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

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 deteriorat...

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Autores principales: Cullen, Nicholas C., Leuzy, Antoine, Janelidze, Shorena, Palmqvist, Sebastian, Svenningsson, Anna L., Stomrud, Erik, Dage, Jeffrey L., Mattsson-Carlgren, Niklas, Hansson, Oskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196018/
https://www.ncbi.nlm.nih.gov/pubmed/34117234
http://dx.doi.org/10.1038/s41467-021-23746-0
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author Cullen, Nicholas C.
Leuzy, Antoine
Janelidze, Shorena
Palmqvist, Sebastian
Svenningsson, Anna L.
Stomrud, Erik
Dage, Jeffrey L.
Mattsson-Carlgren, Niklas
Hansson, Oskar
author_facet Cullen, Nicholas C.
Leuzy, Antoine
Janelidze, Shorena
Palmqvist, Sebastian
Svenningsson, Anna L.
Stomrud, Erik
Dage, Jeffrey L.
Mattsson-Carlgren, Niklas
Hansson, Oskar
author_sort Cullen, Nicholas C.
collection PubMed
description 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; R(2) = 0.14, 95% CI [0.12–0.17]; P < 0.0001) and subsequent AD dementia (AUC = 0.82, 95% CI [0.77–0.91], P < 0.0001). In a simulated clinical trial, a screening algorithm combining all three plasma biomarkers would reduce the required sample size by 70% (95% CI [54–81]; P < 0.001) with cognition as trial endpoint, and by 63% (95% CI [53–70], P < 0.001) with subsequent AD dementia as trial endpoint. Plasma ATN biomarkers show usefulness in cognitively unimpaired populations and could make large clinical trials more feasible and cost-effective.
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spelling pubmed-81960182021-06-17 Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations Cullen, Nicholas C. Leuzy, Antoine Janelidze, Shorena Palmqvist, Sebastian Svenningsson, Anna L. Stomrud, Erik Dage, Jeffrey L. Mattsson-Carlgren, Niklas Hansson, Oskar Nat Commun Article 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; R(2) = 0.14, 95% CI [0.12–0.17]; P < 0.0001) and subsequent AD dementia (AUC = 0.82, 95% CI [0.77–0.91], P < 0.0001). In a simulated clinical trial, a screening algorithm combining all three plasma biomarkers would reduce the required sample size by 70% (95% CI [54–81]; P < 0.001) with cognition as trial endpoint, and by 63% (95% CI [53–70], P < 0.001) with subsequent AD dementia as trial endpoint. Plasma ATN biomarkers show usefulness in cognitively unimpaired populations and could make large clinical trials more feasible and cost-effective. Nature Publishing Group UK 2021-06-11 /pmc/articles/PMC8196018/ /pubmed/34117234 http://dx.doi.org/10.1038/s41467-021-23746-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cullen, Nicholas C.
Leuzy, Antoine
Janelidze, Shorena
Palmqvist, Sebastian
Svenningsson, Anna L.
Stomrud, Erik
Dage, Jeffrey L.
Mattsson-Carlgren, Niklas
Hansson, Oskar
Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
title Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
title_full Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
title_fullStr Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
title_full_unstemmed Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
title_short Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
title_sort plasma biomarkers of alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196018/
https://www.ncbi.nlm.nih.gov/pubmed/34117234
http://dx.doi.org/10.1038/s41467-021-23746-0
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