Objective
This proposal aims to investigate the biomechanical mechanisms driving adverse aortic remodeling in patients with genetically triggered thoracic aortic aneurysms (TAA) following prosthetic graft surgery. The study seeks to identify critical features of both native aortic tissue and prosthetic grafts that contribute to the increased risk of distal aortic complications, such as dissection and aneurysm.
These objectives will be achieved by:
1. Advanced imaging and computational modeling: We will employ state-of-the-art cardiac magnetic resonance imaging (CMR) and 4D flow MRI to gather detailed pre- and post-operative data. This data will inform fluid-structure interaction (FSI) models to simulate the complex biomechanical interactions between grafts and the native aorta, providing insights that extend beyond traditional approaches.
2. Biomechanical and genetic integration: By analyzing the stiffness and wall shear stress (WSS) of the aorta before and after grafting, and correlating these changes with clinical outcomes, the study bridges the gap between genetic predispositions and biomechanical responses. This approach will also explore the role of hemodynamic forces in driving the progression of TAA, helping to identify patients at higher risk for adverse outcomes.
3. Tailored graft design: The proposal’s innovative approach includes the development of grafts with compliance tailored to individual patient characteristics. These tailored grafts, designed using FSI simulations, have the potential to reduce the risk of adverse remodeling, setting this study apart from others that use standard graft materials.
This proposal advances personalized medicine by integrating genetic and biomechanical insights to enhance patient-specific treatment of thoracic aortic aneurysms. It aligns with MSCA’s goals by fostering interdisciplinary collaboration, driving innovation in healthcare, and translating research into tangible societal benefits.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciencesclinical medicineangiologyvascular diseases
- medical and health sciencesclinical medicinesurgery
- natural sciencesbiological sciencesbiophysics
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
20133 Milano
Italy