Suppr超能文献

网络药理学揭示长叶胡桐治疗潜在阿尔茨海默病的关键靶点及通路。

Network Pharmacology Reveals Key Targets and Pathways of Madhuca longifolia for Potential Alzheimer's Disease Treatment.

机构信息

Faculty of Biotechnology, Institute of Biosciences and Technology, Shri Ramswaroop Memorial University, Barabanki, Uttar Pradesh, India.

Bhai Gurdas Institute of Engineering and Technology, Sangrur, Punjab, India.

出版信息

Cell Biochem Biophys. 2024 Sep;82(3):2727-2746. doi: 10.1007/s12013-024-01389-4. Epub 2024 Jul 15.

Abstract

Madhuca longifolia, commonly known as the mahua tree, has been traditionally used in medicine due to its anti-inflammatory, anti-diabetic, and antimicrobial properties. Its active compounds help in managing diabetes, alleviating cognitive impairment associated with Alzheimer's disease. Nonetheless, the exact neuroprotective mechanism of Madhuca longifolia against Alzheimer's disease remains unclear. This study looked into possible methods by which Madhuca longifolia protects against Alzheimer's disease using network pharmacology, molecular docking and molecular dynamic simulations studies. By applying pre-screening of active constituents, target prediction, Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analysis, our study found that Madhuca longifolia is related to eight active ingredients (Ascorbic acid, Riboflavin, Pantothenic acid, (4 R)-2beta,3beta,23-trihydroxy-oleana-5,12-dien-28-oic acid, Quercetin, Nicotinic acid, Bassiaic acid Thiamine) and 272 common gene targets, with significant involvement in pathways such as PI3K-Akt signaling and neuroactive ligand-receptor interaction. Network analysis demonstrated how Madhuca longifolia can prevent AD by modifying important signalling networks, which may be one of the molecular mechanisms driving the plant's effectiveness against the disease. Molecular docking studies revealed that there were robust binding abilities of Quercetin, Riboflavin and Pantothenic acid to key target proteins AKT1, JUN, and STAT3. Later, molecular dynamic simulations was done to examine the successful activity of the active compounds against potential targets, and it was found that AKT1 and AKT1-Quercetin complex became stable at 260 ps. It may be seen through the study that quercetin may act as a good inhibitor for treatment. This thorough investigation provides a strong basis for future research and development efforts by advancing our understanding of Madhuca longifolia medicinal potential in Alzheimer's disease.

摘要

麻疯树,俗称麻疯树,由于其具有抗炎、抗糖尿病和抗菌特性,传统上被用于医学。其活性化合物有助于控制糖尿病,减轻与阿尔茨海默病相关的认知障碍。然而,麻疯树防治阿尔茨海默病的确切神经保护机制尚不清楚。本研究应用网络药理学、分子对接和分子动力学模拟研究,探讨麻疯树防治阿尔茨海默病的可能方法。通过对活性成分的预筛选、靶点预测、基因本体 (GO) 和京都基因与基因组百科全书 (KEGG) 通路富集分析,我们的研究发现麻疯树与 8 种活性成分(抗坏血酸、核黄素、泛酸、(4R)-2β,3β,23-三羟基-齐墩果-5,12-二烯-28-酸、槲皮素、烟酸、安息香酸、硫胺素)和 272 个常见基因靶点有关,与 PI3K-Akt 信号通路和神经活性配体-受体相互作用等途径密切相关。网络分析表明,麻疯树可以通过改变重要的信号网络来预防 AD,这可能是该植物对该疾病有效性的分子机制之一。分子对接研究表明,槲皮素、核黄素和泛酸与关键靶蛋白 AKT1、JUN 和 STAT3 具有很强的结合能力。随后,进行分子动力学模拟以检查活性化合物对潜在靶标的有效作用,发现 AKT1 和 AKT1-槲皮素复合物在 260 ps 时变得稳定。通过研究可以看出,槲皮素可能是一种很好的抑制剂。这项全面的研究为进一步研究和开发提供了有力的基础,加深了我们对麻疯树防治阿尔茨海默病药用潜力的理解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验