Literature DB >> 18452319

Investigation of the mechanism of beta-amyloid fibril formation by kinetic and thermodynamic analyses.

Ming-Shen Lin1, Liang-Yu Chen, Hui-Ting Tsai, Steven S-S Wang, Yung Chang, Akon Higuchi, Wen-Yih Chen.   

Abstract

Extracellular beta-amyloid (A beta) deposit is considered as one of the primary factors that induce Alzheimer's disease (AD). The effects of various environmental factors, including temperature, ionic strength, and pH, on A beta (1-40) aggregation mechanisms were investigated in this study by spectrometry, isothermal titration calorimetry (ITC), and hydrophobic fluorescence assay. In the aggregation process, the secondary structure of A beta (1-40) transforms to the beta-sheet conformation, which could be described as a two-state model. As the temperature and ionic strength increase, the conformation of A beta converts to the beta-sheet structure with an increased rate. Results of circular dichroism monitoring demonstrate that the rate constant of nucleation is smaller than that of elongation, and the nucleation is the rate-determining step during the overall A beta aggregation. The beta-sheet structure was stabilized by hydrophobic forces, as revealed by the ITC measurements. The different structural aggregates and forming pathways could be identified and discriminated at high and low ionic strengths, resulting in distinctive fibril conformations. Furthermore, the thermodynamic analysis shows that hydrophobic interaction is the major driving force in the nucleation step. Our study provides an insight into the discriminative mechanisms of beta-amyloid aggregation via kinetics and thermodynamics, especially the first reported thermodynamics information obtained by ITC.

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Year:  2008        PMID: 18452319     DOI: 10.1021/la703369b

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  11 in total

1.  Amyloid-β (Aβ42) Peptide Aggregation Rate and Mechanism on Surfaces with Widely Varied Properties: Insights from Brownian Dynamics Simulations.

Authors:  Timothy Cholko; Joseph Barnum; Chia-En A Chang
Journal:  J Phys Chem B       Date:  2020-06-26       Impact factor: 2.991

2.  Hydration effects on the HET-s prion and amyloid-beta fibrillous aggregates, studied with three-dimensional molecular theory of solvation.

Authors:  Takeshi Yamazaki; Nikolay Blinov; David Wishart; Andriy Kovalenko
Journal:  Biophys J       Date:  2008-08-08       Impact factor: 4.033

3.  A robust preparation method for the amyloidogenic and intrinsically disordered amyloid-α peptide.

Authors:  Ariel J Kuhn; Jevgenij A Raskatov
Journal:  J Pept Sci       Date:  2022-05-06       Impact factor: 2.408

4.  Monomer Dynamics of Alzheimer Peptides and Kinetic Control of Early Aggregation in Alzheimer's Disease.

Authors:  Srabasti Acharya; Kinshuk R Srivastava; Sureshbabu Nagarajan; Lisa J Lapidus
Journal:  Chemphyschem       Date:  2016-09-15       Impact factor: 3.102

5.  A novel function for proSAAS as an amyloid anti-aggregant in Alzheimer's disease.

Authors:  Akina Hoshino; Michael Helwig; Sina Rezaei; Casey Berridge; Jason L Eriksen; Iris Lindberg
Journal:  J Neurochem       Date:  2013-10-24       Impact factor: 5.372

6.  Temperature dependence of Congo red binding to amyloid β12-28.

Authors:  Ruel E McKnight; Douglas R Jackson; Kazushige Yokoyama
Journal:  Eur Biophys J       Date:  2013-04-30       Impact factor: 1.733

7.  Nanoprobing of misfolding and interactions of amyloid β 42 protein.

Authors:  Bo-Hyun Kim; Yuri L Lyubchenko
Journal:  Nanomedicine       Date:  2013-12-10       Impact factor: 5.307

8.  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

9.  Soluble aggregates of the amyloid-beta peptide are trapped by serum albumin to enhance amyloid-beta activation of endothelial cells.

Authors:  Adriana A Reyes Barcelo; Francisco J Gonzalez-Velasquez; Melissa A Moss
Journal:  J Biol Eng       Date:  2009-04-27       Impact factor: 4.355

10.  Proposing a minimal set of metrics and methods to predict probabilities of amyloidosis disease and onset age in individuals.

Authors:  Richard S Criddle; Hsien-Jung L Lin; Isabella James; Ji Sun Park; Lee D Hansen; John C Price
Journal:  Aging (Albany NY)       Date:  2020-11-18       Impact factor: 5.682

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