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整合网络药理学与分子对接技术以探究丹参酮IIA改善慢性阻塞性肺疾病的药理机制

Integrating network pharmacology and molecular docking to explore the pharmacological mechanism of tanshinone IIA in improving chronic obstructive pulmonary disease.

作者信息

Liu Huaiquan, Yang Shili, Chen Bo, Shao Shuoshuo, Zhang Xinyan

机构信息

Guizhou University of Traditional Chinese Medicine, Guiyang, China.

出版信息

Medicine (Baltimore). 2025 Mar 21;104(12):e41638. doi: 10.1097/MD.0000000000041638.

Abstract

This study explores the mechanism of action of tanshinone IIA in the treatment of chronic obstructive pulmonary disease (COPD) using network pharmacology and molecular docking. The targets of tanshinone IIA were searched by Swiss Target Prediction Database, PharmMapper Database, SuperPred Database, and TargetNet Database. The targets of COPD were obtained by Genecards Database, OMIM Database, and Therapeutic Target Database, then the intersection targets were selected as the targets of tanshinone IIA in the treatment of COPD. The intersecting targets were imported into the STRING database to obtain the PPI network and the top10 relevant targets, and GO enrichment and KEGG signaling pathway analysis were performed by R language. Core targets were obtained by taking the intersection of Top5 GO and KEGG corresponding targets with Top10 targets in PPI. Then tanshinone IIA was molecularly docked to the screened core target protein receptors by AutoDock Vina software. Tanshinone IIA included 442 potential targets and 979 COPD-associated targets, and 104 intersecting targets were obtained by taking the intersection of the two. The PPI network showed that ALB, EGFR, CASP3, MMP9, PTGS2, NFKB1, ESR1, SRC, PPARG, and HSP90AA1 were the top 10 relevant targets. GO enrichment analyses showed that the main components involved were the response to response to lipopolysaccharide, response to molecule of bacterial origin, positive regulation of cytokine production, positive regulation of MAPK cascade, and positive regulation of kinase activity. KEGG signaling pathway analysis revealed major involvement in prostate cancer, AGE-RAGE signaling pathway in diabetic complications, Hepatitis B, PI3K-Akt signaling pathway, relaxin signaling pathway. EGFR, CASP3, MMP9, NFKB1, SRC, and HSP90AA1 were the 6 core targets. Molecular docking showed that the binding energies of tanshinone IIA and the core target were all less than ≤-5.0 kcal/mol, demonstrating good affinity. The treatment of COPD with tanshinone IIA involves multiple signaling pathways and biological processes, and its binding to the key targets of EGFR, CASP3, MMP9, NFKB1, SRC, and HSP90AA1 may be one of the important mechanisms of its action, which provides new theoretical ideas for the subsequent treatment of COPD with tanshinone IIA.

摘要

本研究运用网络药理学和分子对接技术,探索丹参酮IIA治疗慢性阻塞性肺疾病(COPD)的作用机制。通过瑞士靶点预测数据库、PharmMapper数据库、SuperPred数据库和TargetNet数据库搜索丹参酮IIA的靶点。通过Genecards数据库、OMIM数据库和治疗靶点数据库获取COPD的靶点,然后选择交集靶点作为丹参酮IIA治疗COPD的靶点。将交集靶点导入STRING数据库以获得蛋白质-蛋白质相互作用(PPI)网络和前10个相关靶点,并通过R语言进行基因本体(GO)富集分析和京都基因与基因组百科全书(KEGG)信号通路分析。通过取PPI中前10个靶点与GO和KEGG对应靶点中前5个靶点的交集获得核心靶点。然后利用AutoDock Vina软件将丹参酮IIA与筛选出的核心靶点蛋白受体进行分子对接。丹参酮IIA包括442个潜在靶点和979个COPD相关靶点,两者取交集得到104个交集靶点。PPI网络显示,白蛋白(ALB)、表皮生长因子受体(EGFR)、半胱天冬酶3(CASP3)、基质金属蛋白酶9(MMP9)、前列腺素内过氧化物合酶2(PTGS2)、核因子κB亚基1(NFKB1)、雌激素受体1(ESR1)、原癌基因酪氨酸蛋白激酶(SRC)、过氧化物酶体增殖物激活受体γ(PPARG)和热休克蛋白90α家族成员1(HSP90AA1)是前10个相关靶点。GO富集分析表明,主要涉及的成分包括对脂多糖的反应、对细菌来源分子的反应、细胞因子产生的正调控、丝裂原活化蛋白激酶(MAPK)级联反应的正调控以及激酶活性的正调控。KEGG信号通路分析显示主要涉及前列腺癌、糖尿病并发症中的晚期糖基化终末产物受体(AGE-RAGE)信号通路、乙型肝炎、磷脂酰肌醇-3激酶/蛋白激酶B(PI3K-Akt)信号通路、松弛素信号通路。EGFR、CASP3、MMP9、NFKB1、SRC和HSP90AA1是6个核心靶点。分子对接表明,丹参酮IIA与核心靶点的结合能均小于≤-5.0千卡/摩尔,显示出良好的亲和力。丹参酮IIA治疗COPD涉及多个信号通路和生物学过程,其与EGFR、CASP3、MMP9、NFKB1、SRC和HSP90AA1等关键靶点的结合可能是其作用的重要机制之一,为后续丹参酮IIA治疗COPD提供了新的理论思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2023/11936567/903d40214fe5/medi-104-e41638-g001.jpg

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