Literature DB >> 19275225

High-throughput analysis of Alzheimer's beta-amyloid aggregation using a microfluidic self-assembly of monomers.

Joon Seok Lee1, Jungki Ryu, Chan Beum Park.   

Abstract

The principal histopathological feature of Alzheimer's disease is the presence of beta-amyloid (Abeta) aggregates in the gray matter of the brain, and researchers believe that various environmental factors play significant roles in the conformational change and self-assembly of Abeta peptides. Therefore, discovering a rapid and convenient analytical method of evaluating the environmental factors on Abeta aggregation would have a considerable impact. Herein we report our development of a novel microfluidic screening system enabling high-throughput analysis, low-consumption of reagents, and short analytical time. Microchannels with a cross-sectional dimension of 100 microm x 100 microm were immobilized with Abeta monomers via N-hydroxysuccinimide ester activation of the internal surfaces, and then a fresh Abeta monomer solution mixed with different small molecules or metal ions was continuously introduced into the microchannels to induce Abeta aggregation. In this work, we investigated (1) the temporal evolution of Abeta aggregation within microchannels, (2) the high-throughput screening of the inhibitory effect of 12 small molecules against Abeta aggregation, and (3) the effect of different metal ions (Fe(3+), Cu(2+), Zn(2+), and Al(3+)) on Abeta aggregation by using thioflavin T (ThT)-induced fluorescence microscopy and ex situ atomic force microscopy. The microfluidic system should contribute to a simultaneous analysis of multiple environmental factors affecting amyloid aggregates in a parallel manner and to screen therapeutic small molecules prior to their in vivo evaluation.

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Year:  2009        PMID: 19275225     DOI: 10.1021/ac802701z

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  Aβ(1-42) assembly in the presence of scyllo-inositol derivatives: identification of an oxime linkage as important for the development of assembly inhibitors.

Authors:  J E Shaw; J Chio; S Dasgupta; A Y Lai; G C H Mo; F Pang; L A M Thomason; A J Yang; C M Yip; M Nitz; J McLaurin
Journal:  ACS Chem Neurosci       Date:  2011-12-23       Impact factor: 4.418

2.  A Real-Time Sensing System for Monitoring Neural Network Degeneration in an Alzheimer's Disease-on-a-Chip Model.

Authors:  Nien-Che Liu; Chu-Chun Liang; Yi-Chen Ethan Li; I-Chi Lee
Journal:  Pharmaceutics       Date:  2022-05-09       Impact factor: 6.525

Review 3.  Revisiting lab-on-a-chip technology for drug discovery.

Authors:  Pavel Neuži; Stefan Giselbrecht; Kerstin Länge; Tony Jun Huang; Andreas Manz
Journal:  Nat Rev Drug Discov       Date:  2012-08       Impact factor: 84.694

4.  Monitoring insulin aggregation via capillary electrophoresis.

Authors:  Elizabeth Pryor; Joseph A Kotarek; Melissa A Moss; Christa N Hestekin
Journal:  Int J Mol Sci       Date:  2011-12-14       Impact factor: 5.923

Review 5.  Advanced Human BBB-on-a-Chip: A New Platform for Alzheimer's Disease Studies.

Authors:  Jeong-Kee Yoon; Jaehoon Kim; Zachary Shah; Ashi Awasthi; Advay Mahajan; YongTae Kim
Journal:  Adv Healthc Mater       Date:  2021-06-02       Impact factor: 11.092

6.  Systematic Investigation of Insulin Fibrillation on a Chip.

Authors:  Hoon Suk Rho; Henk-Willem Veltkamp; Alexander Thomas Hanke; Marcel Ottens; Christian Breukers; Pamela Habibović; Han Gardeniers
Journal:  Molecules       Date:  2020-03-18       Impact factor: 4.411

  6 in total

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