Literature DB >> 32525673

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

Timothy Cholko1, Joseph Barnum1, Chia-En A Chang1.   

Abstract

Amyloid-β (Aβ) plaques, which form by aggregation of harmless Aβ peptide monomers into larger fibrils, are characteristic of neurodegenerative disorders such as Alzheimer's disease. Efforts to treat Alzheimer's disease focus on stopping or reversing the aggregation process that leads to fibril formation. However, effective treatments are elusive due to certain unknown aspects of the process. Many hypotheses point to disruption of cell membranes by adsorbed Aβ monomers or oligomers, but how Aβ behaves and aggregates on surfaces of widely varying properties, such as those present in a cell, is unclear. Elucidating the effects of various surfaces on the dynamics of Aβ and the kinetics of the aggregation process from bulk solution to a surface-adsorbed multimer can help identify what drives aggregation, leading to new methods of intervention by inhibitory drugs or other means. In this work, we used all-atom Brownian dynamics simulations to study the association of two distinct Aβ42 monomer conformations with a surface-adsorbed or free-floating Aβ42 dimer. We calculated the association time, surface interaction energy, surface diffusion coefficient, surface residence time, and the mechanism of association on four different surfaces and two different bulk solution scenarios. In the presence of a surface, the majority of monomers underwent a two-dimensional surface-mediated association that depended primarily on an Aβ42 electrostatic interaction with the self-assembled monolayer (SAM) surfaces. Moreover, aggregation could be inhibited greatly by surfaces with high affinity for Aβ42 and heterogeneous charge distribution. Our results can be used to identify new opportunities for disrupting or reversing the Aβ42 aggregation process.

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Year:  2020        PMID: 32525673      PMCID: PMC7797022          DOI: 10.1021/acs.jpcb.0c02926

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  56 in total

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2.  Interpreting the aggregation kinetics of amyloid peptides.

Authors:  Riccardo Pellarin; Amedeo Caflisch
Journal:  J Mol Biol       Date:  2006-06-05       Impact factor: 5.469

3.  Amyloid aggregation on lipid bilayers and its impact on membrane permeability.

Authors:  Ran Friedman; Riccardo Pellarin; Amedeo Caflisch
Journal:  J Mol Biol       Date:  2008-12-24       Impact factor: 5.469

4.  A coarse grained protein model with internal degrees of freedom. Application to α-synuclein aggregation.

Authors:  Ioana M Ilie; Wouter K den Otter; Wim J Briels
Journal:  J Chem Phys       Date:  2016-02-28       Impact factor: 3.488

5.  Norepinephrine Inhibits Alzheimer's Amyloid-β Peptide Aggregation and Destabilizes Amyloid-β Protofibrils: A Molecular Dynamics Simulation Study.

Authors:  Yu Zou; Zhenyu Qian; Yujie Chen; Hongsheng Qian; Guanghong Wei; Qingwen Zhang
Journal:  ACS Chem Neurosci       Date:  2019-01-15       Impact factor: 4.418

6.  ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB.

Authors:  James A Maier; Carmenza Martinez; Koushik Kasavajhala; Lauren Wickstrom; Kevin E Hauser; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2015-07-23       Impact factor: 6.006

7.  Two types of Alzheimer's beta-amyloid (1-40) peptide membrane interactions: aggregation preventing transmembrane anchoring versus accelerated surface fibril formation.

Authors:  Marcus Bokvist; Fredrick Lindström; Anthony Watts; Gerhard Gröbner
Journal:  J Mol Biol       Date:  2004-01-23       Impact factor: 5.469

8.  Influence of gold nanoparticle surface chemistry and diameter upon Alzheimer's disease amyloid-β protein aggregation.

Authors:  Kelly A Moore; Kayla M Pate; Deborah D Soto-Ortega; Samuel Lohse; Nicholas van der Munnik; Mihyun Lim; Kaliah S Jackson; Venetia D Lyles; Lemeisha Jones; Nisha Glassgow; Vanessa M Napumecheno; Shanee Mobley; Mark J Uline; Rahina Mahtab; Catherine J Murphy; Melissa A Moss
Journal:  J Biol Eng       Date:  2017-02-06       Impact factor: 4.355

9.  Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Authors:  Michael Feig; Isseki Yu; Po-Hung Wang; Grzegorz Nawrocki; Yuji Sugita
Journal:  J Phys Chem B       Date:  2017-07-12       Impact factor: 2.991

Review 10.  The amyloid hypothesis of Alzheimer's disease at 25 years.

Authors:  Dennis J Selkoe; John Hardy
Journal:  EMBO Mol Med       Date:  2016-06-01       Impact factor: 12.137

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  2 in total

1.  Modeling Effects of Surface Properties and Probe Density for Nanoscale Biosensor Design: A Case Study of DNA Hybridization near Surfaces.

Authors:  Timothy Cholko; Chia-En A Chang
Journal:  J Phys Chem B       Date:  2021-02-16       Impact factor: 2.991

2.  Molecular Mechanics Study of Flow and Surface Influence in Ligand-Protein Association.

Authors:  Shivansh Kaushik; Chia-En A Chang
Journal:  Front Mol Biosci       Date:  2021-05-10
  2 in total

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