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通过拓扑肽重编程设计的淀粉样蛋白β抑制剂的关键基序——反平行β折叠片层

Antiparallel β-Sheet as a Key Motif of Amyloid-β Inhibitor Designed via Topological Peptide Reprogramming.

作者信息

Im Dongjoon, Lee Ye Eun, Yoon Gyusub, Goddard William A, Choi Tae Su, Kim Hugh I

机构信息

Department of Chemistry, Korea University, Seoul, 02841, Republic of Korea.

Division of Chemistry and Chemical Engineering and Materials Process and Simulation Center, California Institute of Technology, Pasadena, CA 91125, USA.

出版信息

Angew Chem Int Ed Engl. 2025 Jul 7;64(28):e202504640. doi: 10.1002/anie.202504640. Epub 2025 May 22.

Abstract

Peptide inhibitor design targeting self-assembly of amyloid-β (Aβ) represents a promising strategy for suppressing the pathogenic mechanism of Alzheimer's disease (AD). Conventional approaches have primarily mimicked repetitive sequences found in fibrillar structures of Aβ aggregates. However, since the inherent flexibility of Aβ structures promotes the structural changes in the early-stage oligomerization, a structural modulation should be considered in the design of peptide inhibitors. Herein, we introduce topological reprogramming of peptides to control the structural transformation in pathogenic Aβ 1-42 (Aβ42). The eleven-residue peptide scaffold P (HQKLVNFAEDV) identified through the initial screening was dimerized via a disulfide bond. The dimerization stabilizes Aβ42 into higher order structures by promoting antiparallel β-sheet conformations, thereby significantly suppressing Aβ42 aggregation. Our approach underscores that modification in peptide connectivity would be a breakthrough for controlling the intrinsic flexibility of Aβ, surpassing the limitation in conventional, one-dimensional peptide building block.

摘要

靶向淀粉样β蛋白(Aβ)自组装的肽抑制剂设计是抑制阿尔茨海默病(AD)致病机制的一种有前景的策略。传统方法主要模仿Aβ聚集体纤维状结构中发现的重复序列。然而,由于Aβ结构固有的灵活性促进了早期寡聚化过程中的结构变化,因此在肽抑制剂设计中应考虑结构调节。在此,我们引入肽的拓扑重编程以控制致病性Aβ 1-42(Aβ42)的结构转变。通过初步筛选确定的11个残基的肽支架P(HQKLVNFAEDV)通过二硫键二聚化。二聚化通过促进反平行β-折叠构象将Aβ42稳定为更高阶结构,从而显著抑制Aβ42聚集。我们的方法强调,肽连接性的修饰将是控制Aβ固有灵活性的一个突破,超越了传统一维肽构建块的局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8dd/12232890/84cc8cf230c4/ANIE-64-e202504640-g004.jpg

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