通过网络药理学、分子对接和实验验证,揭示神机妙算方治疗慢性阻塞性肺疾病的作用机理。

Yang Qinjun, Yin Dandan, Wang Hui, Gao Yating, Wang Xinheng, W U Di, Tong Jiabing, Wang Chuanbo, L I Zegeng
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引用次数: 0

摘要

目的通过网络药理学、分子对接和实验验证,揭示神机妙算方(SQTS)治疗慢性阻塞性肺疾病(COPD)的潜在机理:方法:利用多个开源数据库和与中药或化合物相关的研究,筛选 SQTS 的有效成分和相应的潜在靶点。通过京都基因组百科全书(KEGG)和基因本体(GO)分析,初步确定了筛选出的蛋白-蛋白相互作用网络中的枢纽基因、相关分子机制和基因调控,并通过分子对接进一步确认了主要成分与核心靶点的相互作用。在 COPD 合并气虚综合征大鼠模型上进行了体内实验,以验证干预效果并预测 SQTS 的潜在分子机制:结果:这项研究筛选出了 156 种活性化合物和 326 个治疗慢性阻塞性肺病的候选靶点。槲皮素、金没药醇、山柰醇、木犀草素、人参皂苷 Rh2 和福莫西汀可能是 SQTS 治疗慢性阻塞性肺病的主要活性化合物,因为它们影响了最多的慢性阻塞性肺病相关靶点,包括白细胞介素-1(IL-6)、转录信号转导激活因子 3(STAT3)、基质金属蛋白酶-9(MMP-9)、白细胞介素-1(IL-6)、转录信号转导激活因子 3(STAT3)、基质金属蛋白酶-9(MMP-9)和白细胞介素-1(IL-6)、基质金属蛋白酶-9(MMP9)、血管内皮生长因子 A(VEGFA)、蛋白激酶 B(AKT1)、低氧诱导因子-1α(HIF-1α)和叉头盒 O3(FoxO3)被确定为与其治疗效果相关的枢纽基因。KEGG分析主要富集于与炎症、免疫和氧化应激密切相关的信号通路,如HIF-1、肿瘤坏死因子(TNF)、磷脂酰肌醇3激酶(PI3K)-AKT、FoxO、细胞凋亡、IL-17和类毒素受体。分子对接证实,主要活性成分与枢纽基因具有良好的亲和性。体内实验发现,SQTS能改善慢性阻塞性肺病大鼠模型的体重、竭力游泳时间、尾悬不动时间和挣扎时间、气道炎症、肺功能和炎症因子。SQTS可下调慢性阻塞性肺病大鼠体内p-PI3K、p-AKT、HIF-1α、FoxO3α、类毒素受体4、VEGFA、Caspase 3、TNF-α和IL-17的上调,这与网络药理学结果一致:本研究提供了 SQTS 通过抑制免疫炎症和氧化应激相关通路在抗炎中发挥关键作用的证据,表明 SQTS 是治疗慢性阻塞性肺病的候选草药,值得进一步研究。
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Uncovering the action mechanism of Shenqi Tiaoshen formula in the treatment of chronic obstructive pulmonary disease through network pharmacology, molecular docking, and experimental verification.

Objective: To reveal the potential underlying mechanism of the Shenqi Tiaoshen formula (, SQTS) in the treatment of chronic obstructive pulmonary disease (COPD) by utilizing network pharmacology, molecular docking, and experimental verification.

Methods: Multiple open-source databases and research related to Traditional Chinese Medicine or compounds were employed to screen active ingredients and corresponding potential targets of the SQTS. The protein-protein interaction network screened hub genes, the relevant molecular mechanism and gene regulation were initially identified through the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis, and molecular docking was used to confirm further the interaction of the main components bound to the core targets. In vivo experiments on the COPD combined Qi-deficiency syndrome rat model were performed to verify the intervention effects and predicted potential molecular mechanisms of the SQTS.

Results: This study selected 156 active compounds and 326 candidate targets for treating COPD. Quercetin, Nobiletin, Kaempferol, Luteolin, Ginsenoside Rh2 and Formononetin were probably the main active compounds of SQTS in COPD treatment as they affected the most COPD-related targets, and interleukin-1 (IL-6), signal transducing activator of transcription 3 (STAT3), matrix metalloproteinase-9 (MMP9), vascular endothelial growth factor A (VEGFA), protein kinase B (AKT1), hypoxia-inducible factor-1α (HIF-1α), and forkhead box O3 (FoxO3) were identified as the hub genes associated with its therapeutic effect. KEGG analysis was mainly enriched in the signaling pathways closely related to inflammation, immunity and oxidative stress, such as HIF-1, tumor necrosis factor (TNF), phosphatidylinositol 3 kinase (PI3K)-AKT, FoxO, apoptosis, IL-17, and toll-like receptor. Molecular docking confirmed that the main active components shared a good affinity with the hub genes. In vivo experiments, the SQTS was found to improve the body weight, exhaustive swimming time, tail-hanging immobility time and struggle times, airway inflammation, lung functions, and inflammatory factors in the rat model of COPD. The up-regulation of p-PI3K, p-AKT, HIF-1α, FoxO3α, toll like receptor 4, VEGFA, Caspase 3, TNF-α, and IL-17 in COPD rats were down-regulated by SQTS, consistent with the network pharmacology results.

Conclusions: This study provides evidence that the SQTS plays a critical role in anti-inflammation via suppressing immune inflammation and oxidative stress related pathways, indicating that the SQTS is a candidate herbal drug for further investigation in treating COPD.

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