Abstract
Introduction: This report details the approach taken to providing a dataset allowing for analyses on the performance of recently developed assays of amyloid beta (Aβ) peptides in plasma and the extent to which they improve the prediction of amyloid positivity. Methods: Alzheimer's Disease Neuroimaging Initiative plasma samples with corresponding amyloid positron emission tomography (PET) data were run on six plasma Aβ assays. Statistical tests were performed to determine whether the plasma Aβ measures significantly improved the area under the receiver operating characteristic curve for predicting amyloid PET status compared to age and apolipoprotein E (APOE) genotype. Results: The age and APOE genotype model predicted amyloid status with an area under the curve (AUC) of 0.75. Three assays improved AUCs to 0.81, 0.81, and 0.84 (P <.05, uncorrected for multiple comparisons). Discussion: Measurement of Aβ in plasma contributes to addressing the amyloid component of the ATN (amyloid/tau/neurodegeneration) framework and could be a first step before or in place of a PET or cerebrospinal fluid screening study. Highlights: The Foundation of the National Institutes of Health Biomarkers Consortium evaluated six plasma amyloid beta (Aβ) assays using Alzheimer's Disease Neuroimaging Initiative samples. Three assays improved prediction of amyloid status over age and apolipoprotein E (APOE) genotype. Plasma Aβ42/40 predicted amyloid positron emission tomography status better than Aβ42 or Aβ40 alone.
Original language | English |
---|---|
Pages (from-to) | 956-966 |
Number of pages | 11 |
Journal | Alzheimer's and Dementia |
Volume | 19 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2023 |
Keywords
- Alzheimer's Disease Neuroimaging Initiative
- Alzheimer's disease
- amyloid
- amyloid beta 40
- amyloid beta 42
- amyloid positron emission tomography
- amyloid prediction
- biomarkers
- plasma
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In: Alzheimer's and Dementia, Vol. 19, No. 3, 03.2023, p. 956-966.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Comparative analytical performance of multiple plasma Aβ42 and Aβ40 assays and their ability to predict positron emission tomography amyloid positivity
AU - Alzheimer’s Disease Neuroimaging Initiative (ADNI)
AU - Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium Plasma Aβ as a Predictor of Amyloid Positivity in Alzheimer's Disease Project Team
AU - Zicha, Stephen
AU - Bateman, Randall J.
AU - Shaw, Leslie M.
AU - Zetterberg, Henrik
AU - Bannon, Anthony W.
AU - Horton, Wesley A.
AU - Baratta, Mike
AU - Kolb, Hartmuth C.
AU - Dobler, Iwona
AU - Mordashova, Yulia
AU - Saad, Ziad S.
AU - Raunig, David L.
AU - Spanakis, Emmanouil
AU - Li, Yan
AU - Schindler, Suzanne E.
AU - Ferber, Kyle
AU - Rubel, Carrie E.
AU - Martone, Robert L.
AU - Weber, Christopher J.
AU - Edelmayer, Rebecca M.
AU - Meyers, Emily A.
AU - Bollinger, James G.
AU - Rosenbaugh, Erin G.
AU - Potter, William Z.
N1 - Funding Information: The results of the study represent the work of the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium “Biomarkers Consortium, Plasma Aβ as a predictor of amyloid positivity in Alzheimer's Disease” (Plasma Aβ) project. The study was made possible through the scientific and financial support of government, industry, and academia partners. We are grateful for the contributions of the following Biomarkers Consortium Plasma Aβ Project team members and collaborators: Anthony Bannon (AbbVie), Mike Baratta (Takeda), Randall Bateman (Washington University at Saint Louis), Heidi Blythe (FNIH), Nicole Bjorklund (formerly at Alzheimer's Drug Discovery Foundation), Jeff Dage (Indiana University), Iwona Dobler (Takeda), Rebecca Edelmeyer (Alzheimer's Association), Kyle Ferber (Biogen), Howard Fillit (Alzheimer's Drug Discovery Foundation), Wesley Horton (FNIH), John Hsiao (NIA), Hartmuth Kolb (Janssen), Robert Martone (Biogen), William Potter, Kristina Malzbender (Gates Ventures), Emily Meyers (Alzheimer's Association), Yulia Mordashova (AbbVie), Eliezer Masliah (NIA), Maria Quinton (Takeda), Dave Raunig (Takeda), Erin Rosenbaugh (FNIH), Carrie Rubel (Biogen), Lynne Rueter (AbbVie), Laurie Ryan (NIA), Ziad Saad (Janssen), Leslie Shaw (University of Pennsylvania), Manos Spanakis (formerly at AbbVie), Wenting Wang (formerly at Biogen), Christopher Weber (Alzheimer's Association), Henrik Zetterberg (University of Gothenburg), Stephen Zicha (Takeda). Private funding partners of the project include AbbVie Inc.; Alzheimer's Association®; Diagnostics Accelerator at the Alzheimer's Drug Discovery Foundation; Biogen MA Inc.; Janssen Research & Development, LLC; and Takeda Pharmaceutical Company Limited. Private‐sector funding for the study was managed by the Foundation for the National Institutes of Health. We would additionally like to acknowledge ADNI for the plasma samples and data analyzed in this study. Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). The ADNI was launched in 2003 as a public–private partnership, led by Principal Investigator Michael W. Weiner, M.D. The primary goal of the ADNI has been to test whether serial magnetic resonance imaging (MRI), positron emission tomography (PET), other biological markers, and clinical and neuropsychological assessment can be combined to measure the progression of MCI and early Alzheimer's disease. For up‐to‐date information, see www.adni‐info.org . Data collection and sharing for this project were funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI; National Institutes of Health Grant U19 AG024904) and DOD ADNI (Department of Defense award number W81XWH‐12‐2‐0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie; Alzheimer's Association; Alzheimer's DrugDiscovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol‐Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann‐La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC; Johnson & Johnson Pharmaceutical Research & Development LLC; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company Limited; and Transition Therapeutics. The Canadian Institutes of Health Research provides funds to support ADNI clinical sites in Canada. Private‐sector contributions are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for NeuroImaging (LONI) at the University of Southern California. The Biomarkers Consortium, Plasma Aβ as a Predictor of Amyloid Positivity in Alzheimer's Disease Project was made possible through a public–private partnership managed by the Foundation for the National Institute of Health (FNIH) and funded by AbbVie Inc.; Alzheimer's Association®; Diagnostics Accelerator at the Alzheimer's Drug Discovery Foundation; Biogen MA Inc.; Janssen Research & Development, LLC; and Takeda Pharmaceutical Company Limited. Funding Information: W.A. Horton, Y. Li, R. L. Martone, and E. G. Rosenbaugh have nothing to declare. S. Zicha, M. Baratta, I. Dobler, and D. Raunig receive salary and company stock as compensation for their employment with Takeda Pharmaceutical Company Limited. Washington University and Randall J. Bateman (RJB) have equity ownership interest in C2N Diagnostics and receive income based on technology (blood plasma assay) licensed by Washington University to Diagnostics. RJB receives income from C2N Diagnostics for serving on the scientific advisory board. Washington University, with RJB as co‐inventor, has submitted the US nonprovisional patent application “Plasma Based Methods for Determining A‐Beta Amyloidosis.” RJB has received honoraria as a speaker/consultant/advisory board member from Amgen, Eisai, Hoffman‐LaRoche, and Janssen; and reimbursement of travel expenses from Hoffman‐La Roche and Janssen. L. M. Shaw receives research support from NIH/NIA U19 AG024904, ADNI3 grant; NIH/NIA P30 AG010124, UPENN ADCC grant; and the Michael J. Fox Foundation for Parkinson's Research. He is a consultant for Biogen and Roche Diagnostics and is on the speaker's bureaus for Biogen and Fujirebio. H. Zetterberg has served at scientific advisory boards and/or as a consultant for Abbvie, Alector, Annexon, Artery Therapeutics, AZTherapies, CogRx, Denali, Eisai, Nervgen, Novo Nordisk, Pinteon Therapeutics, Red Abbey Labs, Passage Bio, Roche, Samumed, Siemens Healthineers, Triplet Therapeutics, and Wave; has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure, Biogen, and Roche; and is a co‐founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). W.Z. Potter was previously employed by the National Institute of Mental Health, and he is a stockholder in Merck & Co., Inc. He is a Co‐Chair Emeritus for the FNIH Biomarkers Consortium Neuroscience Steering Committee. Currently residing in Philadelphia, PA, he serves on DSMBs for AgeneBio and Regenacy and as a consultant for Karuna, Otsuka, Neurocrine, Eliem, and Emerald Lake Safety. Additionally, he receives grant support from the NIA. T. W. Bannon receives salary and company stock as compensation for his employment with AbbVie Inc. Y. Mordashova is employed by AbbVie Deutschland GmbH & Co. KG and may own AbbVie stock or stock options. Z. S. Saad is employed by Janssen Pharmaceuticals and may hold stock or stock options. S. Schindler has analyzed data from C2N Diagnostics that was provided to Washington University at no cost. Washington University has a financial interest in C2N Diagnostics. S. E. Schindler has not directly received any research or personal compensation from C2N Diagnostics. K. Ferber and C. E. Rubel receive salary and company stock as compensation for their employment with Biogen. J. G. Bollinger has a provisional patent application for “Plasma Based Methods for Detecting CNS Amyloid Deposition (provisional)” 2) US Patent for “Novel reagents for detection of carboxylic acids by mass spectrometry.” C. J. Weber, R. M. Edelmayer, and E. A. Meyers are employed by Alzheimer's Association. E. Spanakis was previously employed by AbbVie Deutschland GmbH & Co KG. R. L. Martone was previously employed by Biogen. Author disclosures are available in the supporting information. Publisher Copyright: © 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
PY - 2023/3
Y1 - 2023/3
N2 - Introduction: This report details the approach taken to providing a dataset allowing for analyses on the performance of recently developed assays of amyloid beta (Aβ) peptides in plasma and the extent to which they improve the prediction of amyloid positivity. Methods: Alzheimer's Disease Neuroimaging Initiative plasma samples with corresponding amyloid positron emission tomography (PET) data were run on six plasma Aβ assays. Statistical tests were performed to determine whether the plasma Aβ measures significantly improved the area under the receiver operating characteristic curve for predicting amyloid PET status compared to age and apolipoprotein E (APOE) genotype. Results: The age and APOE genotype model predicted amyloid status with an area under the curve (AUC) of 0.75. Three assays improved AUCs to 0.81, 0.81, and 0.84 (P <.05, uncorrected for multiple comparisons). Discussion: Measurement of Aβ in plasma contributes to addressing the amyloid component of the ATN (amyloid/tau/neurodegeneration) framework and could be a first step before or in place of a PET or cerebrospinal fluid screening study. Highlights: The Foundation of the National Institutes of Health Biomarkers Consortium evaluated six plasma amyloid beta (Aβ) assays using Alzheimer's Disease Neuroimaging Initiative samples. Three assays improved prediction of amyloid status over age and apolipoprotein E (APOE) genotype. Plasma Aβ42/40 predicted amyloid positron emission tomography status better than Aβ42 or Aβ40 alone.
AB - Introduction: This report details the approach taken to providing a dataset allowing for analyses on the performance of recently developed assays of amyloid beta (Aβ) peptides in plasma and the extent to which they improve the prediction of amyloid positivity. Methods: Alzheimer's Disease Neuroimaging Initiative plasma samples with corresponding amyloid positron emission tomography (PET) data were run on six plasma Aβ assays. Statistical tests were performed to determine whether the plasma Aβ measures significantly improved the area under the receiver operating characteristic curve for predicting amyloid PET status compared to age and apolipoprotein E (APOE) genotype. Results: The age and APOE genotype model predicted amyloid status with an area under the curve (AUC) of 0.75. Three assays improved AUCs to 0.81, 0.81, and 0.84 (P <.05, uncorrected for multiple comparisons). Discussion: Measurement of Aβ in plasma contributes to addressing the amyloid component of the ATN (amyloid/tau/neurodegeneration) framework and could be a first step before or in place of a PET or cerebrospinal fluid screening study. Highlights: The Foundation of the National Institutes of Health Biomarkers Consortium evaluated six plasma amyloid beta (Aβ) assays using Alzheimer's Disease Neuroimaging Initiative samples. Three assays improved prediction of amyloid status over age and apolipoprotein E (APOE) genotype. Plasma Aβ42/40 predicted amyloid positron emission tomography status better than Aβ42 or Aβ40 alone.
KW - Alzheimer's Disease Neuroimaging Initiative
KW - Alzheimer's disease
KW - amyloid
KW - amyloid beta 40
KW - amyloid beta 42
KW - amyloid positron emission tomography
KW - amyloid prediction
KW - biomarkers
KW - plasma
UR - http://www.scopus.com/inward/record.url?scp=85133904406&partnerID=8YFLogxK
U2 - 10.1002/alz.12697
DO - 10.1002/alz.12697
M3 - Article
C2 - 35820077
AN - SCOPUS:85133904406
SN - 1552-5260
VL - 19
SP - 956
EP - 966
JO - Alzheimer's and Dementia
JF - Alzheimer's and Dementia
IS - 3
ER -