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Studies on Aggregated Nanoparticles Steering during Deep Brain Membrane Crossing

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Abstract
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.
Author(s)
Hoshiar, Ali KafashJavan, Shahriar DadrasTuan-Anh LeYazdi, Mohammad Reza HairiYoon, Jungwon
Issued Date
2021-10
Type
Article
DOI
10.3390/nano11102754
URI
https://scholar.gist.ac.kr/handle/local/11253
Publisher
MDPI
Citation
NANOMATERIALS, v.11, no.10
ISSN
2079-4991
Appears in Collections:
Department of AI Convergence > 1. Journal Articles
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