论文标题

淋巴结链的流体结构相互作用模型中的泵功效

Pump efficacy in a fluid-structure interaction model of a chain of contracting lymphangions

论文作者

Elich, Hallie, Barrett, Aaron, Shankar, Varun, Fogelson, Aaron L.

论文摘要

淋巴在淋巴脉管系统中的运输是将过量间隙液归还到循环系统的机制,对于液体稳态至关重要。收集淋巴血管包含淋巴管的很大一部分,并将瓣膜分为收缩片段,称为淋巴管。尽管它很重要,但在收集血管中的淋巴运输尚不清楚。我们提出了一个计算模型,以研究淋巴流穿过瓣膜淋巴结的链条。我们使用Navier-Stokes方程对流体流量和浸入边界方法进行建模,以处理2D,非轴对称模拟中的双向流体结构相互作用。我们使用模型来评估链长,收缩样式和不良轴向压差(AAPD)对循环均值流速(CMFRS)的影响。在模型中,较长的淋巴管链通常产生更大的CMFR,并且它们在AAPDS更高的AAPD上无法产生阳性CMFR,而不是较短的链。同时收缩的泵几乎在每个AAPD和每个链长上产生最大的CMFR。由于收缩时机和阀门动力学,非同时泵的CMFR比同时的泵产生的CMFR较低。随着AAPD的增加,差异会减少。阀门动力学随收缩风格和表现出滞后的开口和闭合行为而变化。我们的模型提供了有关收缩传播如何影响流速和通过淋巴结链传输的洞察力。

The transport of lymph through the lymphatic vasculature is the mechanism for returning excess interstitial fluid to the circulatory system, and it is essential for fluid homeostasis. Collecting lymphatic vessels comprise a significant portion of the lymphatic vasculature and are divided by valves into contractile segments known as lymphangions. Despite its importance, lymphatic transport in collecting vessels is not well understood. We present a computational model to study lymph flow through chains of valved, contracting lymphangions. We used the Navier-Stokes equations to model the fluid flow and the immersed boundary method to handle the two-way, fluid-structure interaction in 2D, non-axisymmetric simulations. We used our model to evaluate the effects of chain length, contraction style, and adverse axial pressure difference (AAPD) on cycle-mean flow rates (CMFRs). In the model, longer lymphangion chains generally yield larger CMFRs, and they fail to generate positive CMFRs at higher AAPDs than shorter chains. Simultaneously contracting pumps generate the largest CMFRs at nearly every AAPD and for every chain length. Due to the contraction timing and valve dynamics, non-simultaneous pumps generate lower CMFRs than the simultaneous pumps; the discrepancy diminishes as the AAPD increases. Valve dynamics vary with the contraction style and exhibit hysteretic opening and closing behaviors. Our model provides insight into how contraction propagation affects flow rates and transport through a lymphangion chain.

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