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

  • Shorena Janelidze
  • , Sebastian Palmqvist
  • , Antoine Leuzy
  • , Erik Stomrud
  • , Inge M. W. Verberk
  • , Henrik Zetterberg
  • , Nicholas J. Ashton
  • , Pedro Pesini
  • , Leticia Sarasa
  • , José Antonio Allué
  • , Charlotte E. Teunissen
  • , Jeffrey L. Dage
  • , Kaj Blennow
  • , Niklas Mattsson-Carlgren
  • , Oskar Hansson*
  • *Corresponding author for this work
  • Lund University
  • Sahlgrenska Academy
  • University of Gothenburg
  • UCL Institute of Neurology
  • Great Ormond St Hospital for Children NHS Trust
  • King's College London
  • NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
  • Araclon Biotech Ltd., Zaragoza, Spain
  • Eli Lilly

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Introduction: We studied usefulness of combining blood amyloid beta (Aβ)42/Aβ40, phosphorylated tau (p-tau)217, and neurofilament light (NfL) to detect abnormal brain Aβ deposition in different stages of early Alzheimer's disease (AD). Methods: Plasma biomarkers were measured using mass spectrometry (Aβ42/Aβ40) 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 Aβ42/Aβ40 and p-tau217 detected abnormal brain Aβ status with area under the curve (AUC) of 0.83 to 0.86. In MCI, the models including p-tau217 alone or Aβ42/Aβ40 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.shinyapps.io/PredictABplasma/). Discussion: A combination of plasma Aβ42/Aβ40 and p-tau217 discriminated Aβ status with relatively high accuracy, whereas p-tau217 showed strongest associations with Aβ pathology in MCI but not in CU.
Original languageEnglish
JournalAlzheimer's and Dementia
Early online date2021
DOIs
Publication statusE-pub ahead of print - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alzheimer's disease
  • Aβ42/Aβ40
  • amyloid
  • blood biomarkers
  • neurofilament light
  • p-tau217

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