共 50 条
Exploring a novel traditional Chinese medicine prescription containing Chrysanthemi Flos for retinal diseases: an integrated strategy of data mining and network pharmacology
被引:0
|作者:
Zhang, Jin-Xue
[1
]
Zhang, Kai-Lun
[1
,2
,3
,4
,5
]
Chang, Xiang -Wei
[1
,7
]
Gu, Jun-Fei
[6
,8
]
Wei, Shi-Bing
[1
]
Zhu, Bo-Yang
[1
]
Wang, Qi
[1
,2
,3
]
Wu, De-Ling
[1
,2
]
Gui, Shuang-Ying
[1
,2
,3
,4
,5
]
Yan, Hui
[6
]
Duan, Jin-Ao
[6
]
机构:
[1] Anhui Univ Chinese Med, Coll Pharm, Hefei 230012, Peoples R China
[2] MOE Anhui Joint Collaborat Innovat Ctr Qual Improv, Hefei 230012, Peoples R China
[3] Anhui Acad Chinese Med, Inst Pharmaceut, Hefei 230012, Peoples R China
[4] Anhui Prov Key Lab Pharmaceut Preparat Technol & A, Hefei 230012, Peoples R China
[5] Engn Technol Res Ctr Modernized Pharmaceut, Anhui Educ Dept AUCM, Hefei 230012, Peoples R China
[6] Nanjing Univ Chinese Med, Jiangsu Collaborat Innovat Ctr Chinese Med Resourc, Nanjing 210023, Peoples R China
[7] Anhui Univ Chinese Med, Coll Pharm, 350 Longzihu Rd, Hefei 230012, Peoples R China
[8] Nanjing Univ Chinese Med, Jiangsu Collaborat Innovat Ctr Chinese Med Resourc, 138 Xianlin Ave, Nanjing 210023, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
traditional Chinese medicine prescription;
retinal diseases;
molecular mechanism;
data mining;
network pharmacology;
molecular docking;
molecular dynamics simulation;
AMELIORATES DIABETIC-RETINOPATHY;
D O I:
10.53388/TMR20231023001
中图分类号:
R [医药、卫生];
学科分类号:
10 ;
摘要:
Background: The severe visual damage or blindness is usually mainly caused by retinal diseases in all age groups. Traditional Chinese medicine (TCM) prescriptions containing Chrysanthemi Flos are commonly used for brightening eyes and have shown good clinical value for treating retinal diseases. This study aimed to screen a novel TCM prescription against retinal diseases based on patents containing Chrysanthemi Flos and explores its medication rule and mechanism using data mining, network pharmacology, molecular docking and molecular dynamics simulation. Methods: Data mining approach was used to screen a novel TCM prescription against retinal diseases and explore its medication rule. The mechanism of the novel TCM prescription against retinal diseases was revealed by constructing the network of TCMs-core active ingredients -core targets -core pathways using network pharmacology. Molecular docking and molecular dynamics simulation were performed to confirm the binding ability between core active ingredients and core targets. Results: TCM prescriptions with clearing heat and supplementing activities were applied most to treat three types of retinal diseases including glaucoma, diabetic retinopathy and age -related macular degeneration. These TCM prescriptions mainly possessed bitter and cold properties and were associated with the liver and lung meridians. A novel TCM prescription consisting of Chrysanthemi Flos, Cassiae Semen, Lycii Fructus, Angelicae Sinensis Radix and Salviae Miltiorrhizae Radix et Rhizoma was screened for the first time. Eighteen compounds were found to be the core active ingredients, modulating sixteen core targets including STAT3, MAPK3, AKT1, PIK3CA, EGFR and TP53, which may involve fifteen core pathways such as the AGE -RAGE signaling pathway in diabetic complications, MAPK signaling pathway, PI3K-Akt signaling pathway, HIF-1 signaling pathway and EGFR tyrosine kinase inhibitor resistance. Molecular docking and molecular dynamics simulation showed a strong binding affinity between almost all of the core active ingredients and targets. Conclusion: The novel TCM prescription has the potential to treat retinal diseases by inhibiting the inflammatory response, oxidative stress, retinal neovascularization, and apoptosis of retinal ganglion cells and retinal pigment epithelium cells as well as ameliorating retinal structural impairment through core targets and signaling pathways. This is the first study to screen a novel TCM prescription against retinal diseases, and provides reliable evidence and promising directions for new drug development.
引用
收藏
页数:16
相关论文