The science of BAV aortopathy

Federica Lo Presti1, David G Guzzardi2, Ciro Bancone1

  • 1Department of Translational Medical Sciences, University of Campania "L. Vanvitelli", Naples, Italy.

Insights

Bicuspid aortic valve (BAV) aortopathy involves complex genetic and hemodynamic factors. Understanding these multifactorial mechanisms is crucial for managing aortic diseases like aneurysm and dissection in BAV patients.

Area of Science:

  • Cardiovascular Medicine
  • Genetics
  • Biomedical Engineering

Background:

  • Aortopathy is a significant complication of bicuspid aortic valve (BAV), leading to aortic aneurysm and dissection.
  • The precise pathogenesis of BAV-associated aortopathy remains incompletely understood, likely involving complex interactions.
  • Existing research highlights the interplay of genetic predispositions and altered hemodynamic forces.

Purpose of the Study:

  • To review current knowledge on the pathogenesis of aortopathy in patients with bicuspid aortic valve.
  • To synthesize evidence from genetic and hemodynamic studies.
  • To discuss the implications for clinical management and future research.

Main Methods:

  • Literature review of genetic studies identifying variants associated with BAV and aortopathy.
  • Analysis of research on hemodynamic alterations in BAV patients, including flow patterns and wall shear stress.
  • Examination of molecular and cellular changes in the aortic wall.

Main Results:

  • Genetic studies have identified several variants (e.g., NOTCH1, TGFBR2) but explain a small percentage of cases.
  • Hemodynamic investigations reveal abnormal flow dynamics and increased stress on the aortic wall.
  • Cellular and molecular changes include extracellular matrix degradation, smooth muscle cell alterations, and TGF-β pathway imbalance.

Conclusions:

  • BAV aortopathy pathogenesis is multifactorial, driven by a complex interplay of genetic and hemodynamic factors.
  • Diverse aortopathy phenotypes in BAV patients may have prognostic significance.
  • A comprehensive understanding of these mechanisms is essential for advancing clinical management strategies.

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