Integration of serum pharmacochemistry with network pharmacology to reveal the potential mechanism of Yangqing Chenfei formula for the treatment of silicosis.

H U Yuanyuan, Liu Xinguang, Zhao Peng, W U Jinyan, Yan Xinhua, Hou Runsu, Wang Xiangcheng, Yang Fan, Tian Xinrong, L I Jiansheng
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引用次数: 0

Abstract

Objective: To explore the mechanisms of Yangqing Chenfei formula (, YCF) in the treatment of silicosis through a comprehensive strategy consisting of serum pharmacochemistry, network pharmacology analysis, and in vitro validation.

Methods: An ultrahigh-performance liquid chroma-tography-tandem mass spectrometry method was used to confirm the active components in YCF-medicated serum. Then, we obtained targets for active components and genes for silicosis from multiple databases. Furthermore, a protein-protein interaction network was constructed, and Kyoto Encyclopedia of Genes and Genomes pathway and biological process analyses were conducted to elucidate the mechanisms of YCF for the treatment of silicosis. Finally, we validated the important components and mechanisms in vitro.

Results: Altogether, 19 active components were identified from rat serum after YCF administration. We identified 724 targets for 19 components, which were mainly related to inflammation [phosphatidy linositol 3 kinase/protein kinase B, forkhead box O, hypoxia inducible factor, and T-cell receptor signaling pathway, nitric oxide biosynthetic process], fibrotic processes [vascular endothelial growth factor signaling pathway, extracellular signal regulated kinase (ERK) 1 and ERK2 cascade, smooth muscle cell proliferation], and apoptosis (negative regulation of apoptotic process). In addition, 218 genes for silicosis were identified and were mainly associated with the inflammatory response and immune process [cytokine?cytokine receptor interaction, tumor necrosis factor alpha (TNF-α), toll-like receptor, and nucleotide binding oligomerization domain-like receptor signaling pathway]. Taking an intersection of active component targets and silicosis genes, we obtained 61 common genes that were mainly related to the inflammatory response and apoptosis, such as the phosphatidylinositol-3-kinase/protein kinase B signaling pathway, mitogen activated protein kinases signaling pathway, TNF signaling pathway, toll-like receptor signaling pathway, biosynthesis of nitric oxide, and apoptotic process. In the herb-component-gene-pathway network, paeoniflorin, rutin and nobiletin targeted the most genes. In vitro, paeoniflorin, rutin and nobiletin decreased the mRNA levels of inflammatory factors [interleukin (IL)-6, TNF-α, and IL-1β], suppressed p-AKT and cleaved caspase-3, and increased B cell lymphoma (Bcl)-2 protein expression in silica-induced macrophages in a concentration-dependent manner.

Conclusion: YCF could significantly relieve the inflammatory response of silicosis via suppression of the AKT/Bcl-2/Caspase-3 pathway.

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将血清药理化学与网络药理学相结合,揭示阳清陈妃方治疗矽肺病的潜在机制
目的通过血清药理、网络药理学分析和体外验证等综合策略,探讨阳清陈妃方治疗矽肺的机理:方法:采用超高效液相色谱-串联质谱法确认了YCF药物血清中的活性成分。然后,我们从多个数据库中获得了活性成分的靶标和矽肺病基因。此外,我们还构建了蛋白质-蛋白质相互作用网络,并进行了京都基因和基因组百科全书的通路和生物过程分析,以阐明 YCF 治疗矽肺的机制。最后,我们在体外对重要成分和机制进行了验证:结果:服用 YCF 后,从大鼠血清中总共鉴定出 19 种活性成分。我们为 19 种成分确定了 724 个靶点,这些靶点主要与炎症有关[磷脂酰亚肌醇 3 激酶/蛋白激酶 B、叉头框 O、低氧诱导因子、T 细胞受体信号通路、一氧化氮生物合成过程]、纤维化过程[血管内皮生长因子信号通路、细胞外信号调节激酶(ERK)1 和 ERK2 级联、平滑肌细胞增殖]和细胞凋亡(凋亡过程的负调控)。此外,还发现了 218 个矽肺病基因,这些基因主要与炎症反应和免疫过程有关[细胞因子与细胞因子受体相互作用、肿瘤坏死因子α(TNF-α)、类收费受体和核苷酸结合寡聚域样受体信号通路]。将活性成分靶标与矽肺病基因进行交叉分析,我们得到了61个常见基因,这些基因主要与炎症反应和细胞凋亡有关,如磷脂酰肌醇-3-激酶/蛋白激酶B信号通路、丝裂原活化蛋白激酶信号通路、TNF信号通路、类收费受体信号通路、一氧化氮的生物合成和细胞凋亡过程。在草药-成分-基因-通路网络中,芍药苷、芦丁和金没药苷靶向的基因最多。在体外,芍药苷、芦丁和金没药苷以浓度依赖的方式降低了白细胞介素(IL)-6、TNF-α和IL-1β等炎症因子的mRNA水平,抑制了p-AKT和裂解的caspase-3,并增加了硅诱导的巨噬细胞中B细胞淋巴瘤(Bcl)-2蛋白的表达:结论:YCF可通过抑制AKT/Bcl-2/Caspase-3通路明显缓解矽肺的炎症反应。
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