ArticlePhysiological reports2019
Three-dimensional distribution of wall shear stress and its gradient in red cell-resolved computational modeling of blood flow in in vivo-like microvascular networks.
Article in Physiological reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 43 citations in OpenAlex.
- Predicting red blood cell transport and capillary hemodynamics in angiogenic and tumor vascular networks in silico.Biophysical journal · 2025Article
- A High-Fidelity Computational Model for Predicting Blood Cell Trafficking and 3D Capillary Hemodynamics in Retinal Microvascular Networks.Investigative ophthalmology & visual science · 2024Article
- Hemodynamic Characteristics of a Tortuous Microvessel Using High-Fidelity Red Blood Cell Resolved Simulations.Microcirculation (New York, N.Y. : 1994) · 2024Article
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- Computational analysis of cancer cell adhesion in curved vessels affected by wall shear stress for prediction of metastatic spreading.Frontiers in bioengineering and biotechnology · 2024Article
- A cell-and-plasma numerical model reveals hemodynamic stress and flow adaptation in zebrafish microvessels after morphological alteration.PLoS computational biology · 2023Article
- Marginated aberrant red blood cells induce pathologic vascular stress fluctuations in a computational model of hematologic disorders.Science advances · 2023Article
- Endothelial cell SMAD6 balances Alk1 function to regulate adherens junctions and hepatic vascular development.Development (Cambridge, England) · 2023Article
- The role of leptomeningeal collaterals in redistributing blood flow during stroke.PLoS computational biology · 2023Article
- A three-dimensional method for morphological analysis and flow velocity estimation in microvasculature on-a-chip.Bioengineering & translational medicine · 2023Article
- Endothelial Cell SMAD6 Balances ACVRL1/Alk1 Function to Regulate Adherens Junctions and Hepatic Vascular Development.bioRxiv : the preprint server for biology · 2023Article
- Angiogenic Microvascular Wall Shear Stress Patterns Revealed Through Three-dimensional Red Blood Cell Resolved Modeling.Function (Oxford, England) · 2023Article
- Near-wall hemodynamic changes in subclavian artery perfusion induced by retrograde inner branched thoracic endograft implantation.JVS-vascular science · 2023Article
- Quantitative relationship between cerebrovascular network and neuronal cell types in mice.Cell reports · 2022Article
- Advances in studying whole mouse brain vasculature using high-resolution 3D light microscopy imaging.Neurophotonics · 2022Review
- A computational study of red blood cell deformability effect on hemodynamic alteration in capillary vessel networks.Scientific reports · 2022Article
- Predicting pathological von Willebrand factor unraveling in elongational flow.Biophysical journal · 2021Article
- Endothelial cell polarization and orientation to flow in a novel microfluidic multimodal shear stress generator.Lab on a chip · 2020Article
- Three-dimensional distribution of wall shear stress and its gradient in red cell-resolved computational modeling of blood flow in in vivo-like microvascular networks.Physiological reports · 2019Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using a high-fidelity, 3D computational model of blood flow in microvascular networks, we provide the full 3D distribution of wall shear stress (WSS), and its gradient (WSSG), and quantify the influence of red blood cells (RBCs) on WSS and WSSG. The deformation and flow dynamics of the individual RBCs are accurately resolved in the model, while physiologically realistic microvascular networks comprised of multiple bifurcations, convergences, and tortuous vessels are considered. A strong heterogeneity in WSS and WSSG is predicted across the networks, with the highest WSS occurring in precapillary bifurcations and capillary vessels. 3D variations of WSS and WSSG are shown to occur due to both network morphology and the influence of RBCs. The RBCs increase the WSS by as much as three times compared to that when no RBCs are present, and the highest increase is observed in venules. WSSG also increases significantly, and high WSSGs occur over wider regions in the presence of RBCs. In most vessels, the circumferential component of WSSG is observed to be greater than the axial component in the presence of RBCs, while the opposite trend is observed when RBCs are not considered. These results underscore the important role of RBCs on WSS and WSSG that cannot be predicted by widely used 1D models of network blood flow. Furthermore, the subendothelium-scale variations of WSS and WSSG predicted by the present model have implications in terms of endothelial cell functions in the microvasculature.
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