Developing Topics.


Journal

Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 9 8 2024
pubmed: 9 8 2024
entrez: 9 8 2024
Statut: ppublish

Résumé

A previous comparative analysis of plasma Aβ42/40 immunoassays and mass spectrometry-based assays conducted in 2021 found that several assays had strong performance in predicting amyloid PET status (Zicha et al., 2022). In the spirit of enabling the National Institute on Aging and the Alzheimer's Association framework for classifying Alzheimer's disease (AD) utilizing measures of pathology for amyloid, tau, and neurodegeneration (ATN), we have added to this comparative analysis a newly developed immunoassay on an automated, scalable platform. Robustly validated plasma Aβ assays represent a non-invasive and cost-effective alternative to CSF or neuroimaging for early detection of Alzheimer's disease pathology and screening participants for enrollment into clinical trials. The project team consists of pharmaceutical industry, patient advocacy, governmental, and academic representatives. The current study utilized an additional aliquot of the same 130 plasma samples provided by ADNI that were previously tested on three immunoassays and three mass spectrometry-based assays. The statistical analysis plan was performed as published previously to determine if the measurement of plasma Aβ with age and APOE ε4 status performs better than age and APOE ε4 status alone in determining amyloid PET status. In this sample cohort, the new automated immunoassay with age and APOE genotype had similar prediction of amyloid status compared to mass spectrometry-based assays, with an ROC AUC of 85.7 (95% CI: 79.1 - 92.4) for the immunoassay and 84.2 (95% CI: 77.0 - 91.3) for the best- performing mass spectrometry-based assay. The Spearman correlation of plasma Aβ42/40 with amyloid PET (florbetapir standardized uptake value ratio) for the new immunoassay was -0.567 (p < 0.001) compared to -0.536 (p < 0.001) for the best performing mass spectrometry-based assay. The new immunoassay significantly improved the prediction of amyloid positivity beyond age and APOE ε4 genotype (p = 0.003). Results from this comparative analysis together with the continued advancement in plasma assay technology identify a potential use for plasma Aβ42/40 measurement in addressing the amyloid component of the ATN framework. Further evaluation of plasma Aβ42/40 in addition to p-tau in plasma is planned using longitudinal samples to determine the ability of plasma biomarkers to detect amyloidosis.

Sections du résumé

BACKGROUND BACKGROUND
A previous comparative analysis of plasma Aβ42/40 immunoassays and mass spectrometry-based assays conducted in 2021 found that several assays had strong performance in predicting amyloid PET status (Zicha et al., 2022). In the spirit of enabling the National Institute on Aging and the Alzheimer's Association framework for classifying Alzheimer's disease (AD) utilizing measures of pathology for amyloid, tau, and neurodegeneration (ATN), we have added to this comparative analysis a newly developed immunoassay on an automated, scalable platform. Robustly validated plasma Aβ assays represent a non-invasive and cost-effective alternative to CSF or neuroimaging for early detection of Alzheimer's disease pathology and screening participants for enrollment into clinical trials.
METHOD METHODS
The project team consists of pharmaceutical industry, patient advocacy, governmental, and academic representatives. The current study utilized an additional aliquot of the same 130 plasma samples provided by ADNI that were previously tested on three immunoassays and three mass spectrometry-based assays. The statistical analysis plan was performed as published previously to determine if the measurement of plasma Aβ with age and APOE ε4 status performs better than age and APOE ε4 status alone in determining amyloid PET status.
RESULT RESULTS
In this sample cohort, the new automated immunoassay with age and APOE genotype had similar prediction of amyloid status compared to mass spectrometry-based assays, with an ROC AUC of 85.7 (95% CI: 79.1 - 92.4) for the immunoassay and 84.2 (95% CI: 77.0 - 91.3) for the best- performing mass spectrometry-based assay. The Spearman correlation of plasma Aβ42/40 with amyloid PET (florbetapir standardized uptake value ratio) for the new immunoassay was -0.567 (p < 0.001) compared to -0.536 (p < 0.001) for the best performing mass spectrometry-based assay. The new immunoassay significantly improved the prediction of amyloid positivity beyond age and APOE ε4 genotype (p = 0.003).
CONCLUSION CONCLUSIONS
Results from this comparative analysis together with the continued advancement in plasma assay technology identify a potential use for plasma Aβ42/40 measurement in addressing the amyloid component of the ATN framework. Further evaluation of plasma Aβ42/40 in addition to p-tau in plasma is planned using longitudinal samples to determine the ability of plasma biomarkers to detect amyloidosis.

Identifiants

pubmed: 39120573
doi: 10.1002/alz.082763
doi:

Substances chimiques

Amyloid beta-Peptides 0
Biomarkers 0
Apolipoprotein E4 0
Peptide Fragments 0
tau Proteins 0
amyloid beta-protein (1-42) 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e082763

Informations de copyright

© 2023 the Alzheimer's Association.

Auteurs

Stephen Zicha (S)

Takeda, Pharmaceutical Company Ltd., Cambridge, MA, USA.

Ziad S Saad (ZS)

Neuroscience Biomarkers, Janssen Research and Development LLC, San Diego, CA, USA.

Leslie M Shaw (LM)

Dept of Pathology & Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.

Anthony W Bannon (AW)

AbbVie Inc., North Chicago, IL, USA.

Carrie E Rubel (CE)

Biogen, Cambridge, MA, USA.

Suzanne E Schindler (SE)

Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.

Iwona Dobler (I)

Takeda, Pharmaceutical Company Ltd., Cambridge, MA, USA.

Lei Du-Cuny (L)

AbbVie Deutschland GmbH & Co KG, Ludwigshafen, BW, Germany.

Sarah F Giardina (SF)

Alzheimer's Drug Discovery Foundation, New York, NY, USA.

Hartmuth C Kolb (HC)

Neuroscience Biomarkers, Janssen Research and Development LLC, San Diego, CA, USA.

Emily A Meyers (EA)

Alzheimer's Association, Chicago, IL, USA.

Yulia Mordashova (Y)

AbbVie Deutschland GmbH & Co KG, Ludwigshafen, BW, Germany.

David L Raunig (DL)

Takeda, Pharmaceutical Company Ltd., Cambridge, MA, USA.

Erin G Rosenbaugh (EG)

Foundation for the National Institutes of Health, North Bethesda, MD, USA.

Christopher J Weber (CJ)

Alzheimer's Association, Chicago, IL, USA.

Hang Zhang (H)

Biogen, Cambridge, MA, USA.

Henrik Zetterberg (H)

University of Gothenburg, Mölndal, Sweden.

William Z Potter (WZ)

Highly qualified expert, Philadelphia, PA, USA.

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Classifications MeSH