Journal article
Validation of plasma proteomic biomarkers relating to brain amyloid burden in the EMIF-Alzheimer's disease multimodal biomarker discovery cohort
- Abstract:
- We have previously investigated, discovered, and replicated plasma protein biomarkers for use to triage potential trials participants for PET or cerebrospinal fluid measures of Alzheimer's disease (AD) pathology. This study sought to undertake validation of these candidate plasma biomarkers in a large, multi-center sample collection. Targeted plasma analyses of 34 proteins with prior evidence for prediction of in vivo pathology were conducted in up to 1,000 samples from cognitively healthy elderly individuals, people with mild cognitive impairment, and in patients with AD-type dementia, selected from the EMIF-AD catalogue. Proteins were measured using Luminex xMAP, ELISA, and Meso Scale Discovery assays. Seven proteins replicated in their ability to predict in vivo amyloid pathology. These proteins form a biomarker panel that, along with age, could significantly discriminate between individuals with high and low amyloid pathology with an area under the curve of 0.74. The performance of this biomarker panel remained consistent when tested in apolipoprotein E ɛ4 non-carrier individuals only. This blood-based panel is biologically relevant, measurable using practical immunocapture arrays, and could significantly reduce the cost incurred to clinical trials through screen failure.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 162.5KB, Terms of use)
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- Publisher copy:
- 10.3233/jad-190434
- Publisher:
- IOS Press
- Journal:
- Journal of Alzheimer's Disease More from this journal
- Volume:
- 74
- Issue:
- 1
- Pages:
- 213-225
- Publication date:
- 2020-03-10
- Acceptance date:
- 2019-12-27
- DOI:
- EISSN:
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1875-8908
- ISSN:
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1387-2877
- Pmid:
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31985466
- Language:
-
English
- Keywords:
- Pubs id:
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1083813
- Local pid:
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pubs:1083813
- Deposit date:
-
2020-04-26
Terms of use
- Copyright holder:
- IOS Press and the authors.
- Copyright date:
- 2020
- Rights statement:
- © 2020 – IOS Press and the authors. This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0).
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