Next Article in Journal
Research on the Application of MWCNTs/PLA Composite Material in the Manufacturing of Conductive Composite Products in 3D Printing
Previous Article in Journal
Nanoindentation and TEM to Study the Cavity Fate after Post-Irradiation Annealing of He Implanted EUROFER97 and EU-ODS EUROFER
Previous Article in Special Issue
The Use of Microfluidic Technology for Cancer Applications and Liquid Biopsy
Article Menu

Export Article

Open AccessReview
Micromachines 2018, 9(12), 634; https://doi.org/10.3390/mi9120634

Toward Exosome-Based Neuronal Diagnostic Devices

1
Department of Electrical Engineering, Kwangwoon University, 447-1 Wolgye, Nowon, Seoul 01897, Korea
2
Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02447, Korea
3
School of Biomedical Engineering, Korea University, Seoul 02841, Korea
These authors have equally contributed to this work.
*
Authors to whom correspondence should be addressed.
Received: 27 September 2018 / Revised: 16 November 2018 / Accepted: 22 November 2018 / Published: 29 November 2018
Full-Text   |   PDF [5003 KB, uploaded 29 November 2018]   |  

Abstract

Targeting exosome for liquid biopsy has gained significant attention for its diagnostic and therapeutic potential. For detecting neuronal disease diagnosis such as Alzheimer’s disease (AD), the main technique for identifying AD still relies on positron-emission tomography (PET) imaging to detect the presence of amyloid-β (Aβ). While the detection of Aβ in cerebrospinal fluid has also been suggested as a marker for AD, the lack of quantitative measurements has compromised existing assays. In cerebrospinal fluid, in addition to Aβ, T-Tau, and P-Tau, alpha-synuclein has been considered a biomarker of neurodegeneration. This review suggests that and explains how the exosome can be used as a neuronal diagnostic component. To this end, we summarize current progress in exosome preparation/isolation and quantification techniques and comment on the outlooks for neuronal exosome-based diagnostic techniques. View Full-Text
Keywords: Alzheimer’s disease; diagnostics; exosome; Parkinson’s disease Alzheimer’s disease; diagnostics; exosome; Parkinson’s disease
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Yoo, Y.K.; Lee, J.; Kim, H.; Hwang, K.S.; Yoon, D.S.; Lee, J.H. Toward Exosome-Based Neuronal Diagnostic Devices. Micromachines 2018, 9, 634.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Micromachines EISSN 2072-666X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top