Suppr超能文献

利用数字病理学分析小鼠脑血管。

Using digital pathology to analyze the murine cerebrovasculature.

机构信息

Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA.

Stark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.

出版信息

J Cereb Blood Flow Metab. 2024 Apr;44(4):595-610. doi: 10.1177/0271678X231216142. Epub 2023 Nov 21.

Abstract

Research on the cerebrovasculature may provide insights into brain health and disease. Immunohistochemical staining is one way to visualize blood vessels, and digital pathology has the potential to revolutionize the measurement of blood vessel parameters. These tools provide opportunities for translational mouse model research. However, mouse brain tissue presents a formidable set of technical challenges, including potentially high background staining and cross-reactivity of endogenous IgG. Formalin-fixed paraffin-embedded (FFPE) and fixed frozen sections, both of which are widely used, may require different methods. In this study, we optimized blood vessel staining in mouse brain tissue, testing both FFPE and frozen fixed sections. A panel of immunohistochemical blood vessel markers were tested (including CD31, CD34, collagen IV, DP71, and VWF), to evaluate their suitability for digital pathological analysis. Collagen IV provided the best immunostaining results in both FFPE and frozen fixed murine brain sections, with highly-specific staining of large and small blood vessels and low background staining. Subsequent analysis of collagen IV-stained sections showed region and sex-specific differences in vessel density and vessel wall thickness. We conclude that digital pathology provides a useful tool for relatively unbiased analysis of the murine cerebrovasculature, provided proper protein markers are used.

摘要

对脑血管的研究可能为大脑健康和疾病提供新的见解。免疫组织化学染色是一种可视化血管的方法,而数字病理学有可能彻底改变血管参数的测量方式。这些工具为转化型小鼠模型研究提供了机会。然而,小鼠脑组织提出了一系列艰巨的技术挑战,包括潜在的高背景染色和内源性 IgG 的交叉反应性。广泛使用的福尔马林固定石蜡包埋(FFPE)和固定冷冻切片可能需要不同的方法。在这项研究中,我们优化了小鼠脑组织中的血管染色,测试了 FFPE 和冷冻固定切片。我们测试了一系列免疫组织化学血管标志物(包括 CD31、CD34、IV 型胶原、DP71 和 VWF),以评估它们是否适合数字病理学分析。IV 型胶原在 FFPE 和冷冻固定的小鼠脑组织切片中均提供了最佳的免疫染色结果,对大、小血管具有高度特异性染色,且背景染色低。对 IV 型胶原染色切片的后续分析显示,血管密度和血管壁厚度存在区域和性别特异性差异。我们得出结论,数字病理学为相对无偏倚地分析小鼠脑血管提供了一种有用的工具,前提是使用适当的蛋白质标志物。

相似文献

1
Using digital pathology to analyze the murine cerebrovasculature.利用数字病理学分析小鼠脑血管。
J Cereb Blood Flow Metab. 2024 Apr;44(4):595-610. doi: 10.1177/0271678X231216142. Epub 2023 Nov 21.

本文引用的文献

7
Digital pathology systems enabling quality patient care.数字病理学系统实现优质患者护理。
Genes Chromosomes Cancer. 2023 Nov;62(11):685-697. doi: 10.1002/gcc.23192. Epub 2023 Jul 17.
10
Mechanically manipulating glymphatic transport by ultrasound combined with microbubbles.通过超声联合微泡机械操纵脑淋巴系统转运。
Proc Natl Acad Sci U S A. 2023 May 23;120(21):e2212933120. doi: 10.1073/pnas.2212933120. Epub 2023 May 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验