Metabolomics study of polysaccharide extracts from Polygonatum sibiricum in mice based on 1H NMR technology

BACKGROUND Polygonatum sibiricum Liliaceae perennial herb, as a commonly used medicine and food homologous plant, has been widely used in clinical practice of Chinese medicine since ancient times, with a history of 2000 years. As the main active ingredient, P. sibiricum polysaccharides have importan...

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Veröffentlicht in:Journal of the science of food and agriculture 2020-09, Vol.100 (12), p.4627-4635
Hauptverfasser: Li, Tingting, Xu, Sheng, Bi, Jianli, Huang, Shengtang, Fan, Baolei, Qian, Chunqi
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Sprache:eng
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Zusammenfassung:BACKGROUND Polygonatum sibiricum Liliaceae perennial herb, as a commonly used medicine and food homologous plant, has been widely used in clinical practice of Chinese medicine since ancient times, with a history of 2000 years. As the main active ingredient, P. sibiricum polysaccharides have important pharmacological effects in blood sugar reduction and antitumor, antioxidant and liver protection. RESULTS Mouse models of P. sibiricum polysaccharides were used in combination with 1H NMR to investigate the metabolic regulation mechanism in mouse tissue and blood. The metabolite maps of the control group and the drug group in the liver had significant changes. The main differential metabolites were glucose 6‐phosphate, inositol, lactose, glutamylglycine, galactose, rhamnose, cis‐aconitic acid and histidine, indicating that there was definite correlation between the metabolic detection based on 1H NMR and the metabolic characteristics of P. sibiricum. The common differential metabolites obtained by overall metabolism analysis were 3‐hydroxybutyric acid, d‐ribose, adenosine phosphate, inositol, fructose 6‐phosphate, histidine, aspartic acid and cis‐aconitic acid. CONCLUSIONS This work forms the basis for identification of metabolic states combined with metabolic pathways, which could be used as diagnostic and prognostic indicators, providing therapeutic targets for new diseases. © 2020 Society of Chemical Industry
ISSN:0022-5142
1097-0010
DOI:10.1002/jsfa.10523