journal article·2021-04-28

Near-Infrared-Active Copper Molybdenum Sulfide Nanocubes for Phonon-Mediated Clearance of Alzheimer’s β-Amyloid Aggregates

Jinhyeong Jang, Chan Beum Park

ACS Applied Materials & Interfaces· Volume 13· Issue 16
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Abstract

Ternary chalcogenide materials have attracted significant interest in recent years because of their unique physicochemical and optoelectronic properties without relying on precious metals, rare earth metals, or toxic elements. Copper molybdenum sulfide (Cu2MoS4, CMS) nanocube is a biocompatible ternary chalcogenide nanomaterial that exhibits near-infrared (NIR) photocatalytic activity based on its low band gap and electron–phonon coupling property. Here, we study the efficacy of CMS nanocubes for dissociating neurotoxic Alzheimer’s β-amyloid (Aβ) aggregates under NIR light. The accumulation of Aβ aggregates in the central nervous system is known to cause and exacerbate Alzheimer’s disease (AD). However, clearance of the Aβ aggregates from the central nervous system is a considerable challenge due to their robust structure formed through self-assembly via hydrogen bonding and side-chain interactions. Our spectroscopic and microscopic analysis results have demonstrated that NIR-excited CMS nanocubes effectively disassemble Aβ fibrils by changing Aβ fibril’s nanoscopic morphology, secondary structure, and primary structure. We have revealed that the toxicity of Aβ fibrils is alleviated by NIR-stimulated CMS nanocubes through in vitro analysis. Moreover, our ex vivo evaluations have suggested that the amount of Aβ plaques in AD mouse’s brain decreased significantly by NIR-excited CMS nanocubes without causing any macroscopic damage to the brain tissue. Collectively, this study suggests the potential use of CMS nanocubes as a therapeutic ternary chalcogenide material to alleviate AD in the future.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Alzheimer's disease research and treatments · Quantum Dots Synthesis And Properties · Nanocluster Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 335 Science Road, Daejeon 34141, Republic of Korea

Funding

National Research Foundation of Korea

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