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The flow field along the entire length of mouse aorta and primary branches
Yunlong Huo1, Xiaomei Guo, Ghassan S Kassab
1Department of Biomedical Engineering, IUPUI, Indianapolis, IN 46202, USA.
Insights
Atherosclerosis distribution in mouse aorta links to blood flow disturbances. Low wall shear stress (WSS) and high oscillatory shear index (OSI) in specific regions correlate with disease, suggesting a hemodynamic cause.
Area of Science:
- Cardiovascular Research
- Biomedical Engineering
- Computational Fluid Dynamics
Background:
- Atherosclerosis exhibits spatial patterns along the aorta, correlating with disturbed blood flow.
- Understanding hemodynamic forces is crucial for elucidating atherogenesis.
Purpose of the Study:
- To map detailed hemodynamic parameters (wall shear stress (WSS), WSS gradient (WSSG), oscillatory shear index (OSI)) across the entire mouse aorta.
- To investigate the relationship between these hemodynamic parameters and atherosclerosis distribution.
Main Methods:
- Acquired detailed mouse aorta geometry from casts.
- Measured ascending aorta flow velocity; estimated outlet pressure using scaling laws.
- Solved Navier-Stokes equations via 3D finite element method (FEM) for hemodynamic simulation.
Main Results:
- Complex flow patterns identified at aortic branch bifurcations.
- Lowest WSS observed in terminal aorta branches, areas with high atherosclerosis.
- Aortic arch showed complex WSS distribution and higher OSI values compared to other sites.
Conclusions:
- Low WSS and high OSI correlate with atherosclerosis-prone regions in the mouse aorta.
- A power-law relationship exists between low WSS and high OSI.
- The developed model can help elucidate the causal link between hemodynamics and atherogenesis.
Abstract:
There is a spatial disposition to atherosclerosis along the aorta corresponding to regions of flow disturbances. The objective of the present study is to investigate the detailed distribution of hemodynamic parameters (wall shear stress (WSS), spatial gradient of wall shear stress (WSSG), and oscillatory shear index (OSI)) in the entire length of C57BL/6 mouse aorta with all primary branches (from ascending aorta to common iliac bifurcation). The detailed geometrical parameters (e.g., diameter and length of the vessels) were obtained from casts of entire aorta and primary branches of mice. The flow velocity was measured at the inlet of ascending aorta using Doppler flowprobe in mice. The outlet pressure boundary condition was estimated based on scaling law. The continuity and Navier-Stokes equations were solved using three-dimensional finite element method (FEM). The model prediction was tested by comparing the computed flow rate with the flow rate measured just before the common iliac bifurcation, and good agreement was found. It was also found that complex flow patterns occur at bifurcations between main trunk and branches. The major branches of terminal aorta, with the highest proportion of atherosclerosis, have the lowest WSS, and the relatively atherosclerotic-prone aortic arch has much more complex WSS distribution and higher OSI value than other sites. The low WSS coincides with the high OSI, which approximately obeys a power law relationship. Furthermore, the scaling law between flow and diameter holds in the entire aorta and primary branches of mice under pulsatile blood flow conditions. This model will eventually serve to elucidate the causal relation between hemodynamic patterns and atherogenesis in KO mice.
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