Investigation of the Molecular Mechanisms Underlying the Therapeutic Effect of Perilla frutescens L. Essential Oil on Acute Lung Injury Using Gas Chromatography-Mass Spectrometry and Network Pharmacology
- Authors: Chen H.1, Bai L.2, Shi Y.3, Zhang X.4, Wang X.4, Wang Y.4, Hu J.5, Zhou P.4
-
Affiliations:
- School of Pharmaceutical and Chemical Engineering,, Yangling Vocational and Technical College
- , Xi'an No.1 Hospital,
- , Shanghai Xuhui District Central Hospital,
- School of pharmacy, Shaanxi University of Chinese Medicine
- School of Pharmaceutical and Chemical Engineering, Yangling Vocational and Technical College
- Issue: Vol 27, No 10 (2024)
- Pages: 1480-1494
- Section: Chemistry
- URL: https://rjeid.com/1386-2073/article/view/643812
- DOI: https://doi.org/10.2174/0113862073244521231003071900
- ID: 643812
Cite item
Full Text
Abstract
Objective:The present study aimed to investigate the molecular mechanism through which Perilla essential oil treats acute lung injury (ALI) through network pharmacology, molecular docking, and in vitro assays.
Methods:Relevant ALI targets of the active ingredients of Perilla essential oil were predicted using the SwissTargetPrediction database and meta TarFisher database. These ALI targets were then screened using GeneCards and DisGeNET, and differentially expressed ALI target genes were identified using the Gene Expression Omnibus (GEO) database. Next, key targets were enriched using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Protein-protein interaction network analysis was performed to obtain targets with the highest degree values for molecular docking with Perilla essential oil active ingredients. For in vitro experiments, lipopolysaccharide (LPS) was used to induce an ALI inflammation model using RAW264.7 cells. The model cells were then treated with Perilla essential oil to detect the protein expression levels of vascular endothelial factor (NO), tumor necrosis factor (TNF-α), and p65 nuclear transcription factor in them.
Results:Sixty-eight key targets of Perilla oil were identified for the treatment of ALI. These targets were found to be involved in biological processes related to peptides, response to lipopolysaccharides, the positive regulation of cytokine production, etc., using GO. The signaling pathways found to be associated with the targets included the AGE-RAGE signaling pathway in diabetic complications, the NF-kappa B signaling pathway, and small cell lung cancer and other inflammatory signaling pathways. The five key targets that showed good binding activity with Perilla oil active ingredients included TNF, RELA, PARP1, PTGS2, and IRAK4. In vitro assays showed that Perilla essential oil could significantly reduce NO and TNF-α levels and inhibit the phosphorylation of nuclear transcription factor P65, thus inhibiting the activation of NF-κB signaling pathway.
Conclusion:Perilla essential oil can play a role in the treatment of ALI by inhibiting the activation of the NF-κB signaling pathway and preventing an excessive inflammatory response. This study thus provides a reference for the in-depth study of the mechanisms through which Perilla essential oil treats ALI.
About the authors
Hou Chen
School of Pharmaceutical and Chemical Engineering,, Yangling Vocational and Technical College
Author for correspondence.
Email: info@benthamscience.net
Lu Bai
, Xi'an No.1 Hospital,
Email: info@benthamscience.net
Yanqiong Shi
, Shanghai Xuhui District Central Hospital,
Email: info@benthamscience.net
Xiaofei Zhang
School of pharmacy, Shaanxi University of Chinese Medicine
Email: info@benthamscience.net
Xuan Wang
School of pharmacy, Shaanxi University of Chinese Medicine
Email: info@benthamscience.net
Yujiao Wang
School of pharmacy, Shaanxi University of Chinese Medicine
Email: info@benthamscience.net
Jiadong Hu
School of Pharmaceutical and Chemical Engineering, Yangling Vocational and Technical College
Email: info@benthamscience.net
Peijie Zhou
School of pharmacy, Shaanxi University of Chinese Medicine
Email: info@benthamscience.net
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Supplementary files
