4.8 Article

Blood-brain barrier crossing using magnetic stimulated nanoparticles

期刊

JOURNAL OF CONTROLLED RELEASE
卷 345, 期 -, 页码 557-571

出版社

ELSEVIER
DOI: 10.1016/j.jconrel.2022.03.007

关键词

PBPK modeling; Magnetic nanoparticles; BBB crossing

资金

  1. United States National Science Foundation (NSF) [CMMI 1851635, ECCS 2021081]

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Due to the low permeability and high selectivity of the blood-brain barrier, traditional drug delivery to the brain is limited. Magnetic nanoparticles have shown potential for efficient blood-brain barrier crossing under a static magnetic field. In this study, a physiologically based pharmacokinetic model was developed to simulate the in vivo dynamics of superparamagnetic iron oxide nanoparticles in mice. The model was validated through in vivo experiments and showed good agreement with the results. This study is important for future research on non-invasive targeted drug delivery to the brain.
Due to the low permeability and high selectivity of the blood-brain barrier (BBB), existing brain therapeutic technologies are limited by the inefficient BBB crossing of conventional drugs. Magnetic nanoparticles (MNPs) have shown great potential as nano-carriers for efficient BBB crossing under the external static magnetic field (SMF). To quantify the impact of SMF on MNPs' in vivo dynamics towards BBB crossing, we developed a physiologically based pharmacokinetic (PBPK) model for intraperitoneal (IP) injected superparamagnetic iron oxide nanoparticles coated by gold and conjugated with poly (ethylene glycol) (PEG) (SPIO-Au-PEG NPs) in mice. Unlike most reported PBPK models that ignore brain permeability, we first obtained the brain permeabilities with and without SMF by determining the concentration of SPIO-Au-PEG NPs in the cerebral blood and brain tissue. This concentration in the brain was simulated by the advection-diffusion equations and was numerically solved in COMSOL Multiphysics. The results from the PBPK model after incorporating the brain permeability showed a good agreement (regression coefficient R2 = 0.848) with the in vivo results, verifying the capability of using the proposed PBPK model to predict the in vivo biodistribution of SPIO-Au-PEG NPs under the exposure to SMF. Furthermore, the in vivo results revealed that the distribution coefficient from blood to brain under the exposure to SMF (4.01%) is slightly better than the control group (3.68%). In addition, the modification of SPIO-Au-PEG NPs with insulin (SPIO-Au-PEG-insulin) showed an improvement of the brain bioavailability by 24.47% in comparison to the non-insulin group. With the SMF stimulation, the brain bioavailability of SPIO-Au-PEG-insulin was further improved by 3.91% compared to the group without SMF. The PBPK model and in vivo validation in this paper lay a solid foundation for future study on non-invasive targeted drug delivery to the brain.

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