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Studies on Aggregated Nanoparticles Steering during Deep Brain Membrane Crossing

Kafash Hoshiar, Ali and Dadras Javan, Shahriar and Le, Tuan-Anh and Hairi Yazdi, Mohammad Reza and Yoon, Jungwon (2021) 'Studies on Aggregated Nanoparticles Steering during Deep Brain Membrane Crossing.' Nanomaterials, 11 (10). p. 2754. ISSN 2079-4991

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Many central nervous system (CNS) diseases, such as Alzheimer’s disease (AD), affect the deep brain region, which hinders their effective treatment. The hippocampus, a deep brain area critical for learning and memory, is especially vulnerable to damage during early stages of AD. Magnetic drug targeting has shown high potential in delivering drugs to a targeted disease site effectively by applying a strong electromagnetic force. This study illustrates a nanotechnology-based scheme for delivering magnetic nanoparticles (MNP) to the deep brain region. First, we developed a mathematical model and a molecular dynamic simulation to analyze membrane crossing, and to study the effects of particle size, aggregation, and crossing velocities. Then, using in vitro experiments, we studied effective parameters in aggregation. We have also studied the process and environmental parameters. We have demonstrated that aggregation size can be controlled when particles are subjected to external electromagnetic fields. Our simulations and experimental studies can be used for capturing MNPs in brain, the transport of particles across the intact BBB and deep region targeting. These results are in line with previous in vivo studies and establish an effective strategy for deep brain region targeting with drug loaded MNPs through the application of an external electromagnetic field.

Item Type: Article
Uncontrolled Keywords: Alzheimer’s disease; hippocampus; magnetic nanoparticles; electromagnetic actuation; swarm steering; nanorobotics
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 23 Nov 2021 13:53
Last Modified: 23 Sep 2022 19:48

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