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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Elsevier Ltd
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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 |
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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 |
_version_ |
1814778506903552000 |