Nanoparticle transport and delivery in a heterogeneous pulmonary vasculature.
Nanoparticle transport and delivery in a heterogeneous pulmonary vasculature.
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DOI：
10.1016/j.jbiomech.2016.11.023
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发表时间：
2017-01-04
影响因子：
2.4
通讯作者：
Liu Y
中科院分区：
文献类型：
--
作者：
Sohrabi S;Wang S;Tan J;Xu J;Yang J;Liu Y
定量了解纳米颗粒在复杂血管网络中的传递是非常具有挑战性的，因为它涉及到运输、水动力和跨不同尺度的多价相互作用的相互作用。异质性肺网络在其动脉树中包括多达16代的血管。完整的肺血管系统三维建模在计算上是不现实的。为了节省计算成本，将MRI扫描图像重构的模型切割成由上4代组成的任意路径。剩下的几代由人工重建的路径代表。利用分支信息和连通性矩阵等生理数据进行几何重构。采用集总模型对截断通路上被切断分支的流动阻力进行建模。此外，由于纳米粒子的结合过程是随机的，因此采用结合概率函数来简化载流子的附着和脱离过程。采用拼接的真实几何和人工几何加上未解析出口处的集总模型来解析截断动脉树内的流场。然后，研究了200nm、700nm和2μm颗粒在不同容器代中的生物分布。最后，预测药物载体在一次通过肺血管树的过程中沉积0.2 ~ 0.5%的纳米载体。我们的截断方法使我们能够有效地模拟复杂3D脉管系统中的血流动力学和相应的颗粒分布，为研究器官水平的药物输送提供了一种简单而有效的预测工具。
Quantitative understanding of nanoparticles delivery in a complex vascular networks is very challenging because it involves interplay of transport, hydrodynamic force, and multivalent interactions across different scales. Heterogeneous pulmonary network includes up to 16 generations of vessels in its arterial tree. Modeling the complete pulmonary vascular system in 3D is computationally unrealistic. To save computational cost, a model reconstructed from MRI scanned images is cut into an arbitrary pathway consisting of the upper 4-generations. The remaining generations are represented by an artificially rebuilt pathway. Physiological data such as branch information and connectivity matrix are used for geometry reconstruction. A lumped model is used to model the flow resistance of the branches that are cut off from the truncated pathway. Moreover, since the nanoparticle binding process is stochastic in nature, a binding probability function is used to simplify the carrier attachment and detachment processes. The stitched realistic and artificial geometries coupled with the lumped model at the unresolved outlets are used to resolve the flow field within the truncated arterial tree. Then, the biodistribution of 200nm, 700nm and 2μm particles at different vessel generations is studied. At the end, 0.2 to 0.5% nanocarrier deposition is predicted during one time passage of drug carriers through pulmonary vascular tree. Our truncated approach enabled us to ef ciently model hemodynamics and accordingly particle distribution in a complex 3D vasculature providing a simple, yet efficient predictive tool to study drug delivery at organ level.
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