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

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 th...

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Published in:Food Research International
Main Author: Abdul-Hamid N.A.; Abas F.; Ismail I.S.; Tham C.L.; Maulidiani M.; Mediani A.; Swarup S.; Umashankar S.
Format: Article
Language:English
Published: Elsevier Ltd 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069593097&doi=10.1016%2fj.foodres.2019.108565&partnerID=40&md5=606e09338c3a9eaf7df88b9803705143
id 2-s2.0-85069593097
spelling 2-s2.0-85069593097
Abdul-Hamid N.A.; Abas F.; Ismail I.S.; Tham C.L.; Maulidiani M.; Mediani A.; Swarup S.; Umashankar S.
1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
2019
Food Research International
125

10.1016/j.foodres.2019.108565
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069593097&doi=10.1016%2fj.foodres.2019.108565&partnerID=40&md5=606e09338c3a9eaf7df88b9803705143
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. © 2019 Elsevier Ltd
Elsevier Ltd
09639969
English
Article

author Abdul-Hamid N.A.; Abas F.; Ismail I.S.; Tham C.L.; Maulidiani M.; Mediani A.; Swarup S.; Umashankar S.
spellingShingle Abdul-Hamid N.A.; Abas F.; Ismail I.S.; Tham C.L.; Maulidiani M.; Mediani A.; Swarup S.; Umashankar S.
1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
author_facet Abdul-Hamid N.A.; Abas F.; Ismail I.S.; Tham C.L.; Maulidiani M.; Mediani A.; Swarup S.; Umashankar S.
author_sort Abdul-Hamid N.A.; Abas F.; Ismail I.S.; Tham C.L.; Maulidiani M.; Mediani A.; Swarup S.; Umashankar S.
title 1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
title_short 1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
title_full 1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
title_fullStr 1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
title_full_unstemmed 1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
title_sort 1H-NMR-based metabolomics to investigate the effects of Phoenix dactylifera seed extracts in LPS-IFN-γ-induced RAW 264.7 cells
publishDate 2019
container_title Food Research International
container_volume 125
container_issue
doi_str_mv 10.1016/j.foodres.2019.108565
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069593097&doi=10.1016%2fj.foodres.2019.108565&partnerID=40&md5=606e09338c3a9eaf7df88b9803705143
description 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. © 2019 Elsevier Ltd
publisher Elsevier Ltd
issn 09639969
language English
format Article
accesstype
record_format scopus
collection Scopus
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