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基于网络药理学和实验验证的[具体药物名称]治疗哮喘的活性成分及作用机制研究 (注:原文中“in Asthma Based on Network Pharmacology and Experimental Verification”前缺少具体药物名称,这里补充了[具体药物名称]使句子更完整)

Investigation of the Active Ingredients and Mechanism of in Asthma Based on Network Pharmacology and Experimental Verification.

作者信息

Bi Junjie, Lin Yuhua, Sun Yipeng, Zhang Mengzhe, Chen Qingge, Miu Xiayi, Tang Lingling, Liu Jinjin, Zhu Linyun, Ni Zhenhua, Wang Xiongbiao

机构信息

Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, People's Republic of China.

Department of Laboratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, People's Republic of China.

出版信息

Drug Des Devel Ther. 2021 Mar 9;15:1075-1089. doi: 10.2147/DDDT.S275228. eCollection 2021.

Abstract

BACKGROUND

is a Chinese medicine commonly used to treat phlegm-heat asthma. However, its anti-asthmatic active ingredients and mechanism are still unknown. The aim of this study was to predict the active ingredients and pathways of and to further explore the potential molecular mechanism in asthma by using network pharmacology.

METHODS

The active ingredients and their targets related to were seeked out with the TCM systematic pharmacology analysis platform (TCMSP), and the ingredient-target network was constructed. The GeneCards, DrugBank and OMIM databases were used to collect and screen asthma targets, and then the drug-target-disease interaction network was constructed with Cytoscape software. A target protein-protein interaction (PPI) network was constructed using the STRING database to screen key targets. Finally, GO and KEGG analyses were used to identify biological processes and signaling pathways. The anti-asthmatic effects of and its active ingredients were tested in vitro for regulating airway smooth muscle (ASM) cells proliferation and MUC5AC expression, two main symptoms of asthma, by using Real-time PCR, Western blotting, CCK-8 assays and annexin V-FITC staining.

RESULTS

Twelve active ingredients in and 479 related target proteins were screened in the relevant databases. Among these target proteins, 191 genes had been found to be differentially expressed in asthma. PPI network analysis and KEGG pathway enrichment analysis predicted that the could regulate the AKT, MAPK and apoptosis signaling pathways. Consistently, further in vitro experiments demonstrated that and resveratrol (one active ingredient of ) were shown to inhibit ASM cells proliferation and promoted apoptosis of ASM cells. Furthermore, and resveratrol inhibited PDGF-induced AKT/mTOR activation in ASM cells. In addition, Polygonum cuspidatum decreased HO induced MUC5AC overexpression in airway epithelial NCI-H292 cells.

CONCLUSION

Polygonum cuspidatum could alleviate the symptoms of asthma including ASM cells proliferation and MUC5AC expression through the mechanisms predicted by network pharmacology, which provides a basis for further understanding of in the treatment of asthma.

摘要

背景

是一种常用于治疗痰热型哮喘的中药。然而,其抗哮喘活性成分及作用机制尚不清楚。本研究旨在利用网络药理学预测的活性成分和通路,并进一步探索其在哮喘中的潜在分子机制。

方法

利用中药系统药理学分析平台(TCMSP)筛选与相关的活性成分及其靶点,构建成分-靶点网络。使用GeneCards、DrugBank和OMIM数据库收集和筛选哮喘靶点,然后用Cytoscape软件构建药物-靶点-疾病相互作用网络。利用STRING数据库构建靶蛋白-蛋白相互作用(PPI)网络以筛选关键靶点。最后,采用GO和KEGG分析来识别生物学过程和信号通路。通过实时荧光定量PCR、蛋白质免疫印迹法、CCK-8法和膜联蛋白V-FITC染色,在体外检测及其活性成分对哮喘两个主要症状即气道平滑肌(ASM)细胞增殖和MUC5AC表达的调节作用。

结果

在相关数据库中筛选出中的12种活性成分和479个相关靶蛋白。在这些靶蛋白中,已发现191个基因在哮喘中差异表达。PPI网络分析和KEGG通路富集分析预测,可调节AKT、MAPK和凋亡信号通路。一致地,进一步的体外实验表明,和白藜芦醇(的一种活性成分)可抑制ASM细胞增殖并促进ASM细胞凋亡。此外,和白藜芦醇抑制血小板衍生生长因子(PDGF)诱导的ASM细胞中AKT/mTOR激活。此外,虎杖可降低组胺诱导的气道上皮NCI-H292细胞中MUC5AC的过表达。

结论

虎杖可通过网络药理学预测的机制缓解哮喘症状,包括ASM细胞增殖和MUC5AC表达,这为进一步了解其在哮喘治疗中的作用提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b27/7955765/7dbaba76751b/DDDT-15-1075-g0001.jpg

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