Revealing the Anti‐Inflammatory Mechanisms of Zingiber officinale Roscoe Through Network Pharmacology and Experimental Validation

小桶 计算生物学 系统药理学 化学 体外 药理学 作用机理 信号转导 系统生物学 交互网络 体外毒理学 行动方式 对接(动物) 基因 生物活性 中医药 分子药理学 基因调控网络 数量结构-活动关系 基因表达 轨道轨道 活性成分
作者
Jiaqi Guo,Sun Y,Xuegui Liu,Lixin Zhang,Danqi Li
出处
期刊:Biomedical Chromatography [Wiley]
卷期号:40 (9): e70556-e70556
标识
DOI:10.1002/bmc.70556
摘要

A comprehensive approach combining network pharmacology and in vitro validation was employed to systematically elucidate the anti-inflammatory mechanisms of Zingiber officinale Roscoe. First, its components were preliminarily identified via UPLC-Q-Exactive Orbitrap MS/MS, whose targets were obtained from the Swiss Target Prediction database and the Traditional Chinese Medicine Systems Pharmacology database. Inflammation-related targets were retrieved from GeneCards and OMIM databases. Overlapping targets between compound-related and inflammation-related genes were identified, followed by the construction of PPI networks and component-target networks. Subsequent GO and KEGG pathway enrichment analyses were performed. Through network pharmacology analysis, 6-Shogaol (20), 8-Shogaol (24), and 8-Gingerol (19) emerged as core active components, while AKT1, MAPK3, EGFR, SRC, and STAT3 were identified as key targets. KEGG enrichment analysis revealed that the anti-inflammatory effects were primarily associated with AGE-RAGE, PI3K-Akt, MAPK, TNF, and IL-17 signaling pathways. Subsequently, molecular docking was employed to validate the binding affinity between core components and key targets. Finally, anti-inflammatory activity was validated in vitro using the LPS-stimulated RAW 264.7 macrophage model, and gene expression was assessed via qRT-PCR. Collectively, this study elucidates the active constituents and molecular mechanisms underlying the anti-inflammatory action of Z. officinale, providing a theoretical basis for its development, utilization, and clinical application.
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