Li Hui, Li Yongwei
Department of Clinical Laboratory, The Second Affiliated Hospital of Henan University of TCM, No.6 Dongfeng Road, Henan Province, 450002, Zhengzhou, People's Republic of China.
Curr Top Med Chem. 2022 Mar 4;22(4):259-267. doi: 10.2174/1568026621666210910123749.
Curcuma longa L. has been associated with different antioxidant, antiinflammatory, bactericidal and anticancer effects, but the mechanisms of the effects are not yet clearly understood. This study aimed to investigate the key targets and the effect of potential molecular mechanisms of Curcuma longa L. extracts on glioma using different network pharmacology analysis approaches.
The components of Curcuma longa were extracted by gas chromatography-mass spectrometry (GC-MS), and the active components related to the occurrence and development of glioma were determined by traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) database, and the same targets of the active components and glioma were screened by network pharmacology approach. Then, the protein's function and regulatory pathway of the common targets were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The protein's action and regulatory pathway of the common targets were analyzed with the Cytoscape package using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database to construct the target interaction network through which the key targets were identified.
GC-MS combined with TCMSP database was used to identify the active components related to the occurrence and development of glioma in Curcuma longa. Finally, we identified the active components 1-(1,5-Dimethyl-4-hexenyl)-4-methyl benzene and Zingiberene. At the same time, 190 target genes of Curcuma longa extracts on glioma were obtained using the Venn diagram. The results of GO analysis showed that the biological processes involved included a response to stimulation, metabolic process, inflammatory process, cell differentiation, and regulation of biological processes. KEGG analysis showed that the PI3K-Akt signaling pathway, MAPK signaling pathway, Th17 cell differentiation, and proteoglycan pathway might be involved in cancer. Further analyses showed that the IL-17 signaling pathway and Interleukin-4 and interleukin-13 signaling were involved in the inflammatory pathway. The analysis of key nodes showed that GSK3B, MAPK14, HSP90AA1, MAPK3 and MAPK8 were IL-17 signaling pathways, while HIF1A and JAK3 were Interleukin-4 and interleukin-13 signaling pathways.
Curcuma longa extracts can regulate the occurrence and development of glioma by regulating the immune-inflammatory responses.
姜黄已被证实具有多种抗氧化、抗炎、杀菌及抗癌作用,但其作用机制尚未完全明确。本研究旨在运用不同的网络药理学分析方法,探究姜黄提取物对胶质瘤的关键靶点及潜在分子机制的影响。
采用气相色谱 - 质谱联用(GC-MS)法提取姜黄的成分,通过中药系统药理学数据库及分析平台(TCMSP)数据库确定与胶质瘤发生发展相关的活性成分,并运用网络药理学方法筛选活性成分与胶质瘤的共同靶点。然后,通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析,对共同靶点的蛋白质功能及调控通路进行分析。利用搜索相互作用基因/蛋白质的工具(STRING)数据库,借助Cytoscape软件包分析共同靶点的蛋白质作用及调控通路,构建靶点相互作用网络,从而确定关键靶点。
运用GC-MS结合TCMSP数据库,鉴定出姜黄中与胶质瘤发生发展相关的活性成分。最终,我们确定了活性成分1-(1,5 - 二甲基 - 4 - 己烯基)-4 - 甲基苯和姜烯。同时,通过维恩图获得了姜黄提取物对胶质瘤的190个靶基因。GO分析结果表明,涉及的生物学过程包括对刺激的反应、代谢过程、炎症过程、细胞分化以及生物过程的调控。KEGG分析表明,PI3K - Akt信号通路、MAPK信号通路、Th17细胞分化和蛋白聚糖通路可能与癌症相关。进一步分析表明,IL - 17信号通路以及白细胞介素 - 4和白细胞介素 - 13信号通路参与炎症途径。关键节点分析表明,GSK3B、MAPK14、HSP90AA1、MAPK3和MAPK8参与IL - 17信号通路,而HIF1A和JAK3参与白细胞介素 - 4和白细胞介素 - 13信号通路。
姜黄提取物可通过调节免疫炎症反应来调控胶质瘤的发生发展。