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基于网络药理学的银芩口服液治疗慢性咽炎的作用机制。

Mechanism of Yinqin Oral Liquid in the Treatment of Chronic Pharyngitis Based on Network Pharmacology.

机构信息

Laboratory of Clinical Pharmacy, The Affiliated Suzhou Science and Technology Town Hospital of Nanjing Medical University, Suzhou, People's Republic of China.

College of Pharmacy, Nanjing Medical University, Nanjing, People's Republic of China.

出版信息

Drug Des Devel Ther. 2021 Oct 20;15:4413-4421. doi: 10.2147/DDDT.S324139. eCollection 2021.

DOI:10.2147/DDDT.S324139
PMID:34707348
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8542895/
Abstract

BACKGROUND

Yinqin oral liquid (YOL) has curative effect for upper respiratory tract infections, especially for chronic pharyngitis (CP). Since the traditional Chinese herbal formulae are complicated, the pharmacological mechanism of YOL remains unclear. The aim of this work was to explore the active ingredients and mechanisms of YOL against CP.

METHODS

First, the profile of putative target of YOL was predicted based on structural and functional similarities of all available YOL components, which were obtained from the Drug Bank database, to the known drugs using TCMSP. The chemical constituents and targets of honeysuckle, scutellaria, bupleurum and cicada were searched by TCMSP, CTD, GeneCards and other databases were used to query the CP-related genes, which were searched by UniProt database. Thereafter, the interactions network between compounds and overlapping genes was constructed, visualized, and analyzed by Cytoscape software. Finally, pathway enrichment analysis of overlapping genes was carried out on Database for Annotation, Visualization, and Integrated Discovery (DAVID) platform.

RESULTS

The pathway enrichment analysis showed 55 compounds and 113 corresponding targets in the compound-target network, and the key targets involved PTGS1, ESR2, GSK3β, NCOA2, ESR1. The PPI core network contained 30 proteins, including VEGFA, IL6, ESR1, RELA and HIF1A. A total of 148 GO items were obtained (<0.05), 102 entries on biological process (BP), 34 entries on biological process (BP) and 12 entries on cell composition (CC) were included. A total of 46 signaling pathways were obtained by KEGG pathway enrichment screening (<0.05), involving cancer, PI3K-AKT, hepatitis, proteoglycans, p53, HIF-1 signaling pathways.

CONCLUSION

These results collectively indicate YOL (including the main ingredients luteolin and baicalein) as a highly effective therapeutic agent for anti-inflammation, through the NF-kB pathway.

摘要

背景

银芩口服液(YOL)对上呼吸道感染具有疗效,尤其对慢性咽炎(CP)有效。由于中药方剂复杂,YOL 的药理机制尚不清楚。本工作旨在探讨 YOL 治疗 CP 的活性成分和机制。

方法

首先,基于所有可用 YOL 成分的结构和功能相似性,从 Drug Bank 数据库中预测 YOL 的潜在靶标,然后使用 TCMSP 对已知药物进行预测。通过 TCMSP、CTD、GeneCards 等数据库搜索金银花、黄芩、柴胡和蝉蜕的化学成分和靶点,使用 UniProt 数据库查询 CP 相关基因。然后,使用 Cytoscape 软件构建、可视化化合物和重叠基因的相互作用网络。最后,在数据库检索工具(DAVID)平台上对重叠基因进行通路富集分析。

结果

通路富集分析显示,化合物-靶标网络中有 55 种化合物和 113 个相应靶标,关键靶标涉及 PTGS1、ESR2、GSK3β、NCOA2、ESR1。PPI 核心网络包含 30 种蛋白质,包括 VEGFA、IL6、ESR1、RELA 和 HIF1A。共获得 148 个 GO 项目(<0.05),其中 102 个条目涉及生物学过程(BP),34 个条目涉及细胞组成(CC),12 个条目涉及细胞组成(CC)。通过 KEGG 通路富集筛选共获得 46 个信号通路(<0.05),涉及癌症、PI3K-AKT、肝炎、蛋白聚糖、p53、HIF-1 信号通路。

结论

这些结果共同表明,YOL(包括主要成分木犀草素和黄芩苷)通过 NF-kB 通路作为一种有效的抗炎治疗剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/d77acede569b/DDDT-15-4413-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/a434aea5b8b3/DDDT-15-4413-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/52b42298ef9f/DDDT-15-4413-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/25577af13e88/DDDT-15-4413-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/d77acede569b/DDDT-15-4413-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/a434aea5b8b3/DDDT-15-4413-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/52b42298ef9f/DDDT-15-4413-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/25577af13e88/DDDT-15-4413-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18a/8542895/d77acede569b/DDDT-15-4413-g0004.jpg

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