Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
Nicholas C. Cullen,
Antoine Leuzy,
Shorena Janelidze,
Sebastian Palmqvist,
Anna L. Svenningsson,
Erik Stomrud,
Jeffrey L. Dage,
Niklas Mattsson-Carlgren () and
Oskar Hansson ()
Additional contact information
Nicholas C. Cullen: Lund University
Antoine Leuzy: Lund University
Shorena Janelidze: Lund University
Sebastian Palmqvist: Lund University
Anna L. Svenningsson: Lund University
Erik Stomrud: Lund University
Jeffrey L. Dage: Eli Lilly and Company
Niklas Mattsson-Carlgren: Lund University
Oskar Hansson: Lund University
Nature Communications, 2021, vol. 12, issue 1, 1-9
Abstract:
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
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/s41467-021-23746-0 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23746-0
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-021-23746-0
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().