The Computed Sinusoid

Livers Pub Date : 2023-11-11 DOI:10.3390/livers3040043
Matteo Boninsegna, Peter A. G. McCourt, Christopher Florian Holte
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Abstract

Hepatic sinusoids are lined with thin endothelial cells with transcellular pores, termed fenestrations. These fenestrations are open channels that connect the sinusoidal lumen to the underlying Space of Disse (SoD) and the hepatocytes of the liver parenchyma. Fenestrations range from 0.05 to 0.35 µm in diameter and cover 5–15% of the sinusoidal endothelial surface area, depending on their location along the sinusoids. The direct measurement of hemodynamic parameters, such as pressure and flow velocity, remains challenging within the narrow sinusoids. Such knowledge would increase our understanding of the physiology of the hepatic niche and possible implications in aging or diseases in which fenestrations are reduced or lost. Few simulations of liver blood flow focus on the level of the individual sinusoid, and fewer still include the transcellular pores (fenestrations) of the sinusoidal endothelium. Furthermore, none have included (i) a porosity gradient along the sinusoid wall, modeled using through-all pores rather than a porous medium, (ii) the presence of the SoD, or (iii) lymphatic drainage. Herein, computed fluid dynamics (CFD) simulations were performed using a numerical model with relevant anatomical characteristics (length, diameter, porosity, inlet/outlet pressure, and lymphatic outflow from the portal region of the SoD). The greatest contribution to luminal velocity magnitude and pressure was the overall shape of the vessel. Divergent-radius models yielded velocity magnitudes 1.5–2 times higher than constant-radius models, and pressures were 5–8% lower in the divergent-radius models compared to the constant-radius models. Porosity only modestly contributed to luminal pressure. The luminal velocity magnitude was largely unaffected by the presence or absence of lymphatic drainage. Velocity magnitudes through fenestrations were lower in higher-porosity models (20%) vs. lower-porosity models (5%) across all models (0.4–0.55-fold lower). Velocity magnitudes through the space of Disse were increased 3–4 times via the addition of lymphatic drainage to the models, while pressures were decreased by 6–12%. The flow velocity in the SoD was modified via differences in porosity, while the flow velocity in the lumens of the sinusoids was largely unaffected. The overall shape of the vessel is the single most important factor in the pressure flow behavior of the sinusoidal lumen. The flow rate over hepatocytes and the SoD is modestly affected by the distribution of porosity along the sinusoid and greatly affected by the lymphatic drainage, parameters that would be of interest for modeling the exchange of blood with the hepatic parenchyma.
计算正弦
肝窦内排列着薄的内皮细胞,有胞孔,称为开孔。这些开孔是连接窦状管腔与底层病变间隙(SoD)和肝实质的肝细胞的开放通道。孔径范围从0.05到0.35µm,覆盖5-15%的窦内皮表面积,这取决于它们沿窦的位置。直接测量血流动力学参数,如压力和流速,在狭窄的正弦波中仍然具有挑战性。这些知识将增加我们对肝生态位生理学的理解,并可能对衰老或开窗减少或丧失的疾病产生影响。很少有肝脏血流的模拟集中在单个窦的水平上,更少包括窦内皮的跨细胞孔(开窗)。此外,没有一个包括(i)沿着正弦波壁的孔隙度梯度,使用全孔而不是多孔介质建模,(ii) SoD的存在,或(iii)淋巴引流。本文采用具有相关解剖特征(SoD的长度、直径、孔隙度、进出口压力和门静脉区淋巴流出量)的数值模型进行计算流体动力学(CFD)模拟。对腔速大小和压力的最大贡献是容器的整体形状。发散半径模型的速度大小比恒定半径模型高1.5-2倍,压力比恒定半径模型低5-8%。孔隙度对腔压的影响不大。管速大小在很大程度上不受淋巴引流是否存在的影响。在所有模型中,高孔隙度模型(20%)比低孔隙度模型(5%)通过孔窗的速度量级更低(低0.4 - 0.55倍)。在模型中加入淋巴引流液后,通过疾病空间的速度大小增加了3-4倍,而压力降低了6-12%。超氧化物歧化酶的流速通过孔隙度的不同而改变,而正窦管腔的流速基本不受影响。血管的整体形状是影响正弦腔压力流动行为的最重要因素。肝细胞和超氧化物歧化酶的流速受窦状动脉孔隙分布的影响不大,而受淋巴引流的影响很大,这些参数对于模拟血液与肝实质的交换很有意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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