收藏切换
Mechanism of Platycodon grandiflorum in the treatment of pulmonary fibrosis based on network pharmacology
收藏切换
PDF
Xuan WANG1, Yong XU1, Zi-chen LUO1, Di HAN1, Tong XIE1, Li-li LIN1, Jian-ya XU1, Chen SHI1, *, Jin-jun SHAN1, 2, *
Acta Pharmaceutica Sinica | 2021, 56(11) : 2957 - 2967
Less
收藏切换
Acta Pharmaceutica Sinica | 2021, 56(11): 2957-2967
Special Reports: Recent Advances in Visceral Organ Fibrosis and Antifibrotic Drug Discovery
Mechanism of Platycodon grandiflorum in the treatment of pulmonary fibrosis based on network pharmacology
Full
Xuan WANG1, Yong XU1, Zi-chen LUO1, Di HAN1, Tong XIE1, Li-li LIN1, Jian-ya XU1, Chen SHI1, *, Jin-jun SHAN1, 2, *
Affiliations
  • 1. Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Nanjing University of Chinese Medicine, Nanjing 210023, China
  • 2. Jiangsu Engineering Research Center for Efficient Delivery System of TCM, Nanjing 210023, China
Published: 2021-11-12 doi: 10.16438/j.0513-4870.2021-0932
Outline
收藏切换

The mechanism of Platycodon grandiflorum in the treatment of pulmonary fibrosis was examined by integrated pharmacology network with animal experiment validation. Compositions and targets of Platycodon grandiflorum were collected utilizing databases such as TCMSP and Swiss Target Prediction, whereas pulmonary fibrosis targets were obtained using GeneCards, OMIM, Disgenet, and Drugbank databases. These datasets were merged in order to identify prospective Platycodon grandiflorum targets for the treatment of pulmonary fibrosis. The "drug-component-target-disease" network was constructed with Cytoscape software, and the interaction relationship between potential targets was produced; they were coupled with the String platform to create the PPI network while also doing topological analysis. Then, using R software and the Bioconductor biological information software package, we conduct GO and KEGG enrichment analysis to estimate the therapeutic mechanism. A mouse model of pulmonary fibrosis was constructed for pathological staining, ELISA, lung function, qRT-PCR, and Western blot to validate the results of the network pharmacology. There are 289 putative active components of Platycodon grandiflorum, and 1 129 disease targets for pulmonary fibrosis, for a total of 65 drug-compound-disease common targets. The GO enrichment analysis revealed 1 575 items, whereas the KEGG enrichment analysis yielded 146 entries. The phosphatidylinositol 3 kinase-protein kinase B (PI3K-AKT) signaling pathway, the tumor necrosis factor (TNF) signaling system, and the interleukin-17 (IL-17) signaling pathway were enriched. In animal experiments, Platycodon grandiflorum was found to decrease lung inflammation and collagen deposition in mice with pulmonary fibrosis. According to Western blot results, the expression of PI3K-AKT signaling pathway-related proteins p-PI3K and p-AKT was down-regulated in a dose-dependent manner after Platycodon grandiflorum therapy of pulmonary fibrosis mice. When p-AKT was suppressed, P21 expression was reduced, indicating that Platycodon grandiflorum may control the expression of PI3K-AKT pathway-related proteins to alter cell senescence while treating mice with pulmonary fibrosis. This study uses network pharmacology to identify the targets and pathways of Platycodon grandiflorum against pulmonary fibrosis and conducts related animal experimental validation, providing a foundation for an in-depth discussion of the therapeutic mechanism of Platycodon grandiflorum against pulmonary fibrosis.

Platycodon grandiflorum  /  pulmonary fibrosis  /  network pharmacology  /  PI3K-AKT  /  senescence
Xuan WANG, Yong XU, Zi-chen LUO, Di HAN, Tong XIE, Li-li LIN, Jian-ya XU, Chen SHI, Jin-jun SHAN. Mechanism of Platycodon grandiflorum in the treatment of pulmonary fibrosis based on network pharmacology[J]. Acta Pharmaceutica Sinica, 2021 , 56 (11) : 2957 -2967 . DOI: 10.16438/j.0513-4870.2021-0932
Year 2021 volume 56 Issue 11
PDF
222
99
Cite this Article
BibTeX
Article Info
doi: 10.16438/j.0513-4870.2021-0932
  • Receive Date:2021-06-24
  • Online Date:2025-12-18
  • Published:2021-11-12
Article Data
Affiliations
History
  • Received:2021-06-24
  • Revised:2021-08-16
Funding
Affiliations
    1. Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Nanjing University of Chinese Medicine, Nanjing 210023, China
    2. Jiangsu Engineering Research Center for Efficient Delivery System of TCM, Nanjing 210023, China
References
Share
https://castjournals.cast.org.cn/joweb/yxxb/EN/10.16438/j.0513-4870.2021-0932
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