A systems approach to aortic wall pathology: bridging fundamental research and clinical practice

Research output: ThesisDoctoral ThesisInternal

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Abstract

An aortic aneurysm is a dilation of the wall of the aorta, the body's largest artery. This condition can be life-threatening, particularly when the aneurysm ruptures, which can lead to severe internal bleeding.Currently, the diameter of the aneurysm is considered the primary criterion in both diagnosis and the decision-making process for surgical intervention.

In this study, tissue samples from over 50 patients were examined. The findings revealed that not every patient with an aneurysm has a thin aortic wall that is prone to rupture. A significant group of patients develops a thickened wall as a compensatory mechanism in response to elastin degradation. In contrast, another group lacks this compensatory response, resulting in a progressively thinning aortic wall as the dilation increases.This latter group represents a high-risk population for developing a wall rupture, which may lead to fatal bleeding.

The results of this thesis demonstrate that, in addition to diameter, there are other measurable variables — such as intima-media thickness, structural abnormalities of the extracellular matrix, and cell density — which may serve as better predictors of rupture risk. Surgeons could potentially apply these parameters in clinical practice, provided that appropriate radiological techniques are developed to visualize them reliably. In this way, unnecessary surgeries can be avoided, and only patients with a high risk will undergo surgical treatment.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Schurgers, Leon, Supervisor
  • Bidar, Elham, Supervisor
  • Maessen, Jos, Supervisor
  • Reesink, Koen, Co-Supervisor
Award date2 Jul 2025
Place of PublicationMaastricht
Publisher
Print ISBNs9789465223438
DOIs
Publication statusPublished - 2 Jul 2025

Keywords

  • Aortic wall remodeling
  • Biobanking
  • cell-matrix interaction
  • patient specific treatment

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