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Exploring the mechanism of Qizhi hypoglycemic tablets in treating diabetic vascular complications based on network pharmacology and molecular docking
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Yao-qi WEN1, Zhen-lin WANG1, Yu-qing CHEN1, Xiu-qing ZHU1, Miao-ling TU1, 2, Yu-guan WEN1, 2
Chinese Journal of Clinical Pharmacology | 2026, 42(3) : 393 - 398
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Chinese Journal of Clinical Pharmacology | 2026, 42(3): 393-398
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Exploring the mechanism of Qizhi hypoglycemic tablets in treating diabetic vascular complications based on network pharmacology and molecular docking
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Yao-qi WEN1, Zhen-lin WANG1, Yu-qing CHEN1, Xiu-qing ZHU1, Miao-ling TU1, 2, Yu-guan WEN1, 2
Affiliations
  • 1.Phase Ⅰ Clinical Research Laboratory, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, Guangdong Province, China
  • 2.Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, Guangdong Province, China
Published: 2026-02-17 doi: 10.13699/j.cnki.1001-6821.2026.03.015
Outline
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Objective

To systematically elucidate the mechanism of action of Qizhi hypoglycemic tablets (QZT) in treating diabetic vascular complications, this study adopted the methods of network pharmacology and molecular docking.

Methods

Active ingredients and their corresponding targets of QZT were retrieved from traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) and other databases. Disease targets related to diabetic nephropathy, retinopathy, and peripheral neuropathy were collected from The human gene database (GeneCards) and online mendelian inheritance in man (OMIM). Overlapping targets between drugs and diseases were identified, and a protein-protein interaction (PPI) network was constructed. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses were performed using the database for annotation, visualization, and integrated discovery (DAVID). Molecular docking was used to validate the binding interactions between key active components and core targets.

Results

A total of 116 active ingredients, 2 245 disease-related targets, and 354 common targets were obtained. Core targets such as proto-oncogene tyrosine-protein kinase (SRC), signal transducer and activator of transcription 3 (STAT3), estrogen receptor 1 (ESR1), and RAC-alpha serine/threonine-protein kinase (AKT1) were identified. GO and KEGG analyses revealed that the therapeutic effects of QZT were primarily mediated through key pathways including phosphatidylinositol 3-kinase/Akt signaling pathway (PI3K-Akt) and advanced glycation end products-receptor for advanced glycation end products signaling pathway (AGE-RAGE). Molecular docking confirmed stable binding of core components including apigenin, baicalein, and 4′,7-dihydroxyflavanone (DFV) to the core targets.

Conclusion

This study preliminarily clarifies the multi-component, multi-target, and multi-pathway mechanism of QZT against diabetic vascular complications, providing a theoretical basis for its clinical application and further investigation.

Qizhi hypoglycemic tablets  /  diabetic vascular complications  /  network pharmacology  /  molecular docking
Yao-qi WEN, Zhen-lin WANG, Yu-qing CHEN, Xiu-qing ZHU, Miao-ling TU, Yu-guan WEN. Exploring the mechanism of Qizhi hypoglycemic tablets in treating diabetic vascular complications based on network pharmacology and molecular docking[J]. Chinese Journal of Clinical Pharmacology, 2026 , 42 (3) : 393 -398 . DOI: 10.13699/j.cnki.1001-6821.2026.03.015
Year 2026 volume 42 Issue 3
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Article Info
doi: 10.13699/j.cnki.1001-6821.2026.03.015
  • Receive Date:2025-12-16
  • Online Date:2026-08-06
  • Published:2026-02-17
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History
  • Received:2025-12-16
Funding
Affiliations
    1.Phase Ⅰ Clinical Research Laboratory, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, Guangdong Province, China
    2.Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, Guangdong Province, China
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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
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