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Development of a computational biomechanics model of the glomerulus to assess risk of mechanical stress-induced glomerular injury in conditions of reduced afferent arteriole vasoconstrictive response.

开发肾小球计算生物力学模型，以评估在传入小动脉血管收缩反应减少的情况下机械应力引起的肾小球损伤的风险。

基本信息

批准号：
9924241
负责人：
Owen Richfield
金额：
$ 2.95万
依托单位：
TULANE UNIVERSITY OF LOUISIANA
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-05-10 至 2021-06-29
项目状态：
已结题

项目摘要

Project Summary/Abstract A reduction in the vasoconstrictive responsiveness of the afferent arteriole relative to perfusion pressure is implicated in the progression of glomerular injury in diabetes, some forms of hypertension and chronic kidney diseases involving the loss of functional nephrons. A reduction of the vasoconstrictive responsiveness of the afferent arteriole raises afferent blood flow and intraglomerular pressure which is believed to increase mechanical stress (cyclic stretch and fluid flow shear stress) on the glomerular cells. In response to cyclic stretch, mesangial cells increase deposition of extracellular matrix (ECM) components and podocytes may detach from the glomerular capillary. In response to increased shear stress, vascular endothelial cells increase production of inflammatory markers. These results collectively indicate that a reduced vasoconstrictive responsiveness of the afferent arteriole relative to perfusion pressure causes injury of glomerular cells by increasing shear stress on and cyclic stretch of the glomerular capillary walls. Although mechanical stress- induced glomerular injury is a generally accepted concept in kidney disease research, the actual magnitudes of mechanical stress, in particular shear stress and hoop stress resulting from an attenuated afferent arteriole vasoconstrictive response, are unknown. The overall aim of this proposal is to use multiscale mathematical modeling to estimate the magnitudes of shear stress and capillary wall stretch in the glomerular capillary network as a result of decreased afferent arteriole vasoconstrictive responsiveness. We will develop a “glomerular network model” that calculates flows through the capillaries of an actual, anatomically-accurate glomerular microvascular network. A feedback model of afferent arteriole resistance will be integrated with the glomerular network model to represent the complex dynamics of renal autoregulation in our model. Additionally, we will develop a computational fluid dynamics (CFD) model of a single glomerular capillary, taking into account the dynamics arising from elastic red blood cell structures flowing in a permeable channel. Taking a multiscale mathematical modeling approach, for each capillary segment of the glomerular network model, output of the glomerular network model will be mapped to parameters in the CFD capillary model to calculate shear stresses on the vessel walls. The mechanical stresses calculated using this approach will be compared to experimental parameters of previous cell studies to determine the risk of glomerular cell injury with and without the pathological hemodynamic conditions arising from reduction in afferent arteriole vasoconstrictive responsiveness. This work will serve as a basis for a glomerular injury risk index in pathological renal hemodynamic conditions and will inform the design of “glomerulus-on-a-chip” microphysiological systems. Mechanical forces are known to crucially affect the efficacy of these systems as models of disease and as drug testing platforms; thus, the proposed project will contribute to development and establishment of these systems for these contexts of use.

项目总结/摘要相对于灌注压，传入小动脉的血管收缩反应性降低，与糖尿病、某些形式的高血压和慢性肾脏疾病中肾小球损伤的进展有关涉及功能性肾单位丧失的疾病。血管收缩反应性的降低，传入小动脉增加了传入血流量和肾小球内压，肾小球细胞上的机械应力（周期性拉伸和流体流动剪切应力）。响应循环牵张，肾小球系膜细胞增加细胞外基质（ECM）成分沉积，足细胞可能从肾小球毛细血管脱离。为了响应增加的剪切力，血管内皮细胞增加炎症标志物的产生。这些结果共同表明，血管收缩作用的减少传入小动脉相对于灌注压的反应性通过以下方式引起肾小球细胞的损伤：增加肾小球毛细血管壁的剪切应力和周期性伸展。尽管机械应力- 诱导的肾小球损伤是肾脏疾病研究中普遍接受的概念，机械应力，特别是由减弱的传入小动脉引起的剪切应力和环向应力血管收缩反应，未知。该提案的总体目标是使用多尺度数学建模以估计肾小球毛细血管中的剪切应力和毛细血管壁拉伸的大小由于传入小动脉血管收缩反应性降低，我们将开发一个 “肾小球网络模型”，计算通过实际的，解剖学上准确的毛细血管的流量，肾小球微血管网传入小动脉阻力的反馈模型将与肾小球网络模型来表示我们模型中肾脏自动调节的复杂动力学。此外，我们将开发一个单一肾小球毛细血管的计算流体动力学（CFD）模型，考虑到在可渗透通道中流动的弹性红细胞结构引起的动力学。采用多尺度数学建模方法，对于肾小球网络的每个毛细血管段，模型，肾小球网络模型的输出将映射到CFD毛细血管模型中的参数，计算血管壁上的剪切应力。使用这种方法计算的机械应力将是与先前细胞研究的实验参数相比，以确定肾小球细胞损伤的风险有或没有由传入小动脉减少引起的病理性血液动力学状况血管收缩反应性。这项工作将作为肾小球损伤风险指数的基础，病理性肾血流动力学状况，并将告知“芯片上肾小球”的设计微生理系统已知机械力对这些系统的功效有关键影响，疾病模型和药物测试平台;因此，拟议的项目将有助于发展和为这些使用环境建立这些系统。