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Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer’s disease

Version 2 2023-11-28, 05:34
Version 1 2020-12-17, 04:15
journal contribution
posted on 2023-11-28, 05:34 authored by Kevin HuynhKevin Huynh, WLF Lim, Corey GilesCorey Giles, KS Jayawardana, Agus SalimAgus Salim, NA Mellett, AAT Smith, G Olshansky, Brian DrewBrian Drew, P Chatterjee, I Martins, SM Laws, AI Bush, CC Rowe, VL Villemagne, D Ames, CL Masters, M Arnold, K Nho, AJ Saykin, R Baillie, X Han, R Kaddurah-Daouk, RN Martins, Peter MeiklePeter Meikle
© 2020, The Author(s). Changes to lipid metabolism are tightly associated with the onset and pathology of Alzheimer’s disease (AD). Lipids are complex molecules comprising many isomeric and isobaric species, necessitating detailed analysis to enable interpretation of biological significance. Our expanded targeted lipidomics platform (569 species across 32 classes) allows for detailed lipid separation and characterisation. In this study we examined peripheral samples of two cohorts (AIBL, n = 1112 and ADNI, n = 800). We are able to identify concordant peripheral signatures associated with prevalent AD arising from lipid pathways including; ether lipids, sphingolipids (notably GM3 gangliosides) and lipid classes previously associated with cardiometabolic disease (phosphatidylethanolamine and triglycerides). We subsequently identified similar lipid signatures in both cohorts with future disease. Lastly, we developed multivariate lipid models that improved classification and prediction. Our results provide a holistic view between the lipidome and AD using a comprehensive approach, providing targets for further mechanistic investigation.

History

Publication Date

2020-11-10

Journal

Nature Communications

Volume

11

Article Number

5698

Pagination

11p. (p. 1-11)

Publisher

Springer Nature

ISSN

2041-1723

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

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