咖啡因抑制Tau聚集并破坏与慢性创伤性脑病相关的原纤维:一项REST2和传统MD模拟研究

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Jiaxing Tang, Zhengdong Xu, Feng Wang, Lulu Guan, Bote Qi and Yu Zou*, 
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引用次数: 0

摘要

慢性创伤性脑病(Chronic traumatic enceopathy, CTE)是一种独特的脑部疾病,多见于接触性运动运动员,如美式橄榄球、拳击、足球等。由自组装tau蛋白组成的过度磷酸化的纤维聚集体是CTE的病理标志,抑制纤维聚集体的聚集或解耦被认为是预防或治疗CTE的有希望的途径。咖啡因(CA)是一种众所周知的精神兴奋剂,可以在咖啡、茶和软饮料中找到。体外实验表明,CA能有效抑制野生型tau聚集和预形成原纤维的分解。然而,原子效应和潜在的分子机制在很大程度上仍然是难以捉摸的。在这项研究中,我们用溶质回火2 (REST2)和常规分子动力学(CMD)模拟了总共43.8 μs的tau模型,包括第3和第4微管结合重复序列(R3-R4) tau单体和cte相关的R3-R4 tau原纤维和原纤维。结果表明,CA能显著抑制单体β-片的形成,破坏原原纤维β-片结构,诱导单体和原原纤维呈松散堆积或延伸构象。氢键和π -π堆叠相互作用驱动CA在单体上的结合,而疏水相互作用对CA在原纤维上的结合有额外的贡献。引人注目的是,CA可以稳定地结合到原原纤维的疏水腔上,这可能会占据空间,阻止聚集辅因子的进入。更重要的是,CA使原纤维不稳定,并在逆转tau的液相到固相转变(LSPT)中发挥作用。我们的研究系统地揭示了CA在原子水平上对tau聚集的影响,为设计预防或治疗CTE的药物提供了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Caffeine Inhibits Tau Aggregation and Destabilizes the Fibril Associated with Chronic Traumatic Encephalopathy: A REST2 and Conventional MD Simulations Study

Caffeine Inhibits Tau Aggregation and Destabilizes the Fibril Associated with Chronic Traumatic Encephalopathy: A REST2 and Conventional MD Simulations Study

Chronic traumatic encephalopathy (CTE) is a unique tauopathy mostly diagnosed in contact sports athletes, such as those active in American football, boxing, soccer, etc. The hyperphosphorylated fibrillar aggregates composed of self-assembled tau protein are the pathological hallmark of CTE, and inhibiting the aggregation or disassociating the fibrillar aggregates has been considered a promising avenue to prevent or treat CTE. Caffeine (CA) is a well-known psychostimulant and can be found in coffee, tea, and soft drinks. In vitro experiments revealed that CA could effectively inhibit wild-type tau aggregation and disassemble preformed fibrils. However, the atomic effect and the underlying molecular mechanisms remain largely elusive. In this study, we performed a multitude of replica exchange with solute tempering 2 (REST2) and conventional molecular dynamics (CMD) simulations of 43.8 μs in total on tau models with and without CA, including the third and fourth microtubule-binding repeats (R3-R4) tau monomer and CTE-related R3-R4 tau protofibril and fibril. The results revealed that CA could prominently inhibit the β-sheet formation of the monomer and disrupt the β-sheet structure of the protofibril, inducing the monomer and protofibril to adopt loosely packed or extended conformations. H-bonding and π–π stacking interactions drove the binding of CA on the monomer, while hydrophobic interactions made an extra contribution to the binding of CA on the protofibril. Strikingly, CA could stably bind to the hydrophobic cavity of the protofibril, which might occupy the space and prevent the entering of the aggregation cofactor. What is more, CA destabilized the fibril and played a role in reversing the liquid-to-solid phase transition (LSPT) of tau. Our study systematically uncovered the atomic-level effect of CA on tau aggregation, which offers a theoretical foundation for the design of drugs to prevent or treat CTE.

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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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