Turnover of fibrillar collagen in soft biological tissue with application to the expansion of abdominal aortic aneurysms
2012 (English)In: Journal of the Royal Society Interface, ISSN 1742-5662, E-ISSN 1742-5689, Vol. 9, no 77, 3366-3377 p.Article in journal (Refereed) Published
A better understanding of the inherent properties of vascular tissue to adapt to its mechanical environment is crucial to improve the predictability of biomechanical simulations. Fibrillar collagen in the vascular wall plays a central role in tissue adaptation owing to its relatively short lifetime. Pathological alterations of collagen turnover may fail to result in homeostasis and could be responsible for abdominal aortic aneurysm (AAA) growth at later stages of the disease. For this reason our previously reported multiscale constitutive framework (Martufi, G. & Gasser, T. C. 2011 J. Biomech. 44, 2544-2550 (doi:10.1016/j.jbiomech.2011.07.015)) has been enriched by a collagen turnover model. Specifically, the framework's collagen fibril level allowed a sound integration of vascular wall biology, and the impact of collagen turnover on the macroscopic properties of AAAs was studied. To this end, model parameters were taken from the literature and/or estimated from clinical follow-up data of AAAs (on average 50.7 mm-large). Likewise, the in vivo stretch of the AAA wall was set, such that 10 per cent of collagen fibres were engaged. Results showed that the stretch spectrum, at which collagen fibrils are deposed, is the most influential parameter, i.e. it determines whether the vascular geometry grows, shrinks or remains stable over time. Most importantly, collagen turnover also had a remarkable impact on the macroscopic stress field. It avoided high stress gradients across the vessel wall, thus predicted a physiologically reasonable stress field. Although the constitutive model could be successfully calibrated to match the growth of small AAAs, a rigorous validation against experimental data is crucial to further explore the model's descriptive and predictive capabilities.
Place, publisher, year, edition, pages
2012. Vol. 9, no 77, 3366-3377 p.
remodelling, aneurysm, growth, rupture, constitutive modelling, vascular tissue
IdentifiersURN: urn:nbn:se:kth:diva-101983DOI: 10.1098/rsif.2012.0416ISI: 000310573100020ScopusID: 2-s2.0-84868575742OAI: oai:DiVA.org:kth-101983DiVA: diva2:550173
FunderSwedish Research Council, 2006-7568VinnovaSwedish Foundation for Strategic Research EU, FP7, Seventh Framework Programme, FAD-200647
QC 201212072012-09-062012-09-062012-12-07Bibliographically approved