Understanding the fl uid mechanics behind transverse wall shear stress of Biomechanics

The patchy distribution of atherosclerosis within arteries is widely attributed to local variation in hae- modynamic wall shear stress (WSS). A recently-introduced metric, the transverse wall shear stress (transWSS), which is the average over the cardiac cycle of WSS components perpendicular to the tem- poral mean WSS vector, correlates particularly well with the pattern of lesions around aortic branch ostia. Here we use numerical methods to investigate the nature of the arterial fl ows captured by transWSS and the sensitivity of transWSS to in fl ow waveform and aortic geometry. TransWSS developed chie fl y in the acceleration, peak systolic and deceleration phases of the cardiac cycle; the reverse fl ow phase was too short, and WSS in diastole was too low, for these periods to have a signi fi cant in fl uence. Most of the spatial variation in transWSS arose from variation in the angle by which instantaneous WSS vectors deviated from the mean WSS vector rather than from variation in the magnitude of the vectors. The pattern of transWSS was insensitive to in fl ow waveform; only unphysiologically high Womersley numbers produced substantial changes. However, transWSS was sensitive to changes in geometry. The curvature of the arch and proximal descending aorta were responsible for the principal features, the non- planar nature of the aorta produced asymmetries in the location and position of streaks of high transWSS, and taper determined the persistence of the streaks down the aorta. These results re fl ect the importance of the fl uctuating strength of Dean vortices in generating transWSS. per-sistent fl ow disturbances accelerates atherogenesis and promotes thin cap

[1]  D. Gallo,et al.  Insights into the co-localization of magnitude-based versus direction-based indicators of disturbed shear at the carotid bifurcation. , 2016, Journal of biomechanics.

[2]  S. Shadden,et al.  Characterizations and Correlations of Wall Shear Stress in Aneurysmal Flow. , 2016, Journal of biomechanical engineering.

[3]  B. Ene-Iordache,et al.  Transitional Flow in the Venous Side of Patient-Specific Arteriovenous Fistulae for Hemodialysis , 2015, Annals of Biomedical Engineering.

[4]  G. Dubini,et al.  Disturbed flow in a patient-specific arteriovenous fistula for hemodialysis: Multidirectional and reciprocating near-wall flow patterns. , 2015, Journal of biomechanics.

[5]  Anouk L. Post,et al.  Inducing Persistent Flow Disturbances Accelerates Atherogenesis and Promotes Thin Cap Fibroatheroma Development in D374Y-PCSK9 Hypercholesterolemic Minipigs , 2015, Circulation.

[6]  Robert Michael Kirby,et al.  Nektar++: An open-source spectral/hp element framework , 2015, Comput. Phys. Commun..

[7]  D. Gallo,et al.  A rational approach to defining principal axes of multidirectional wall shear stress in realistic vascular geometries, with application to the study of the influence of helical flow on wall shear stress directionality in aorta. , 2015, Journal of biomechanics.

[8]  Change of Direction in the Biomechanics of Atherosclerosis , 2014, Annals of Biomedical Engineering.

[9]  S. Sherwin,et al.  Computation in the rabbit aorta of a new metric – the transverse wall shear stress – to quantify the multidirectional character of disturbed blood flow☆ , 2013, Journal of biomechanics.

[10]  Brendon M. Baker,et al.  Endothelial Cell Sensing of Flow Direction , 2013, Arteriosclerosis, thrombosis, and vascular biology.

[11]  S. Sherwin,et al.  Does low and oscillatory wall shear stress correlate spatially with early atherosclerosis? A systematic review , 2013, Cardiovascular research.

[12]  S. Sherwin,et al.  Effect of aortic taper on patterns of blood flow and wall shear stress in rabbits: association with age. , 2012, Atherosclerosis.

[13]  J. Peiró,et al.  Modelling pulse wave propagation in the rabbit systemic circulation to assess the effects of altered nitric oxide synthesis. , 2009, Journal of biomechanics.

[14]  S. Sherwin,et al.  Geometry and flow , 2009 .

[15]  S. Sherwin,et al.  The spectral/hp element modelling of steady flow in non‐planar double bends , 2008 .

[16]  W. Orrison,et al.  Whole-spine dynamic magnetic resonance study of contortionists: anatomy and pathology. , 2008, Journal of neurosurgery. Spine.

[17]  S. Chien Mechanotransduction and endothelial cell homeostasis: the wisdom of the cell. , 2007, American journal of physiology. Heart and circulatory physiology.

[18]  C. Karmonik,et al.  Hemodynamics in a cerebral artery before and after the formation of an aneurysm. , 2006, AJNR. American journal of neuroradiology.

[19]  D. Steinman,et al.  On the relative importance of rheology for image-based CFD models of the carotid bifurcation , 2006 .

[20]  G. Karniadakis,et al.  Spectral/hp Element Methods for Computational Fluid Dynamics , 2005 .

[21]  T. Kenner,et al.  The continuous high-precision measurement of the density of flowing blood , 1977, Pflügers Archiv.

[22]  L. Antiga,et al.  Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography , 2003, IEEE Transactions on Medical Imaging.

[23]  U. Windberger,et al.  Whole Blood Viscosity, Plasma Viscosity and Erythrocyte Aggregation in Nine Mammalian Species: Reference Values and Comparison of Data , 2003, Experimental physiology.

[24]  S. Sherwin,et al.  The influence of out-of-plane geometry on the flow within a distal end-to-side anastomosis. , 2000, Journal of biomechanical engineering.

[25]  G. Sloop,et al.  A description of two morphologic patterns of aortic fatty streaks, and a hypothesis of their pathogenesis. , 1998, Atherosclerosis.

[26]  L. Zabielski,et al.  Steady flow in a helically symmetric pipe , 1998, Journal of Fluid Mechanics.

[27]  R. Marini,et al.  Measurement of flow rates through aortic branches in the anesthetized rabbit. , 1997, Laboratory animal science.

[28]  K. T. Scott,et al.  Non-planar curvature and branching of arteries and non-planar-type flow , 1996, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[29]  K. Perktold,et al.  Computer simulation of local blood flow and vessel mechanics in a compliant carotid artery bifurcation model. , 1995, Journal of biomechanics.

[30]  P. Moin,et al.  Eddies, streams, and convergence zones in turbulent flows , 1988 .

[31]  D. Ku,et al.  Pulsatile Flow and Atherosclerosis in the Human Carotid Bifurcation: Positive Correlation between Plaque Location and Low and Oscillating Shear Stress , 1985, Arteriosclerosis.

[32]  S. Orszag,et al.  Approximation of radiation boundary conditions , 1981 .

[33]  R. Schroter,et al.  Atheroma and arterial wall shear - Observation, correlation and proposal of a shear dependent mass transfer mechanism for atherogenesis , 1971, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[34]  C. D. Murray THE PHYSIOLOGICAL PRINCIPLE OF MINIMUM WORK APPLIED TO THE ANGLE OF BRANCHING OF ARTERIES , 1926, The Journal of general physiology.