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Chinese Journal of Kidney Disease Investigation(Electronic Edition) ›› 2026, Vol. 15 ›› Issue (01): 21-28. doi: 10.3877/cma.j.issn.2095-3216.2026.01.004

• Original Article • Previous Articles    

Investigating the mechanism of Jisheng Shenqi Pills in treating chronic renal failure based on network pharmacology and molecular docking technology

Xu Wang1,2, Yunming Xiao2, Yushen Shi2, Ran Liu2, Xiaodong Geng2, Conghui Wang2, Hanyu Zhu2, Quan Hong2, Li Zhang2,(), Shuaiyin Chen1,()   

  1. 1Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan Province
    2Senior Department of Nephrology, Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for Prevention and Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310); Beijing 100853; China
  • Received:2026-01-06 Online:2026-02-28 Published:2026-02-27
  • Contact: Li Zhang, Shuaiyin Chen

Abstract:

Objective

To systematically investigate the mechanism of Jisheng Shenqi Pills (JSP) in treating chronic renal failure (CRF) with network pharmacology and molecular docking methods.

Methods

Step 1, Component and target screening: The active ingredients and their corresponding targets of JSP were screened using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and the High-throughput Experiment and Referenced Bioinformatics (HERB) database. Disease-related targets for CRF were retrieved from the Gene Cards (GeneCards), Online Mendelian Inheritance in Man (OMIM), and Disease Gene Network (DisGeNET) databases. And the intersecting targets between the drugs and the disease were identified. Step 2, Network construction and enrichment analysis: The protein-protein interaction (PPI) network was constructed using the Search Tool for Retrieval of Interacting Genes/Proteins (STRING) database to identify core target genes. And the "herb-component-target-disease" network was visualized using the Cytoscape software. Functional enrichment analysis was then performed with the Gene Ontology (GO) database, and pathway enrichment with the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Step 3, Validation by molecular docking: The molecular docking validation between the key active ingredients and core targets was performed using the AutoDock Vina software.

Results

A total of 102 active ingredients of JSP were identified, corresponding to 232 potential targets. A total of 2, 153 targets were associated with CRF, resulting in 138 overlapping targets between the drug and the disease. Network analysis revealed that quercetin, kaempferol, wogonin, baicalein, and oleic acid were the key active ingredients. The core targets primarily included AKT1, TNF, IL6, MAPK1, TP53, CASP3, and BCL2. GO analysis suggested that the targets were mainly involved in inflammation, oxidative stress, apoptosis, and immune regulation. KEGG analysis showed enrichment in pathways related to AGE-RAGE, TNF, IL-17, PI3K-Akt, and lipids-atherosclerosis. Molecular docking confirmed the strong binding affinity between key components and core targets.

Conclusion

JSP may delay CRF progression by regulating key targets (AKT, MAPK, TNF) and signaling pathways (AGE-RAGE, PI3K-Akt) via flavonoid ingredients (quercetin, kaempferol), thereby exerting anti-inflammatory, antioxidant, inhibiting-apoptosis, and immunomodulatory effects. This illustrates the multi-component, multi-target, and multi-pathway advantages of traditional Chinese medicine (TCM) formulas, providing a theoretical basis for further mechanistic studies.

Key words: Jisheng Shenqi Pills, Chronic renal failure, Network pharmacology, Molecular docking, Treatment, Mechanism

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