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通过网络药理学和基于结构的分析进行的计算剖析揭示了一种保肝草药中生物活性化合物的作用机制,用于治疗非酒精性脂肪性肝病和非酒精性脂肪性肝炎。

Computational dissection through network pharmacology and structure-based analysis unravels mechanistic actions of bioactive compounds in a hepatoprotective herb, for the treatment of NAFLD and NASH.

作者信息

Sharma Shilpa, Sharma Ashish, Chauhan Rajinder Singh

机构信息

Department of Biotechnology, School of Engineering & Applied Sciences, Bennett University, Greater Noida, Uttar Pradesh, India.

Centre for Life Sciences, Mahindra University, Hyderabad, Telangana, India.

出版信息

J Biomol Struct Dyn. 2024 Dec 7:1-16. doi: 10.1080/07391102.2024.2438358.

DOI:10.1080/07391102.2024.2438358
PMID:39644498
Abstract

Non-Alcoholic fatty liver disease has become a silent pandemic worldwide with no authorized medicine available. is a traditional hepatoprotective herb wherein extracts provide therapeutic efficacy but not the individual compounds. Hence, the aim of the study is exploration of active molecules in extracts and identification of mechanistic actions to pinpoint potential leads towards drug development. We employed network pharmacology to identify the significance of combinatorial effect of compounds on multiple targets. The NAFLD/NASH associated genes encoding protein targets overlapped with the predicted protein targets of compounds. Then, overlapping targets were considered further to capture the interactive targets from Protein-Protein-Interaction network of NAFLD and NASH. The networks were generated to capture the role of proteins in different signaling pathways, diseases, and effective compounds as therapeutics. Furthermore, structural, and biophysical analysis was performed for significant complexes. We observed that the compounds like astragalin, Picroside-I, Vernicoside, Rutin, Quercetin, Kaempferol, Gallic acid, Ellagic acid in acted synergistically by enhancing the bioavailability of active compounds and affecting various morbidities of NAFLD through involvement in different signaling and disease pathways such as oxidative phosphorylation, FoxO signaling, inflammation, several cancerous and diabetic pathways. The network pharmacology revealed the interactive behavior of proteins involved in NAFLD treated by compounds. Furthermore, molecular docking and molecular dynamic simulation study showed potential candidates in therapeutics. Overall, the study suggested multi-target drug discovery for treating complex diseases by providing leads in herbal extracts as potential therapeutic botanicals.

摘要

非酒精性脂肪性肝病已成为全球范围内一种悄无声息的流行病,目前尚无获批的药物。[某种草药名称]是一种传统的保肝草药,其提取物具有治疗功效,但具体的单个化合物尚不明确。因此,本研究的目的是探索该草药提取物中的活性分子,并确定其作用机制,以找出药物开发的潜在线索。我们采用网络药理学来确定化合物组合对多个靶点的联合效应的重要性。与非酒精性脂肪性肝病/非酒精性脂肪性肝炎相关的编码蛋白质靶点的基因与该草药化合物预测的蛋白质靶点重叠。然后,进一步考虑这些重叠靶点,从非酒精性脂肪性肝病和非酒精性脂肪性肝炎的蛋白质-蛋白质相互作用网络中捕获相互作用靶点。生成这些网络以了解蛋白质在不同信号通路、疾病以及作为治疗药物的有效化合物中的作用。此外,对重要复合物进行了结构和生物物理分析。我们观察到,该草药中的紫云英苷、胡黄连苷-I、紫丁香苷、芦丁、槲皮素、山奈酚、没食子酸、鞣花酸等化合物通过提高活性化合物的生物利用度,并参与不同的信号和疾病通路,如氧化磷酸化、FoxO信号传导、炎症、多种癌症和糖尿病通路,从而协同作用,影响非酒精性脂肪性肝病的各种病症。网络药理学揭示了该草药化合物治疗非酒精性脂肪性肝病时蛋白质的相互作用行为。此外,分子对接和分子动力学模拟研究显示了治疗方面的潜在候选物。总体而言,该研究通过提供草药提取物中的潜在治疗植物线索,为治疗复杂疾病的多靶点药物发现提供了建议。

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