Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.jare.2020.01.001 |
Lizenz  |
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| Titel (primär) | Metabolomics reveals impact of seven functional foods on metabolic pathways in a gut microbiota model |
| Autor | Farag, M.A.; Abdelwareth, A.; Sallam, I.E.; el Shorbagi, M.; Jehmlich, N.
; Fritz, K.; Schaepe, S.; Rolle-Kampczyk, U.; Ehrlich, A.; Wessjohann, L.A.; von Bergen, M. |
| Quelle | Journal of Advanced Research |
| Erscheinungsjahr | 2020 |
| Department | MOLSYB |
| Band/Volume | 23 |
| Seite von | 47 |
| Seite bis | 59 |
| Sprache | englisch |
| Supplements | https://ars.els-cdn.com/content/image/1-s2.0-S2090123220300011-mmc1.docx |
| Keywords | Functional foods; gut microbiota; metabolomics; GCMS; chemometrics |
| Abstract | Functional food defined as dietary supplements that in addition to their nutritional values, can beneficially modulate body functions becomes more and more popular but the reaction of the intestinal microbiota to it is largely unknown. In order to analyse the impact of functional food on the microbiota itself it is necessary to focus on the physiology of the microbiota, which can be assessed in a whole by untargeted metabolomics. Obtaining a detailed description of the gut microbiota reaction to food ingredients can be a key to understand how these organisms regulate and bioprocess many of these food components. Extracts prepared from seven chief functional foods, namely green tea, black tea, Opuntia ficus-indica (prickly pear, cactus pear), black coffee, green coffee, pomegranate, and sumac were administered to a gut consortium culture encompassing 8 microbes which are major representatives of gut bacteria. Samples were harvested at 0.5 and 24 h post addition of functional food extract and from blank culture in parallel and analysed for its metabolites composition using gas chromatography coupled to mass spectrometry detection (GC/MS). A total of 131 metabolites were identified belonging to organic acids, alcohols, amino acids, fatty acids, inorganic compounds, nitrogenous compounds, nucleic acids, phenolics, steroids and sugars, with amino acids as the most abundant class in cultures. Considering the complexity of such datasets, multivariate data analyses were employed to classify samples and investigate how functional foods influence gut microbiota metabolisms. Results from this study provided a first insights regarding how functional foods alter gut metabolism through either induction or inhibition of certain metabolic pathways, i.e. GABA production in the presence of higher acidity induced by functional food metabolites such as polyphenols. Likewise, functional food metabolites i.e., purine alkaloids acted themselves as direct substrate in microbiota metabolism. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22762 |
| Farag, M.A., Abdelwareth, A., Sallam, I.E., el Shorbagi, M., Jehmlich, N., Fritz, K., Schaepe, S., Rolle-Kampczyk, U., Ehrlich, A., Wessjohann, L.A., von Bergen, M. (2020): Metabolomics reveals impact of seven functional foods on metabolic pathways in a gut microbiota model J. Adv. Res. 23 , 47 - 59 10.1016/j.jare.2020.01.001 |
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