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基于相衬 CT 的人脑海马体三维虚拟组织学。

Three-dimensional virtual histology of the human hippocampus based on phase-contrast computed tomography.

机构信息

Institut für Röntgenphysik, Universität Göttingen, 37077 Göttingen, Deutschland.

Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells," Universität Göttingen, 37077 Göttingen, Deutschland.

出版信息

Proc Natl Acad Sci U S A. 2021 Nov 30;118(48). doi: 10.1073/pnas.2113835118.

DOI:10.1073/pnas.2113835118
PMID:34819378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8640721/
Abstract

We have studied the three-dimensional (3D) cytoarchitecture of the human hippocampus in neuropathologically healthy and Alzheimer's disease (AD) individuals, based on phase-contrast X-ray computed tomography of postmortem human tissue punch biopsies. In view of recent findings suggesting a nuclear origin of AD, we target in particular the nuclear structure of the dentate gyrus (DG) granule cells. Tissue samples of 20 individuals were scanned and evaluated using a highly automated approach of measurement and analysis, combining multiscale recordings, optimized phase retrieval, segmentation by machine learning, representation of structural properties in a feature space, and classification based on the theory of optimal transport. Accordingly, we find that the prototypical transformation between a structure representing healthy granule cells and the pathological state involves a decrease in the volume of granule cell nuclei, as well as an increase in the electron density and its spatial heterogeneity. The latter can be explained by a higher ratio of heterochromatin to euchromatin. Similarly, many other structural properties can be derived from the data, reflecting both the natural polydispersity of the hippocampal cytoarchitecture between different individuals in the physiological context and the structural effects associated with AD pathology.

摘要

我们基于对死后人体组织活检的相衬 X 射线计算机断层扫描,研究了神经病理学上健康个体和阿尔茨海默病(AD)个体的人类海马体的三维(3D)细胞结构。鉴于最近有研究表明 AD 具有核起源,我们特别针对齿状回(DG)颗粒细胞的核结构进行了研究。我们对 20 名个体的组织样本进行了扫描,并使用一种高度自动化的测量和分析方法进行了评估,该方法结合了多尺度记录、优化的相位恢复、基于机器学习的分割、结构特性在特征空间中的表示以及基于最优传输理论的分类。因此,我们发现,代表健康颗粒细胞的结构与病理状态之间的典型转换涉及颗粒细胞核体积的减少,以及电子密度及其空间异质性的增加。后者可以通过异染色质与常染色质的更高比例来解释。同样,可以从数据中得出许多其他结构特性,反映了在生理背景下不同个体之间海马体细胞结构的自然多分散性,以及与 AD 病理学相关的结构效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/541ddf515c52/pnas.202113835fig08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/22089a8ea2fa/pnas.202113835fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/376047db2c5a/pnas.202113835fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/138533f72420/pnas.202113835fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/65a1b8b319e0/pnas.202113835fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/4b3b99fb75d6/pnas.202113835fig05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/841e4c19c99f/pnas.202113835fig06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/78abe88046b5/pnas.202113835fig07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/541ddf515c52/pnas.202113835fig08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/22089a8ea2fa/pnas.202113835fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/376047db2c5a/pnas.202113835fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/138533f72420/pnas.202113835fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/65a1b8b319e0/pnas.202113835fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/4b3b99fb75d6/pnas.202113835fig05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/841e4c19c99f/pnas.202113835fig06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/78abe88046b5/pnas.202113835fig07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d8/8640721/541ddf515c52/pnas.202113835fig08.jpg

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