Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation

Abstract Disturbed blood flow has been increasingly recognized for its critical role in platelet aggregation and thrombosis. Microfluidics with hump shaped contractions have been developed to mimic microvascular stenosis and recapitulate the prothrombotic effect of flow disturbance. However the phys...

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Autores principales:	Yunduo Charles Zhao, Parham Vatankhah, Tiffany Goh, Rhys Michelis, Kiarash Kyanian, Yingqi Zhang, Zhiyong Li, Lining Arnold Ju
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/144cd1e9419546d2a28ebc8a1d1c5e99
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spelling	oai:doaj.org-article:144cd1e9419546d2a28ebc8a1d1c5e992021-12-02T13:24:14ZHemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation10.1038/s41598-021-86310-22045-2322https://doaj.org/article/144cd1e9419546d2a28ebc8a1d1c5e992021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86310-2https://doaj.org/toc/2045-2322Abstract Disturbed blood flow has been increasingly recognized for its critical role in platelet aggregation and thrombosis. Microfluidics with hump shaped contractions have been developed to mimic microvascular stenosis and recapitulate the prothrombotic effect of flow disturbance. However the physical determinants of microfluidic hemodynamics are not completely defined. Here, we report a refined computational fluid dynamics (CFD) simulation approach to map the shear rate (γ) and wall shear stress (τ) distribution in the stenotic region at high accuracy. Using ultra-fine meshing with sensitivity verification, our CFD results show that the stenosis level (S) is dominant over the bulk shear rate (γ 0) and contraction angle (α) in determining γ and τ distribution at stenosis. In contrast, α plays a significant role in governing the shear rate gradient (γ ′) distribution while it exhibits subtle effects on the peak γ. To investigate the viscosity effect, we employ a Generalized Power-Law model to simulate blood flow as a non-Newtonian fluid, showing negligible difference in the γ distribution when compared with Newtonian simulation with water medium. Together, our refined CFD method represents a comprehensive approach to examine microfluidic hemodynamics in three dimensions and guide microfabrication designs. Combining this with hematological experiments promises to advance understandings of the rheological effect in thrombosis and platelet mechanobiology.Yunduo Charles ZhaoParham VatankhahTiffany GohRhys MichelisKiarash KyanianYingqi ZhangZhiyong LiLining Arnold JuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yunduo Charles Zhao Parham Vatankhah Tiffany Goh Rhys Michelis Kiarash Kyanian Yingqi Zhang Zhiyong Li Lining Arnold Ju Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
description	Abstract Disturbed blood flow has been increasingly recognized for its critical role in platelet aggregation and thrombosis. Microfluidics with hump shaped contractions have been developed to mimic microvascular stenosis and recapitulate the prothrombotic effect of flow disturbance. However the physical determinants of microfluidic hemodynamics are not completely defined. Here, we report a refined computational fluid dynamics (CFD) simulation approach to map the shear rate (γ) and wall shear stress (τ) distribution in the stenotic region at high accuracy. Using ultra-fine meshing with sensitivity verification, our CFD results show that the stenosis level (S) is dominant over the bulk shear rate (γ 0) and contraction angle (α) in determining γ and τ distribution at stenosis. In contrast, α plays a significant role in governing the shear rate gradient (γ ′) distribution while it exhibits subtle effects on the peak γ. To investigate the viscosity effect, we employ a Generalized Power-Law model to simulate blood flow as a non-Newtonian fluid, showing negligible difference in the γ distribution when compared with Newtonian simulation with water medium. Together, our refined CFD method represents a comprehensive approach to examine microfluidic hemodynamics in three dimensions and guide microfabrication designs. Combining this with hematological experiments promises to advance understandings of the rheological effect in thrombosis and platelet mechanobiology.
format	article
author	Yunduo Charles Zhao Parham Vatankhah Tiffany Goh Rhys Michelis Kiarash Kyanian Yingqi Zhang Zhiyong Li Lining Arnold Ju
author_facet	Yunduo Charles Zhao Parham Vatankhah Tiffany Goh Rhys Michelis Kiarash Kyanian Yingqi Zhang Zhiyong Li Lining Arnold Ju
author_sort	Yunduo Charles Zhao
title	Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
title_short	Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
title_full	Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
title_fullStr	Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
title_full_unstemmed	Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
title_sort	hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/144cd1e9419546d2a28ebc8a1d1c5e99
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_version_	1718393077399289856

Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation

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