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Exploration of the mechanism of tetramethoxyflavone in treating osteoarthritis based on network pharmacology and molecular docking

Ping Chena, Baibai Yea, Cheng Lina, Chenning Zhangb, Jia Chenc, Linfu Lia*

aPharmacy College, Gannan Medical University, Ganzhou, Jiangxi, China, bDepartment of Pharmacy, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China, cInstitute for Control of Chinese Traditional Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing, China

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Open Access funded by Buddhist Compassion Relief Tzu Chi Foundation

 

Abstract
 
Objectives: This study aimed to explore the potential mechanisms of TMF (5,7,3’,4’‑tetramethoxyflavone) in treating osteoarthritis (OA) using network pharmacology and molecular docking. Materials and Methods: Databases including SwissTargetPrediction, BATMAN‑TCM, PharmMapper, TargetNet, SuperPred, and SEA were utilized to screen the targets of TMF. “OA” was used as the disease keyword to predict OA‑related genes through GeneCards, Therapeutic Target Database, PharmGKB, Online Mendelian Inheritance in Man, and Comparative Toxicogenomics Database. The Venn diagram was employed to identify the intersection of predicted targets between TMF and OA as potential targets for TMF in treating OA. The intersection targets were input into the STRING 12.0 online database to construct a protein– rotein interaction (PPI) network and identify core targets. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the Metascape V3.5 online database platform. Finally, molecular docking between TMF and core targets was conducted using AutoDockTools 1.5.6. Results: A total of 228 intersection targets for TMF treating OA were obtained, and PPI network analysis identified 5 core targets: STAT3, SRC, CTNNB1, EGFR, and AKT1. GO enrichment analysis yielded 2736 results, while KEGG analysis identified 203 pathways. Most elated GO and KEGG items of TMF in treating OA may include hormonal responses, antiviral and anticancer effects, anti‑inflammation, phosphorus metabolism, phosphate metabolism, nitrogen compound responses, cancer‑related pathways, PI3K‑Akt signaling pathway, and MAPK signaling pathway. Molecular docking revealed good binding affinities between TMF and all core targets except STAT3. Conclusion: TMF might act on multiple targets and activate diverse pathways to intervene in OA, revealing the molecular processes involved in TMF treatment of OA.

 

Keywords: 5,7,3’,4’‑tetramethoxyflavone, Molecular docking, Network pharmacology, Osteoarthritisand

 

 

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