Study on the effect and mechanism of Qufushengji hydrogel based on network pharmacology and molecular docking technology in treating phlebitis

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Authors: Zhe Meng, Shuangxin Zhang, Qirui Zhang, Yijia Lin, Juncai Li, Longjie Wei, Bonolo William, Xiuling Zhou
Cited by: 0
References: 43

Abstract

Intravenous therapy often triggers phlebitis as an adverse effect, and there are limitations in modern medical treatments. The aim of this study was to investigate the mechanism of action of Qufushengji hydrogel, a novel topical preparation of traditional Chinese medicine, in the treatment of phlebitis. Based on network pharmacology and molecular docking technology, we screened the active ingredients (criteria: relative molecular weight molecular weight ≤500 Da, drug-likeness DL ≥0.18) from 4 Chinese medicines (e.g., Panax ginseng, Resina Draconis) contained in the hydrogel and combined them with the GeneCards database to obtain phlebitis-related targets. We predicted transdermal permeability by the Potts-Guy model, constructed protein-protein interaction networks and drug-component-target-disease networks, and conducted gene ontology/KEGG pathway enrichment analysis and molecular docking validation. A total of 90 active ingredients and 221 potential targets were screened, and 21 key targets were obtained after taking the intersection with phlebitis-related targets. Abietic acid, dehydroabietic acid, and oleanolic acid were identified as the core active ingredients, and IL-10, TNF, IL-6, VCAM1, and ICAM1 were identified as the core targets. Enrichment analysis indicated that Qufushengji hydrogel may intervene in immune-inflammatory responses, metabolic complications, and pathogen infection-related mechanisms by modulating AGE-RAGE, TNF, and other pathways. This study reveals the potential mechanism of Qufushengji hydrogel in treating phlebitis through the "multi-component-multi-target-multi-pathway" model, which provides a theoretical basis for the treatment of phlebitis by traditional Chinese medicine.

Fields of Study & Subjects

Computational Drug Discovery Methods Traditional Chinese Medicine Analysis Medical Research and Treatments

Publication details

Journal / source
Medicine
Volume
105
Issue
6
Pages
e47427–e47427
Publication date
6 February 2026
Language
EN