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微流控装置中的边界波作为壁内动脉周围引流的模型。

Boundary waves in a microfluidic device as a model for intramural periarterial drainage.

作者信息

Coloma Mikhail, Schaffer J David, Huang Peter, Chiarot Paul R

机构信息

Department of Mechanical Engineering, State University of New York at Binghamton, Binghamton, New York 13902, USA.

Institute for Justice and Well-Being, State University of New York at Binghamton, Binghamton, New York 13902, USA.

出版信息

Biomicrofluidics. 2019 Mar 8;13(2):024103. doi: 10.1063/1.5080446. eCollection 2019 Mar.

Abstract

The failure to clear amyloid-Beta from an aging brain leads to its accumulation within the walls of arteries and potentially to Alzheimer's disease. However, the clearance mechanism through the intramural periarterial pathway is not well understood. We previously proposed a hydrodynamic reverse transport model for the cerebral arterial basement membrane pathway. In our model, solute transport results from fluidic forcing driven by the superposition of forward and reverse propagating boundary waves. The aim of this study is to experimentally validate this hydrodynamic reverse transport mechanism in a microfluidic device where reverse transport in a rectangular conduit is driven by applying waveforms along its boundaries. Our results support our theory that while the superimposed boundary waves propagate in the forward direction, a reverse flow in the rectangular conduit can be induced by boundary wave reflections. We quantified the fluid transport velocity and direction under various boundary conditions and analyzed numerical simulations that support our experimental findings. We identified a set of boundary wave parameters that achieved reverse transport, which could be responsible for intramural periarterial drainage of cerebral metabolic waste.

摘要

衰老大脑中β淀粉样蛋白清除失败会导致其在动脉壁内积聚,并可能引发阿尔茨海默病。然而,通过壁内动脉周围途径的清除机制尚未得到充分理解。我们之前提出了一种针对脑动脉基底膜途径的流体动力学逆向运输模型。在我们的模型中,溶质运输是由正向和反向传播的边界波叠加驱动的流体强迫作用导致的。本研究的目的是在微流控装置中通过实验验证这种流体动力学逆向运输机制,在该装置中,矩形管道内的逆向运输是通过沿其边界施加波形来驱动的。我们的结果支持了我们的理论,即虽然叠加的边界波向前传播,但边界波反射可在矩形管道中诱导出逆向流动。我们量化了各种边界条件下的流体运输速度和方向,并分析了支持我们实验结果的数值模拟。我们确定了一组实现逆向运输的边界波参数,这些参数可能负责脑代谢废物的壁内动脉周围引流。

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