Mathematical analysis for spatial distribution of vessels, mast cells and adipocytes in superficial fascia.
Mathematical analysis for spatial distribution of vessels, mast cells and adipocytes in superficial fascia.
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浅筋膜血管、肥大细胞和脂肪细胞空间分布的数学分析
DOI：
10.3389/fphys.2022.1026019
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发表时间：
2022
影响因子：
4
通讯作者：
Xu, Guoheng
中科院分区：
文献类型：
--
作者：
Dong, Yingyue;Zhang, Dandan;Cao, Yingri;Zhang, Yanfei;Sun, Xiaozhe;Chen, Tongsheng;Zhang, Yuanyuan;Xu, Guoheng
浅筋膜是一种典型的软结缔组织，是脂肪细胞的新来源，具有丰富的脂肪细胞和前脂肪细胞，并伴有大量肥大细胞。血管穿过筋膜形成网状结构。更合理的统计分析方法，通过厘清细胞（点状结构）与血管（线状结构）的空间分布关系，为深入研究软结缔组织提供了新的方法。本研究采用Guidolin等流行病学和生态学的统计分析方法，定量分析血管、脂肪细胞和肥大细胞的分布规律及相关性。采用图像处理软件和自行编写的计算机程序对整片筋膜图像进行分析，并自动测量相关数据。Voronoi的分析显示血管网络分布不均匀。在平均面积为3.75 cm2的筋膜中，定量组织学分析显示81.16%的肥大细胞和74.74%的脂肪细胞分布在血管60 μm内。Spearman相关系数（rs）为>.7，表明两种细胞在不同区域的共分布。Ridge回归分析进一步揭示了血管、脂肪细胞和肥大细胞之间的空间相关性。经典流行病学分析与扩展计算机程序分析相结合，可以更好地分析细胞与血管的空间分布关系，为筋膜及相关结缔组织的组织学形态研究提供有效的分析方法。
As a novel origin of adipocytes, the superficial fascia, a typical soft connective tissue, has abundant adipocytes and preadipocytes, accompanied by numerous mast cells. Blood vessels pass through the fascia to form a network structure. The more reasonable statistical analysis methods can provide a new method for in-depth study of soft connective tissue by clarifying the spatial distribution relation between cells (point structure) and blood vessels (linear structure). This study adopted the Guidolin et al. statistical analysis methods used by epidemiology and ecology to quantitatively analyze the distribution pattern and correlations among blood vessels, adipocytes, and mast cells. Image-processing software and self-written computer programs were used to analyze images of whole-mounted fascia, and the relevant data were measured automatically. Voronoi’s analysis revealed that the vascular network was non-uniformly distributed. In fascia with average area of 3.75 cm2, quantitative histological analysis revealed 81.16% of mast cells and 74.74% of adipocytes distributed within 60 μm of blood vessels. A Spearman’s correlation coefficient (rs) of >0.7 showed the co-distribution of the two types of cells under different areas. Ridge regression analysis further revealed the spatial correlation among blood vessels, adipocytes and mast cells. The combination of classical epidemiological analysis and extended computer program analysis can better analyze the spatial distribution relation between cells and vessels and should provide an effective analysis method for study of the histology and morphology of fascia and related connective tissues.
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DOI：
10.1038/nri2782
发表时间：
2010-06
期刊：
Nature reviews. Immunology
影响因子：
--
作者：
通讯作者：
--
影响因子：
2
作者：
MARCELPOIL, R;USSON, Y
通讯作者：
USSON, Y
DOI：
10.3390/diagnostics12081884
发表时间：
2022-08-04
期刊：
Diagnostics (Basel, Switzerland)
影响因子：
--
作者：
通讯作者：
--
影响因子：
3.3
作者：
Gatrell, AC;Bailey, TC;Rowlingson, BS
通讯作者：
Rowlingson, BS
影响因子：
1.4
作者：
Abu-Hijleh, M. F.;Roshier, A. L.;Harris, P. F.
通讯作者：
Harris, P. F.