Journal of Agricultural and Food Chemistry · 2015 · 32 citations · 35 references
Life SciencesPharmacologyInflammationInnate ImmunityMetabolomicsAnti-inflammatory PharmacologyBioactive Food ComponentsCytokine BiologyInflammatory SignalingMetabolite ExtractionMetabolite IdentificationAnti-inflammatory ActivityAnti-inflammatory Natural ProductsMacrophage Inflammatory ResponsesMetabolomic Profiling Of PhytochemicalsMitogen-activated Protein Kinase CascadesMitogen-activated Protein Kinase PathwaysPartial Least Squares Discriminant AnalysisPreparative High-performance Liquid Chromatography
The extracts produced by multisolvent extraction and subfractionation with preparative liquid chromatography of black raspberry (Rubus coreanus Miquel) cultivated in Gochang, South Korea, were tested for their anti-inflammatory effects. The metabolomic profiling and analysis by orthogonal partial least-squares discriminant analysis (OLPS-DA) suggested that cyanidin, cyanidin-3-glucoside (C3G), and cyanidin-3-rutinoside (C3R) were key components for the anti-inflammatory responses in the most active fraction BF3-1, where they were present at 0.44, 1.26, and 0.56 μg/mg of BF3-1, respectively. Both BF3-1 and mixture of these cyanidins at the same ratio reduced lipopolysaccharide (LPS)-induced protein level of iNOS expression and suppressed mRNA and protein expressions of tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1β through inhibiting the phosphorylation of mitogen-activated protein kinases (MAPKs) and STAT3 in murine macrophage RAW264.7 cells. Overall, the results suggested that co-administration of cyanidin, C3G, and C3R is more effective than that of cyanidin alone and that the coexistence of these anthocyanin components in black raspberry plays a vital role in regulating LPS-induced inflammation even at submicromolar concentrations, making it possible to explain the health beneficial activity of its extracts.
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Potential of metabolomics as a functional genomics tool
R.J. Bino, Robert D. Hall, Oliver Fiehn et al. · Trends in Plant Science · 2004 · 785 citations
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