Objective
Accelerated arterial stiffening, an important complication in diabetes, increases cardiac workload eventually leading to heart failure. The arterial wall —consisting of elastin, collagen, smooth muscle, and glycosaminoglycans— may stiffen in diabetes due to 1) advanced glycation end-product (AGE)-induced collagen cross-linking, 2) calcification, or 3) changed glycosaminoglycan composition. The exact mechanical stiffening effects of these processes are unknown. Current preclinical, state-of-the-art measurement methods characterise arterial wall mechanics under static conditions. However, AGE-induced and glycosaminoglycan-associated wall stiffening may particularly affect dynamic characteristics (viscoelasticity) — especially relevant in vivo where arteries are subject to pulsatile blood pressure. The novel set-up for mechanical characterisation under such dynamic conditions I have previously developed still requires a matching computer modelling framework to correctly interpret the multidimensional, dynamic measurement data. I aim to 1) develop this modelling framework and 2) use it to quantify the characteristics of diabetes-associated stiffening processes by studying murine arteries with increased calcification, collagen cross-linking, glycosaminoglycan content, and combinations thereof. The forthcoming measurement platform —already sparking interest among international collaborators— enables realistic preclinical biomechanical arterial characterisation and will be the integrative keystone in my multidisciplinary research career. Its application to diabetes-associated arterial stiffening may yield breakthrough target and focus to further treatment of patients. Furthermore, its accessibility to (inter)national collaborators will be ensured by its implementation at the independent Special Skills & Advanced Phenotyping unit at the Maastricht University Biomedical Center — a dedicated core laboratory for phenotyping of small animal models.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine endocrinology diabetes
- medical and health sciences clinical medicine cardiology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-GF - Global Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
6200 MD Maastricht
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.