收藏切换
Recearch of unraveling the anti-inflammatory mechanism of Yinpu Jiedu tablet against diabetic kidney inflammation throgh network pharmacology and podocyte verification
收藏切换
PDF
Jin-yuan ZHANG1, 2, Li LAI1, 2, Zi-yang LIN3, 4, Ting-ting DUAN3, 4, Jun-zheng YANG3, 4, Yi-qi YANG1, 2
Chinese Journal of Clinical Pharmacology | 2025, 41(21) : 3049 - 3053
Less
收藏切换
Chinese Journal of Clinical Pharmacology | 2025, 41(21): 3049-3053
Clinical and Basic Bridging Research
Recearch of unraveling the anti-inflammatory mechanism of Yinpu Jiedu tablet against diabetic kidney inflammation throgh network pharmacology and podocyte verification
Full
Jin-yuan ZHANG1, 2, Li LAI1, 2, Zi-yang LIN3, 4, Ting-ting DUAN3, 4, Jun-zheng YANG3, 4, Yi-qi YANG1, 2
Affiliations
  • 1.Guangdong Pharmaceutical University, Guangzhou, Guangdong 510000, China
  • 2.Guangdong Key Laboratory of Prevention and Treatment of Metabolic Diseases with Traditional Chinese Medicine, Guangzhou, Guangdong 510000, China
  • 3.Guangzhou Consun Pharmaceutical Co., Ltd., Guangzhou, Guangdong 510765, China
  • 4.Guangdong Nephrotic Drug Engineering Technology Research Center, Guangzhou, Guangdong 510765, China
Published: 2025-11-17 doi: 10.13699/j.cnki.1001-6821.2025.21.009
Outline
收藏切换
Objective

To explore the main active components, potential targets and mechanisms of Yinpu Jiedu tablets in the treatment of diabetic renal inflammation by using network pharmacological methods and molecular docking techniques.

Methods

The active ingredients of Yinpu jiede tables and therapeutic targets for diabetic kidney inflammation were retrieved from databases including TCMSP, PubChem, SwissTargetPrediction and GeneCards. A protein-protein interaction (PPI) network was constructed using Venny, STRING, Metascape, Bioinformatics and Cytoscape, followed by gene enrichment analysis. Molecular docking was performed using AutoDock, and the results were visualized with PyMOL. Furthermore, a lipopolysaccharide (LPS)-induced cellular model of diabetic kidney inflammation was established. The experiment included control group, model group (4 μmol·L-1 LPS) and experimantol group (30 μg·mL-1 Yinpu jiede tables). Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was used to measure the messenger ribonucleic acid (mRNA) relative expression levels of AKT1 serine/threonine kinase 1(Akt1), tumor protein p53(Tp53), tumor necrosis factor-α (Tnf-α) and interleukin-6 (IL-6) to validate the network pharmacology predictions.

Results

A total of 30 active ingredients and 435 potential targets of Yinpu jiede tables were identified. The core active ingredients included quercetin, luteolin, acacetin, morin and pelargonin. Intersection analysis between disease-related targets and drug-targets yielded 71 key genes, from which 4 core targets, inducling AKT1, TNF-α, IL-6 and TP53. Molecular docking results indicated strong binding affinity between the core active ingredients and the core targets. gene ontolog (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses suggested that Yinpu jiede tables exerts its therapeutic effects on diabetic kidney inflammation primarily through pathways such as pathways in cancer, the JAK-STAT signaling pathway, the AMPK signaling pathway and the Wnt signaling pathway. Cellular experiments confirmed that LPS induction significantly upregulated the mRNA expression of Akt1, Tp53, TNF-α, and IL-6 in podocytes, while treatment with Yinpu jiede tables effectively reversed this trend, restoring their expression to near-normal levels, thereby validating its regulatory role on the predicted targets and inflammatory pathways.

Conclusion

Yinpu jiede tables may act on signal pathways such as JAK-STAT, AMPK, and Wnt through core targets such as AKT1, TNF, IL-6, and TP53, and exert therapeutic effects on diabetic kidney inflammation.

Yinpu jiede table  /  diabetic renal inflammation  /  network pharmacology
Jin-yuan ZHANG, Li LAI, Zi-yang LIN, Ting-ting DUAN, Jun-zheng YANG, Yi-qi YANG. Recearch of unraveling the anti-inflammatory mechanism of Yinpu Jiedu tablet against diabetic kidney inflammation throgh network pharmacology and podocyte verification[J]. Chinese Journal of Clinical Pharmacology, 2025 , 41 (21) : 3049 -3053 . DOI: 10.13699/j.cnki.1001-6821.2025.21.009
Year 2025 volume 41 Issue 21
PDF
162
33
Cite this Article
BibTeX
Article Info
doi: 10.13699/j.cnki.1001-6821.2025.21.009
  • Receive Date:2025-07-15
  • Online Date:2026-08-05
  • Published:2025-11-17
Article Data
Affiliations
History
  • Received:2025-07-15
Funding
Affiliations
    1.Guangdong Pharmaceutical University, Guangzhou, Guangdong 510000, China
    2.Guangdong Key Laboratory of Prevention and Treatment of Metabolic Diseases with Traditional Chinese Medicine, Guangzhou, Guangdong 510000, China
    3.Guangzhou Consun Pharmaceutical Co., Ltd., Guangzhou, Guangdong 510765, China
    4.Guangdong Nephrotic Drug Engineering Technology Research Center, Guangzhou, Guangdong 510765, China
References
Share
https://castjournals.cast.org.cn/joweb/zglcylxzz/EN/10.13699/j.cnki.1001-6821.2025.21.009
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT