Year: 2024
Type: article
Abstract: Objective: To further explore the relevant mechanism of action by using network pharmacology and animal experiments. Methods: To predict and screen the potential active ingredients of Mongolian medicine Ran agar-8 powder and its therapeutic targets for bronchial asthma using TCMSP, SwissTargetPredition, Batmant-TCM, GeneCards, OMIM, PharmGkb, TTD and Drug⁃ bank databases. STRING database was used for Protein-proteininteraction (PPI) analysis, and Metascape database was used for GO functional annotation and KEGG pathway enrichment analysis. Results: A total of 54 potentially active ingredients and 2862 disease targets of bronchial asthma were selected, and 181 common targets of bronchial asthma were predicted by veny diagram. Ten core targets including TNF, AKT1, IL6, TP53, IL1B, CASP3, BCL2, PTGS2, HIF1A and MMP9 were identified by PPI network analysis. 10 key components such as quercetin, Β -sitosterol, kaonaphthol, luteolin, stigsterol, meso-1, 4-bis- (4-hydroxy-3-methoxyphenyl) -2, 3-dimethylbutane, naringin, lupine palmitate, cystine, and baicalin were obtained through the
Authors: Yin Long, Ts Tuvshinjargal, Molor-Erdene Perenlei
Institution: Mongolian National University of Medical Sciences
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4403581377