Anupam Ghosh, Titas Kumar Mukhopadhyay and Ayan Datta
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引用次数: 0
Abstract
Alzheimer's disease (AD) is a major life-limiting neurodegenerative disorder caused by extracellular aggregation of amyloid β (Aβ) peptides. This forms amyloid plaques in the brain resulting in dementia and even causing death. In spite of great efforts towards developing therapies to cure AD, unfortunately, treatment is often ineffective. Herein, we investigate the possibility of state-of-the-art two-dimensional (2D) nanomaterials to treat AD by evaluating their potential to perturb and disrupt Aβ peptide aggregates. The adsorption mechanism for a pre-formed Aβ fibril is carefully studied on five 2D materials, namely graphene, hexagonal boron nitride (h-BN), h2D-C2N, g-C3N3, and g-C3N4. They are screened for their disrupting effects on the peptide aggregate. It is found that disruption of the Aβ fibril is directly related to the strength of its adsorption on the 2D material, which in turn, is dominated by the van der Waals interactions. h-BN shows a profound disruption of the Aβ fibril followed by graphene. The nitrogen-containing carbon-based 2D materials, h2D-C2N, g-C3N3, and g-C3N4, are found to be rather poor in this aspect. Structural disruption parameter ρd is proposed as an index to rank the potency of 2D materials to inhibit Aβ fibrillation. h-BN and graphene are shown to be highly potent towards disruption of misfolded protein aggregates like Aβ fibrils.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.