Please use this identifier to cite or link to this item:
https://doi.org/10.1038/s41467-019-09030-2
Title: | Subtyping of circulating exosome-bound amyloid ? reflects brain plaque deposition | Authors: | Lim, C.Z.J. Zhang, Y. Chen, Y. Zhao, H. Stephenson, M.C. Ho, N.R.Y. Chen, Y. Chung, J. Reilhac, A. Loh, T.P. Chen, C.L.H. Shao, H. |
Issue Date: | 2019 | Publisher: | Nature Publishing Group | Citation: | Lim, C.Z.J., Zhang, Y., Chen, Y., Zhao, H., Stephenson, M.C., Ho, N.R.Y., Chen, Y., Chung, J., Reilhac, A., Loh, T.P., Chen, C.L.H., Shao, H. (2019). Subtyping of circulating exosome-bound amyloid ? reflects brain plaque deposition. Nature Communications 10 (1) : 1144. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-019-09030-2 | Rights: | Attribution 4.0 International | Abstract: | Despite intense interests in developing blood measurements of Alzheimer’s disease (AD), the progress has been confounded by limited sensitivity and poor correlation to brain pathology. Here, we present a dedicated analytical platform for measuring different populations of circulating amyloid ? (A?) proteins – exosome-bound vs. unbound – directly from blood. The technology, termed amplified plasmonic exosome (APEX), leverages in situ enzymatic conversion of localized optical deposits and double-layered plasmonic nanostructures to enable sensitive, multiplexed population analysis. It demonstrates superior sensitivity (~200 exosomes), and enables diverse target co-localization in exosomes. Employing the platform, we find that prefibrillar A? aggregates preferentially bind with exosomes. We thus define a population of A? as exosome-bound (A?42+ CD63+) and measure its abundance directly from AD and control blood samples. As compared to the unbound or total circulating A?, the exosome-bound A? measurement could better reflect PET imaging of brain amyloid plaques and differentiate various clinical groups. © 2019, The Author(s). | Source Title: | Nature Communications | URI: | https://scholarbank.nus.edu.sg/handle/10635/212097 | ISSN: | 20411723 | DOI: | 10.1038/s41467-019-09030-2 | Rights: | Attribution 4.0 International |
Appears in Collections: | Staff Publications Elements |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
10_1038_s41467-019-09030-2.pdf | 3.3 MB | Adobe PDF | OPEN | None | View/Download |
This item is licensed under a Creative Commons License