高级检索
当前位置: 首页 > 详情页

Network pharmacological mechanism of Cinobufotalin against glioma.

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [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]Department of Neurosurgery, Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine, Beijing, China
出处:
ISSN:

关键词: Network pharmacology Cinobufotalin Glioma Target prediction

摘要:
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.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.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.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.Copyright © 2021 Elsevier B.V. All rights reserved.

语种:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2020]版
大类 | 3 区 医学
小类 | 4 区 神经科学
最新[2025]版:
JCR分区:
出版当年[2019]版:
Q4 NEUROSCIENCES
最新[2023]版:

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

第一作者:
第一作者机构: [1]The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province Hospital of Chinese Medical, Guangzhou, China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2018 今日访问量:0 总访问量:645 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号