Plasma-based diagnostic and screening platform using a combination of biosensing signals in Alzheimer's disease

Hye Jin Kim, Hongrae Kim, Dongsung Park, Dae Sung Yoon, Jin San Lee, Kyo Seon Hwang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Using biosensor to screen for Alzheimer's disease (AD) facilitates early detection of AD with high sensitivity and accuracy. This approach overcomes the limitations of conventional AD diagnostic methods, such as neuropsychological assessment and neuroimaging analysis. Here, we propose a simultaneous analysis of signal combinations generated by four crucial AD biomarkers (Amyloid beta 1–40 (Aβ40), Aβ42, total tau 441 (tTau441), and phosphorylated tau 181 (pTau181)) by inducing a dielectrophoretic (DEP) force on fabricated interdigitated microelectrode (IME) sensor. By applying an optimal DEP force, our biosensor selectively concentrates and filters the plasma-based AD biomarkers, exhibiting high sensitivity (limit of detection <100 fM) and selectivity in the plasma-based AD biomarkers detection (p < 0.0001). Consequently, it is demonstrated that a complex combined signal comprising four AD-specific biomarker signals (Aβ40 − Aβ42 + tTau441 − pTau181) can differentiate between patients with AD and healthy subjects with high accuracy (78.85%) and precision (80.95%) (p < 0.0001).

Original languageEnglish
Article number115246
JournalBiosensors and Bioelectronics
Volume230
DOIs
Publication statusPublished - 2023 Jun 15

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.

Keywords

  • Alzheimer's disease
  • Amyloid beta
  • Dielectrophoresis
  • Interdigitated microelectrode
  • Multiplexed detection
  • Tau

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

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