ArticleFrontiers in pharmacology2025
Integrating network pharmacology, quantitative transcriptomic analysis, and experimental validation revealed the mechanism of cordycepin in the treatment of obesity.
Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Effects of dietary supplementation with polyphenolic extracts from Lasia spinosa Thw. roots on reproductive performance in Guangxi Ma Roosters.Poultry science · 2026Article
- Pleiotropic Bioactivity of Caterpillar Fungus, Orange Cordyceps, and Cordycepin: Insight from Integrated Network Pharmacology and Food and Drug Regulatory Framework.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Effect ofInternational journal of endocrinology · 2026Article
- The Effects of Exercise Combined with Pharmacotherapy on Body Composition and Metabolic Parameters in Overweight/Obese Adults: A Meta-Analysis and Network Pharmacology Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- Ethacridine Targets Bacterial Biofilms in Diabetic Foot Ulcers: A Multi-Target Mechanism Revealed by Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and Clinical RT-qPCR Validation.Current issues in molecular biology · 2025Article
- Identify the therapeutic role and potential mechanism of α-cyperone in diminished ovarian reserve based on network pharmacology, molecular docking, Lip-MS and experimental validation.Frontiers in pharmacology · 2025Article
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5 authors.
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Abstract
Introduction: Evidence of the benefits of cordycepin (Cpn) for treating obesity is accumulating, but detailed knowledge of its therapeutic targets and mechanisms remains limited. This study aimed to systematically identify Cpn's therapeutic targets and pathways in Western diet (WD)-induced obesity using integrated network pharmacology, transcriptomics, and experimental validation. Methods: A Western diet (WD)-induced mice model was used to evaluate the effectiveness of Cpn in ameliorating obesity. A network pharmacology analysis was then employed to identify the potential anti-obesity targets of Cpn. GO functional enrichment and KEGG pathway analysis were performed to elucidate the potential functions of the identified targets, followed by constructing a protein-protein interaction network to screen the core targets. Meanwhile, quantitative transcriptomics was conducted to validate and broaden the network pharmacology findings. Finally, molecular docking and quantitative real-time PCR assay were used for the core target validation. Results: Cpn treatment effectively alleviated obesity-related symptoms in WD-induced mice. The metabolic pathway, insulin signaling pathway, HIF-1 signaling pathway, FoxO signaling pathway, lipid and atherosclerosis pathway, and core targets including CPS1, HRAS, MAPK14, PAH, ALDOB, AKT1, GSK3B, HSP90AA1, BHMT2, EGFR, CASP3, MAT1A, APOM, APOA2, APOC3, and APOA1 are involved in regulating the therapeutic effect of Cpn. Conclusion: This study comprehensively uncovers the potential mechanism of Cpn against obesity based on network pharmacology and quantitative transcriptomics, which provides evidence for revealing the pathogenesis of obesity, suggesting that Cpn is a possible lead compound for anti-obesity treatment.
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