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毛细血管密度的数学建模

Mathematical modeling of capillary density.

作者信息

Chen I I, Diana J N

出版信息

J Theor Biol. 1984 May 21;108(2):221-5. doi: 10.1016/s0022-5193(84)80068-5.

Abstract

Capillary density is important as a determinant for total oxygen transport to tissue. Because both capillary morphology and fiber composition vary considerably from muscle to muscle, measurement of capillary morphology and fiber composition vary considerably from muscle to muscle, measurement of capillary density alone cannot provide the detailed information necessary for analyzing physical phenomena. In this report we consider the capillary:fiber ratio, fiber types, fiber diameters, and fiber composition as components of a unit to express capillary density. We have applied the hexagonal fiber array model to calculate capillary density in cat and dog striated muscle and compared this with experimental data in the literature. The results indicate that this model may be useful for predicting capillary densities from simple biopsy procedures.

摘要

毛细血管密度作为决定组织总氧输送的因素很重要。由于不同肌肉的毛细血管形态和纤维组成差异很大,不同肌肉之间毛细血管形态和纤维组成的测量差异也很大,仅测量毛细血管密度无法提供分析物理现象所需的详细信息。在本报告中,我们将毛细血管与纤维的比例、纤维类型、纤维直径和纤维组成视为一个单位的组成部分来表示毛细血管密度。我们应用六边形纤维阵列模型来计算猫和狗横纹肌的毛细血管密度,并将其与文献中的实验数据进行比较。结果表明,该模型可能有助于通过简单的活检程序预测毛细血管密度。

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