Real-time analysis of the biomolecular interaction between gelsolin and Aβ1-42 monomer and its implication for Alzheimer's disease.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2024-09-24 DOI:10.1016/j.talanta.2024.126938
Limin Ma, Tian Meng, Yu Wang, Yu Xue, Yuxin Zheng, Jinghuang Chen, Dongming Xu, Jian Sun, Fan Yang, Jianshe Huang, Xiurong Yang
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Abstract

Biomolecular interaction acts a pivotal part in understanding the mechanisms underlying the development of Alzheimer's disease (AD). Herein, we built a biosensing platform to explore the interaction between gelsolin (GSN) and different β-amyloid protein 1-42 (Aβ1-42) species, including Aβ1-42 monomer (m-Aβ), Aβ1-42 oligomers with both low and high levels of aggregation (LLo-Aβ and HLo-Aβ) via dual polarization interferometry (DPI). Real-time molecular interaction process and kinetic analysis showed that m-Aβ had the strongest affinity and specificity with GSN compared with LLo-Aβ and HLo-Aβ. The impact of GSN on inhibiting aggregation of Aβ1-42 and solubilizing Aβ1-42 aggregates was evaluated by circular dichroism (CD) spectroscopy. The maintenance of random coil structure of m-Aβ and the reversal of β-sheet structure in HLo-Aβ were observed, demonstrating the beneficial effects of GSN on preventing Aβ from aggregation. In addition, the structure of m-Aβ/GSN complex was analyzed in detail by molecular dynamics (MD) simulation and molecular docking. The specific binding sites and crucial intermolecular forces were identified, which are believed to stabilize m-Aβ in its soluble state and to inhibit the fibrilization of Aβ1-42. Combined theoretical simulations and experiment results, we speculate that the success of GSN sequestration mechanism and the balance of GSN levels in cerebrospinal fluid and plasma of AD subjects may contribute to a delay in AD progression. This research not only unveils the molecular basis of the interaction between GSN and Aβ1-42, but also provides clues to understanding the crucial functions of GSN in AD and drives the development of AD drugs and therapeutic approaches.

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实时分析凝胶蛋白与 Aβ1-42 单体之间的生物分子相互作用及其对阿尔茨海默病的影响。
生物分子相互作用是理解阿尔茨海默病(AD)发病机制的关键部分。在此,我们建立了一个生物传感平台,通过双偏振干涉仪(DPI)探讨了凝胶蛋白(GSN)与不同种类的β淀粉样蛋白1-42(Aβ1-42)之间的相互作用,包括Aβ1-42单体(m-Aβ)、Aβ1-42低聚物和高聚物(LLo-Aβ和HLo-Aβ)。实时分子相互作用过程和动力学分析表明,与 LLo-Aβ 和 HLo-Aβ 相比,m-Aβ 与 GSN 的亲和力和特异性最强。通过圆二色性光谱(CD)评估了 GSN 对抑制 Aβ1-42 聚集和增溶 Aβ1-42 聚集体的影响。结果表明,在 HLo-Aβ 中,m-Aβ 保持了无规线圈结构,β-片状结构发生了逆转,这表明 GSN 有助于防止 Aβ 的聚集。此外,还通过分子动力学(MD)模拟和分子对接详细分析了 m-Aβ/GSN 复合物的结构。研究发现了特定的结合位点和关键的分子间作用力,这些作用力被认为能稳定 m-Aβ 的可溶态,并抑制 Aβ1-42 的纤维化。结合理论模拟和实验结果,我们推测GSN螯合机制的成功以及AD患者脑脊液和血浆中GSN水平的平衡可能有助于延缓AD的进展。这项研究不仅揭示了GSN与Aβ1-42相互作用的分子基础,而且为理解GSN在AD中的关键功能提供了线索,推动了AD药物和治疗方法的开发。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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