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基于网络药理学和分子对接技术的清肺骨金汤治疗骨肉瘤的活性成分及潜在机制研究。

Research of the Active Components and Potential Mechanisms of Qingfei Gujin Decoction in the Treatment of Osteosarcoma Based on Network Pharmacology and Molecular Docking Technology.

机构信息

Department of Oncology, Hangzhou Third People's Hospital, Hangzhou, China.

Department of Oncology, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Comput Math Methods Med. 2022 Nov 23;2022:7994425. doi: 10.1155/2022/7994425. eCollection 2022.

Abstract

AIM

Qingfei Gujin Decoction (QGD) has been shown to be effective against osteosarcoma. This research was aimed at investigating the main active ingredients and potential mechanisms of QGD acting on osteosarcoma through network pharmacology and molecular docking techniques.

METHODS

The active ingredients and targets of QGD were screened from the TCMSP database, and the predicted targets were obtained from the PharmMapper database. Meanwhile, the targets of osteosarcoma were collected using OMIM, PharmGKB, and DisGeNET databases. Then, GO and KEGG enrichment analyses were performed by RStudio. PPI and drug-ingredient-target networks were constructed using Cytoscape 3.2.1 to screen the major active ingredients, key networks, and targets. Finally, molecular docking of key genes and their regulatory active ingredients was performed using AutoDockTools 1.5.6 software.

RESULTS

38 active ingredients were collected, generating 89 cross-targets; quercetin, luteolin, -sitosterol, and kaempferol were the main active ingredients of QGD acting on osteosarcoma, and major signaling pathways such as PI3K-Akt signaling pathway, MAPK signaling pathway, and IL-17 signaling pathway were observed. TP53, SRC, and ESR1 were identified as key proteins that docked well with their regulated compounds.

CONCLUSION

QGD is effective against osteosarcoma through multicomponent, multitarget, and multipathway. This study was helpful for finding effective targets and compounds for osteosarcoma treatment.

摘要

目的

清肺古文汤(QGD)已被证明对骨肉瘤有效。本研究旨在通过网络药理学和分子对接技术,研究 QGD 对骨肉瘤的主要活性成分和潜在作用机制。

方法

从 TCMSP 数据库中筛选 QGD 的活性成分和靶点,从 PharmMapper 数据库中预测靶点。同时,从 OMIM、PharmGKB 和 DisGeNET 数据库中收集骨肉瘤的靶点。然后,使用 RStudio 进行 GO 和 KEGG 富集分析。使用 Cytoscape 3.2.1 构建 PPI 和药物-成分-靶点网络,筛选主要活性成分、关键网络和靶点。最后,使用 AutoDockTools 1.5.6 软件对关键基因及其调控活性成分进行分子对接。

结果

共收集到 38 个活性成分,生成 89 个交叉靶点;槲皮素、木樨草素、β-谷甾醇和山奈酚是 QGD 作用于骨肉瘤的主要活性成分,观察到 PI3K-Akt 信号通路、MAPK 信号通路和 IL-17 信号通路等主要信号通路。TP53、SRC 和 ESR1 被确定为与调节化合物结合良好的关键蛋白。

结论

QGD 通过多成分、多靶点和多途径对骨肉瘤有效。本研究有助于寻找治疗骨肉瘤的有效靶点和化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bea/9713469/b32582fbea2f/CMMM2022-7994425.001.jpg

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