关键词: UPLC-MS/MS anti-inflammation molecular mechainsm network pharmacology pycnogenol

来  源:   DOI:10.3389/fphar.2024.1408304   PDF(Pubmed)

Abstract:
Introduction: Pycnogenol (PYC), a standardized extract from French maritime pine, has traditionally been used to treat inflammation. However, its primary active components and their mechanisms of action have not yet been determined. Methods: This study employed UPLC-MS/MS (Ultra-high performance liquid chromatography-tandem mass spectrometry) and network pharmacology to identify the potential active components of PYC and elucidate their anti-inflammatory mechanisms by cell experiments. Results: 768 PYC compounds were identified and 19 anti-inflammatory compounds were screened with 85 target proteins directly involved in the inflammation. PPI (protein-protein interaction) analysis identified IL6, TNF, MMP9, IL1B, AKT1, IFNG, CXCL8, NFKB1, CCL2, IL10, and PTGS2 as core targets. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis suggested that the compound in PYC might exert anti-inflammatory effects through the IL17 and TNF signal pathways. Cell experiments determined that PYC treatment can reduce the expression of IL6 and IL1β to relieve inflammation in LPS (lipopolysaccharide)-induced BV2 cells. Conclusion: PYC could affect inflammation via multi-components, -targets, and -mechanisms.
摘要:
简介:碧萝精(PYC),法国海洋松树的标准化提取物,传统上用于治疗炎症。然而,其主要活性成分及其作用机制尚未确定。方法:本研究采用超高效液相色谱-串联质谱(UPLC-MS/MS)和网络药理学鉴定PYC的潜在活性成分,并通过细胞实验阐明其抗炎机制。结果:鉴定出768个PYC化合物,筛选出19个抗炎化合物,其中85个靶蛋白直接参与炎症。PPI(蛋白质-蛋白质相互作用)分析确定了IL6、TNF、MMP9,IL1B,AKT1,IFNG,CXCL8、NFKB1、CCL2、IL10和PTGS2为核心靶标。KEGG(京都基因和基因组百科全书)富集分析表明,PYC中的化合物可能通过IL17和TNF信号途径发挥抗炎作用。细胞实验确定,PYC处理可以减少LPS(脂多糖)诱导的BV2细胞中IL6和IL1β的表达以减轻炎症。结论:PYC可通过多成分影响炎症,-目标,和-机制。
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