Gene Expression Changes of Humans with Primary Mitral Regurgitation and Reduced Left Ventricular Ejection Fraction

Int J Mol Sci. 2021 Mar 26;22(7):3454. doi: 10.3390/ijms22073454.

Abstract

Patients with primary mitral regurgitation (MR) may remain asymptomatic for many years. For unknown reasons, some shift from a compensated to a decompensated state and progress to fatal heart failure. To elucidate the genetic determinants of this process, we recruited 28 patients who underwent mitral valve surgery and stratified them into control, compensated MR, and decompensated MR groups. Tissue biopsies were obtained from the patients' left ventricular (LV) lateral wall for a transcriptome-wide profiling of 64,769 probes to identify differentially expressed genes (DEGs). Using cutoff values at the 1% FDR significance level and sex- and age-adjusted regression models, we identified 12 significant DEGs (CTGF, MAP1B, SERPINE1, MYH9, MICAL2, MYO1D, CRY1, AQP7P3, HTRA1, PRSS23, IGFBP2, and FN1). The most significant gene was CTGF (adjusted R2 = 0.74, p = 1.80 × 10-8). We found that the majority of genes expressed in the more advanced decompensated MR group were pro-fibrotic genes associated with cardiac fibrosis. In particular, six pro-fibrotic genes (CTGF, SERPINE1, MYH9, HTRA1, PRSS23, and FN1) were overexpressed and enriched in pathways involved in ECM (extracellular matrix) protein remodeling. Therapeutic interventions that antagonize these six genes may slow the progression toward decompensated MR.

Keywords: cardiac fibrosis; mitral regurgitation; reduced ejection fraction; transcriptome-wide association analysis.

MeSH terms

  • Aged
  • Biopsy
  • Extracellular Matrix / metabolism
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Heart Ventricles / metabolism*
  • Humans
  • Male
  • Middle Aged
  • Mitral Valve / pathology
  • Mitral Valve Insufficiency / complications
  • Mitral Valve Insufficiency / metabolism*
  • Mitral Valve Insufficiency / physiopathology*
  • Oligonucleotide Array Sequence Analysis
  • Regression Analysis
  • Stroke Volume
  • Transcriptome
  • Ventricular Dysfunction, Left / complications
  • Ventricular Dysfunction, Left / physiopathology*
  • Ventricular Function, Left
  • Ventricular Remodeling / genetics