2020
DOI: 10.1016/j.phytol.2020.05.003
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Plasma and urine metabonomics coupled with UPLC-Q-TOF/MS and multivariate data analysis on potential biomarkers in anemia and hematinic effects of steamed notoginseng

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Cited by 3 publications
(3 citation statements)
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“…The detection technologies of metabonomics mainly include gas chromatography–mass spectrometry (GC–MS), ultra‐performance liquid chromatography/quadrupole time‐of‐flight mass spectrometry/mass spectrometry (UPLC–Q/TOF–MS/MS) and nuclear magnetic resonance. Among these detection technologies, UPLC–Q/TOF–MS/MS has the advantages of high sensitivity and high resolution (Wan et al, 2020 ; Zhang, Chen et al, 2020 ; Zhang, Shi et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The detection technologies of metabonomics mainly include gas chromatography–mass spectrometry (GC–MS), ultra‐performance liquid chromatography/quadrupole time‐of‐flight mass spectrometry/mass spectrometry (UPLC–Q/TOF–MS/MS) and nuclear magnetic resonance. Among these detection technologies, UPLC–Q/TOF–MS/MS has the advantages of high sensitivity and high resolution (Wan et al, 2020 ; Zhang, Chen et al, 2020 ; Zhang, Shi et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…The detection technologies of metabonomics mainly include gas chromatography-mass spectrometry (GC-MS), ultraperformance liquid chromatography/quadrupole time-of-flight mass spectrometry/mass spectrometry (UPLC-Q/TOF-MS/MS) and nuclear magnetic resonance. Among these detection technologies, UPLC-Q/TOF-MS/MS has the advantages of high sensitivity and high resolution (Wan et al, 2020;Zhang, Shi et al, 2020). UPLC-Q/TOF-MS/MS-based metabonomics, transcriptomics technology and enzyme-linked immunosorbent assay (ELISA) were used in this study to explore the liver injury mechanism in layer chickens caused by CS combined with LPS and analyze the differences in the intervention mechanisms of UASP and CASP.…”
Section: Introductionmentioning
confidence: 99%
“…Notably, we also observed substantial separation between prediabetes and T2DM patient samples in these PLS-DA plots, suggesting that prediabetic and diabetic individuals also exhibit distinct lipid metabolic profiled. R 2 Y represents the goodness of fit of the PLS-DA model on the Yaxis, while Q 2 estimates predictive capability (60). The R 2 Yand Q 2 of the established PLS-D model were 0.925 and 0.609.…”
Section: Exploration Of Distinct Lipidomic Profiles Associated With P...mentioning
confidence: 99%