ArticleInternational journal of chronic obstructive pulmonary disease2024
Network Pharmacology and Experimental Verification Reveal the Regulatory Mechanism of Chuanbeimu in Treating Chronic Obstructive Pulmonary Disease.
Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Revealing key antioxidant compounds and mechanisms in Fritillaria Bulbus by metabolomics and network pharmacology.NPJ science of food · 2025Article
- Potential mechanisms of ZiGongDing in treating HPV-induced cervical intraepithelial neoplasia: a network pharmacology and experimental verification study.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Evaluation of the Efficacy of Jiangqi Dingchuan Pill Based on Network Pharmacology Analysis and Cigarette Smoke and Lipopolysaccharide Induced Chronic Obstructive Pulmonary Disease Rat Model.International journal of chronic obstructive pulmonary disease · 2025Article
- Upregulation of ARHGAP18 by miR-613 Inhibits Cigarette Smoke Extract-Induced Apoptosis and Epithelial-Mesenchymal Transition in Bronchial Epithelial Cells.International journal of chronic obstructive pulmonary disease · 2025Article
- Revealing the Mechanism of Esculin in Treating Renal Cell Carcinoma Based on Network Pharmacology and Experimental Validation.Biomolecules · 2024Article
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
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Abstract
Background: Chronic obstructive pulmonary disease (COPD) is a common respiratory disorder in pulmonology. Chuanbeimu (CBM) is a traditional Chinese medicinal herb for treating COPD and has been widely utilized in clinical practice. However, the mechanism of CBM in the treatment of COPD remains incompletely understood. This study aims to investigate the underlying therapeutic mechanism of CBM for COPD using network pharmacology and experimental approaches. Methods: Active ingredients and their targets were obtained from the Traditional Chinese Medicine Systems Pharmacology database. COPD-associated targets were retrieved from the GeneCards database. The common targets for CBM and COPD were identified through Venn diagram analysis. Protein-protein interaction (PPI) networks and disease-herb-ingredient-target networks were constructed. Subsequently, the results of the network pharmacology were validated by molecular docking and in vitro experiments. Results: Seven active ingredients and 32 potential targets for CBM were identified as closely associated with COPD. The results of the disease-herb-ingredient-target network and PPI network showed that peimisine emerged as the core ingredient, and Conclusion: These findings indicate that CBM may modulate the expression of
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