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花青素负载的 PEG-金纳米粒子通过 NF-B/JNK/GSK3β 信号通路增强对 Aβ 诱导的神经炎症和神经退行性变的神经保护作用。

Enhanced neuroprotection of anthocyanin-loaded PEG-gold nanoparticles against Aβ-induced neuroinflammation and neurodegeneration via the NF-B /JNK/GSK3β signaling pathway.

机构信息

Department of Biology and Applied Life Science (BK 21), College of Natural Sciences, Gyeongsang National University, Jinju, Republic of Korea.

Department of Biology and Applied Life Science (BK 21), College of Natural Sciences, Gyeongsang National University, Jinju, Republic of Korea.

出版信息

Nanomedicine. 2017 Nov;13(8):2533-2544. doi: 10.1016/j.nano.2017.06.022. Epub 2017 Jul 21.

Abstract

Amyloid-beta (Aβ) plaques and neurofibrillary tangles (NFTs) are the main hallmarks considered to be associated with neuroinflammation in Alzheimer's disease (AD). Recently, nanoparticle-based targeted drug delivery approaches have been found to be a useful tool in the neurotherapeutics field. Therefore, we examined and compared the neuroprotective effect of anthocyanins alone and anthocyanin-loaded poly (ethylene glycol)-gold nanoparticles (PEG-AuNPs) in Aβ-injected mouse and in vitro models of AD. We determined that anthocyanins alone or conjugated with PEG-AuNPs (AnPEG-AuNPs) reduced Aβ-induced neuroinflammatory and neuroapoptotic markers via inhibiting the p-JNK/NF-κB/p-GSK3β pathway in both in vivo and in vitro AD models. However, anthocyanins loaded with PEG-AuNPs were more effective compared to anthocyanins alone. Taken together, these results demonstrate that PEG-coated gold anthocyanins nanoparticles could be a new therapeutic agent in the field of nanomedicine to prevent neurodegenerative diseases such as AD.

摘要

淀粉样蛋白-β (Aβ) 斑块和神经原纤维缠结 (NFTs) 被认为是与阿尔茨海默病 (AD) 中的神经炎症相关的主要标志物。最近,基于纳米粒子的靶向药物递送方法已被发现是神经治疗领域的一种有用工具。因此,我们在 Aβ 注射小鼠和 AD 的体外模型中研究并比较了花青素单独和花青素负载聚乙二醇-金纳米粒子 (PEG-AuNPs) 的神经保护作用。我们确定花青素单独或与 PEG-AuNPs 结合 (AnPEG-AuNPs) 通过抑制体内和体外 AD 模型中的 p-JNK/NF-κB/p-GSK3β 通路,降低 Aβ 诱导的神经炎症和神经凋亡标志物。然而,负载 PEG-AuNPs 的花青素比单独的花青素更有效。总之,这些结果表明,PEG 包被的金花青素纳米粒子可能成为纳米医学领域预防神经退行性疾病如 AD 的一种新的治疗剂。

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