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姜黄素联合三氧化二砷治疗急性髓系白血病的网络药理学分析及实验验证。

Curcumin combined with arsenic trioxide in the treatment of acute myeloid leukemia: network pharmacology analysis and experimental validation.

机构信息

Jiangxi University of Chinese Medicine, No. 1688, Meiling Avenue, Xinjian District, Nanchang, People's Republic of China.

The Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, People's Republic of China.

出版信息

J Cancer Res Clin Oncol. 2023 Jan;149(1):219-230. doi: 10.1007/s00432-022-04463-7. Epub 2022 Nov 9.

Abstract

PURPOSE

This study aimed to evaluate the effects of curcumin by co-administration of arsenic trioxide (AsO) in acute myeloid leukemia (AML) treatment, using network pharmacology and experimental validation.

METHODS

Using Pubchem database, Traditional Chinese Medicine Information Database (TCMID) database, and Swiss target prediction database to predict compound-related targets, AML-associated targets were determined using GeneCards and Online Mendelian Inheritance in Man (OMIM) databases. We identify overlapping common targets by comparing Compounds-related and AML-associated targets and using these targets to perform GO and KEGG functional enrichment analyses. Subsequently, these targets were input into the STRING database, and we used Cytoscape to construct protein-protein interaction (PPI) network. Finally, we used KG1-a cells and the AML mouse model to measure the anti-leukemia effects of curcumin and AsO and their combination.

RESULTS

Compounds and targets screening hinted that 85 intersection targets were predicted in the curcumin treatment of AML, 75 targets in the AsO treatment of AML, and 48 targets in the curcumin combined with the AsO treatment of AML. GO and KEGG analyses indicated that the top 10 enriched biological processes and top 20 pathways implicated in the therapeutic effects of curcumin and AsO on AML, respectively. In addition, network pharmacology screening revealed STAT3, TP53, EP300, MAPK1, and PIK3CA as the top five genes in PPI network of curcumin treatment of AML and TP53, MAPK3, MAPK1, STAT3, and SRC as the top five genes in PPI network of AsO treatment of AML. Moreover, the in vitro experiment demonstrated that curcumin combined with AsO inhibited proliferation and induced apoptosis in KG1-a cells, and this effect is more substantial than curcumin or AsO alone. Mechanistically, the curcumin combined with AsO significantly down-regulated the protein expression of JAK2, STAT3, and Bcl-2, and up-regulated the levels of P53, P27, and Bax. In the mouse model, the survival time of mice in each administration group was drawn out to varying degrees, with the most significant prolongation in the curcumin combined with the AsO group.

CONCLUSION

Our results suggested that curcumin and AsO combination therapy exerts more significant anti-leukemia effects in the treatment of AML than curcumin or AsO monotherapy by up-regulating p53 pathway and down-regulating the JAK2/STAT3 pathway.

摘要

目的

本研究旨在通过网络药理学和实验验证,评估姜黄素与三氧化二砷(AsO)联合应用于急性髓系白血病(AML)治疗的效果。

方法

使用 Pubchem 数据库、中药信息数据库(TCMID)数据库和瑞士靶点预测数据库来预测化合物相关靶点,使用 GeneCards 和在线孟德尔遗传数据库(OMIM)数据库确定与 AML 相关的靶点。通过比较化合物相关靶点和 AML 相关靶点,确定重叠的共同靶点,并使用这些靶点进行 GO 和 KEGG 功能富集分析。随后,将这些靶点输入 STRING 数据库,并使用 Cytoscape 构建蛋白质-蛋白质相互作用(PPI)网络。最后,我们使用 KG1-a 细胞和 AML 小鼠模型来测量姜黄素和 AsO 及其组合的抗白血病效果。

结果

化合物和靶点筛选提示,姜黄素治疗 AML 预测有 85 个交集靶点,AsO 治疗 AML 有 75 个靶点,姜黄素联合 AsO 治疗 AML 有 48 个靶点。GO 和 KEGG 分析表明,姜黄素和 AsO 治疗 AML 的疗效分别涉及前 10 个富集的生物学过程和前 20 个途径。此外,网络药理学筛选显示,STAT3、TP53、EP300、MAPK1 和 PIK3CA 是姜黄素治疗 AML 的 PPI 网络中的前五个基因,TP53、MAPK3、MAPK1、STAT3 和 SRC 是 AsO 治疗 AML 的 PPI 网络中的前五个基因。此外,体外实验表明,姜黄素联合 AsO 抑制 KG1-a 细胞增殖并诱导细胞凋亡,且这种效果比姜黄素或 AsO 单独作用更显著。机制上,姜黄素联合 AsO 显著下调 JAK2、STAT3 和 Bcl-2 的蛋白表达,上调 P53、P27 和 Bax 的水平。在小鼠模型中,各组小鼠的生存时间都有不同程度的延长,其中姜黄素联合 AsO 组的延长最为显著。

结论

我们的结果表明,与姜黄素或 AsO 单药治疗相比,姜黄素与 AsO 联合治疗通过上调 p53 通路和下调 JAK2/STAT3 通路,对 AML 的治疗发挥更显著的抗白血病作用。

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