肌肉组织中与氧合相关数据的统计学处理。

Statistical treatment of oxygenation-related data in muscle tissue.

机构信息

BaLoH Software, Prins Willem Alexanderstraat 8, 6576, BM, Ooij, The Netherlands.

Institute for Biomedical Research into Human Movement and Health, Manchester Metropolitan University, Manchester, UK.

出版信息

Adv Exp Med Biol. 2013;789:137-142. doi: 10.1007/978-1-4614-7411-1_19.

DOI:10.1007/978-1-4614-7411-1_19

PMID:23852487

Abstract

Muscle oxygenation is determined not only by the flow and oxygen content of the supplying blood but also by the density of the capillary network, the heterogeneity of the distribution of the capillaries and the properties and distribution of the muscle fibres. The distribution of the capillaries is adequately analysed by the method of capillary domains, which also allows to link capillaries to individual fibres. Thus, capillarisation can be linked to cell properties like fibre cross-sectional surface area and perimeter, and oxygen consumption of the individual muscle fibres. However, in order to meaningfully characterise tissue properties, such linkage has to be done for groups of cells. Since most of the data are not normally distributed - domains are lognormally distributed, but how fibre cross-sectional areas are distributed is unknown - a dedicated statistical analysis is required, particularly since none of the variables is independent.

摘要

肌肉氧合不仅取决于供应血液的流量和氧含量，还取决于毛细血管网络的密度、毛细血管分布的异质性以及肌肉纤维的特性和分布。毛细血管的分布可以通过毛细血管域的方法进行充分分析，该方法还可以将毛细血管与单个纤维联系起来。因此，毛细血管化可以与纤维横截面积和周长等细胞特性以及个体肌肉纤维的耗氧量联系起来。然而，为了有意义地描述组织特性，这种联系必须针对细胞群进行。由于大多数数据不是正态分布的（域呈对数正态分布，但纤维横截面积的分布方式尚不清楚），因此需要进行专门的统计分析，特别是因为没有一个变量是独立的。