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Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling

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 biologi...

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Autores principales: Li, Yan, Li, Danni, Zhao, Pei, Nandakumar, Krishnaswamy, Wang, Liqiu, Song, Youqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569794/
https://www.ncbi.nlm.nih.gov/pubmed/32825153
http://dx.doi.org/10.3390/mi11090787
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author Li, Yan
Li, Danni
Zhao, Pei
Nandakumar, Krishnaswamy
Wang, Liqiu
Song, Youqiang
author_facet Li, Yan
Li, Danni
Zhao, Pei
Nandakumar, Krishnaswamy
Wang, Liqiu
Song, Youqiang
author_sort Li, Yan
collection PubMed
description 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.
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spelling pubmed-75697942020-10-27 Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling Li, Yan Li, Danni Zhao, Pei Nandakumar, Krishnaswamy Wang, Liqiu Song, Youqiang Micromachines (Basel) Review 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. MDPI 2020-08-19 /pmc/articles/PMC7569794/ /pubmed/32825153 http://dx.doi.org/10.3390/mi11090787 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Li, Yan
Li, Danni
Zhao, Pei
Nandakumar, Krishnaswamy
Wang, Liqiu
Song, Youqiang
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
title_full Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling
title_fullStr Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling
title_full_unstemmed Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling
title_short Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling
title_sort microfluidics-based systems in diagnosis of alzheimer’s disease and biomimetic modeling
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569794/
https://www.ncbi.nlm.nih.gov/pubmed/32825153
http://dx.doi.org/10.3390/mi11090787
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