Department of Medicine, The University of Chicago, Chicago, IL, USA.
Islets. 2012 Mar-Apr;4(2):167-72. doi: 10.4161/isl.19256. Epub 2012 Mar 1.
Human islets exhibit distinct islet architecture particularly in large islets that comprise of a relatively abundant fraction of α-cells intermingled with β-cells, whereas mouse islets show largely similar architecture of a β-cell core with α-cells in the periphery. In humans, islet architecture is islet-size dependent. Changes in endocrine cell mass preferentially occurred in large islets as demonstrated in our recent study on pathological changes of the pancreas in patients with type 2 diabetes. ( 1) The size dependency of human islets in morphological changes prompted us to develop a method to capture the representative islet distribution in the whole pancreas section combined with a semi-automated analysis to quantify changes in islet architecture. The computer-assisted quantification allows detailed examination of endocrine cell composition in individual islets and minimizes sampling bias. The standard immunohistochemistry based method is widely applicable to various specimens, which is particularly useful for large animal studies but is also applied to a large-scale analysis of the whole organ section from mice. In this article, we describe the method of image capture, parameters measured, data analysis and interpretation of the data.
人类胰岛表现出独特的胰岛结构,特别是在大型胰岛中,其中包含相对丰富的α-细胞与β-细胞混合,而小鼠胰岛的β-细胞核心结构基本相似,α-细胞位于外周。在人类中,胰岛结构与胰岛大小有关。我们最近在 2 型糖尿病患者胰腺病变的研究中表明,内分泌细胞质量的变化优先发生在大型胰岛中。(1)人类胰岛在形态变化上的大小依赖性促使我们开发了一种方法,以结合半自动分析来捕获整个胰腺切片中代表性的胰岛分布,从而量化胰岛结构的变化。计算机辅助定量分析允许对单个胰岛中的内分泌细胞组成进行详细检查,并最大限度地减少采样偏差。基于标准免疫组织化学的方法广泛适用于各种标本,这对于大型动物研究特别有用,但也适用于对来自小鼠的整个器官切片进行大规模分析。在本文中,我们描述了图像捕获的方法、测量的参数、数据分析和数据解释。