4.7 Article

A sensitive detection assay based on signal amplification technology for Alzheimer's disease's early biomarker in exosome

Journal

ANALYTICA CHIMICA ACTA
Volume 1022, Issue -, Pages 124-130

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2018.03.016

Keywords

A beta 42 oligomers; Exosome; ESDR; Signal amplification; Sensitive detection

Funding

  1. Training Plan for Youth Backbone Teachers of Colleges and Universities in Henan Province [2017GGJS010]
  2. National Natural Science Foundation of China [81402893]
  3. Key Scientific Research Project Plan of Colleges and Universities in Henan Province [17A350015]

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Alzheimer's disease (AD) considered as the third health killer has seriously threatened the health of the elderly. However, the modern diagnostic strategies of AD present several disadvantages: the low accuracy and specificity resulting in some false-negative diagnoses, and the poor sensitivity leading to a delayed treatment. In view of this situation, a enzyme-free and target-triggered signal amplification strategy, based on graphene oxide (GO) and entropy-driven strand displacement reaction (ESDR) principle, was proposed. In this strategy, when the hairpin structure probes (H)specially binds with betaamyloid-(1-42) oligomers (A beta 42 oligomers), it's structure will be opened, causing the bases complementary to FAM-labeled replacement probes R (R1 and R2) exposed. At this time, R1 and R2 will hybridize with H, resulting in the bound A beta 42 oligomers released. The released A beta 42 oligomers would participate in the next cycle reaction, making the signal amplified. As a quencher, GO could absorb the free single-stranded DNA R1 and R2 and quench their fluorescence; however, the DNA duplex still exists free and keeps its signal-on. Through the detection of A beta 42 oligomers in exosomes, this ultrasensitive detection method with the advantages of low limit of detection (LOD, 20 pM), great accuracy, excellent precision and convenience provides an excellent prospect for AD's early diagnosis. (C) 2018 Elsevier B.V. All rights reserved.

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