Integrated Network Pharmacology and In-silico Approaches to Decipher the Pharmacological Mechanism of Dioscorea septemloba Thunb in Treating Gout and Its Complications.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Wen-Bin Liu, Jie Dai, Xuan Chen, Ning Du, Jian Hu
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引用次数: 0

Abstract

Background: Dioscorea septemloba Thunb. (DST) has demonstrated therapeutic potential in the treatment of gout and its associated complications. However, the underlying mechanisms of DST's pharmacological activity remain unclear. This study aims to investigate the pharmacological substances and network regulatory mechanisms of DST in treating gout and its complications using network pharmacology.

Methods: According to ultra-high performance liquid chromatography coupled with hybrid quadrupole-Orbitrap mass spectrometry (UPLC-Q-Exactive Orbitrap-MS) data and Lipinski's rule of five, 24 bioactive phytochemicals from DST were identified. The targets of gout were retrieved from Gene Expression Omnibus (GEO), GeneCards, and DisGeNET databases, followed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG pathway) enrichment analysis. The Cytoscape network analysis was used to identify the primary pathological pathways and key targets. Finally, LeDock was used for molecular docking to verify the active components of DST and their core target proteins.

Results: DST contains several core active ingredients, such as tetrahydroimidazo[1,2-a]pyridine- 2,5-dione, diosgenin, beta-sitosterol, dioscorol B, montroumarin and 9,10-dihydro-5,7- dimethoxy-3,4-phenanthrenediol. Moreover, these active components were found to strongly bind to the key targets for treating gout and its complications, including HSP90AA1, STAT3, PTGS2, PPARG, MTOR, HIF1A, MMP9, ESR1, and TLR4. As a result, DST alleviates gout and its complications by inhibiting xanthine dehydrogenase (XDH) to reduce uric acid levels and regulating the HIF-1α, EZH2/STAT3, and COX-2/PPAR-γ pathways to reduce inflammation. Additionally, it also plays an analgesic role by regulating the neuroactive ligand-receptor interaction pathway and calcium ion signaling pathway.

Conclusion: This study has provided insights into the underlying mechanisms of DST in the treatment of gout and its complications, which could serve as a scientific foundation for its clinical translation.

综合网络药理学和计算机方法解读九叶薯蓣治疗痛风及其并发症的药理机制。
背景:九叶薯蓣。(DST)已经证明了治疗痛风及其相关并发症的潜力。然而,DST药理学活性的潜在机制尚不清楚。本研究旨在利用网络药理学研究DST治疗痛风及其并发症的药理物质及网络调控机制。方法:利用超高效液相色谱-混合四极杆-轨道rap质谱(UPLC-Q-Exactive Orbitrap-MS)数据和Lipinski的五法则,对冬青中24种植物活性物质进行鉴定。从Gene Expression Omnibus (GEO)、GeneCards和DisGeNET数据库中检索痛风的靶点,然后进行基因本体(GO)和京都基因与基因组百科全书通路(KEGG通路)富集分析。细胞景观网络分析用于确定主要病理通路和关键靶点。最后利用LeDock进行分子对接,验证DST的活性成分及其核心靶蛋白。结果:DST含有四氢咪唑[1,2-a]吡啶- 2,5-二酮、薯蓣皂苷元、β -谷甾醇、薯蓣酚B、montromarin和9,10-二氢-5,7-二甲氧基-3,4-菲二醇等核心活性成分。此外,这些活性成分被发现与治疗痛风及其并发症的关键靶点强结合,包括HSP90AA1、STAT3、PTGS2、PPARG、MTOR、HIF1A、MMP9、ESR1和TLR4。因此,DST通过抑制黄嘌呤脱氢酶(XDH)降低尿酸水平,调节HIF-1α、EZH2/STAT3和COX-2/PPAR-γ通路减轻炎症,从而减轻痛风及其并发症。此外,它还通过调节神经活性配体-受体相互作用途径和钙离子信号通路发挥镇痛作用。结论:本研究揭示了DST治疗痛风及其并发症的潜在机制,为其临床应用提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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