针对阿尔茨海默病中 GSK-3β 和 TNF-α 靶点的黄酮类化合物的分子对接分析。

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Receptors and Signal Transduction Pub Date : 2024-06-01 Epub Date: 2024-08-27 DOI:10.1080/10799893.2024.2396430
Sittarthan Viswanathan, Rengaraj Sivaraj, A Hannah Rachel Vasanthi, Kavimani Subramanian, Vimalavathini Ramesh
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引用次数: 0

摘要

导言:在所有治疗领域中,阿尔茨海默病药物开发的失败率最高,而阿尔茨海默病至今仍无法治愈。糖原合成酶激酶-3β是与阿尔兹海默病发病机制有关的一种关键酶,特别是在tau蛋白过度磷酸化导致神经纤维缠结形成的过程中。TNF-α 在阿尔茨海默病的发病机制中也起着重要作用,它能促进神经炎症,促成淀粉样斑块和神经纤维缠结的形成,损害突触功能,破坏神经营养因子的平衡。与合成药物相比,植物药具有多种作用模式,包括毒性低、不良反应少等优势。类黄酮是治疗阿尔茨海默病的一个很有前景的治疗靶点。本研究探讨了 35 种黄酮类化合物抑制 GSK-3β 和 TNF-α 的抗老年痴呆症潜力:方法:利用SwissADME和OSIRIS数据Warrier Property explorer网络工具预测了所选35种黄酮类化合物的理化、药代动力学参数、毒性特征和可药性。使用 Autodock 4.2.1 对所有黄酮类化合物与 GSK-3β 和 TNF-α 蛋白进行了对接研究:该研究的预测结果表明,在选定的 35 种黄酮类化合物中,前 3 种黄酮类化合物(如表儿茶素没食子酸酯-10.93 kcal/mol、鱼腥草素-9.44 kcal/mol和桉叶油醇-8.54 kcal/mol)是 GSK-3β 的靶标。与标准药物多奈哌齐相比,TNF-α的飞沙素-11.52 kcal/mol、Sterubin-10.87 kcal/mol和Biochainin A-10.69 kcal/mol:因此,这些黄酮类化合物可作为基于结构设计的线索,用于开发新型强效抗老年痴呆症药物。不过,要最终确认这项研究的成果,还需要进行更多的体外和体内分析。
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An in-silico approach - molecular docking analysis of flavonoids against GSK-3β and TNF-α targets in Alzheimer's disease.

Introduction: Drug development for Alzheimer's disease has one of the greatest failure rates of any therapeutic field and AD is still incurable. Glycogen synthase kinase-3β is a critical enzyme implicated in the pathogenesis of AD, particularly in the hyperphosphorylation of tau protein, which leads to the formation of neurofibrillary tangles. TNF-α also plays a significant role in the pathogenesis of Alzheimer's disease by promoting neuroinflammation, contributing to the formation of amyloid plaques and neurofibrillary tangles, impairing synaptic function, and disrupting the balance of neurotrophic factors. Phytomedicine has numerous advantages over synthetic medications, acting multiple mode of action, including being less toxic and having fewer adverse effects. Flavonoids act as a promising therapeutic target for treating Alzheimer's disease. The present work investigates the anti-AD potentials of 35 flavonoids for the inhibition of GSK-3β and TNF-α.

Methods: The physicochemical, pharmacokinetic parameters, toxicity profile and drug-likeliness of the selected 35 flavonoids were predicted using SwissADME & OSIRIS data Warrier property explorer web tool. All flavonoids were selected for docking studies on GSK-3β and TNF-α protein using Autodock 4.2.1.

Results: The predictions of this study suggested that among the selected 35 flavonoids, Top 3 flavonoids, such as Epicatechin gallate -10.93 kcal/mol, Fisetin -9.44 kcal/mol and Eriodictyol -8.54 kcal/mol for GSK-3β targets. TNF-α Fisetin -11.52 kcal/mol, Sterubin -10.87 kcal/mol, Biochainin A -10.69 kcal/mol were compared with standard drug donepezil.

Conclusion: Therefore, these flavonoids could be utilized as possible leads for the structure-based design in the advancement of new, strong Anti-Alzheimer's agents. However, more invitro and invivo analyses are required to finally confirm the outcomes of this research.

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来源期刊
Journal of Receptors and Signal Transduction
Journal of Receptors and Signal Transduction 生物-生化与分子生物学
CiteScore
6.60
自引率
0.00%
发文量
19
审稿时长
>12 weeks
期刊介绍: Journal of Receptors and Signal Tranduction is included in the following abstracting and indexing services: BIOBASE; Biochemistry and Biophysics Citation Index; Biological Abstracts; BIOSIS Full Coverage Shared; BIOSIS Previews; Biotechnology Abstracts; Current Contents/Life Sciences; Derwent Chimera; Derwent Drug File; EMBASE; EMBIOLOGY; Journal Citation Reports/ Science Edition; PubMed/MedLine; Science Citation Index; SciSearch; SCOPUS; SIIC.
期刊最新文献
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