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已发表论文
将网络药理学、分子对接和实验验证相结合，以确定表没食子儿茶素没食子酸酯（EGCG）通过靶向内质网应激 - STAT3 交互作用减轻软骨细胞炎症损伤的作用
Authors Zhao MJ , Yin JL, Luo JH, Ge YS, Huang CM, Meng TT, Wang XZ, Huang XH, Chen LL, Zhai YQ, Wu XB, Ding DF
Received 3 September 2025
Accepted for publication 15 October 2025
Published 30 October 2025 Volume 2025:18 Pages 15165—15185
DOI https://doi.org/10.2147/JIR.S564356
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Ujjwol Risal
Min-Jun Zhao,1– 3 Jian-Li Yin,1– 3 Jia-Hui Luo,1– 3 Yang-Shuo Ge,2,3 Chun-Meng Huang,2,3 Ting-Ting Meng,2,3 Xue-Zong Wang,4 Xin-Hui Huang,2,3 Liao-Lin Chen,2,3 Yu-Qing Zhai,2,3 Xu-Bo Wu,1,5 Dao-Fang Ding1– 3
1Department of Rehabilitation Therapy, The Second Rehabilitation Hospital of Shanghai, Shanghai, People’s Republic of China; 2Institute of Rehabilitation Medicine, shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 3School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 4Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 5Department of Rehabilitation Medicine of Shanghai Pudong New Area People’s Hospital, Shanghai, People’s Republic of China
Correspondence: Xu-Bo Wu, Email Wuxubo320@163.com Dao-Fang Ding, Email dingdaofang@shutcm.edu.cn
Background: Osteoarthritis (OA) is the most common joint disorder and a major global health burden. Epigallocatechin-3-gallate (EGCG), a green tea-extracted polyphenol, shows therapeutic potential for OA, but a comprehensive understanding of its mechanisms is essential to enhance clinical utility.
Methods: EGCG-related targets were identified utilizing the TCMSP, BATMAN-TCM, PharmMapper, and SwissTargetPrediction databases. OA-related targets were retrieved from GeneCards, DisGeNET, OMIM, and TTD databases. A protein-protein interaction (PPI) network was constructed using Cytoscape 3.10.1, and the CytoNCA plugin was used for topological analysis to identify the core targets. To clarify EGCG’s therapeutic mechanisms in OA, we performed systematic functional annotation via Gene Ontology (GO) enrichment and interrogated relevant biological pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Furthermore, molecular docking was applied to assess the binding affinity between EGCG and key targets. Finally, in vitro experiments using primary chondrocytes stimulated with IL-1β were conducted to validate the predictions from network pharmacology.
Results: 488 EGCG-related targets were identified, with 172 overlapping OA-related genes. Four core genes were identified, including STAT3, TP53, AKT1, and JUN. GO enrichment analysis revealed 2163 biological processes, 92 cellular components, and 223 molecular functions; KEGG analysis identified 175 enriched signaling pathways. Molecular docking showed EGCG’s binding affinity to core target STAT3 was approximately − 8.1 kcal/mol. In vitro experiments showed that EGCG reduced IL-1β-induced catabolic and inflammatory responses in chondrocytes, which is linked with attenuated endoplasmic reticulum (ER) stress. Moreover, the involvement of STAT3 in the effects of EGCG that alleviate ER stress in OA has been established, highlighting its therapeutic potential.
Conclusion: This study reveals that EGCG may ameliorate the metabolic imbalance of extracellular matrix (ECM) and inflammatory responses by modulating the activity of the ER stress-STAT3 crosstalk.
Keywords: OA, EGCG, network pharmacology, ER stress, STAT3
1Department of Rehabilitation Therapy, The Second Rehabilitation Hospital of Shanghai, Shanghai, People’s Republic of China; 2Institute of Rehabilitation Medicine, shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 3School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 4Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 5Department of Rehabilitation Medicine of Shanghai Pudong New Area People’s Hospital, Shanghai, People’s Republic of China
Correspondence: Xu-Bo Wu, Email Wuxubo320@163.com Dao-Fang Ding, Email dingdaofang@shutcm.edu.cn
Background: Osteoarthritis (OA) is the most common joint disorder and a major global health burden. Epigallocatechin-3-gallate (EGCG), a green tea-extracted polyphenol, shows therapeutic potential for OA, but a comprehensive understanding of its mechanisms is essential to enhance clinical utility.
Methods: EGCG-related targets were identified utilizing the TCMSP, BATMAN-TCM, PharmMapper, and SwissTargetPrediction databases. OA-related targets were retrieved from GeneCards, DisGeNET, OMIM, and TTD databases. A protein-protein interaction (PPI) network was constructed using Cytoscape 3.10.1, and the CytoNCA plugin was used for topological analysis to identify the core targets. To clarify EGCG’s therapeutic mechanisms in OA, we performed systematic functional annotation via Gene Ontology (GO) enrichment and interrogated relevant biological pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Furthermore, molecular docking was applied to assess the binding affinity between EGCG and key targets. Finally, in vitro experiments using primary chondrocytes stimulated with IL-1β were conducted to validate the predictions from network pharmacology.
Results: 488 EGCG-related targets were identified, with 172 overlapping OA-related genes. Four core genes were identified, including STAT3, TP53, AKT1, and JUN. GO enrichment analysis revealed 2163 biological processes, 92 cellular components, and 223 molecular functions; KEGG analysis identified 175 enriched signaling pathways. Molecular docking showed EGCG’s binding affinity to core target STAT3 was approximately − 8.1 kcal/mol. In vitro experiments showed that EGCG reduced IL-1β-induced catabolic and inflammatory responses in chondrocytes, which is linked with attenuated endoplasmic reticulum (ER) stress. Moreover, the involvement of STAT3 in the effects of EGCG that alleviate ER stress in OA has been established, highlighting its therapeutic potential.
Conclusion: This study reveals that EGCG may ameliorate the metabolic imbalance of extracellular matrix (ECM) and inflammatory responses by modulating the activity of the ER stress-STAT3 crosstalk.
Keywords: OA, EGCG, network pharmacology, ER stress, STAT3