通过计算研究 Aβ 和 hIAPP 之间的共聚和交叉播种,为阿尔茨海默病和 2 型糖尿病中的交叉对话提供基础。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-06-26 DOI:10.1021/acs.jcim.4c00859
Xinjie Fan, Xiaohan Zhang, Jiajia Yan, Huan Xu, Wenhui Zhao, Feng Ding*, Fengjuan Huang* and Yunxiang Sun*, 
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引用次数: 0

摘要

淀粉样蛋白-β(Aβ)和人胰岛淀粉样多肽(hIAPP)在大脑和胰腺中的共存与阿尔茨海默病(AD)和2型糖尿病(T2D)风险的增加有关,原因在于它们的共聚和交叉播散。尽管如此,它们之间相互作用的分子机制仍然难以捉摸。在这里,我们利用原子离散分子动力学(DMD)模拟系统地研究了 Aβ 和 hIAPP 之间的交叉作用。我们的研究结果表明,Aβ(Aβ10-21 和 Aβ30-41)和 hIAPP(hIAPP8-20 和 hIAPP22-29)的淀粉样蛋白生成核心区在驱动它们自我聚集的同时,也表现出强烈的交叉作用倾向。这种倾向导致形成富含β片的杂复合物,包括可能有毒的β桶状低聚物。Aβ 和 hIAPP 异聚集体的形成并不妨碍其他肽的加入,从而形成更大的聚集体。我们的交叉播种模拟表明,Aβ和hIAPP纤丝可相互充当种子,在暴露的纤丝伸长端协助对方的单体转化为β片。Aβ和hIAPP的淀粉样蛋白生成核心区在低聚物和纤维状状态下都表现出招募分离肽的能力,从而延长了β片边,但对氨基酸序列的敏感性有限。这些研究结果表明,通过用抗淀粉样蛋白多肽药物覆盖这些区域,可能会成为一种治疗方法,用于治疗注意力缺失症、T2D 及其并发症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Computational Investigation of Coaggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Cross-Talk in Alzheimer’s Disease and Type 2 Diabetes

The coexistence of amyloid-β (Aβ) and human islet amyloid polypeptide (hIAPP) in the brain and pancreas is associated with an increased risk of Alzheimer’s disease (AD) and type 2 diabetes (T2D) due to their coaggregation and cross-seeding. Despite this, the molecular mechanisms underlying their interaction remain elusive. Here, we systematically investigated the cross-talk between Aβ and hIAPP using atomistic discrete molecular dynamics (DMD) simulations. Our results revealed that the amyloidogenic core regions of both Aβ (Aβ10–21 and Aβ30–41) and hIAPP (hIAPP8–20 and hIAPP22–29), driving their self-aggregation, also exhibited a strong tendency for cross-interaction. This propensity led to the formation of β-sheet-rich heterocomplexes, including potentially toxic β-barrel oligomers. The formation of Aβ and hIAPP heteroaggregates did not impede the recruitment of additional peptides to grow into larger aggregates. Our cross-seeding simulations demonstrated that both Aβ and hIAPP fibrils could mutually act as seeds, assisting each other’s monomers in converting into β-sheets at the exposed fibril elongation ends. The amyloidogenic core regions of Aβ and hIAPP, in both oligomeric and fibrillar states, exhibited the ability to recruit isolated peptides, thereby extending the β-sheet edges, with limited sensitivity to the amino acid sequence. These findings suggest that targeting these regions by capping them with amyloid-resistant peptide drugs may hold potential as a therapeutic approach for addressing AD, T2D, and their copathologies.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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