HETEROGENEITY OF OXYGEN TRANSPORT IN MUSCLE

肌肉中氧输送的异质性

• 批准号: 2519239
• 负责人: Daniel Goldman
• 金额: $ 3.12万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/2519239
• 关键词: blood circulation; capillary; computer simulation; hemodynamics; mathematical model; microcirculation; model design /development; oxygen transport; striated muscles

Capillary networks are the principal sites at which oxygen is transported from red blood cells (RBC) to muscle and other tissues. In skeletal muscle, capillaries have often been modeled as collections of parallel vessels, all containing the same concentration of oxygen. However, in reality there exist complexities in network geometry which affect both diffusive and convective transport and lead to heterogeneity in the supply of oxygen. In addition, the characteristics of blood flow and oxygen transport heterogeneities are different at rest and during exercise. Currently, it is not known what type of oxygen supply heterogeneities are produced by realistic network architecture and RBC distribution. In this work, the large amount of experimental data available on capillary network geometry and hemodynamics is used to study realistic capillary networks in skeletal muscle, in order to determine the physiological significance of complexities in network architecture. A geometric model is constructed and blood flow and oxygen transport are simulated, using adaptations of existing models, for conditions of rest and exercise. The simulation data is then studied using both traditional statistical methods and recently developed mathematical techniques for analyzing spatiotemporal complexity.

毛细管网络是运输氧气的主要部位 从红细胞（RBC）到肌肉和其他组织。在骨骼中 肌肉，毛细血管通常被建模为平行的集合 容器，均包含相同浓度的氧气。但是，在 现实中存在网络几何形状的复杂性，这两者都会影响 扩散和对流的运输，并导致异质性 氧气的供应。另外，血流的特征和 氧运输异质性在休息和期间不同 锻炼。目前，尚不知道哪种类型的氧气供应 异质性是由现实的网络体系结构和RBC产生的 分配。在这项工作中，大量的实验数据 在毛细管网络几何形状和血液动力学上可用来研究 骨骼肌中现实的毛细血管网络，以确定 网络体系结构复杂性的生理意义。 构建了几何模型，血流和氧运输是 使用现有模型的改编模拟休息条件 和运动。然后使用两个传统的模拟数据研究 统计方法并最近开发了数学技术 分析时空复杂性。