1.江西中医药大学附属医院,江西省南昌市八一大道445号,330006
2.江西中医药大学临床医学院
mingliangqiu@126.com
收稿:2025-08-11,
修回:2026-01-01,
纸质出版:2026-03-02
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徐刘平,杨璨宇,卢莹等.基于网络药理学、分子对接及实验验证探讨益肾祛痹通络方治疗类风湿关节炎的作用机制[J].中医杂志,2026,67(05):557-566.
XU Liuping,YANG Canyu,LU Ying,et al.Mechanism of Yishen Qubi Tongluo Formula (益肾祛痹通络方) in the Treatment of Rheumatoid Arthritis:Based on Network Pharmacology,Molecular Docking and Experimental Verification[J].Journal of Traditional Chinese Medicine,2026,67(05):557-566.
徐刘平,杨璨宇,卢莹等.基于网络药理学、分子对接及实验验证探讨益肾祛痹通络方治疗类风湿关节炎的作用机制[J].中医杂志,2026,67(05):557-566. DOI: 10.13288/j.11-2166/r.2026.05.014.
XU Liuping,YANG Canyu,LU Ying,et al.Mechanism of Yishen Qubi Tongluo Formula (益肾祛痹通络方) in the Treatment of Rheumatoid Arthritis:Based on Network Pharmacology,Molecular Docking and Experimental Verification[J].Journal of Traditional Chinese Medicine,2026,67(05):557-566. DOI: 10.13288/j.11-2166/r.2026.05.014.
目的
2
探讨益肾祛痹通络方治疗类风湿关节炎(RA)的作用机制。
方法
2
采用网络药理学方法,使用TCMSP、BATMAN、ETCM、GEO等数据库检索并筛选益肾祛痹通络方中药物活性成分、作用靶点以及RA相关靶点,对药物活性成分靶点和RA靶点取交集,构建蛋白相互作用(PPI)网络图,进行GO和KEGG通路富集分析,并构建益肾祛痹通络方治疗RA的药物-活性成分-共同靶点网络。将益肾祛痹通络方核心活性成分与核心靶点进行分子对接验证。将人RA滑膜成纤维细胞株MH7A细胞分为空白组、模型组、甲氨蝶呤组、益肾祛痹通络方组。空白组予10%胎牛血清,其余三组均予浓度为10 μg/L的重组人肿瘤坏死因子-α(TNF-α)刺激24 h制备RA细胞模型;甲氨蝶呤组在模型组基础上加入20 μmol/L浓度的甲氨蝶呤混悬液,益肾祛痹通络方组加入10%益肾祛痹通络含药血清。干预48 h后采用ELISA法检测细胞上清液TNF-α、白细胞介素-17A(IL-17A)水平,RT-qPCR法检测磷脂酰肌醇3-激酶(
PI3K
)、蛋白激酶B(
AKT
)、哺乳动物雷帕霉素靶蛋白(
mTOR
)mRNA表达。
结果
2
网络药理学分析显示,得到益肾祛痹通络方209个药物活性成分和583个靶点基因,RA相关靶点818个;将药物活性成分和RA靶点基因取交集后获得29个共同靶点;槲皮素、β-谷甾醇、山柰酚、豆甾醇、木犀草素是益肾祛痹通络方治疗RA的核心活性成分,基质金属蛋白酶9(MMP9)、前列腺素内过氧化物合酶2(PTGS2)、Toll样受体4(TLR4)、肿瘤蛋白p53(TP53)、转录因子AP-1亚基(JUN)是核心靶点;GO和KEGG通路富集分析结果涉及抗氧化反应、PI3K-AKT信号通路、Toll样受体(TLR)信号通路等。分子对接结果显示,MMP9、PTGS2分别与槲皮素、β-谷甾醇、山柰酚、豆甾醇、木犀草素,TLR4与β-谷甾醇、豆甾醇、木犀草素,TP53与木犀草素均具有高结合活性。细胞实验结果表明,与空白组比较,模型组细胞IL-17A、TNF-α水平以及
AKT、mTOR
mRNA表达升高(
P
<0.05或
P
<0.01);与模型组比较,益肾祛痹通络方组上述各指标均降低,甲氨蝶呤组TNF-α水平、
AKT
mRNA表达降低(
P
<0.05或
P
<0.01)。
结论
2
益肾祛痹通络方治疗RA的作用机制与减少炎症因子分泌、抑制PI3K-AKT-mTOR信号通路激活有关。
Objective
2
To explore the mechanism of
Yishen Qubi Tongluo Formula
(益肾祛痹通络方, YQTF) in the treatment of rheumatoid arthritis(RA).
Methods
2
Network pharmacology was employed to retrieve and screen the active components and potential targets of YQTF as well as RA-related targets using databases including TCMSP, BATMAN, ETCM and GEO. The intersection of targets related to active components and RA-related targets was identified, and a protein-protein interaction (PPI) network was constructed. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed, and a drug-active component-common target network of YQTF in
the treatment of RA was established. The core components of YQTF were molecularly docked with key targets. Human rheumatoid arthritis synovial fibroblast cell line MH7A was divided into blank group, model group, methotrexate group and YQTF group. The blank group was cultured with 10% fetal bovine serum, while the other three groups were stimulated with 10 μg/L of recombinant human tumor necrosis factor-α (TNF-α) for 24 h to establish the RA cell model. On this basis, the methotrexate group was treated with methotrexate suspension at a concentration of 20 μmol/L, and the YQTF group was treated with 10% YQTF-medicated serum. After 48 h of intervention, the levels of TNF-α and interleukin-17A(IL-17A)contents in cell supernatants were detected by enzyme-linked immunosorbent assay (ELISA), and mRNA expressions of phosphatidylinositol 3-kinase(
PI3K
), protein kinase B(
AKT
) and mammalian target of rapamycin(
mTOR
) were detected by real-time quantitative polymerase chain reaction (RT-qPCR).
Results
2
Network pharmacological analysis identified 209 active components and 583 potential target genes of YQTF, as well as 818 RA-related targets. A total of 29 common targets were obtained from the intersection of drug-related targets and RA-related targets. Quercetin, β-sitosterol, kaempferol, stigmasterol and luteolin were the core active components of YQTF for the treatment of RA, while matrix metalloproteinase-9 (MMP9), prostaglandin-endoperoxide synthase 2 (PTGS2), Toll-like receptor 4 (TLR4), tumor protein p53 (TP53) and transcription factor AP-1 subunit JUN were the key targets. The GO and KEGG pathway enrichment analysis showed that the involved biological processes and pathways were mainly associated with antioxidant responses, PI3K-AKT signaling pathway and Toll-like receptor (TLR) signaling pathway. Molecular docking results showed that MMP9 and PTGS2 exhibited high binding affinities with quercetin, β-sitosterol, kaempferol, stigmasterol
and luteolin; TLR4 exhibited high binding activities with β-sitosterol, stigmasterol and luteolin; and TP53 showed high binding affinity with luteolin. The results of cell experiments showed that compared with the control group, the contents of TNF-α and IL-17A as well as the mRNA expressions of
AKT
and
mTOR
in the model group significantly increased (
P
<0.05 or
P
<0.01). Compared with the model group, all the above indicators significantly decreased in the YQTF group, while the contents of TNF-α and the mRNA expression of
AKT
significantly decreased in the methotrexate group (
P
<0.05 or
P
<0.01).
Conclusion
2
The mechanism of YQTF in the treatment of RA may be associated with reducing inflammatory cytokine secretion and inhibiting the activation of the PI3K-AKT-mTOR signaling pathway.
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