The aorta in Marfan syndrome: from molecular mechanisms to mechanobiological dysfunction

Jay D Humphrey1,2, Dianna M Milewicz3

  • 1Department of Biomedical Engineering, Yale University, New Haven, CT, 06511  USA.

Insights

Marfan syndrome (MFS) is a genetic disorder affecting connective tissues. Research reviews advances in understanding thoracic aortic disease progression and developing new therapies for MFS.

Area of Science:

  • Genetics and Molecular Biology
  • Cardiovascular Research
  • Connective Tissue Disorders

Background:

  • Marfan syndrome (MFS) is an autosomal dominant disorder impacting cardiovascular, musculoskeletal, and ocular systems.
  • Pathogenic variants in FBN1, encoding fibrillin-1, are the primary cause of MFS, affecting elastic fiber integrity.
  • Thoracic aortic dissection is a frequent cause of premature mortality in MFS patients.

Purpose of the Study:

  • To review recent advancements in understanding the progression of aortic disease in Marfan syndrome.
  • To explore insights from genetics, histology, mechanobiology, and biomechanics.
  • To highlight the role of mouse models and computational approaches in developing novel therapies.

Main Methods:

  • Review of existing literature on Marfan syndrome and thoracic aortic disease.
  • Focus on studies utilizing genetically modified mouse models to investigate disease mechanisms.
  • Analysis of data from genetic, histological, mechanobiological, and biomechanical perspectives.

Main Results:

  • Significant progress has been made in understanding the genetic and molecular underpinnings of MFS aortic disease.
  • Mouse models reveal complex gene expression changes in the aorta, with cell-specific alterations.
  • Pharmacological treatments and genetic modifications in models offer insights into therapeutic strategies.

Conclusions:

  • Despite 35 years since FBN1 discovery, a complete understanding of variant-disease links and definitive treatments for MFS aortic disease is still lacking.
  • Delineating compensatory versus pathological gene expression changes is crucial for targeted therapies.
  • Data-driven computational models are essential for integrating multimodal data to advance MFS therapeutic development.

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