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

被引:0
作者
Ataka, Takuya [1 ]
Kimura, Noriyuki [1 ]
Kaneko, Naoki [2 ]
Masuda, Teruaki [1 ]
Takeuchi, Yosuke [1 ]
Yabuuchi, Kenichi [1 ]
Mizukami, Takeshi [1 ]
Takeuchi, Tsukasa [2 ]
Ito, Temmei [3 ]
Tasai, Hideaki [3 ]
Miyagawa, Takehiko [3 ]
Hanai, Shunya [2 ]
Iwamoto, Shinichi [2 ]
Matsubara, Etsuro [1 ]
机构
[1] Oita Univ, Fac Med, Dept Neurol, 1-1 Idaigaoka, Yufu, Oita 8795593, Japan
[2] Shimadzu Co, Koichi Tanaka Mass Spectrometry Res Lab, Kyoto, Japan
[3] Eisai & Co Ltd, Tokyo, Japan
基金
日本学术振兴会;
关键词
amyloid; Alzheimer's disease; composite biomarker; mild cognitive impairment; older adult; ALZHEIMERS-DISEASE; DEMENTIA; PLAQUES; DECLINE; RISK; PET;
D O I
10.1002/trc2.70008
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
INTRODUCTION Previous studies have examined the predictive accuracy of plasma amyloid beta (A beta) 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 A beta precursor protein 669-711/A beta 1-42, A beta 1-40/1-42 and their composite biomarkers for brain amyloid deposition or the clinical progression in community-dwelling older adults with mild cognitive impairment (MCI). METHODS This 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 A beta 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 A beta 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. RESULTS The participants included 107 patients (57 [53.3%] females, median age: 76.0 [72.0-80.0] years). Plasma biomarkers correlated with cortical amyloid uptake (rho = 0.667-0.754). The composite biomarker had the best area under the curve (0.943, 95% confidence interval [CI]: 0.901 to 0.985) for predicting amyloid positivity. Apolipoprotein epsilon 4 status showed significant correlations with increased plasma amyloid biomarker levels. Participants with high composite biomarker levels at baseline had a greater risk of conversion to AD dementia (hazard ratio 10.74, 95% CI: 3.51 to 32.84, P < 0.001). The higher composite biomarker was associated with a faster rate of cognitive decline (rho = -0.575, P < 0.001). DISCUSSION Plasma A beta composite biomarker may serve as a surrogate measure for amyloid deposition and a predictor of disease progression in a community-based cohort.
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页数:11
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