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  4. 3D mapping reveals network-specific amyloid progression and subcortical susceptibility in mice

3D mapping reveals network-specific amyloid progression and subcortical susceptibility in mice

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s42003-019-0599-8.pdf

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sword-2021-06-08T18:10:23.original.xml (130 B)
Original SWORD entry document
Author(s)
Canter, Rebecca Gail
•
Huang, Wen-Chin
•
Choi, Heejin
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Wang, Jun
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Watson, Lauren Ashley
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Yao, Christine G
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Abdurrob, Fatema
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Bousleiman, Stephanie M
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Young, Jennie Zin-Ney
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Bennett, David A.
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Date Issued
2019
Journal
Communications Biology
Publisher
Springer Science and Business Media LLC
Version
Final published version
Abstract
© 2019, The Author(s). Alzheimer’s disease (AD) is a progressive, neurodegenerative dementia with no cure. Prominent hypotheses suggest accumulation of beta-amyloid (Aβ) contributes to neurodegeneration and memory loss, however identifying brain regions with early susceptibility to Aβ remains elusive. Using SWITCH to immunolabel intact brain, we created a spatiotemporal map of Aβ deposition in the 5XFAD mouse. We report that subcortical memory structures show primary susceptibility to Aβ and that aggregates develop in increasingly complex networks with age. The densest early Aβ occurs in the mammillary body, septum, and subiculum- core regions of the Papez memory circuit. Previously, early mammillary body dysfunction in AD had not been established. We also show that Aβ in the mammillary body correlates with neuronal hyper-excitability and that modulation using a pharmacogenetic approach reduces Aβ deposition. Our data demonstrate large-tissue volume processing techniques can enhance biological discovery and suggest that subcortical susceptibility may underlie early brain alterations in AD.
MIT Department
Picower Institute for Learning and Memory
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/134645.2
DOI of Published Version
https://doi.org/10.1038/S42003-019-0599-8
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