Sun Hui, Zhang Hong-Lian, Zhang Ai-Hua, Zhou Xiao-Hang, Wang Xiang-Qian, Han Ying, Yan Guang-Li, Liu Liang, Wang Xi-Jun
National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Chinmedomics Research Center of TCM State Administration, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin 150040 China
State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology Avenida Wai Long Taipa Macau China.
RSC Adv. 2018 Aug 24;8(53):30061-30070. doi: 10.1039/c8ra04886j.
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, the approach of network pharmacology combined with functional metabolomics.
在本研究中,采用网络药理学和代谢组学相结合的方法,探讨芒硝在治疗结直肠癌过程中调节胆汁酸代谢的机制。利用PharmMapper网络服务器对芒硝的治疗靶点进行初步预测,并使用Discovery Studio 2.5预测芒硝与疾病靶点之间的相互作用。此外,采用超高效液相色谱-四极杆飞行时间质谱(UPLC-Q-TOF-MS)技术分析尿液代谢谱。原始数据经Progenesis QI软件处理,并通过多元模式识别进行分析,从而揭示结直肠癌中的代谢紊乱情况,并解释芒硝的治疗效果。网络药理学结果表明,芒硝可作用于疾病靶点,作用位点包括氨基酸残基Arg-364和Asp-533,以及核苷酸TPC-11、DG-112和DA-113。基于代谢组学,发现潜在生物标志物存在于胆汁酸代谢的相关途径中,如牛磺酸、鹅去氧胆酸、胆酸和脱氧胆酸。结果表明,芒硝可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,通过 Ingenuity Pathway Analysis 预测上游靶点,发现芒硝在调节胆汁酸相关生物标志物方面发挥了重要作用,从而能够全面分析芒硝对结直肠癌的影响。本研究充分解释了芒硝在抑制结直肠癌中的作用,其主要通过胆汁酸代谢发挥作用,采用了网络药理学与功能代谢组学相结合的方法。