Literature DB >> 21769359

Structural, morphological, and kinetic studies of β-amyloid peptide aggregation on self-assembled monolayers.

Qiuming Wang1, Nilam Shah, Jun Zhao, Chengshan Wang, Chao Zhao, Lingyun Liu, Lingyan Li, Feimeng Zhou, Jie Zheng.   

Abstract

The misfolding and aggregation of β-amyloid peptides (Aβ) into amyloid fibrils, a process that has been pathologically linked to the onset of Alzheimer's disease, is dependent on the presence of a heterogeneous surface (e.g., cell membrane). Understanding of the kinetics of amyloid fibril formation and associated structural transition from monomers to intermediates and eventually to fibrils is critical for the development of viable therapeutic agents. In this work, using circular dichroism (CD), atomic force microscopy (AFM), surface plasmon resonance (SPR), and molecular dynamics (MD) simulations, we studied the adsorption, aggregation, and conformational changes of Aβ(1-42) from fresh monomers to fully grown fibrils on four model self-assembled monolayers (SAMs): hydrophobic CH(3)-terminated SAM, hydrophilic OH-terminated SAM, negatively charged COOH-terminated SAMs, and positively charged NH(2)-terminated SAM. The seeding effect of Aβ(1-42) on the kinetics of Aβ aggregation on different SAMs is also examined. The CD, AFM, and SPR data show that all of these SAMs greatly accelerate the formation of β-sheets and amyloid fibrils through surface-enhanced interactions, but Aβ(1-42) peptides preferentially adsorb on a hydrophobic CH(3)-SAM and a positively charged NH(2)-SAM with much stronger interactions than on a hydrophilic OH-SAM and a negatively charged COOH-SAM. MD simulations further reveal that hydrophobic interactions present a general driving force for Aβ adsorption on all SAMs. As Aβ aggregates grow into larger species by packing hydrophobic C-terminals to form a hydrophobic core while exposing hydrophilic and negatively charged N-terminals to solution, electrostatic interactions become more strengthened when they interact with the SAMs especially for the COOH-SAM and the NH(2)-SAM. Thus, both hydrophobic and electrostatic interactions contribute differently to different Aβ-SAM systems and to different aggregation stages. A postulated mechanism is proposed to describe the structure and kinetics of Aβ aggregation from aqueous solution to the SAMs, providing valuable insights into Aβ aggregation on biological cell membranes. This journal is © the Owner Societies 2011

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Year:  2011        PMID: 21769359     DOI: 10.1039/c1cp21156k

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  17 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.  A Protocol for the Design of Protein and Peptide Nanostructure Self-Assemblies Exploiting Synthetic Amino Acids.

Authors:  Nurit Haspel; Jie Zheng; Carlos Aleman; David Zanuy; Ruth Nussinov
Journal:  Methods Mol Biol       Date:  2017

3.  Molecular interactions of Alzheimer amyloid-β oligomers with neutral and negatively charged lipid bilayers.

Authors:  Xiang Yu; Qiuming Wang; Qingfen Pan; Feimeng Zhou; Jie Zheng
Journal:  Phys Chem Chem Phys       Date:  2013-03-14       Impact factor: 3.676

4.  Capillary electrophoresis for the analysis of the effect of sample preparation on early stages of Aβ1-40 aggregation.

Authors:  N Elizabeth Pryor; Melissa A Moss; Christa N Hestekin
Journal:  Electrophoresis       Date:  2014-06-05       Impact factor: 3.535

5.  Tanshinones inhibit amyloid aggregation by amyloid-β peptide, disaggregate amyloid fibrils, and protect cultured cells.

Authors:  Qiuming Wang; Xiang Yu; Kunal Patal; Rundong Hu; Steven Chuang; Ge Zhang; Jie Zheng
Journal:  ACS Chem Neurosci       Date:  2013-03-29       Impact factor: 4.418

6.  Field amplified sample stacking of amyloid beta (1-42) oligomers using capillary electrophoresis.

Authors:  Sadia Paracha; Christa Hestekin
Journal:  Biomicrofluidics       Date:  2016-06-15       Impact factor: 2.800

Review 7.  Role of membrane biophysics in Alzheimer's-related cell pathways.

Authors:  Donghui Zhu; Brittani L Bungart; Xiaoguang Yang; Zhaxybay Zhumadilov; James C-M Lee; Sholpan Askarova
Journal:  Front Neurosci       Date:  2015-05-27       Impact factor: 4.677

8.  Brazilin inhibits amyloid β-protein fibrillogenesis, remodels amyloid fibrils and reduces amyloid cytotoxicity.

Authors:  Wen-Jie Du; Jing-Jing Guo; Ming-Tao Gao; Sheng-Quan Hu; Xiao-Yan Dong; Yi-Fan Han; Fu-Feng Liu; Shaoyi Jiang; Yan Sun
Journal:  Sci Rep       Date:  2015-01-23       Impact factor: 4.379

9.  Nanoscale Surface Topography Modulates hIAPP Aggregation Pathways at Solid-Liquid Interfaces.

Authors:  Marcel Hanke; Yu Yang; Yuxin Ji; Guido Grundmeier; Adrian Keller
Journal:  Int J Mol Sci       Date:  2021-05-13       Impact factor: 5.923

10.  Structure, folding dynamics, and amyloidogenesis of D76N β2-microglobulin: roles of shear flow, hydrophobic surfaces, and α-crystallin.

Authors:  P Patrizia Mangione; Gennaro Esposito; Annalisa Relini; Sara Raimondi; Riccardo Porcari; Sofia Giorgetti; Alessandra Corazza; Federico Fogolari; Amanda Penco; Yuji Goto; Young-Ho Lee; Hisashi Yagi; Ciro Cecconi; Mohsin M Naqvi; Julian D Gillmore; Philip N Hawkins; Fabrizio Chiti; Ranieri Rolandi; Graham W Taylor; Mark B Pepys; Monica Stoppini; Vittorio Bellotti
Journal:  J Biol Chem       Date:  2013-09-06       Impact factor: 5.157

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