1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells. (November 2019)

• Record Type: Journal Article
• Authors: Abdul-Hamid, Nur Ashikin; Abas, Faridah; Ismail, Intan Safinar; Tham, Chau Ling; Maulidiani, M.; Mediani, Ahmed; Swarup, Sanjay; Umashankar, Shivshankar
• Is Part Of: Food research international. Volume 125(2019)
• Publication Date: 2019-11
• Subjects: Phoenix dactylifera -- Algerian Deglet seeds -- RAW 264.7 cells -- Anti-inflammatory -- Cell metabolomics; Food -- Analysis -- Periodicals; Food industry and trade -- Periodicals; Food industry and trade -- Canada -- Periodicals; Food Technology -- Periodicals; Food -- Periodicals; Food-Processing Industry -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Industrie et commerce -- Canada -- Périodiques; Aliments -- Recherche -- Périodiques; Food industry and trade; Canada; Periodicals; Electronic journals; 664.005
• DOI: 10.1016/j.foodres.2019.108565
• Languages: English
• ISSNs: 0963-9969

Abstract

Abstract: Inflammation has been revealed to play a central role in the onset and progression of many illnesses. Nuclear magnetic resonance (NMR) based metabolomics method was adopted to evaluate the effects of Phoenix dactylifera seeds, in particular the Algerian date variety of Deglet on the metabolome of the LPS-IFN- γ -induced RAW 264.7 cells. Variations in the extracellular and intracellular profiles emphasized the differences in the presence of tyrosine, phenylalanine, alanine, proline, asparagine, isocitrate, inosine and lysine. Principal component analysis (PCA) revealed noticeable clustering patterns between the treated and induced RAW cells based on the metabolic profile of the extracellular metabolites. However, the effects of treatment on the intracellular metabolites appears to be less distinct as suggested by the PCA and heatmap analyses. A clear group segregation was observed for the intracellular metabolites from the treated and induced cells based on the orthogonal partial least squares-discriminant analysis (OPLS-DA) score plot. Likewise, 11 of the metabolites in the treated cells were significantly different from those in the induced groups, including amino acids and succinate. The enrichment analysis demonstrated that treatment with Deglet seed extracts interfered with the energy and of amino acids metabolism. Overall, the obtained data reinforced the possible application of Deglet seeds as a functional food with anti-inflammatory properties. Graphical abstract: Unlabelled Image Highlights: Algerian Deglet seed extracts induced changes in metabolism of RAW 264.7 cells. Extracellular and intracellular analysis showed different influential metabolites. Multivariate analysis revealed discriminatory metabolites between cell groups.