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利用组织微阵列对阿尔茨海默病神经病理学进行定量分析。

Quantification of Alzheimer disease neuropathology using tissue microarrays.

作者信息

Nguyen-Hao Hoang-Tuong, Liu Jie, Novelli Mario, Maskey Dhiraj, Schwartz Raymond S, Harari Oscar, Sutherland Greg T

机构信息

Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia.

Department of Neurology, Neurological Research Institute, Ohio State University, Columbus, OH, United States.

出版信息

J Neuropathol Exp Neurol. 2025 Oct 1;84(10):855-869. doi: 10.1093/jnen/nlaf064.

Abstract

Alzheimer's disease (AD) is characterized by the hallmark pathologies of β-amyloid plaques and neurofibrillary tangles (NFTs), which vary across brain regions and between affected individuals. As a rapid research method to quantify hallmark pathologies and their relationships with the surrounding cytoarchitecture across the brain, we trialed tissue microarrays (TMAs) in combination with multiplex immunofluorescence and semi-automated image analysis. We assayed the hallmark pathologies across grey and white matter sites of 11 different brain regions and quantified astrocytes, microglia, and neurons in four AD cases and four age- and gender-matched controls. The results demonstrated that 2 mm cores differentiated AD-affected individuals from healthy donors. Regional amyloid loads corroborated the established spread from the neocortex to allocortex, pontine, and occasionally cerebellar regions. Similarly, NFT counts matched the pattern predicted by Braak staging. Contrasting with the two hallmark pathologies, regional cell numbers were similar between cases and controls although cell counts were affected by variable staining quality. These results suggest that TMAs in combination with multiplex immunofluorescence and image analysis offer a powerful research tool for the rapid assessment of brain-wide AD neuropathological change in postmortem tissue. This quick assessment allows an informed selection of regions for more comprehensive investigations.

摘要

阿尔茨海默病(AD)的特征是具有β-淀粉样蛋白斑块和神经原纤维缠结(NFTs)这些标志性病变,它们在不同脑区以及不同受影响个体之间存在差异。作为一种快速的研究方法,用于量化整个大脑的标志性病变及其与周围细胞结构的关系,我们尝试将组织微阵列(TMA)与多重免疫荧光和半自动图像分析相结合。我们检测了11个不同脑区灰质和白质部位的标志性病变,并对4例AD患者和4例年龄及性别匹配的对照者的星形胶质细胞、小胶质细胞和神经元进行了定量分析。结果表明,2毫米的组织芯能够区分AD患者和健康供体。区域淀粉样蛋白负荷证实了已确定的从新皮质向旧皮质、脑桥,偶尔还有小脑区域的扩散模式。同样,NFT计数与Braak分期预测的模式相符。与这两种标志性病变形成对比的是,尽管细胞计数受到染色质量变化的影响,但病例组和对照组之间的区域细胞数量相似。这些结果表明,TMA与多重免疫荧光和图像分析相结合,为快速评估死后组织中全脑AD神经病理变化提供了一种强大的研究工具。这种快速评估有助于明智地选择区域进行更全面的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c439/12456884/6a855446333c/nlaf064f1.jpg

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