Math. Model. Nat. Phenom.
Volume 14, Number 6, 2019
Reviews in mathematical modelling
|Number of page(s)||25|
|Published online||19 December 2019|
Mathematical modelling of atherosclerosis
Department of Computer Science and Mathematics, Lebanese American University P.O. Box 36,
2 CEMAT/IST Instituto Superior Técnico Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal.
3 Departamento de Matemática, Instituto Superior Técnico Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal.
4 Moscow Institute of Physics and Technology, 9 Instituskii Lane, 141707 Dolgoprudny, Russia.
5 Marchuk Institute of Numerical Mathematics RAS, 7 Gubkina St., 119333 Moscow, Russia.
6 Sechenov University, 8-2 Trubetskaya st., 119991 Moscow, Russia.
7 Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France.
8 INRIA Team Dracula, INRIA Lyon La Doua, 69603 Villeurbanne, France.
9 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow 117198, Russia.
* Corresponding author: firstname.lastname@example.org
Accepted: 5 November 2019
The review presents the state of the art in the atherosclerosis modelling. It begins with the biological introduction describing the mechanisms of chronic inflammation of artery walls characterizing the development of atherosclerosis. In particular, we present in more detail models describing this chronic inflammation as a reaction-diffusion wave with regimes of propagation depending on the level of cholesterol (LDL) and models of rolling monocytes initializing the inflammation. Further development of this disease results in the formation of atherosclerotic plaque, vessel remodelling and possible plaque rupture due its interaction with blood flow. We review plaque-flow interaction models as well as reduced models (0D and 1D) of blood flow in atherosclerotic vasculature.
Mathematics Subject Classification: 92C35 / 35K57 / 74F10
Key words: Atherosclerosis modelling / inflammation / hemodynamics / fluid-structure interaction
© EDP Sciences, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.