Sulfur Nanoparticles with Novel Morphologies Coupled with Brain-Targeting Peptides RVG as a New Type of Inhibitor Against Metal-Induced Aβ Aggregation.
Jing SunWenjie XieXufeng ZhuMengmeng XuJie LiuPublished in: ACS chemical neuroscience (2017)
Functionalized nanomaterials, which have been applied widely to inhibit amyloid-β protein (Aβ) aggregation, show enormous potential in the field of prevention and treatment of Alzheimer's disease (AD). A significant body of data has demonstrated that the morphology and size of nanomaterials have remarkable effects on their biological behaviors. In this work, we proposed and designed three kinds of brain-targeting sulfur nanoparticles (RVG@Met@SNPs) with novel morphologies (volute-like, tadpole-like, and sphere-like) and investigated the effect of different RVG@Met@SNPs on Aβ-Cu2+ complex aggregation and their corresponding neurotoxicity. Among them, the sphere-like nanoparticles (RVG@Met@SS) exhibited the most effective inhibitory activity, due to their unique mini size effect, and they reduced 61.6% the Aβ-Cu2+ complex aggregation and increased 92.4% SH-SY5Y cell viability in a dose of 10 μg/mL. In vitro and in vivo, the abilities of different morphologies of RVG@Met@SNPs to cross the blood-brain barrier (BBB) and target brain parenchymal cells were significantly different. Moreover, improvements in learning disability and cognitive loss were shown in the transgenic AD mice model using the Morris water maze test after multiple doses of RVG@Met@SNPs treatment. In general, the purpose of this research is to develop a biological application of sulfur nanoparticles and to provide a novel functionalized nanomaterial to treat AD.
Keyphrases
- tyrosine kinase
- genome wide
- resting state
- white matter
- functional connectivity
- multiple sclerosis
- induced apoptosis
- amino acid
- quantum dots
- walled carbon nanotubes
- genome wide association
- blood brain barrier
- gene expression
- cancer therapy
- dna methylation
- adipose tissue
- combination therapy
- cognitive decline
- big data
- risk assessment
- human health
- insulin resistance
- signaling pathway
- molecularly imprinted
- climate change
- drug delivery
- skeletal muscle
- cell death
- mild cognitive impairment