Toward exosome-based neuronal diagnostic devices

Yong Kyoung Yoo, Junwoo Lee, Hyungsuk Kim, Kyo Seon Hwang, Dae Sung Yoon, Jeong Hoon Lee

Research output: Contribution to journalReview articlepeer-review

22 Citations (Scopus)

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.

Original languageEnglish
Article number634
JournalMicromachines
Volume9
Issue number12
DOIs
Publication statusPublished - 2018 Nov 29

Bibliographical note

Funding Information:
preconcentrating function, yields a 5‐fold increase in preconcentrating factors under blood ‐based 1.bioflMuaidttss o(ns,eMru.Pm.; P) e[d1e0r4s,e1n0,5W]..ABa.;sDeudano,nW .t;hCisu lmtescehen, iCqu.;eC, aomuarn dgorloau, Sp. Ciesl lnuloawr a ntrdyMinogl etcoulasrepMaercahtea naisnmds conUcenndterraltyei negxoPseormtuerbsesdimEunletragnyeMouestalyb.olism and Neuronal Degeneration in Alzheimer’s and Parkinson’s DRiseecaesenst. Astnund. iNe.s Y.hAacvaed . rSecpi.o1r9t9e9d, 8t9h3a, t1 5e4x–1o7s5o.m[Cerso sasrRee f]re[PlautbeMd etdo] neurodegenerative disorders; however, one current challenge for the application of exosomes is their isolation method. Nonetheless, exosome‐based neuronal diagnostic technologies have a huge potential in the development of clinical 3.devAlzheimerices. ’s Association. 2017 Alzheimer’s disease facts and figures. Alzheimer’s Dement. 2017, 13, 325–373. [CrossRef] Funding: This research was funded by the National Research Foundation of Korea, Grant (NRF ‐ 4. Liu, S.; Liu, S.; Cai, W.; Pujol, S.; Kikinis, R.; Feng, D. Early diagnosis of Alzheimer’s disease with deep 2018R1D1A1A09084044), National Research Foundation of Korea (NRF) and Korean Government (MSIP) (No. learning. In Proceedings of the 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), NRF ‐2016R1A2B4010269) . Beijing, China, 29 April–2 May 2014; pp. 1015–1018. 5. Small, G.W. Early diagnosis of Alzheimer’s disease: Update on combining genetic and brain-imaging measures. Dialogues Clin. Neurosci. 2000, 2, 241–246. [PubMed] 6.RefereMuencellers, S.G.; Weiner, M.W.; Thal, L.J.; Petersen, R.C.; Jack, C.R.; Jagust, W.; Trojanowski, J.Q.; Toga, A.W.;

Publisher Copyright:
© 2018 by the authors.

Keywords

  • Alzheimer's disease
  • Diagnostics
  • Exosome
  • Parkinson's disease

ASJC Scopus subject areas

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

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