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Numerical simulation of magnetic nano drug targeting to atherosclerosis: Effect of plaque morphology (stenosis degree and shoulder length).
Zhang, Xuelan; Luo, Mingyao; Wang, Erhui; Zheng, Liancun; Shu, Chang.
Affiliation
  • Zhang X; School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 10083, China; School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
  • Luo M; Department of Vascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
  • Wang E; School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 10083, China; School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
  • Zheng L; School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: liancunzheng@ustb.edu.cn.
  • Shu C; Department of Vascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China. Electronic address: changshu01@yahoo.com.
Comput Methods Programs Biomed ; 195: 105556, 2020 Oct.
Article in En | MEDLINE | ID: mdl-32505972
BACKGROUND AND OBJECTIVE: Nanoparticle-mediated targeted drug delivery is a promising option for treatment of atherosclerosis. However, the drug targeting may be affected by multiple factors. Considerable attentions have been focused on the influences of external factors, e.g., magnetic field, drug-loaded particle, but internal factors, e.g., plaque morphology (stenosis degree and shoulder length), have not received any attention yet. Therefore, we investigate the impact of plaque morphology on magnetic nanoparticles targeting under the action of an external field. METHOD: Numerical simulation, based on Eulerian-Lagrangian coupled Fluid-Solid Interaction, is performed in ANSYS Workbench platform. Blood flow is solved by Navier-Stokes equation, particles are tracked by discrete phase model, and the incorporated effect is obtained by two-way method. Plaques with varying stenosis degrees and shoulder lengths are acquired by manually modifying the geometry of patient-specific. The quantified variables include targeted delivery efficiency (deposition+adhesive strength) of particles and plaque injury characterized by temporal-spatial averaged shear stress (TAWSS¯) during the process of drug transport, in which the critical deposition velocity is determined by plaques and particles, the DEFINE_DPM_BC and User Defined Memory are employed to evaluate whether the particles are deposited, and to store the total number and the adhesive strength of particles deposited on the plaque. RESULTS: Results signify that, with an increment of plaque stenosis degree, the deposition of particle and the adhesive strength between particle and plaque decrease, while the TAWSS¯ increases. Furthermore, for the same stenosis degree, with the increase of plaque shoulder length, the deposition and the adhesive strength of particle increase, and the TAWSS¯ decreases. CONCLUSIONS: Results demonstrates that the plaque with smaller stenosis degree or longer shoulder length may achieve a better treatment effect in view of the higher targeted delivery efficiency of particles and the lighter shear damage to plaque itself during the process of drug transport.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Shoulder / Atherosclerosis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Comput Methods Programs Biomed Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: Ireland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Shoulder / Atherosclerosis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Comput Methods Programs Biomed Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: Ireland