Your browser doesn't support javascript.
loading
Toward Exosome-Based Neuronal Diagnostic Devices.
Yoo, Yong Kyoung; Lee, Junwoo; Kim, Hyungsuk; Hwang, Kyo Seon; Yoon, Dae Sung; Lee, Jeong Hoon.
Afiliación
  • Yoo YK; Department of Electrical Engineering, Kwangwoon University, 447-1 Wolgye, Nowon, Seoul 01897, Korea. yongkyoung0108@gmail.com.
  • Lee J; Department of Electrical Engineering, Kwangwoon University, 447-1 Wolgye, Nowon, Seoul 01897, Korea. mindsjw@gmail.com.
  • Kim H; Department of Electrical Engineering, Kwangwoon University, 447-1 Wolgye, Nowon, Seoul 01897, Korea. hskim@kw.ac.kr.
  • Hwang KS; Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02447, Korea. k.hwang@khu.ac.kr.
  • Yoon DS; School of Biomedical Engineering, Korea University, Seoul 02841, Korea. dsyoon@korea.ac.kr.
  • Lee JH; Department of Electrical Engineering, Kwangwoon University, 447-1 Wolgye, Nowon, Seoul 01897, Korea. jhlee@kw.ac.kr.
Micromachines (Basel) ; 9(12)2018 Nov 29.
Article en En | MEDLINE | ID: mdl-30501125
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-ß (Aß). While the detection of Aß 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 Aß, 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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2018 Tipo del documento: Article