugs for inhibiting identified ARCG targets in CAD.

Keywords:

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