Gene expression patterns of the four cardiac chambers in the Thoroughbred horse

Charlotte E Edling1, Magdalena Arevalo-Turrubiarte1, Antoine Premont1

  • 1School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Daphne Jackson Road, Guildford, Surrey GU2 7AL, United Kingdom.

Insights

Gene expression in healthy racehorse hearts reveals distinct patterns between chambers. The right atrium shows lower metabolism genes, while the left atrium has higher cardiac conduction genes, impacting equine athletic performance.

Area of Science:

  • Equine cardiology
  • Molecular biology
  • Gene expression analysis

Background:

  • Cardiac function is crucial for athletic horse performance.
  • Understanding heart gene expression in Thoroughbreds is limited.
  • Electrophysiological differences across heart chambers are not fully characterized.

Purpose of the Study:

  • To investigate gene expression in the four chambers of healthy Thoroughbred racehorse hearts.
  • To identify chamber-specific differences in genes related to cardiac electrophysiology.
  • To provide a comprehensive gene expression overview in equine cardiac tissue.

Main Methods:

  • Microarray analysis of RNA from left atrium, right atrium, left ventricle, and right ventricle.
  • Comparison of gene expression between atrial and ventricular chambers.
  • Comparison of gene expression between left and right heart sides.

Main Results:

  • Right atrium exhibits significantly lower expression of energy metabolism genes compared to other chambers.
  • Left atrium shows higher expression of cardiac conduction genes and lower expression of cardiac morphogenesis genes than ventricles.
  • Distinct atrial-ventricular specificity observed for potassium channels (KCNE1, KCNJ2,3,4).
  • Calcium regulation genes are more abundant in atria than ventricles.

Conclusions:

  • Significant chamber-specific gene expression differences exist in healthy equine hearts.
  • These differences, particularly in ion channels and metabolism, may influence cardiac function and performance.
  • This study provides foundational gene expression data for equine cardiac research.