Influence of vessel curvature and plaque composition on drug transport in the arterial wall following drug-eluting stent implantation

Escuer, J. ; Aznar, I. ; McCormick, C. ; Peña, E. (Universidad de Zaragoza) ; McGinty, S. ; Martínez, M.A. (Universidad de Zaragoza)

Resumen: In the last decade, many computational models have been developed to describe the transport of drug eluted from stents and the subsequent uptake into arterial tissue. Each of these models has its own set of limitations: for example, models typically employ simplified stent and arterial geometries, some models assume a homogeneous arterial wall, and others neglect the influence of blood flow and plasma filtration on the drug transport process. In this study, we focus on two common limitations. Specifically, we provide a comprehensive investigation of the influence of arterial curvature and plaque composition on drug transport in the arterial wall following drug-eluting stent implantation. The arterial wall is considered as a three-layered structure including the subendothelial space, the media and the adventitia, with porous membranes separating them (endothelium, internal and external elastic lamina). Blood flow is modelled by the Navier–Stokes equations, while Darcy’s law is used to calculate plasma filtration through the porous layers. Our findings demonstrate that arterial curvature and plaque composition have important influences on the spatiotemporal distribution of drug, with potential implications in terms of effectiveness of the treatment. Since the majority of computational models tend to neglect these features, these models are likely to be under- or over-estimating drug uptake and redistribution in arterial tissue.

Idioma: Inglés

DOI: 10.1007/s10237-020-01415-3

Año: 2021

Publicado en: BIOMECHANICS AND MODELING IN MECHANOBIOLOGY (2021), [20 pp]
ISSN: 1617-7959

Originalmente disponible en: Texto completo de la revista

Factor impacto JCR: 3.623 (2021)

Categ. JCR: BIOPHYSICS rank: 32 / 72 = 0.444 (2021) - Q2 - T2
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 55 / 98 = 0.561 (2021) - Q3 - T2

Factor impacto CITESCORE: 5.3 - Engineering (Q1) - Mathematics (Q1) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 0.761 - Mechanical Engineering (Q1) - Biotechnology (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T24-17R
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP121-18
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/CIBER
Financiación: info:eu-repo/grantAgreement/ES/MINECO/BES-2014-069737
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2016-76630-C2-1-R

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)