IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-23746-0.html
   My bibliography  Save this article

Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations

Author

Listed:
  • Nicholas C. Cullen

    (Lund University)

  • Antoine Leuzy

    (Lund University)

  • Shorena Janelidze

    (Lund University)

  • Sebastian Palmqvist

    (Lund University
    Skåne University Hospital)

  • Anna L. Svenningsson

    (Lund University
    Skåne University Hospital)

  • Erik Stomrud

    (Lund University
    Skåne University Hospital)

  • Jeffrey L. Dage

    (Eli Lilly and Company)

  • Niklas Mattsson-Carlgren

    (Lund University
    Skåne University Hospital
    Lund University)

  • Oskar Hansson

    (Lund University
    Skåne University Hospital)

Abstract

Plasma biomarkers of amyloid, tau, and neurodegeneration (ATN) need to be characterized in cognitively unimpaired (CU) elderly individuals. We therefore tested if plasma measurements of amyloid-β (Aβ)42/40, phospho-tau217 (P-tau217), and neurofilament light (NfL) together predict clinical deterioration in 435 CU individuals followed for an average of 4.8 ± 1.7 years in the BioFINDER study. A combination of all three plasma biomarkers and basic demographics best predicted change in cognition (Pre-Alzheimer’s Clinical Composite; R2 = 0.14, 95% CI [0.12–0.17]; P

Suggested Citation

  • Nicholas C. Cullen & Antoine Leuzy & Shorena Janelidze & Sebastian Palmqvist & Anna L. Svenningsson & Erik Stomrud & Jeffrey L. Dage & Niklas Mattsson-Carlgren & Oskar Hansson, 2021. "Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23746-0
    DOI: 10.1038/s41467-021-23746-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-23746-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-021-23746-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huimin Cai & Yana Pang & Xiaofeng Fu & Ziye Ren & Longfei Jia, 2023. "Plasma biomarkers predict Alzheimer’s disease before clinical onset in Chinese cohorts," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23746-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.