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Screening for cerebral amyloid angiopathy based on serological biomarkers analysis using a dielectrophoretic force-driven biosensor platform

Lab on a Chip, ISSN: 1473-0189, Vol: 21, Issue: 23, Page: 4557-4565
2021
  • 8
    Citations
  • 0
    Usage
  • 14
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    8
  • Captures
    14
  • Mentions
    1
    • News Mentions
      1
      • 1

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Screening for cerebral amyloid angiopathy based on serological biomarkers analysis using a dielectrophoretic force-driven biosensor platform.

Lab Chip. 2021 Nov 1; Authors: Kim HJ, Park D, Yun G, Kim H, Kim HG, Lee KM, Hong IK, Park KC, Lee JS, Hwang KS PubMed: 34724019 Submit Comment

Article Description

We aimed to analyze plasma amyloid-β (Aβ)1-40 and Aβ1-42 using a highly sensitive dielectrophoretic-driven biosensor platform to demonstrate the possibility of precise cerebral amyloid angiopathy (CAA) diagnosis in participants classified according to Aβ-positron emission tomography (PET) positivity and the neuroimaging criteria for CAA. We prospectively recruited 25 people with non-Alzheimer's disease (non-AD) and 19 patients with Alzheimer's disease (AD), which were further classified into the CAA- and CAA+ (possible and probable CAA) groups according to the modified Boston criteria. Patients underwent plasma Aβ analysis using a highly sensitive nano-biosensor platform, Aβ-PET scanning, and detailed neuropsychological testing. As a result, the average signal levels of Aβ1-42/1-40 differed significantly between the non-AD and AD groups, and the CAA+ group exhibited significantly higher Aβ1-40 signal levels than the CAA- group in both non-AD and AD groups. The concordance between the Aβ1-40 signal level and the neuroimaging criteria for CAA was nearly perfect, with areas under the curve of 0.954 (95% confidence interval (CI) 0.856-1.000), 0.969 (0.894-1.000), 0.867 (0.648-1.000), and 1.000 (1.000-1.000) in the non-AD/CAA- vs. non-AD/possible CAA, non-AD/CAA- vs. non-AD/probable CAA, AD/CAA- vs. AD/possible CAA, and AD/CAA- vs. AD/probable CAA groups, respectively. Higher Aβ1-40 signal levels were significantly associated with the presence of CAA according to regression analyses, and the neuroimaging pattern analysis partly supported this result. Our findings suggest that measuring plasma Aβ1-40 signal levels using a highly sensitive biosensor platform could be a useful non-invasive CAA diagnostic method. This journal is

Bibliographic Details

Kim, Hye Jin; Park, Dongsung; Yun, Gyihyaon; Kim, Hongrae; Kim, Hyug-Gi; Lee, Kyung Mi; Hong, Il Ki; Park, Key-Chung; Lee, Jin San; Hwang, Kyo Seon

Royal Society of Chemistry (RSC)

Chemical Engineering; Biochemistry, Genetics and Molecular Biology; Chemistry; Engineering

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