Sex differences in the genetic and molecular mechanisms of coronary artery disease.

Atherosclerosis

Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands. Electronic address:

Published: November 2023

AI Article Synopsis

  • * Researchers identified over 40 candidate genes related to sex differences in cardiovascular health, focusing on mechanisms impacting vascular remodeling and lipid metabolism, particularly in smooth muscle cells in women.
  • * To better understand these sex differences in CAD, the study emphasizes the need for improved research designs that include more women and conduct thorough analysis stratified by sex, alongside integrating various types of biological data.

Article Abstract

Sex differences in coronary artery disease (CAD) presentation, risk factors and prognosis have been widely studied. Similarly, studies on atherosclerosis have shown prominent sex differences in plaque biology. Our understanding of the underlying genetic and molecular mechanisms that drive these differences remains fragmented and largely understudied. Through reviewing genetic and epigenetic studies, we identified more than 40 sex-differential candidate genes (13 within known CAD loci) that may explain, at least in part, sex differences in vascular remodeling, lipid metabolism and endothelial dysfunction. Studies with transcriptomic and single-cell RNA sequencing data from atherosclerotic plaques highlight potential sex differences in smooth muscle cell and endothelial cell biology. Especially, phenotypic switching of smooth muscle cells seems to play a crucial role in female atherosclerosis. This matches the known sex differences in atherosclerotic phenotypes, with men being more prone to lipid-rich plaques, while women are more likely to develop fibrous plaques with endothelial dysfunction. To unravel the complex mechanisms that drive sex differences in CAD, increased statistical power and adjustments to study designs and analysis strategies are required. This entails increasing inclusion rates of women, performing well-defined sex-stratified analyses and the integration of multi-omics data.

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Source
http://dx.doi.org/10.1016/j.atherosclerosis.2023.117279DOI Listing

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