4.7 Article

Detecting amyloid positivity in early Alzheimer's disease using combinations of plasma Aβ42/Aβ40 and p-tau

Journal

ALZHEIMERS & DEMENTIA
Volume 18, Issue 2, Pages 283-293

Publisher

WILEY
DOI: 10.1002/alz.12395

Keywords

Alzheimer's disease; amyloid; A beta 42/A beta 40; blood biomarkers; neurofilament light; p-tau217

Funding

  1. Swedish Research Council [2016-00906]
  2. Knut and AliceWallenberg Foundation [2017-0383]
  3. Marianne and MarcusWallenberg Foundation [2015.0125]
  4. Swedish Alzheimer Foundation [AF-745911, AF-846521]
  5. SwedishBrain Foundation [FO2019-0326]
  6. Parkinson Foundation of Sweden [1280/20]
  7. Skane University Hospital Foundation [2020-O000028]
  8. Regionalt Forskningsstod [2020-0314]
  9. Konung GustafV:s och Drottning Victorias Frimurarestiftelse
  10. Swedish federal government [2018-Projekt0279]
  11. European Commission (Marie Curie International Training Network, JPND)
  12. Health Holland
  13. Dutch Research Council (ZonMW)
  14. AlzheimerDrugDiscovery Foundation
  15. Selfridges Group Foundation
  16. AlzheimerNetherlands
  17. AlzheimerAssociation
  18. Strategic Research Area MultiPark (MultidisciplinaryResearch inParkinson's disease) at Lund University
  19. Bundy Academy

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The combination of blood Aβ 42 / Aβ 40 and p-tau217 showed relatively high accuracy in discriminating Aβ status, with p-tau217 demonstrating the strongest associations with Aβ pathology in MCI but not in CU.
Introduction: We studied usefulness of combining blood amyloid beta A(beta)42/A beta 40, phosphorylated tau (p-tau)217, and neurofilament light (NfL) to detect abnormal brain A beta deposition in different stages of early Alzheimer's disease (AD). Methods: Plasma biomarkers were measured using mass spectrometry (A beta 42/A beta 40) and immunoassays (p-tau217 and NfL) in cognitively unimpaired individuals (CU, N = 591) and patients with mild cognitive impairment (MCI, N = 304) from two independent cohorts (BioFINDER-1, BioFINDER-2). Results: In CU, a combination of plasma A beta 42/A beta 40 and p-tau217 detected abnormal brain A beta status with area under the curve (AUC) of 0.83 to 0.86. In MCI, the models including p-tau217 alone or A beta 42/A beta 40 and p-tau217 had similar AUCs (0.86-0.88); however, the latter showed improved model fit. The models were implemented in an online application providing individualized risk assessments (https://brainapps.shinyappas.io/PredictAAbplasma/). Discussion:A combination of plasma A beta 42/A beta 40 and p-tau217 discriminated A beta status with relatively high accuracy, whereas p-tau217 showed strongest associations with A beta pathology in MCI but not in CU.

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