Cited by 63Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsClinical Laboratory Practices and Quality Control

Chemically treated plasma Aβ is a potential blood-based biomarker for screening cerebral amyloid deposition

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Park, Jong-Chan, Han, Sun-Ho, Cho, Hyun Jin, Byun, Min Soo, Yi, Dahyun, Choe, Young Min, Kang, Seokjo, Jung, Eun Sun +5 more·2017·Alzheimer's Research & Therapy

Abstract

BACKGROUND: Plasma β-amyloid (Aβ) is a potential candidate for an Alzheimer's disease (AD) biomarker because blood is an easily accessible bio-fluid, which can be collected routinely, and Aβ is one of the major hallmarks of AD pathogenesis in the brain. However, the association between plasma Aβ levels and AD diagnosis is still unclear due to the instability and inaccurate measurements of plasma Aβ levels in the blood of patients with AD. If a consistent value of plasma Aβ from the blood can be obtained, this might help determine whether plasma Aβ is a potential biomarker for AD diagnosis. METHODS: We predicted the brain amyloid deposit by measuring the plasma Aβ levels. This cross-sectional study included 353 participants (215 cognitively normal, 79 with mild cognitive impairment, and 59 with AD dementia) who underwent Pittsburgh-compound B positron emission tomography (PiB-PET) scans. We treated a mixture of protease inhibitors and phosphatase inhibitors (MPP) and detected plasma Aβ42 and Aβ40 (MPP-Aβ42 and MPP-Aβ40) in a stable manner using xMAP technology. RESULTS: MPP-Aβ40 and MPP-Aβ42/40 (MPP-Aβs) were significantly different between subjects with positive amyloid deposition (PiB+) and those with negative amyloid deposition (PiB-) (P < 0.0001). Furthermore, MPP-Aβ40 (P < 0.0001, r = 0.23) and MPP-Aβ42/40 ratio (P < 0.0001, r = -0.23) showed significant correlation with global PiB deposition (standardized uptake value ratio). In addition, our integrated multivariable (MPP-Aβ42/40, gender, age, and apolipoprotein E genotypes) logistic regression model proposes a new standard for the prediction of cerebral amyloid deposition. CONCLUSIONS: MPP-Aβ might be one of the potential blood biomarkers for the prediction of PiB-PET positivity in the brain.

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  • Deep learning models have uncovered plasma proteomic and metabolomic signatures associated with amyloid burden, tau pathology, and cognitive resilience in presymptomatic individuals.

    “These models have uncovered plasma proteomic and metabolomic signatures associated with amyloid burden, tau pathology, and cognitive resilience in presymptomatic individuals372, 373, 374.”

    From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [372]

    The Results (‘MPP-Aβs reflect the pathological load of Aβ in the brain’; page not available) report an association between measured plasma Aβ and cerebral amyloid deposition, including data from cognitively normal participants. The paper does not report deep-learning discovery of proteomic or metabolomic signatures, or findings about tau pathology or cognitive resilience. (LLM, conf=0.88)

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Authors
Park, J.-C., Han, S.-H., Cho, H. J., Byun, M. S., Yi, D., Choe, Y. M., Kang, S., Jung, E. S., Won, S. J., Kim, E. H., Kim, Y. K., Lee, D. Y., & Mook-Jung, I.
Affiliations
  • Seoul National University (KR)
  • University of Ulsan (KR)
Corresponding author
Lee, Dong Young
Venue
Alzheimer's Research & Therapy
Published
2017-03-22
Volume
9
Issue
1
Pages
20-20
ISSN
1758-9193 (ISSN-L)
OpenAlex
W2599951549
Cited by
63
References
6
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 7 · 2021: 13 · 2020: 8 · 2019: 10 · 2018: 8 · 2017: 3
FWCI
6.52
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Alzheimer s Research & Therapy (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion)
Funders
  • National Research Foundation of Korea (2015R1A2A1A05001794, 2014M3C-7A1046047, 2011-0030738, 2014M3C7A1046042, 2015R1C1A2A01053545)
  • SNU medical school (800-20130066, 800-20130067)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
plasma amyloid-beta, blood biomarkers, Alzheimer's disease, cerebral amyloid deposition, Pittsburgh compound B PET, protease inhibitors, phosphatase inhibitors, Aβ42/Aβ40 ratio, mild cognitive impairment, APOE genotype
MeSH terms
Aged, Alzheimer Disease, Aniline Compounds, Brain, Cross-Sectional Studies, Female, Humans, Male, Peptide Fragments, Prospective Studies, Thiazoles, Biomarkers, Amyloid beta-Peptides, Radiopharmaceuticals, Positron-Emission Tomography, Plaque, Amyloid, Cognitive Dysfunction

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