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Diagnostics (Basel). 2023 Aug 14;13(16):2676. doi: 10.3390/diagnostics13162676.
2
Endothelial structure contributes to heterogeneity in brain capillary diameter.内皮结构导致脑毛细血管直径存在异质性。
Vasc Biol. 2023 Sep 6;5(1). doi: 10.1530/VB-23-0010. Print 2023 Jan 1.
3
Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review.使用组织学和细胞学图像的深度学习在肺癌诊断、预后和预测中的应用:一项系统综述。
Cancers (Basel). 2023 Aug 5;15(15):3981. doi: 10.3390/cancers15153981.
4
Application of digital pathology-based advanced analytics of tumour microenvironment organisation to predict prognosis and therapeutic response.基于数字病理学的肿瘤微环境组织高级分析在预测预后和治疗反应中的应用。
J Pathol. 2023 Aug;260(5):578-591. doi: 10.1002/path.6153. Epub 2023 Aug 8.
5
An Unexpected Diagnosis Uncovered by Quantitative Molecular Findings: A Case Report.定量分子检测发现意外诊断:病例报告。
J Natl Compr Canc Netw. 2023 Aug;21(8):787-791. doi: 10.6004/jnccn.2023.7014.
6
Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy.采用动态光散射光相干断层扫描和双光子显微镜技术对皮质微血管血流速度进行成像。
J Biomed Opt. 2023 Jul;28(7):076003. doi: 10.1117/1.JBO.28.7.076003. Epub 2023 Jul 21.
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.
8
Deep optoacoustic localization microangiography of ischemic stroke in mice.小鼠缺血性脑卒中的深层光声定位微血管成像。
Nat Commun. 2023 Jun 16;14(1):3584. doi: 10.1038/s41467-023-39069-1.
9
Vessel size as a marker of survival in estrogen receptor positive breast cancer.血管大小可作为预测雌激素受体阳性乳腺癌患者生存的标志物。
Breast Cancer Res Treat. 2023 Jul;200(2):293-304. doi: 10.1007/s10549-023-06974-4. Epub 2023 May 24.
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.

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.

DOI:10.1177/0271678X231216142
PMID:37988134
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10981399/
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。