Plasma Levels of Aβ42 and Tau Identified Probable Alzheimer’s Dementia: Findings in Two Cohorts
Open accessAbstract
The utility of plasma amyloid beta (Abeta) and tau levels for the clinical diagnosis of Alzheimer’s disease (AD) dementia has been controversial. The main objective of this study was to compare Abeta42 and tau levels measured by the ultra-sensitive immunomagnetic reduction (IMR) assays in plasma samples collected at the Banner Sun Health Institute (BSHRI) (USA) with those from the National Taiwan University Hospital (NTUH) (Taiwan). Significant increase in tau levels were detected in AD subjects from both cohorts, while Abeta42 levels were increased only in the NTUH cohort. A regression model incorporating age showed that tau levels identified probable ADs with 81% and 96% accuracy in the BSHRI and NTUH cohorts respectively, while computed products of Abeta42 and tau increased the accuracy to 84% in the BSHRI cohorts. Using 382.68 (pg/ml)2 as the cut-off value, the product achieved 92% accuracy in identifying AD in the combined cohorts. Overall findings support that plasma Abeta42 and tau assayed by IMR technology can be used to assist in the clinical diagnosis of AD.
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The present Elecsys assays produced among the best accuracies and are the first fully automated assays to have these greater accuracies.
“Although previous studies have found associations between CSF and PET Aβ and plasma Aβ using different immunoassays,7,12,13,14,44,45 the present Elecsys assays produced among the best accuracies and they are the first fully automated assays to have these greater accuracies.”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [14]
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- Authors
- Lue, L.-F., Sabbagh, M. N., Chiu, M.-J., Jing, N., Snyder, N. L., Schmitz, C., Guerra, A., Belden, C. M., Chen, T.-F., Yang, C.-C., Yang, S.-Y., Walker, D. G., Chen, K., & Reiman, E. M.
- Affiliations
- Banner Sun Health Research Institute (US)
- National Taiwan University (TW)
- University of California, Berkeley (US)
- Banner Alzheimer’s Institute (US)
- Arizona State University (US)
- Translational Genomics Research Institute (US)
- Corresponding author
- Lue, Lih-Fen
- ORCID
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2017-07-24
- Volume
- 9
- Pages
- 226-226
- ISSN
- 1663-4365 (ISSN-L)
- PMC
- PMC5522888
- OpenAlex
- W2737741164
- Cited by
- 105
- References
- 3
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 7 · 2023: 8 · 2022: 16 · 2021: 17 · 2020: 17 · 2019: 19 · 2018: 4 · 2017: 3
- FWCI
- 9.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Aging Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Arizona State University Library Digital Repository (Arizona State University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Arizona Department of Health Services
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Keywords
- Alzheimer's disease, plasma tau, biomarkers, diagnostic accuracy, cut-off values, dementia diagnosis, cross-cohort validation
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