首页> 外文期刊>RSC Advances >Network pharmacology combined with functional metabolomics discover bile acid metabolism as a promising target for mirabilite against colorectal cancer
【24h】

Network pharmacology combined with functional metabolomics discover bile acid metabolism as a promising target for mirabilite against colorectal cancer

机译:网络药理学与功能代谢组学相结合发现胆汁酸代谢是芒硝抗结直肠癌的有希望的靶标

获取原文
           

摘要

In this study, a combination of network pharmacology and metabolomics was used to explore the mechanism by which mirabilite regulates bile acid metabolism in the treatment of colorectal cancer. The PharmMapper web server was applied to make preliminary predictions for the treatment targets of mirabilite and to predict the interaction between mirabilite and disease targets using Discovery Studio 2.5. Furthermore, the urine metabolic profile was analyzed by the UPLC-Q-TOF-MS technology. The original data were processed by Progenesis QI software and analyzed by multivariate pattern recognition, which allowed us to reveal the metabolic disturbance in colorectal cancer and explain the therapeutic effect of mirabilite. The network pharmacology results showed that mirabilite can act on the disease targets, and the sites of action include amino acid residues Arg-364 and Asp-533, as well as nucleotides TPC-11, DG-112 and DA-113. Based on metabolomics, potential biomarkers were found to lie in the relevant pathways of bile acid metabolism, such as taurine, chenodeoxycholic acid, cholic acid, and deoxycholic acid. The results showed that mirabilite could regulate the distribution of overall metabolic disturbance, and bile acid metabolism was the main targeted pathway. Additionally, we predicted the upstream targets by ingenuity pathway analysis and found that mirabilite played a significant role in regulating the bile acid-related biomarkers, which allowed comprehensive analysis of the effect of mirabilite on colorectal cancer. This study fully explained the role of mirabilite in inhibiting colorectal cancer, which mainly occurs through bile acid metabolism, via the approach of network pharmacology combined with functional metabolomics.
机译:在这项研究中,网络药理学和代谢组学相结合,被用来探索芒硝调节胆汁酸代谢在大肠癌治疗中的机制。 PharmMapper Web服务器已用于使用Discovery Studio 2.5对芒硝的治疗目标进行初步预测,并预测芒硝与疾病目标之间的相互作用。此外,通过UPLC-Q-TOF-MS技术分析了尿液代谢状况。原始数据由Progenesis QI软件处理,并通过多模式识别进行分析,这使我们能够揭示结直肠癌的代谢紊乱并解释了芒硝的治疗效果。网络药理结果表明,芒硝可以作用于疾病靶标,作用部位包括氨基酸残基Arg-364和Asp-533以及核苷酸TPC-11,DG-112和DA-113。基于代谢组学,发现潜在的生物标记物位于胆汁酸代谢的相关途径中,例如牛磺酸,鹅脱氧胆酸,胆酸和脱氧胆酸。结果表明,芒硝能调节整体代谢紊乱的分布,胆汁酸代谢是主要的靶向途径。此外,我们通过独创性途径分析预测了上游靶标,发现芒硝在调节胆汁酸相关的生物标记物中起着重要作用,从而可以全面分析芒硝对大肠癌的作用。这项研究通过网络药理学结合功能代谢组学的方法充分说明了芒硝在抑制大肠癌中的作用,这主要是通过胆汁酸代谢而发生的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号