Mechanism of "treating different diseases with the same method" for chronic obstructive pulmonary disease and diabetes with Shenling Baizhu San based on network pharmacology and molecular docking

MA Jing; JIA Tianfeng; MAO Haifei; YANG Jihong

doi:10.7619/jcmp.20244292

Journal of Clinical Medicine in Practice > 2025 > 29(3): 38-45. > DOI: 10.7619/jcmp.20244292

MA Jing, JIA Tianfeng, MAO Haifei, YANG Jihong. Mechanism of "treating different diseases with the same method" for chronic obstructive pulmonary disease and diabetes with Shenling Baizhu San based on network pharmacology and molecular docking[J]. Journal of Clinical Medicine in Practice, 2025, 29(3): 38-45. DOI: 10.7619/jcmp.20244292

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Mechanism of "treating different diseases with the same method" for chronic obstructive pulmonary disease and diabetes with Shenling Baizhu San based on network pharmacology and molecular docking

1.
School of Management, Shanxi Medical University, Taiyuan, Shanxi, 030600
2.
Shanxi University of Chinese Medicine, Taiyuan, Shanxi, 030600

More Information

Received Date: September 17, 2024
Revised Date: December 11, 2024

Graphical Abstract

Abstract

Abstract

Objective
To explore the mechanisms of "treating different diseases with the same method" for chronic obstructive pulmonary disease (COPD) and diabetes mellitus (DM) with Shenling Baizhu San based on network pharmacology and molecular docking.
Methods
Comprehensive databases were searched to collect the active ingredients and targets of Shenling Baizhu San, which were then performed standardized process. Relevant targets for COPD and DM were collected from data platforms such as GeneCards and Online Mendelian Inheritance in Man (OMIM). The intersection targets of the drug and diseases were identified using Venn software, imported into the STRING database to construct a protein-protein interaction (PPI) network, and performed visualized analysis using Cytoscape software. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using R software. Molecular docking and visualization analysis were conducted using the CB-Dock2 platform.
Results
After screening, 215 potential targets of Shenling Baizhu San were obtained. Venn diagram analysis showed that there were 70 potential intersection targets for the treatment of COPD and DM with Shenling Baizhu San. Key active ingredients included quercetin, stigmasterol, kaempferol, sitosterol, and luteolin, while core targets included tumor necrosis factor(TNF), interleukin-6(IL-6), interleukin-β(IL-1β), prostaglandin-endoperoxide synthase 2(PTGS2), and tumor protein p53 (TP53). GO functional enrichment analysis yielded 2, 599 biological process terms, 49 cellular component terms, and 230 molecular function terms. The main pathways obtained from KEGG pathway enrichment analysis included lipid and atherosclerosis, interleukin-17 (IL-17) signaling pathway, TNF signaling pathway, and human cytomegalovirus infection. Molecular docking results showed that stigmasterol had the best docking activity with PTGS2.
Conclusion
Shenling Baizhu San may achieve the "treatment of different diseases with the same method" for COPD and DM through multiple components, multiple targets, and multiple pathways, and there is a certain correlation in the treatment mechanisms of two diseases, providing a theoretical basis and direction for subsequent research.

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References (32)

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Mechanism of "treating different diseases with the same method" for chronic obstructive pulmonary disease and diabetes with Shenling Baizhu San based on network pharmacology and molecular docking