2. Academic Validation
  3. Network pharmacological mechanism of Cinobufotalin against glioma

Network pharmacological mechanism of Cinobufotalin against glioma

  • Prog Brain Res. 2021;265:119-137. doi: 10.1016/bs.pbr.2021.06.001.
Cong Li 1,  Hanyu Guo 1,  Chao Wang 1,  Wengang Zhan 1,  Qijia Tan 1,  Caijun Xie 1,  Aruna Sharma 2,  Hari Shanker Sharma 3,  Lin Chen 4,  Zhiqiang Zhang 5
Affiliations

Affiliations

  • 1 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province Hospital of Chinese Medical, Guangzhou, China.
  • 2 International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
  • 3 International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden. Electronic address: [email protected].
  • 4 Department of Neurosurgery, Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine, Beijing, China.
  • 5 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province Hospital of Chinese Medical, Guangzhou, China. Electronic address: [email protected].
PMID: 34560920 DOI: 10.1016/bs.pbr.2021.06.001
Abstract

Objective: Cinobufotalin was extracted from the skin of Chinese giant salamander or black sable with good clinical effect against tumor. This study aims to explore the mechanism of Cinobufotalin components and predict the target of action of Cinobufotalin on glioma.

Methods: The active components of Cinobufotalin were screened by the Chinese medicine pharmacology database and analysis platform (TCMSP), PubChem database, etc. The potential molecular components and targets were identified and enrichment analysis was conducted through the construction of related networks and analysis of their characteristics. Relevant targets of glioma were searched through TTD, DRUGBANK, and other databases, and the intersection was found and the key targets were found too.

Results: A total of 21 active components and 184 target genes of Cinobufotalin were found. According to the enrichment analysis results, the pharmacological mechanism of Cinobufotalin mainly includes inhibition of the cell cycle, promotion of cell Apoptosis, and regulation of immunity. On this basis, RAC1, FOS, and NOS3 can be preliminarily predicted as potential targets of Cinobufotalin in the treatment of glioma.

Conclusions: The screening of active ingredients and target prediction based on network pharmacology can provide a new research idea for the multi-target treatment of glioma with Cinobufotalin.

Keywords

Cinobufotalin; Glioma; Network pharmacology; Target prediction.

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