Evidence map›Paper›PMID 39748849›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Plasma amyloid beta biomarkers predict amyloid positivity and longitudinal clinical progression in mild cognitive impairment.

Takuya Ataka, Noriyuki Kimura, Naoki Kaneko, Teruaki Masuda, Yosuke Takeuchi, Kenichi Yabuuchi, Takeshi Mizukami, Tsukasa Takeuchi, Temmei Ito, Hideaki Tasai and 4 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Takuya AtakaDepartment of Neurology Faculty of Medicine Oita University Oita Japan.
Noriyuki KimuraDepartment of Neurology Faculty of Medicine Oita University Oita Japan.ORCID https://orcid.org/0000-0001-7137-7268
Naoki KanekoKoichi Tanaka Mass Spectrometry Research Laboratory Shimadzu Corporation Kyoto Japan.
Teruaki MasudaDepartment of Neurology Faculty of Medicine Oita University Oita Japan.
Yosuke TakeuchiDepartment of Neurology Faculty of Medicine Oita University Oita Japan.
Kenichi YabuuchiDepartment of Neurology Faculty of Medicine Oita University Oita Japan.
Takeshi MizukamiDepartment of Neurology Faculty of Medicine Oita University Oita Japan.
Tsukasa TakeuchiKoichi Tanaka Mass Spectrometry Research Laboratory Shimadzu Corporation Kyoto Japan.
Temmei ItoEisai Co. Ltd. Tokyo Japan.
Hideaki TasaiEisai Co. Ltd. Tokyo Japan.
Takehiko MiyagawaEisai Co. Ltd. Tokyo Japan.
Shunya HanaiKoichi Tanaka Mass Spectrometry Research Laboratory Shimadzu Corporation Kyoto Japan.
Shinichi IwamotoKoichi Tanaka Mass Spectrometry Research Laboratory Shimadzu Corporation Kyoto Japan.
Etsuro MatsubaraDepartment of Neurology Faculty of Medicine Oita University Oita Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious studies have examined the predictive accuracy of plasma amyloid beta (Aβ) biomarkers in clinical cohorts. However, their accuracy for predicting amyloid-positive patients in community-based cohorts is unclear. This study aimed to determine the predictive accuracy of Aβ precursor protein 669-711/Aβ1-42, Aβ1-40/1-42 and their composite biomarkers for brain amyloid deposition or the clinical progression in community-dwelling older adults with mild cognitive impairment (MCI).

methodsThis prospective cohort study was conducted from August 2015 to September 2019. Subsequently, the participants underwent follow-up cognitive assessments up to 8 years after the start of the study. Blood samples were collected from older adults aged ≥ 65 years with MCI at baseline. Plasma Aβ biomarkers were analyzed using immunoprecipitation-mass spectrometry. The accuracy of plasma biomarkers for brain amyloid status was evaluated using receiver operating characteristic curve analysis. Relationships between comorbidities and plasma Aβ markers were examined using multiple linear regression analysis. Associations of plasma biomarkers with clinical conversion to Alzheimer's disease (AD) dementia were evaluated using Kaplan‒Meier curves.

resultsThe participants included 107 patients (57 [53.3%] females, median age: 76.0 [72.0-80.0] years). Plasma biomarkers correlated with cortical amyloid uptake ( DISCUSSION: Plasma Aβ composite biomarker may serve as a surrogate measure for amyloid deposition and a predictor of disease progression in a community-based cohort. Highlights: Plasma amyloid beta (Aβ) biomarkers correlated with 11C-Pittsburgh compound B uptake, mainly in the frontal/parietotemporal cortices and posterior cingulate gyrus.The amyloid composite biomarker can predict amyloid positron emission tomography positivity with a high area under the curve of 0.943 in a community-based mild cognitive impairment cohort.The higher amyloid composite biomarker at baseline was significantly associated with worsening Mini-Mental State Examination score and a high risk for developing Alzheimer's disease (AD) dementia over 8 years.The amyloid composite biomarker can predict clinical progression to AD dementia with a high area under the curve of 0.860.Apolipoprotein E ε4 status influenced the plasma Aβ biomarker levels.

Indexed as

Alzheimer's diseaseamyloidcomposite biomarkermild cognitive impairmentolder adult

Identifiers

PMID39748849
PMCPMC11694533

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.