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健康组织和病变组织中微血管系统的三维图像分析

3D Image Analysis of the Microvasculature in Healthy and Diseased Tissues.

作者信息

Sahún-Español Álvaro, Clemente Cristina, Arroyo Alicia G

机构信息

Matrix Metalloproteinases in Angiogenesis and Inflammation Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.

出版信息

Methods Mol Biol. 2018;1731:193-212. doi: 10.1007/978-1-4939-7595-2_18.

Abstract

The vasculature ensures optimal delivery of nutrients and oxygen throughout the body. The ability to respond to changing tissue demands requires constant reshaping of the vascular network through modulation of its density, diameter, or patterning. These processes are especially prominent after tissue damage or in tumors. The matrix metalloproteinase (MMP) family of endopeptidases are key contributors to vascular remodeling, able to cleave all extracellular matrix components and also soluble factors and membrane receptors. Observations recorded over several decades have established that the vasculature changes in pathological contexts, and this has formed the basis for developing angiotherapies as a novel approach to treating disease. For example, inhibition of angiogenesis or normalization of the vasculature has been proposed as treatment for cancer and chronic inflammatory diseases. In contrast, boosting angiogenesis may be helpful in ischemic conditions such as myocardial infarction and in regenerative medicine. Classical histological methods for the analysis of tissue vasculature have relied on thin sections that do not capture the complex 3D structure of the vascular network. Given the importance of understanding disease-associated vascular changes for the development of rational angiotherapeutic interventions, we present a protocol for thick section-based 3D image analysis of vasculature structure and function.

摘要

脉管系统确保营养物质和氧气在全身的最佳输送。为响应不断变化的组织需求,需要通过调节血管网络的密度、直径或模式来持续重塑血管网络。这些过程在组织损伤后或肿瘤中尤为突出。基质金属蛋白酶(MMP)家族的内肽酶是血管重塑的关键因素,能够裂解所有细胞外基质成分以及可溶性因子和膜受体。几十年来的观察结果表明,脉管系统在病理情况下会发生变化,这为开发血管生成疗法作为一种治疗疾病的新方法奠定了基础。例如,抑制血管生成或使脉管系统正常化已被提议用于治疗癌症和慢性炎症性疾病。相比之下,促进血管生成可能有助于治疗诸如心肌梗死等缺血性疾病以及再生医学。用于分析组织脉管系统的传统组织学方法依赖于薄切片,无法捕捉血管网络的复杂三维结构。鉴于了解与疾病相关的血管变化对于合理的血管生成治疗干预措施的开发至关重要,我们提出了一种基于厚切片的脉管系统结构和功能三维图像分析方案。

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