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Computer Simulation of Platelet Adhesion around Stent Struts in the Presence and Absence of Tissue Defects around Them

AIM: To predict platelet accumulation around stent struts in the presence or absence of tissue defects around them. METHODS: Computer simulations were performed using virtual platelets implementing the function of the three membrane proteins: glycoprotein (GP) Ibα, GPIIb/IIIa, and GPVI. These platel...

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Detalles Bibliográficos
Autores principales: Kawamura, Yota, Tamura, Noriko, Goto, Shinichi, Goto, Shinya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895599/
https://www.ncbi.nlm.nih.gov/pubmed/33628146
http://dx.doi.org/10.1155/2021/8880988
Descripción
Sumario:AIM: To predict platelet accumulation around stent struts in the presence or absence of tissue defects around them. METHODS: Computer simulations were performed using virtual platelets implementing the function of the three membrane proteins: glycoprotein (GP) Ibα, GPIIb/IIIa, and GPVI. These platelets were perfused around the stent struts implanted into the vessel wall in the presence or absence of tissue defects around them using within the simulation platform. The number of platelets that adhered around stent struts was calculated by solving the blood flow using Navier–Stokes equation along with the adhesion of membrane protein modeled within the platform. RESULTS: Platelet accumulation around stent struts occurred mostly at the downstream region of the stent strut array. The majority of platelets adhered at the downstream of the first bend regardless of the tissue defect status. Platelet adhesion around stent struts occurred more rapidly in the presence of tissue defects. CONCLUSION: Computer simulation using virtual platelets suggested a higher rate of platelet adhesion in the presence of tissue defects around stent struts.