Loading…

Study on the mechanism of Fufang E'jiao Jiang on precancerous lesions of gastric cancer based on network pharmacology and metabolomics

Fufang E'jiao Jiang (FEJ) is a prominent traditional Chinese medicine prescription, which consists of Asini Corii Colla (Donkey-hide gelatin prepared by stewing and concentrating from the hide of Equus asinus Linnaeus., ACC), Codonopsis Radix (the dried roots of Codonopsis pilosula (Franch.) Na...

Full description

Saved in:
Bibliographic Details
Published in:Journal of ethnopharmacology 2023-03, Vol.304, p.116030-116030, Article 116030
Main Authors: Shi, Wen-bo, Wang, Zi-xia, Liu, Hai-bin, Jia, Yan-jun, Wang, Yan-ping, Xu, Xu, Zhang, Yan, Qi, Xiao-dan, Hu, Fang-Di
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fufang E'jiao Jiang (FEJ) is a prominent traditional Chinese medicine prescription, which consists of Asini Corii Colla (Donkey-hide gelatin prepared by stewing and concentrating from the hide of Equus asinus Linnaeus., ACC), Codonopsis Radix (the dried roots of Codonopsis pilosula (Franch.) Nannf., CR), Ginseng Radix et Rhizoma Rubra (the steamed and dried root of Panax ginseng C.A. Mey., GRR), Crataegi Fructus (the mature fruits of Crataegus pinnatifida Bunge., CF), and Rehmanniae Radix Praeparata (the steamed and sun dried tuber of Rehmannia glutinosa (Gaertn.) Libosch. ex Fisch. & C.A. Mey., RRP). It is a popularly used prescription for “nourishing Qi and nourishing blood”. To explore the potential mechanism of FEJ on precancerous lesion of gastric cancer in rats by combining network pharmacology and metabolomics. Traditional Chinese Medicine Systems Pharmacology and Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine were used to identify the ingredients and potential targets of FEJ. GeneCards database was used to define PLGC-associated targets. We built a herb-component-disease-target network and analyzed the protein-protein interaction network. Underlying mechanisms were identified using Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. In addition, 40% ethanol, N-methyl-N′-nitro-N-nitroguanidine and irregular eating were used to establish PLGC rats model. We also evaluated the efficacy of FEJ on MNNG-induced PLGC rats by body weight, histopathology, blood routine and cytokine levels, while the predicted pathway was determined by the Western blot. Ultra-performance liquid chromatography-tandem mass spectrometry-based serum non-targeted metabolomics was used to select potential biomarkers and relevant pathways for FEJ in the treatment of PLGC. Network pharmacology showed that FEJ exhibited anti-PLGC effects through regulating ALB, TNF, VEGFA, TP53, AKT1 and other targets, and the potential pathways mainly involved cancer-related, TNF, PI3K-AKT, HIF-1, and other signaling pathways. Animal experiments illustrated that FEJ could suppress inflammation, regulate gastrointestinal hormones, and inhibit the expression of PI3K/AKT/HIF-1α pathway-related proteins. Based on serum non-targeted metabolomics analysis, 12 differential metabolites responding to FEJ treatment were identified, and metabolic pathway analysis showed that the role of FEJ was concentrated in 6 metabolic pathways. Based on network pharmac
ISSN:0378-8741
1872-7573
DOI:10.1016/j.jep.2022.116030