2019
DOI: 10.1186/s12986-019-0335-x
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Metabolic effects of mulberry branch bark powder on diabetic mice based on GC-MS metabolomics approach

Abstract: BackgroundMulberry (Morus multicaulis) branch bark powder have showed effective hypoglycemic activity in our previous research. This study aims to explore the mechanism of protect effect on diabetes mice of mulberry branch bark as food supplement based on non-targeted GC-MS metabolomics’ platform.MethodsAnimal model of double diabetes was established with high fat diet and Streptozotocin injection. Mice were fed with mulberry branch bark powder (MBBP) for five weeks to study its therapeutic effect. The metabol… Show more

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Cited by 18 publications
(10 citation statements)
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“…Fecal metabolic profiling of GC-MS Metabolomics were conducted on fecal samples following the methods described in previous research with some minor modifications. 15,16 Analyses were performed using gas chromatography coupled with tandem mass spectrometry (GC-MS/MS) on an Agilent 6890/7000C Triple Quadrupole (Agilent, CA). A HP-5MS fused-silica capillary column (30 m × 250 μm i.d.…”
Section: Metabolome Analysismentioning
confidence: 99%
“…Fecal metabolic profiling of GC-MS Metabolomics were conducted on fecal samples following the methods described in previous research with some minor modifications. 15,16 Analyses were performed using gas chromatography coupled with tandem mass spectrometry (GC-MS/MS) on an Agilent 6890/7000C Triple Quadrupole (Agilent, CA). A HP-5MS fused-silica capillary column (30 m × 250 μm i.d.…”
Section: Metabolome Analysismentioning
confidence: 99%
“…It has been applied to investigate the antidiabetic properties of medicinal plants [ 20 ]. Qiu et al reported the metabolic changes of mulberry branch bark powder in diabetic mice using metabolomics based on gas chromatography-mass spectrometry (GC-MS) [ 21 ]. Furthermore, Zhu et al studied the metabolic profiles of fecal samples from diabetic mice administered with a polysaccharide, a water-soluble β-D-fructan from Ophiopogon japonicus , using a GC-MS metabolomics platform [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“… 14 , 15 Untargeted metabolomics can serve as a promising tool to investigate metabolic responses to various diseases, identify potential biomarkers for diagnosis or prognosis purposes, and discover toxicity-related or drug-related metabolic pathways. 16 19 Mass spectrometry (MS)-based methods are commonly used analytical techniques in metabolomics research because of their highly efficient separation and sensitive quantitative ability and MS databases for metabolite identification; these MS-based methods include gas chromatography coupled with MS (GC–MS), liquid chromatography coupled with MS (LC–MS), and capillary electrophoresis coupled with MS (CE-MS). 20 , 21 Among these, GC–MS has been widely used due to its widespread availability, high resolution, and reproducibility.…”
Section: Introductionmentioning
confidence: 99%
“…Untargeted metabolomics is an unbiased global method that investigates low-molecular-weight metabolites to profile endogenous metabolic alterations resulting from pathological and physiological changes. , As many metabolites as possible, including chemical unknowns, are detected simultaneously after minimal and nonselective sample pretreatment. , Untargeted metabolomics can serve as a promising tool to investigate metabolic responses to various diseases, identify potential biomarkers for diagnosis or prognosis purposes, and discover toxicity-related or drug-related metabolic pathways. Mass spectrometry (MS)-based methods are commonly used analytical techniques in metabolomics research because of their highly efficient separation and sensitive quantitative ability and MS databases for metabolite identification; these MS-based methods include gas chromatography coupled with MS (GC–MS), liquid chromatography coupled with MS (LC–MS), and capillary electrophoresis coupled with MS (CE-MS). , Among these, GC–MS has been widely used due to its widespread availability, high resolution, and reproducibility. , Moreover, high-resolution MS (HRMS) is increasingly utilized to produce metabolomics data with improvements in sensitivity, reliability, and quantity. , Then, multivariate statistical analysis and chemometrics methods are used to handle the complex data for analyzing the metabolic variations and highlighting the discriminated metabolites …”
Section: Introductionmentioning
confidence: 99%