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血管模式形成作为血管生成分析对复杂分子和生理信号的综合解读。

Vascular Patterning as Integrative Readout of Complex Molecular and Physiological Signaling by VESsel GENeration Analysis.

机构信息

Redline Performance Solutions, Ames Research Center, National Aeronautics and Space Administration, Moffett Field, California, USA.

Mori Associates, Space Biology Division, Ames Research Center, National Aeronautics and Space Administration, Moffett Field, California, USA.

出版信息

J Vasc Res. 2021;58(4):207-230. doi: 10.1159/000514211. Epub 2021 Apr 9.

DOI:10.1159/000514211
PMID:33839725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9903340/
Abstract

The molecular signaling cascades that regulate angiogenesis and microvascular remodeling are fundamental to normal development, healthy physiology, and pathologies such as inflammation and cancer. Yet quantifying such complex, fractally branching vascular patterns remains difficult. We review application of NASA's globally available, freely downloadable VESsel GENeration (VESGEN) Analysis software to numerous examples of 2D vascular trees, networks, and tree-network composites. Upon input of a binary vascular image, automated output includes informative vascular maps and quantification of parameters such as tortuosity, fractal dimension, vessel diameter, area, length, number, and branch point. Previous research has demonstrated that cytokines and therapeutics such as vascular endothelial growth factor, basic fibroblast growth factor (fibroblast growth factor-2), transforming growth factor-beta-1, and steroid triamcinolone acetonide specify unique "fingerprint" or "biomarker" vascular patterns that integrate dominant signaling with physiological response. In vivo experimental examples described here include vascular response to keratinocyte growth factor, a novel vessel tortuosity factor; angiogenic inhibition in humanized tumor xenografts by the anti-angiogenesis drug leronlimab; intestinal vascular inflammation with probiotic protection by Saccharomyces boulardii, and a workflow programming of vascular architecture for 3D bioprinting of regenerative tissues from 2D images. Microvascular remodeling in the human retina is described for astronaut risks in microgravity, vessel tortuosity in diabetic retinopathy, and venous occlusive disease.

摘要

调控血管生成和微血管重塑的分子信号级联反应对于正常发育、健康生理以及炎症和癌症等病理学都是至关重要的。然而,量化这种复杂的、分形分支的血管模式仍然很困难。我们回顾了 NASA 全球可用的免费下载的 VESsel GENeration(VESGEN)分析软件在许多二维血管树、网络和树-网复合结构的应用。输入二值血管图像后,自动输出包括信息丰富的血管图以及诸如迂曲度、分形维数、血管直径、面积、长度、数量和分支点等参数的量化。先前的研究表明,细胞因子和治疗药物,如血管内皮生长因子、碱性成纤维细胞生长因子(成纤维细胞生长因子-2)、转化生长因子-β-1 和甾体曲安奈德,指定了独特的“指纹”或“生物标志物”血管模式,这些模式将主导信号与生理反应整合在一起。这里描述的体内实验实例包括角质细胞生长因子对血管的反应,这是一种新的血管迂曲因子;抗血管生成药物 leronlimab 对人源化肿瘤异种移植物的血管生成抑制作用;Saccharomyces boulardii 对肠道血管炎症的保护作用,以及将二维图像的血管结构编程为 3D 生物打印再生组织的工作流程。还描述了人类视网膜中的微血管重塑,用于研究微重力条件下宇航员的风险、糖尿病视网膜病变中的血管迂曲度和静脉阻塞性疾病。

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