Volume 17, Issue S5 e055504
BIOMARKERS
Free Access

Comparative analytical performance of multiple plasma amyloid-beta assays and their relationship to amyloid PET

Stephen Zicha

Corresponding Author

Stephen Zicha

Takeda Pharmaceuticals International, Cambridge, MA, USA

Correspondence

Stephen Zicha, Takeda Pharmaceuticals International, Cambridge, MA, USA.

Email: [email protected]

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Randall J. Bateman

Randall J. Bateman

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

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Leslie M. Shaw

Leslie M. Shaw

Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

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Anthony W. Bannon

Anthony W. Bannon

AbbVie, North Chicago, IL, USA

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Henrik Zetterberg

Henrik Zetterberg

Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden

Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden

UK Dementia Research Institute Fluid Biomarkers Laboratory, UK DRI at UCL, London, United Kingdom

Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, United Kingdom

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Wesley A. Horton

Wesley A. Horton

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

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Michael Baratta

Michael Baratta

Takeda Pharmaceuticals International, Cambridge, MA, USA

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Hartmuth C. Kolb

Hartmuth C. Kolb

Janssen Research and Development LLC, San Diego, CA, USA

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Iwona Dobler

Iwona Dobler

Takeda Pharmaceuticals International, Cambridge, MA, USA

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Emmanouil (Manos) Spanakis

Emmanouil (Manos) Spanakis

AbbVie Deutschland GmbH & Co KG, Ludwigshafen, Germany

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Wenting Wang

Wenting Wang

Biogen, Cambridge, MA, USA

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David L. Raunig

David L. Raunig

Takeda Pharmaceuticals International, New Hope, PA, USA

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Ziad S. Saad

Ziad S. Saad

Janssen Research and Development LLC, San Diego, CA, USA

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Yulia Mordashova

Yulia Mordashova

AbbVie Deutschland GmbH & Co KG, Ludwigshafen, Germany

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Yan Li

Yan Li

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

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Nicole L. Bjorklund

Nicole L. Bjorklund

Alzheimer’s Drug Discovery Foundation, New York, NY, USA

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Rebecca M. Edelmayer

Rebecca M. Edelmayer

Alzheimer's Association, Chicago, IL, USA

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Robert L. Martone

Robert L. Martone

Biogen, Cambridge, MA, USA

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Carrie E. Rubel

Carrie E. Rubel

Biogen, Cambridge, MA, USA

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Kwasi G. Mawuenyega

Kwasi G. Mawuenyega

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

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James G. Bollinger

James G. Bollinger

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

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Christopher J. Weber

Christopher J. Weber

Alzheimer's Association, Chicago, IL, USA

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Emily A. Meyers

Emily A. Meyers

Alzheimer's Association, Chicago, IL, USA

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William Z. Potter

William Z. Potter

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

National Institute of Mental Health, Bethesda, MD, USA

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BC-NSC Plasma Abeta Project Team

BC-NSC Plasma Abeta Project Team

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First published: 31 December 2021
Citations: 1

Abstract

Background

The National Institute on Aging and the Alzheimer’s Association framework for classifying Alzheimer’s disease (AD) utilizes measures of pathology for amyloid, tau, and neurodegeneration (ATN), that can identify participants for clinical trials. Currently, amyloid pathology is determined by costly PET or invasive CSF measurements. When applied to participant selection, these measures are associated with high screen failure rates and contribute to the high costs and long duration of recruitment of AD clinical trials. Recent reports indicate plasma amyloid beta (Aβ) peptides correlate highly with PET and CSF amyloid measures. This study aims to characterize novel assays as a screening tool that can quantify plasma Aβ peptides in a robust and reproducible manner.

Method

The project team consists of representatives from pharmaceutical industry, nonprofit/patient advocacy, and academic institutions. Six plasma Aβ assays were selected to be part of the comparison: three liquid chromatography–mass spectrometry (LC-MS/MS) assays and three immunoassays. Plasma samples with corresponding amyloid PET data were selected from ADNI n=130 (50% Aβ+): cognitively normal n=54 (37% Aβ+), mild cognitive impairment n=54 (46% Aβ+), and AD n=22 (91% Aβ+). Each participant’s sample was tested in a blinded fashion on all six assays with analytical controls. Statistical tests were performed to identify which assays can significantly improve the Area Under the Receiver Operating Characteristic (AUROC) curve for predicting amyloid PET status compared to age and APOE ε4 status alone.

Result

The project tested 130 samples across assays with comparison to amyloid PET. Initial results from assay providers show AUROCs to predict amyloid status at levels consistent with performance in earlier publications. A comparison of results for the various assays will be presented with respect to their ability to classify amyloid PET status and whether they add significantly to the prediction of amyloid positivity beyond age and genotype.

Conclusion

Measurement of Aβ in plasma contributes to addressing the amyloid component of the ATN framework and can be a pre-screen or a substitute for PET or CSF screening. Further clinical validation of these assays is planned to assess amyloidosis detection performance in a cognitively normal population.