Network pharmacological mechanism of Cinobufotalin against glioma

Liu, Cong; Guo, Hongfei; Wang, Chao; Zhan, Wengang; Tan, Qijia; Xie, Caijun; Sharma, Aruna; Sharma, Hari Shanker; Chen, Lin; Zhang, Zhiqiang

doi:10.1016/bs.pbr.2021.06.001

Cited by 5 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Network pharmacology [ 6 , 7 ] is based on systems biology, integrating pharmacology, high-throughput sequencing, genomics, and other technologies, emphasizing multicomponent, multipathway, and multitarget regulation mode. It is an important means to predict the mechanism of action of herbs and TCM preparation, providing theoretical basis and future directions for exploring the treatment of diseases with TCM.…”

Section: Discussionmentioning

confidence: 99%

Network Pharmacology Prediction: The Possible Mechanisms of Cinobufotalin against Osteosarcoma

Chen

Guan

Zhong

et al. 2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Objective. To explore the active compounds and targets of cinobufotalin (huachansu) compared with the osteosarcoma genes to obtain the potential therapeutic targets and pharmacological mechanisms of action of cinobufotalin on osteosarcoma through network pharmacology. Methods. The composition of cinobufotalin was searched by literature retrieval, and the target was selected from the CTD and TCMSP databases. The osteosarcoma genes, found from the GeneCards, OMIM, and other databases, were compared with the cinobufotalin targets to obtain potential therapeutic targets. The protein-protein interaction (PPI) network of potential therapeutic targets, constructed through the STRING database, was inputted into Cytoscape software to calculate the hub genes, using the NetworkAnalyzer. The hub genes were inputted into the Kaplan-Meier Plotter online database for exploring the survival curve. Functional enrichment analysis was identified using the DAVID database. Results. 28 main active compounds of cinobufotalin were explored, including bufalin, adenosine, oleic acid, and cinobufagin. 128 potential therapeutic targets on osteosarcoma are confirmed among 184 therapeutic targets form cinobufotalin. The hub genes included TP53, ACTB, AKT1, MYC, CASP3, JUN, TNF, VEGFA, HSP90AA1, and STAT3. Among the hub genes, TP53, ACTB, MYC, TNF, VEGFA, and STAT3 affect the patient survival prognosis of sarcoma. Through function enrichment analysis, it is found that the main mechanisms of cinobufotalin on osteosarcoma include promoting sarcoma apoptosis, regulating the cell cycle, and inhibiting proliferation and differentiation. Conclusion. The possible mechanisms of cinobufotalin against osteosarcoma are preliminarily predicted through network pharmacology, and further experiments are needed to prove these predictions.

show abstract

Section: Discussionmentioning

confidence: 99%

Network Pharmacology Prediction: The Possible Mechanisms of Cinobufotalin against Osteosarcoma

Chen

Guan

Zhong

et al. 2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…VPA is a small molecular fatty acid that can be utilized to treat bipolar illness and epilepsy. 32,33 Also, VPA was discovered to inhibit histone deacetylase (HDAC) and was studied as an anticancer medication candidate. 34,35 When conjugated with a photocage, VPA can be selectively released while avoiding adverse effects.…”

mentioning

confidence: 99%