收藏切换
The possible mechanisms of Erhuang decoction in the treatment of acute lung injury based on network pharmacology
收藏切换
PDF
Jing-long WANG1, Bin YANG*, 2, Dan-dan ZHENG3, Li-hua ZHANG1, Xian-jun FU4, Yong-qing ZHANG4, Xiu-mei SUN4, Zhong-xi ZHAO*, 3
Acta Pharmaceutica Sinica | 2021, 56(1) : 244 - 256
Less
收藏切换
Acta Pharmaceutica Sinica | 2021, 56(1): 244-256
Original Articles
The possible mechanisms of Erhuang decoction in the treatment of acute lung injury based on network pharmacology
Full
Jing-long WANG1, Bin YANG*, 2, Dan-dan ZHENG3, Li-hua ZHANG1, Xian-jun FU4, Yong-qing ZHANG4, Xiu-mei SUN4, Zhong-xi ZHAO*, 3
Affiliations
  • 1. College of Food Science and Pharmaceutical Engineering, Zaozhuang University, Zaozhuang 277160, China
  • 2. College of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, China
  • 3. School of Pharmaceutical Sciences, CheeLoo College of Medicine, Shandong University, Jinan 250012, China
  • 4. College of Pharmaceutical Science, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
Published: 2021-01-12 doi: 10.16438/j.0513-4870.2020-1118
Outline
收藏切换

Network pharmacological approaches were used to predict the components, targets and pathways of Erhuang decoction (EhD) in the treatment of acute lung injury (ALI). The SwissTargetPrediction platform, DisGeNET, Therapeutic Target Database (TTD), GeneCards and Online Mendelian Inheritance in Man (OMIM) databases were used to predict potential targets of EhD and were integrated with the predicted targets for the treatment of ALI. A protein-protein interaction network model was constructed by using String database and Cytoscape software; the DAVID platform was used for Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. A network of drug components-targets-pathways was constructed by Cytoscape software and the SwissDock platform was used to dock the molecules of EhD found in blood with the key disease targets. An ALI model was established in mice and inflammatory factor detection and Western blot protein expression experiments with lung tissue sections were carried out to verify the effect of EhD in the treatment of ALI. Animal experiment ethical requirements were approved by the Ethical Committee Experimental Animal Center of Shandong University (Grant Number: 2016020). We identified 148 potential targets including signal transducer and activator of transcription 3 (STAT3), vascular endothelial cell growth factor A (VEGFA), RAC-alpha serine/threonine-protein kinase (AKT1), and nuclear factor-kappa B/p65 (RELA). The potential targets are largely associated with the biological processes of inflammation, oxidative stress, and apoptosis. Additional pathways relate to cancer, VEGF signaling, mitogen-activated protein kinase (MAPK) signaling, and Toll-like receptors (TLRs) signaling, along with other signaling pathways. Pharmacodynamic experiments showed that EhD could significantly reduce the content of inflammatory factors and the degree of lung injury of ALI mice. Western blot revealed that EhD could significantly decrease the expression of NF-κB/p65 and upregulate the expression of NF-kappa-B inhibitor alpha(IκBα). From the perspective of network pharmacology, the mechanisms of EhD in the treatment of ALI is consistent with the characteristics of multiple ingredients, multiple targets and multiple pathways. This research provides a reference for further study of the mechanism of this traditional Chinese medicine.

network pharmacology  /  molecular docking  /  Erhuang decoction  /  acute lung injury  /  target  /  pathway  /  protein expression
Jing-long WANG, Bin YANG, Dan-dan ZHENG, Li-hua ZHANG, Xian-jun FU, Yong-qing ZHANG, Xiu-mei SUN, Zhong-xi ZHAO. The possible mechanisms of Erhuang decoction in the treatment of acute lung injury based on network pharmacology[J]. Acta Pharmaceutica Sinica, 2021 , 56 (1) : 244 -256 . DOI: 10.16438/j.0513-4870.2020-1118
Year 2021 volume 56 Issue 1
PDF
163
61
Cite this Article
BibTeX
Article Info
doi: 10.16438/j.0513-4870.2020-1118
  • Receive Date:2020-07-05
  • Online Date:2025-12-18
  • Published:2021-01-12
Article Data
Affiliations
History
  • Received:2020-07-05
  • Revised:2020-09-08
Funding
Affiliations
    1. College of Food Science and Pharmaceutical Engineering, Zaozhuang University, Zaozhuang 277160, China
    2. College of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, China
    3. School of Pharmaceutical Sciences, CheeLoo College of Medicine, Shandong University, Jinan 250012, China
    4. College of Pharmaceutical Science, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
References
Share
https://castjournals.cast.org.cn/joweb/yxxb/EN/10.16438/j.0513-4870.2020-1118
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT