The dissolution, reassembly and further clearance of amyloid-β fibrils by tailor-designed dissociable nanosystem for Alzheimer's disease therapy

Qianhua Feng, Xueli Zhang, Nan Zhang, Huan Gu, Ning Wang, Jing Chen, Xiaomin Yuan, Lei Wang
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Abstract

The fibrillation of amyloid-β (Aβ) is the critical causal factor in Alzheimer's disease (AD), the dissolution and clearance of which are promising for AD therapy. Although many Aβ inhibitors are developed, their low Aβ-binding affinity results in unsatisfactory effect. To solve this challenge, the Aβ sequence-matching strategy is proposed to tail-design dissociable nanosystem (B6-PNi NPs). Herein, B6-PNi NPs aim to improve Aβ-binding affinity for effective dissolution of amyloid fibrils, as well as to interfere with the in vivo fate of amyloid for Aβ clearance. Results show that B6-PNi NPs decompose into small nanostructures and expose Aβ-binding sites in response to AD microenvironment, and then capture Aβ via multiple interactions, including covalent linkage formed by nucleophilic substitution reaction. Such high Aβ-binding affinity disassembles Aβ fibrils into Aβ monomers, and induces the reassembly of Aβ&nanostructure composite, thereby promoting microglial Aβ phogocytosis/clearance via Aβ receptor-mediated endocytosis. After B6-PNi NPs treatment, the Aβ burden, neuroinflammation and cognitive impairments are relieved in AD transgenic mice. This work provides the Aβ sequence-matching strategy for Aβ inhibitor design in AD treatment, showing meaningful insight in biomedicine.

Abstract Image

通过量身定制的可解离纳米系统溶解、重组和进一步清除淀粉样蛋白-β纤维,治疗阿尔茨海默病
淀粉样蛋白-β(Aβ)的纤维化是阿尔茨海默病(AD)的关键致病因素,其溶解和清除有望用于AD治疗。虽然目前已开发出许多 Aβ 抑制剂,但由于其 Aβ 结合亲和力低,效果并不理想。为了解决这一难题,我们提出了 Aβ 序列匹配策略,以尾设计可解离纳米系统(B6-PNi NPs)。在此,B6-PNi NPs旨在提高Aβ结合亲和力,以有效溶解淀粉样蛋白纤维,并干扰体内淀粉样蛋白清除Aβ的命运。研究结果表明,B6-PNi NPs会分解成小的纳米结构,并在AD微环境中暴露出Aβ结合位点,然后通过多种相互作用(包括亲核取代反应形成的共价连接)捕获Aβ。这种高Aβ结合亲和力可将Aβ纤维分解为Aβ单体,并诱导Aβ与纳米结构复合体的重新组装,从而促进小胶质细胞通过Aβ受体介导的内吞作用对Aβ进行吞噬/清除。经 B6-PNi NPs 处理后,AD 转基因小鼠的 Aβ 负担、神经炎症和认知障碍均得到缓解。这项研究为Aβ抑制剂的设计提供了Aβ序列匹配策略,对生物医学的发展具有重要意义。
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CiteScore
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