期刊
FRONTIERS OF MEDICINE
卷 14, 期 5, 页码 651-663出版社
SPRINGER
DOI: 10.1007/s11684-019-0709-5
关键词
metabolomics; liquid chromatography-mass spectrometry; metabolites; metabolic pathways
资金
- National Key Research and Development Program of China [2018YFC1706103]
- Key Program of National Natural Science Foundation of China [81830110, 8181101160, 81430093, 81673586, 81703685, 81302905, 81503386, 81373930]
- National Key Subject of Drug Innovation [2015ZX09101043-005, 2015ZX- 09101043-011]
- TCM State Administration Subject of Public Welfare [2015468004]
- Major Projects of Application Technology Research and Development Plan in Heilongjiang Province [GX16C003]
- Young Talent Lift Engineering Project of China Association of Traditional Chinese Medicine [QNRC2-B06]
- Natural Science Foundation of Heilongjiang Province [YQ2019H030, H2016056]
- Foundation of Heilongjiang University of Chinese Medicine [2018jc01, 2018bs02, 201809]
High-throughput metabolomics can clarify the underlying molecular mechanism of diseases via the qualitative and quantitative analysis of metabolites. This study used the established Yang Huang syndrome (YHS) mouse model to evaluate the efficacy of geniposide (GEN). Urine metabolic data were quantified by ultraperformance liquid chromatography-tandem mass spectrometry. The non-target screening of the massive biological information dataset was performed, and a total of 33 metabolites, including tyramine glucuronide, aurine, and L-cysteine, were identified relating to YHS. These differential metabolites directly participated in the disturbance of phase I reaction and hydrophilic transformation of bilirubin. Interestingly, they were completely reversed by GEN. While, as the auxiliary technical means, we also focused on the molecular prediction and docking results in network pharmacological and integrated analysis part. We used integrated analysis to communicate the multiple results of metabolomics and network pharmacology. This study is the first to report that GEN indirectly regulates the metabolite tyramine glucuronide through its direct effect on the target heme oxygenase 1in vivo. Meanwhile, heme oxygenase-1, a prediction of network pharmacology, was the confirmed metabolic enzyme of phase I reaction in hepatocytes. Our study indicated that the combination of high-throughput metabolomics and network pharmacology is a robust combination for deciphering the pathogenesis of the traditional Chinese medicine (TCM) syndrome.
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