2018
DOI: 10.3390/molecules23123246
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Interpretation of Euphorbia Kansui Stir-Fried with Vinegar Treating Malignant Ascites by a UPLC-Q-TOF/MS Based Rat Serum and Urine Metabolomics Strategy Coupled with Network Pharmacology

Abstract: Euphorbia kansui stir-fried with vinegar (V-kansui) has promising biological activities toward treating malignant ascites with reduced toxicity compared to crude kansui. But the mechanism concerning promoting the excretion of ascites has not been systematically studied. The purpose of this paper was to investigate the possible mechanism of V-kansui in treating malignant ascites, including metabolic pathways and molecular mechanism using an integrated serum and urine metabolomics coupled with network pharmacolo… Show more

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Cited by 21 publications
(15 citation statements)
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“…The others were identified by exact molecular weight, characteristic fragments, and the literature (Liu et al, 2013;Zhang et al, 2018).…”
Section: F I G U R E 3 the Extracted Ion Chromatograms Of Prototypesmentioning
confidence: 99%
“…The others were identified by exact molecular weight, characteristic fragments, and the literature (Liu et al, 2013;Zhang et al, 2018).…”
Section: F I G U R E 3 the Extracted Ion Chromatograms Of Prototypesmentioning
confidence: 99%
“…They only focus on changes in metabolites and cannot find the material basis for efficacy and effect targets. Network pharmacology can make up this defect very well in TCM study [32]. Network pharmacology is a new pattern of drug research to analyze the relationship between drugs, targets, metabolic pathways, and diseases by constructing a network model [33,34].…”
Section: Introductionmentioning
confidence: 99%
“…Although there were clear differences in the content of various sample sources, the sources could hardly be distinguished. The differences or similarity of multivariate data can be visualized through PCA as unsupervised multivariate-data analysis [ 15 ]. In this study, PCA was used to distinguish the 12 batches of C. crassifolius and samples were well separated by this PCA method.…”
Section: Resultsmentioning
confidence: 99%