ArticleMolecular medicine (Cambridge, Mass.)2023
Exploring the mechanism by which aqueous Gynura divaricata inhibits diabetic foot based on network pharmacology, molecular docking and experimental verification.
Article in Molecular medicine (Cambridge, Mass.), 2023. 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, 8 citations in OpenAlex.
- Advances in Chinese herbal medicine for diabetic wound treatment: from tradition to innovation.Chinese medicine · 2026Review
- Efficacy and safety of external phytotherapy in diabetic foot ulcers: a GRADE-assessed systematic review and meta-analysis of randomized controlled trials.Diabetology & metabolic syndrome · 2026Review
- Bioactive Constituents and Antihypertensive Mechanisms of Zhengan Xifeng Decoction: Insights from Plasma UPLC-MS, Network Pharmacology and Molecular Dynamics Simulations.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Network Pharmacology and Validation of the Combinative Therapy ofCombinatorial chemistry & high throughput screening · 2025Article
- Advanced Natural Therapeutics and Delivery Strategies for Diabetic Foot Ulcers: A Mini Review.Drug design, development and therapy · 2025Review
- Deciphering the toxicity-effect relationship and action patterns of traditional Chinese medicines from a smart data perspective: a comprehensive review.Frontiers in pharmacology · 2023Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo predict and validate the potential mechanism by which Gynura divaricata (GD) functions in the treatment of diabetic foot (DF).
methodsThe main chemical constituents of GD were identified by reviewing the literature, the traditional Chinese medicine database platform (TCMIP) and the BATMAN-TCM platform. DF disease targets were identified with the GeneCards database, and the compound-target network was constructed by using the intersection of drugs and disease. The STRING platform was used to construct the protein-protein interaction (PPI) network, and Cytoscape 3.7.2 software was used to visualize the results. Moreover, the Metascape database was used for Gene Ontology (GO) enrichment analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Molecular docking of the active ingredients of GD and core protein targets of DF was performed using AutoDock software. Finally, the predicted results were preliminarily verified with experiments.
resultsA total of 140 potential targets of GD were identified and associated with DF. According to the PPI network analysis, GD accelerated DF wound healing, and the mechanism may be related to proteins such as AKT1, TP53, IL6, CASP3, TNF, and VEGFA. GO and KEGG enrichment analyses indicated that GD may play a role in the treatment of diabetic foot by affecting various signaling pathways. Molecular docking results showed that the proteins AKT1, TP53, IL6, CASP3, TNF, and VEGFA were closely associated with the components of GD. The animal experiments showed that GD reduced the levels of IL-6 and TNF-α and increased the mRNA and protein expression of VEGFA in rats with DF.
conclusionsGD regulates multiple targets and multiple pathways to promote wound healing in DF.
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