肾动脉网络及其相互作用对急性高血压的反应:模拟。

IF 5.1 Q2 CELL BIOLOGY
Donald J Marsh, Niels-Henrik Holstein-Rathlou
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引用次数: 0

摘要

我们模拟了一组由 10 个肾小球组成的动脉网络在血压急剧升高时的动态变化。动脉长度和拓扑结构基于血管铸模的测量结果。该模型是在单一血压下运行的前一版本的基础上增加了两个功能:压力利尿和血压对传出动脉血管阻力的影响。新版本模拟了自动调节,并再现了肾小管压力振荡。单个肾小球的动态取决于平均动脉压和动脉血流所需的轴压梯度。有节奏地将血液抽入传入动脉血管会引起下游血管的血流波动。肾小球动力学中与血压相关的变化影响了同步指标。血管压力梯度和振荡的结合在 10 个传入动脉血管的起源处产生了一系列动脉压力。由于有意识动物的动脉血压具有 1/f 动态变化,因此我们在模型中应用了具有这种动态变化的动脉压力模式。肾小管压力振荡的振幅受到 1/f 血压波动的影响,但振荡频率没有变化。将血液输送到所有传入动脉血管所需的压力梯度带来了复杂性,根据肾小管在网络中的位置对其产生影响,但其他相互作用起到了补偿作用,确保了系统的稳定性。肾小球的反应对网络中位置的敏感性以及肾小管振荡频率的恒定性提供了一个空间和时间背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Response of the nephron arterial network and its interactions to acute hypertension: a simulation.

We simulated the dynamics of a group of 10 nephrons supplied from an arterial network and subjected to acute increases in blood pressure. Arterial lengths and topology were based on measurements of a vascular cast. The model builds on a previous version exercised at a single blood pressure with 2 additional features: pressure diuresis and the effect of blood pressure on efferent arteriolar vascular resistance. The new version simulates autoregulation, and reproduces tubule pressure oscillations. Individual nephron dynamics depended on mean arterial pressure and the axial pressure gradient required to cause blood flow through the arteries. Rhythmic blood withdrawal into afferent arterioles caused blood flow fluctuations in downstream vessels. Blood pressure dependent changes in nephron dynamics affected synchronization metrics. The combination of vascular pressure gradients and oscillations created a range of arterial pressures at the origins of the 10 afferent arterioles. Because arterial blood pressure in conscious animals has 1/f dynamics, we applied an arterial pressure pattern with such dynamics to the model. Amplitude of tubule pressure oscillations were affected by the 1/f blood pressure fluctuations, but the oscillation frequencies did not change. The pressure gradients required to deliver blood to all afferent arterioles impose a complexity that affects nephrons according to their locations in the network, but other interactions compensate to ensure the stability of the system. The sensitivity of nephron response to location on the network, and the constancy of the tubular oscillation frequency provide a spatial and time context.

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来源期刊
CiteScore
5.70
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