Personalized dynamic transport of magnetic nanorobots inside the brain vasculature
Personalized dynamic transport of magnetic nanorobots inside the brain vasculature
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DOI：
10.1088/1361-6528/abb392
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发表时间：
2020-12-04
期刊：
影响因子：
3.5
通讯作者：
Wang, Ya
中科院分区：
文献类型：
--
作者：
Chen, Jingfan;Wang, Ya
通过血脑屏障将具有足够生物利用度的特定生物活性物质输送到目标脑区仍然是一个巨大的挑战。磁力驱动的纳米机器人已经展示了它们在可控药物输送方面的潜力。然而，这些纳米机器人在每个人的脑血管系统中的动态运输还没有得到很好的研究。解决这一问题是朝着非侵入性脑疗法的受控药物输送迈出的关键一步。在这篇文章中，我们开发了一个分析模型，描述了球形磁性纳米机器人在根据患者血管造影图像重建的脑血管内的个性化动态运输。通过反转输送过程，我们首先根据重建的血管模型设计患者特定的输送路径，然后根据解析模型计算驱动这些纳米机器人所需的磁力。此外，还建立了有限元模型来模拟逆向设计过程，这意味着这些磁力驱动的纳米机器人到目标脑区的输送效率可以提高20%，几乎95%的纳米机器人到达期望的血管壁。最后，使用PolyJet 3D 750打印了一个简化的脑血管模型，以演示这些纳米机器人向目标位置的动态运输。所提出的理论建模、数值模拟和实验验证为实现最高精度和最小副作用的非侵入性脑治疗奠定了坚实的基础。
Delivering specific bioactive agents with sufficient bioavailability to the targeted brain area across blood brain barrier remains a big challenge. Magnetically driven nanorobots have demonstrated their potential for controlled drug delivery. However, the dynamic transport of these nanorobots inside each individual's brain vasculature is not yet well studied. Addressing this is a critical step forward to controlled drug delivery for non-invasive brain therapeutics. In this paper, we develop an analytical model describing the personalized dynamic transport of spherical magnetic nanorobots inside the brain vasculature reconstructed from the patient's angiography images. By inverting the transporting process, we first design the patient-specific transport path based on the reconstructed vascular model, and then calculate the magnetic force required to drive these nanorobots from the analytical model. Also, a finite element model is created to simulate the inverse design process, which implies that the delivery efficiency of these magnetically driven nanorobots to the targeted brain area can be increased by 20% and almost 95% nanorobots arrive at the desired vessel walls. In the end, a simplified brain vascular model is printed using PolyJet 3D 750 to demonstrate the dynamic transport of these nanorobots toward the targeted site. The proposed theoretical modeling, numerical simulation and experimental validation lay solid foundation toward non-invasive brain therapeutics with maximal accuracy and minimal side effects.