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Fingerprinting and network pharmacology based quality markers of Lilii Bulbus*
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Yong-qi ZHAO, Hong-wei ZHANG**, Zhen-ling ZHANG**, Ya-jing LI, Yi-ming WANG
Chinese Journal of Pharmaceutical Analysis | 2024, 44(5) : 893 - 902
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Chinese Journal of Pharmaceutical Analysis | 2024, 44(5): 893-902
Quality Control
Fingerprinting and network pharmacology based quality markers of Lilii Bulbus*
Full
Yong-qi ZHAO, Hong-wei ZHANG**, Zhen-ling ZHANG**, Ya-jing LI, Yi-ming WANG
Affiliations
  • Henan University of Chinese Medicine, Collaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Henan Engineering Research Center of Chinese Traditional Medicine Special Processing Technology, Henan Engineering Technology Research Center for Integrated Production of Chinese Medicine, Zhengzhou 450046, China
Published: 2024-05-31 doi: 10.16155/j.0254-1793.2024.05.18
Outline
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Objective:

To provide a basis for determining the quality markers(Q-Marker) of Lilii Bulbus decoction prepared slices by analyzing the Q-Marker of Lilii Bulbus by fingerprint,multi-component content determination and network pharmacology.

Methods:

The fingerprints of 15 batches of Lilii Bulbus prepared slices were established by HPLC,and the common peaks were analyzed chemometrically to screen out the differential components. The contents of the differential components were determined to compare the differences between samples from different habitats. The main pathways through which the differential components of Lilii Bulbus exert their antidepressant effects were analyzed based on network pharmacology,and the differential components were subjected to in vitro cellular antidepressant assays,and finally the Q-Markers of Lilii Bulbus prepared slices were analyzed based on the principle of quality marker screening.

Results:

Sixteen common peaks were identified in the 15 batches of Lilii Bulbus extracts,all with similarities above 0.931,7 of which were identified and 4 differential components were screened using chemometrics. The content of the components of regaloside A,regaloside B,and regaloside C were determined in the 15 batches of Lilii Bulbus extracts,and the network pharmacological study revealed that the differential components might exert their antidepressant effects through the targets of TNF,GAPDH and MAPK3,regulating. The results of cellular experiments showed that compared with the model group,the cellular viability of the low,medium and high dose groups of Lilii Bulbus extract was significantly increased (P<0.01),and the cellular viability of the low,medium and high dose groups of regaloside A,regaloside B,and regaloside C was significantly increased (P<0.01).

Conclusion:

The fingerprinting and network pharmacology studies suggested that regaloside A,regaloside B,and regaloside C as quality markers of Lilii Bulbus prepared slices,which can provide reference for Lilii Bulbus quality control and pharmacological efficacy studies.

Lilii Bulbus  /  quality markers  /  fingerprinting  /  multi-component content determination  /  network pharmacology  /  antidepressant
Yong-qi ZHAO, Hong-wei ZHANG, Zhen-ling ZHANG, Ya-jing LI, Yi-ming WANG. Fingerprinting and network pharmacology based quality markers of Lilii Bulbus*[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (5) : 893 -902 . DOI: 10.16155/j.0254-1793.2024.05.18
Year 2024 volume 44 Issue 5
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Article Info
doi: 10.16155/j.0254-1793.2024.05.18
  • Receive Date:2023-07-13
  • Online Date:2026-03-20
  • Published:2024-05-31
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  • Received:2023-07-13
Funding
Affiliations
    Henan University of Chinese Medicine, Collaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Henan Engineering Research Center of Chinese Traditional Medicine Special Processing Technology, Henan Engineering Technology Research Center for Integrated Production of Chinese Medicine, Zhengzhou 450046, 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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