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Exploring anti-neuroinflammation mechanism of Dracocephalum rupestre Hance in treating aging type 2 diabetes related encephalopathy based on chemical composition analysis and integration of network pharmacology combined with experimental validation
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Meng-jie XU1, *, Jiao XIAO2, Jun LI1, Xin-ru GAO1, Ke YAN1, Wei HE1, Ting-xu YAN3, *
Acta Pharmaceutica Sinica | 2025, 60(10) : 3181 - 3193
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Acta Pharmaceutica Sinica | 2025, 60(10): 3181-3193
• Original Articles •
Exploring anti-neuroinflammation mechanism of Dracocephalum rupestre Hance in treating aging type 2 diabetes related encephalopathy based on chemical composition analysis and integration of network pharmacology combined with experimental validation
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Meng-jie XU1, *, Jiao XIAO2, Jun LI1, Xin-ru GAO1, Ke YAN1, Wei HE1, Ting-xu YAN3, *
Affiliations
  • 1Department of Biological Sciences, Xinzhou Normal University, Xinzhou 034000, China
  • 2Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China
  • 3School of Functional Food and Wine, Shenyang Pharmaceutical University, Shenyang 110016, China
Published: 2025-10-12 doi: 10.16438/j.0513-4870.2025-0177
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Through network pharmacology and molecular docking technology, combined with in vivo experiment verification through aged db/db mice, we explored the anti-neuroinflammation mechanism of Dracocephalum rupestre Hance in aging type 2 diabetes. Neuroinflammatory targets were collected through Gene Cards, and nerve related differential genes (DEGs) in elderly patients with diabetes were screened by GEO NCBI database; 56 component targets and 31 component targets were obtained by Venny 2.1.0 software from core component targets of Dracocephalum rupestre Hance between neuroinflammatory targets and DEGs; protein-protein interaction (PPI) networks were constructed using STRING database, visualize PPI and medicine-composition-target network through Cytoscape software, and the Top 10 core targets were elected using Maximum Clique Centrality (MCC); GO (gene ontology) functional enrichment and KEGG (kyoto encyclopedia of genes and genes) pathway analysis were conducted by DAVID database. It was found that the neuroprotection effect of Dracocephalum rupestre Hance mainly include alleviated aging diabetes neuroinflammation through regulated MAPK, NF-κB and other pathway proteins. Molecular docking results showed that the core active ingredients of Dracocephalum rupestre Hance, chlorogenic acid, diosmetin, and kaempferol, have good binding activity with targets AKT1, IL-1β, BCL2, and HMOX1. In vivo experiments showed that Dracocephalum rupestre Hance can reduce blood glucose and lipid levels in aging db/db mice, ameliorate the disorder of liver tissue cell arrangement and lipid vacuoles, and reduce the level of serum pro-inflammatory cytokines; down-regulate the expression of brain TNF-α, IL-1β, TLR4, and nuclear NF-κB; inhibit the overactivation of Iba-1 in mouse brain. What's more, Dracocephalum rupestre Hance could decreased the activation of NLRP3 inflammasome. This study preliminarily revealed that the therapeutic effect of Dracocephalum rupestre Hance on aging diabetes encephalopathy may be related to improve the neuroinflammatory signal pathway, such as the regulation of TLR4/NF-κB, inhibition of NLRP3 inflammasome, etc. This experiment was approved by the Medical Ethics Committee of Shenyang Pharmaceutical University (No. SYPU-IACOC-2024-1016-103).

Dracocephalum rupestre Hance  /  type 2 diabetes  /  aging brain  /  bioinformatics analysis  /  neuroinflammation
徐梦洁, 肖姣, 李俊, 高心茹, 闫柯, 和伟, 颜廷旭. 基于化学成分分析及网络药理学结合实验探讨岩青兰改善神经炎症缓解老年糖尿病小鼠脑神经病变的作用及机制研究. 药学学报, 2025 , 60 (10) : 3181 -3193 . DOI: 10.16438/j.0513-4870.2025-0177
Meng-jie XU, Jiao XIAO, Jun LI, Xin-ru GAO, Ke YAN, Wei HE, Ting-xu YAN. Exploring anti-neuroinflammation mechanism of Dracocephalum rupestre Hance in treating aging type 2 diabetes related encephalopathy based on chemical composition analysis and integration of network pharmacology combined with experimental validation[J]. Acta Pharmaceutica Sinica, 2025 , 60 (10) : 3181 -3193 . DOI: 10.16438/j.0513-4870.2025-0177
Year 2025 volume 60 Issue 10
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126
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Article Info
doi: 10.16438/j.0513-4870.2025-0177
  • Receive Date:2025-02-23
  • Online Date:2026-09-20
  • Published:2025-10-12
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  • Received:2025-02-23
  • Revised:2025-07-17
Affiliations
    1Department of Biological Sciences, Xinzhou Normal University, Xinzhou 034000, China
    2Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China
    3School of Functional Food and Wine, Shenyang Pharmaceutical University, Shenyang 110016, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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