Plasma Amyloid-β Biomarker Associated with Cognitive Decline in Preclinical Alzheimer's Disease.


Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2020
Historique:
pubmed: 15 9 2020
medline: 10 9 2021
entrez: 14 9 2020
Statut: ppublish

Résumé

Using immunoprecipitation-mass spectrometry, we recently developed and validated a plasma composite biomarker for the assessment of amyloid-β (Aβ) levels. However, as yet, its relationship with clinical outcomes remains unclear. We aimed to examine the relationship between this plasma Aβ composite biomarker and cognitive function in cognitively normal older adults in two independent cohorts. Participants enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study and the National Centre for Geriatrics and Gerontology (NCGG) study had undergone Aβ neuroimaging using positron emission tomography (PET), cognitive assessments and provided blood samples. We derived a high-performance plasma Aβ composite biomarker by immunoprecipitation with mass-spectrometry. Both continuous and categorical measures of the plasma Aβ composite biomarker were significantly related to decline in episodic memory and executive function. The magnitude of effects of the plasma Aβ composite on episodic memory and executive function were comparable to that observed for the effects of PET Aβ levels on these same outcome measures. Several plasma Aβ biomarkers have been developed, but none have yet been applied to investigate their relationship with cognitive outcomes. Our results have important implications for the use of this biomarker in the detection of at-risk individuals.

Sections du résumé

BACKGROUND
Using immunoprecipitation-mass spectrometry, we recently developed and validated a plasma composite biomarker for the assessment of amyloid-β (Aβ) levels. However, as yet, its relationship with clinical outcomes remains unclear.
OBJECTIVE
We aimed to examine the relationship between this plasma Aβ composite biomarker and cognitive function in cognitively normal older adults in two independent cohorts.
METHODS
Participants enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study and the National Centre for Geriatrics and Gerontology (NCGG) study had undergone Aβ neuroimaging using positron emission tomography (PET), cognitive assessments and provided blood samples. We derived a high-performance plasma Aβ composite biomarker by immunoprecipitation with mass-spectrometry.
RESULTS
Both continuous and categorical measures of the plasma Aβ composite biomarker were significantly related to decline in episodic memory and executive function. The magnitude of effects of the plasma Aβ composite on episodic memory and executive function were comparable to that observed for the effects of PET Aβ levels on these same outcome measures.
CONCLUSION
Several plasma Aβ biomarkers have been developed, but none have yet been applied to investigate their relationship with cognitive outcomes. Our results have important implications for the use of this biomarker in the detection of at-risk individuals.

Identifiants

pubmed: 32925048
pii: JAD200475
doi: 10.3233/JAD-200475
doi:

Substances chimiques

Amyloid beta-Peptides 0
Biomarkers 0

Banques de données

UMIN-CTR
['000016144']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1057-1065

Auteurs

Yen Ying Lim (YY)

The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.
The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.

Paul Maruff (P)

The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.
Cogstate Ltd., Melbourne, VIC, Australia.

Naoki Kaneko (N)

Koichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.

James Doecke (J)

Health and Biosecurity, CSIRO, Brisbane, Australia.

Christopher Fowler (C)

The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.

Victor L Villemagne (VL)

The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.
Austin Health, Department of Molecular Imaging and Therapy, Center for PET, Heidelberg, VIC, Australia.

Takashi Kato (T)

Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Christopher C Rowe (CC)

The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.
Austin Health, Department of Molecular Imaging and Therapy, Center for PET, Heidelberg, VIC, Australia.

Yutaka Arahata (Y)

National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Shinichi Iwamoto (S)

Cogstate Ltd., Melbourne, VIC, Australia.

Kengo Ito (K)

Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Koichi Tanaka (K)

Koichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.

Katsuhiko Yanagisawa (K)

Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Colin L Masters (CL)

The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.

Akinori Nakamura (A)

Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

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Classifications MeSH