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- PMID: 32825153
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Article: Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling
Title | Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling |
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Authors | |
Keywords | Alzheimer’s disease (AD) microfluidic chips AD biomarkers blood–brain barrier (BBB) three-dimensional AD model |
Issue Date | 2020 |
Publisher | MDPI AG. The Journal's web site is located at http://www.mdpi.com/journal/micromachines |
Citation | Micromachines, 2020, v. 11 n. 9, p. article no. 787 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/290047 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.549 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, Y | - |
dc.contributor.author | Li, D | - |
dc.contributor.author | Zhao, P | - |
dc.contributor.author | Nandakumar, K | - |
dc.contributor.author | Wang, L | - |
dc.contributor.author | Song, Y | - |
dc.date.accessioned | 2020-10-22T08:21:20Z | - |
dc.date.available | 2020-10-22T08:21:20Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Micromachines, 2020, v. 11 n. 9, p. article no. 787 | - |
dc.identifier.issn | 2072-666X | - |
dc.identifier.uri | http://hdl.handle.net/10722/290047 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | MDPI AG. The Journal's web site is located at http://www.mdpi.com/journal/micromachines | - |
dc.relation.ispartof | Micromachines | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Alzheimer’s disease (AD) | - |
dc.subject | microfluidic chips | - |
dc.subject | AD biomarkers | - |
dc.subject | blood–brain barrier (BBB) | - |
dc.subject | three-dimensional AD model | - |
dc.title | Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling | - |
dc.type | Article | - |
dc.identifier.email | Wang, L: lqwang@hku.hk | - |
dc.identifier.email | Song, Y: songy@hku.hk | - |
dc.identifier.authority | Wang, L=rp00184 | - |
dc.identifier.authority | Song, Y=rp00488 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/mi11090787 | - |
dc.identifier.pmid | 32825153 | - |
dc.identifier.pmcid | PMC7569794 | - |
dc.identifier.scopus | eid_2-s2.0-85090402198 | - |
dc.identifier.hkuros | 316022 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | article no. 787 | - |
dc.identifier.epage | article no. 787 | - |
dc.identifier.isi | WOS:000581911600001 | - |
dc.publisher.place | Switzerland | - |
dc.identifier.issnl | 2072-666X | - |