Microfluidics-based systems in diagnosis of Alzheimer's disease and biomimetic modeling

Yan Li, Danni Li, Pei Zhao, Krishnaswamy Nandakumar, Liqiu Wang, Youqiang Song

Research output: Journal article publicationReview articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

Early detection and accurate diagnosis of Alzheimer's disease (AD) is essential for patient care and disease treatment. Microfluidic technology is emerging as an economical and versatile platform in disease detection and diagnosis. It can be conveniently integrated with nanotechnology and/or biological models for biomedical functional and pre-clinical treatment study. These strengths make it advantageous in disease biomarker detection and functional analysis against a wide range of biological backgrounds. This review highlights the recent developments and trends of microfluidic applications in AD research. The first part looks at the principles and methods for AD diagnostic biomarker detection and profiling. The second part discusses how microfluidic chips, especially organ-on-a-chip platforms, could be used as an independent approach and/or integrated with other technologies in AD biomimetic functional analysis.

Original languageEnglish
Article number787
JournalMicromachines
Volume11
Issue number9
DOIs
Publication statusPublished - Sept 2020
Externally publishedYes

Keywords

  • AD biomarkers
  • Alzheimer's disease (AD)
  • Blood-brain barrier (BBB)
  • Microfluidic chips
  • Three-dimensional AD model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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