|
Exploring the mechanism of Shensu Mixture treating diabetic nephropathy based on network pharmacology and molecular docking |
Hits 143 Download times 38 Received:May 03, 2024 |
View Full Text View/Add Comment Download reader |
DOI
10.11656/j.issn.1673-9043.2024.11.04 |
Key Words
Shensu Mixture;diabetic nephropathy;network pharmacology;molecular docking |
Author Name | Affiliation | E-mail | LIU Chenpei | First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China | | LIN Yan | First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China | liny7154@163.com |
|
Abstract
|
[Objective] Based on network pharmacology and molecular docking technology, this paper explored the mechanism of Shensu Mixture which is a representative prescription of “Xintong Changluo Method” put forward by Professor CAO Shili, treating diabetic nephropathy(DN). [Methods] Active ingredients of Shensu Mixture were screened on TCMSP and BATMAN platform. The relevant targets of active ingredients were obtained by using R studio software and abbreviations of target names were added and normalized with the Uniprot database information. Targets of DN were obtained by Gene Cards, OMIM and CTD database. The intersection targets were obtained using the online mapping platform of Venn Diagram. Network diagram was visualized via Cytoscape software. The intersection targets were input into STRING database for analysis, protein-protein interaction(PPI) network diagram was constructed, Gene Ontology(GO) as well as Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis were performed. [Results] A total of 66 active ingredients, 504 targets of Shensu Mixture and 2646 DN targets were obtained. There were totally 243 intersection targets and 241 PPI targets(2 dissociate targets were deleted), including ALB, AKT1, IL-6, TNF, INS, IL-1β, etc. GO enrichment analysis mainly involved DNA-binding transcription factor binding, RNA polymerase Ⅱ-specific DNA-binding transcription factor binding, receptor ligand activity, etc. KEGG enrichment analysis mainly involved Lipid and atherosclerosis, human cytomegalovirus infection, fluid shear stress and atherosclerosis, etc. [Conclusion] Shensu Mixture may treat DN through multiple targets and pathways, this paper provided theoretical basis for its clinical use. |
|
|
|
|
|