Based on Network Pharmacology and Molecular Docking to Discuss the Mechanism of Antitussive and Expectorant Action of Ruanerli

LUO Huiying; WU Bumei; MA Tianyue; ZHANG Wenli; FANG Caixia; WEI Yongbo; CHEN Fubin

doi:10.13386/j.issn1002-0306.2023010103

Volume 44 Issue 23

Nov. 2023

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Science and Technology of Food Industry > 2023 > 44(23): 11-20. > DOI: 10.13386/j.issn1002-0306.2023010103

LUO Huiying, WU Bumei, MA Tianyue, et al. Based on Network Pharmacology and Molecular Docking to Discuss the Mechanism of Antitussive and Expectorant Action of Ruanerli[J]. Science and Technology of Food Industry, 2023, 44(23): 11−20. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023010103.

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Based on Network Pharmacology and Molecular Docking to Discuss the Mechanism of Antitussive and Expectorant Action of Ruanerli

1.
College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China
2.
Key Laboratory of Pharmacology and Toxicology for Traditional Chinese Medicine of Gansu Province, Lanzhou 730000, China
3.
Lanzhou Agrotechnical Research and Popularization Center, Lanzhou 730000, China
4.
School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China
5.
Bailutong Melon and Fruit Farmer Cooperatives, Lanzhou 730200, China
6.
Shichuan Agriculture and Rural Comprehensive Service Center, Lanzhou 730200, China

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Received Date: January 15, 2023
Available Online: October 03, 2023

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Abstract

Abstract

The antitussive and expectorant effects of Ruanerli and its mechanism were investigated by methods of network pharmacology. The outcomes predicted were verified by molecular docking and animal experiments. The components and targets of Ruanerli were obtained by literature investigation and TCMSP database screen. Mapping with two groups of genes related to "cough" and "sputum" from GeneCards database, the target genes of antitussive and expectorant effects of Ruanerli were obtained. GO and KEGG enrichment analysis of the target genes was performed by Metascape platform. The PPI network among the target genes was constructed through STRING data platform. Cytoscape plugin CytoHubba was used to screen the Top10 genes related to antitussive and expectorant effects of Ruanerli, and KEGG pathway enrichment was performed on the Top10 genes through Metascape data platform to predict the possible signal pathways involved in antitussive and expectorant effects of Ruanerli. Autodock Vina was used for molecular docking between the predicted Top10 gene proteins and the Top 3 active ingredients of Ruanerli. Finally, the predicted results were verified by ammonia induced cough test and phenol red excretion test. According to the analysis of multiple databases, 51 chemical components and 282 corresponding targets have been reported, eighty of them were related to the antitussive and expectorant effects of Ruanerli. The Top10 genes selected by Degree value were mainly concentrated in infection and immune-related pathways. Molecular docking test showed that the Top10 genes had strong binding activity with the Top3 chemical components (Caffeic acid, Rutin and Valeraldehyde) in PPI network. Animal experiments showed that the cough induced by ammonia was significantly inhibited when treated with Ruanerli in mice. The levels of IL-6 and IL-13 in serum were reduced and the excretion of phenol red in mice trachea was increased. PCR and WB detection showed that the mRNA levels and protein expressions of inflammatory genes IL6, IL1B, VEGFA, PTGS2 and MAPK3 were decreased, suggesting that the antitussive and expectorant effects of Ruanerli might be related to decreasing the expression of inflammatory genes and the release of inflammatory factors.
- network pharmacology,
- molecular docking,
- Ruanerli,
- antitussive and expectorant effects,
- inflammatory factor

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