Simulated lipoprotein transport in the wall of branched arteries.
Study of arterial blood flow dynamics improves our understanding of the development of cardiovascular diseases such as atherosclerosis. The transport and accumulation of macromolecules in the arterial wall can be influenced by local fluid mechanics. We used numeric simulations to investigate such transport in a T-junction model. Presumably an in vitro experiment would consist of gel segments inserted in the walls of a mechanical flow T-junction model near branch points where separation and recirculation zones are expected. The transport of low density lipoprotein (LDL) was investigated theoretically at these sites in a two dimensional numeric T-branch model. In the numeric model, the hydraulic conductivity of the porous gel wall segments was varied for a fixed species diffusivity to provide simulations with wall transmural Peclet numbers ranging from 0.3 to 30. Steady state flow patterns in the lumen of the two dimensional T-branch were simulated at Reynolds numbers of 250 and 500, using the software package FIDAP 7.61 to implement the finite element method. The simulations demonstrated that wall Peclet numbers greater than 1.0 were needed to achieve species concentration gradients within the wall that varied in the axial direction, thereby reflecting the influence of disturbed flow and pressure patterns in the lumen. As expected, the transmural concentration gradients were steeper when convection predominated. Blood flow in the lumen can influence the distribution of macromolecules in the arterial wall and needs to be investigated for the relevance to atherosclerosis.
Darbeau
M Z
MZ
Department of Chemical Engineering, Howard University, Washington, DC 20059, USA.
Lutz
R J
RJ
Collins
W E
WE
D001158:Arteries / Q000378:metabolism*; D001161:Arteriosclerosis / Q000209:etiology; D001693:Biological Transport, Active; D001783:Blood Flow Velocity; D006439:Hemodynamics; D006801:Humans; D008074:Lipoproteins / Q000097:blood / Q000378:metabolism*; D008077:Lipoproteins, LDL / Q000097:blood / Q000378:metabolism; D008955:Models, Cardiovascular; D012984:Software
D008074:Lipoproteins; D008077:Lipoproteins, LDL