Unraveling the Effective Components and Molecular Mechanisms of Xuanbi Decoction for Treating Gouty Arthritis: An Integrated Approach Using Metabolomics and Network Pharmacology

IF 1.8 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Yundong Xu, Xiaoyu Zhang, Niqin Xiao, Qianqian Yang, Heguo Yan, Hongting Lu, Zhaohu Xie, Zhaofu Li
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引用次数: 0

Abstract

Xuanbi Decoction (XBD) is a classical traditional Chinese medicine (TCM) effective in treating different types of arthritis. This study aimed to integrate metabolomics with network pharmacology to identify active metabolic components of XBD, elucidate its therapeutic targets, and reveal the key signaling pathways involved in the treatment of gout. The study systematically analyzed the material basis and potential mechanisms underlying XBD efficacy in gouty arthritis (GA). First, 352 blood metabolites from XBD were screened by extracting the drug-containing serum and utilizing liquid chromatography–tandem mass spectrometry (LC-MS/MS). Twenty-two key ones were identified through correlation analysis. Two-hundred fifty-five metabolite-related targets and 764 GA-related targets were retrieved from multiple databases. Further analysis of the intersection of targets identified 60 key overlapping targets. PPI network analysis elucidated the interrelationships among the 60 targets. GO and KEGG pathway enrichment analyses were conducted on these crossover targets, identifying 25 GO terms and 20 KEGG pathways. Network diagrams were constructed, featuring “22 metabolites–60 targets–25 GO terms” and “22 metabolites–60 targets–20 KEGG pathways.” Additionally, a comprehensive network map was constructed, featuring “9 XBD drugs–22 active metabolic components–60 core targets–25 signaling pathways,” elucidating the multidimensional intervention mechanism of XBD on GA, offering insights into its clinical application in GA treatment.

玄痹汤治疗痛风性关节炎的有效成分及分子机制:代谢组学和网络药理学的综合研究
玄壁煎(XBD)是一种经典的传统中药,能有效治疗各种类型的关节炎。本研究旨在将代谢组学与网络药理学相结合,以确定宣肺解毒汤的活性代谢成分,阐明其治疗靶点,并揭示参与痛风治疗的关键信号通路。该研究系统分析了XBD在痛风性关节炎(GA)中发挥疗效的物质基础和潜在机制。首先,通过提取含药血清并利用液相色谱-串联质谱法(LC-MS/MS)筛选了352种来自XBD的血液代谢物。通过相关性分析,确定了 22 种关键代谢物。从多个数据库中检索到 255 个代谢物相关靶标和 764 个 GA 相关靶标。对目标交叉的进一步分析发现了 60 个关键重叠目标。PPI 网络分析阐明了这 60 个靶标之间的相互关系。对这些交叉靶点进行了 GO 和 KEGG 通路富集分析,确定了 25 个 GO 术语和 20 个 KEGG 通路。构建了以 "22 个代谢物-60 个靶标-25 个 GO 术语 "和 "22 个代谢物-60 个靶标-20 个 KEGG 通路 "为特征的网络图。此外,还构建了以 "9种XBD药物-22种活性代谢成分-60个核心靶点-25条信号通路 "为特征的综合网络图,阐明了XBD对GA的多维干预机制,为其在GA治疗中的临床应用提供了启示。
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来源期刊
Biomedical Chromatography
Biomedical Chromatography 生物-分析化学
CiteScore
3.60
自引率
5.60%
发文量
268
审稿时长
2.3 months
期刊介绍: Biomedical Chromatography is devoted to the publication of original papers on the applications of chromatography and allied techniques in the biological and medical sciences. Research papers and review articles cover the methods and techniques relevant to the separation, identification and determination of substances in biochemistry, biotechnology, molecular biology, cell biology, clinical chemistry, pharmacology and related disciplines. These include the analysis of body fluids, cells and tissues, purification of biologically important compounds, pharmaco-kinetics and sequencing methods using HPLC, GC, HPLC-MS, TLC, paper chromatography, affinity chromatography, gel filtration, electrophoresis and related techniques.
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