Unser 10. Leibniz Plant Biochemistry Symposium am 7. und 8. Mai war ein großer Erfolg. Thematisch ging es in diesem Jahr um neue Methoden und Forschungsansätze der Naturstoffchemie. Die exzellenten Vorträge über Wirkstoffe…
Omanische Heilpflanze im Fokus der Phytochemie IPB-Wissenschaftler und Partner aus Dhofar haben jüngst die omanische Heilpflanze Terminalia dhofarica unter die phytochemische Lupe genommen. Die Pflanze ist reich an…
Geschmack ist vorhersagbar: Mit FlavorMiner. FlavorMiner heißt das Tool, das IPB-Chemiker und Partner aus Kolumbien jüngst entwickelt haben. Das Programm kann, basierend auf maschinellem Lernen (KI), anhand der…
Farag, M. A.; Ammar, N. M.; Kholeif, T. E.; Metwally, N. S.; El-Sheikh, N. M.; Wessjohann, L. A.; Abdel-Hamid, A. Z.;Rats’ urinary metabolomes reveal the potential roles of functional foods and exercise in obesity managementFood Funct.8985-996(2017)DOI: 10.1039/C6FO01753C
The complexity of the metabolic changes in obese individuals still presents a challenge for the understanding of obesity-related metabolic disruptions and for obesity management. In this study, a gas chromatography mass spectrometry (GC-MS) based metabolomics approach targeting urine metabolism has been applied to assess the potential roles of functional foods and exercise for obesity management in rats. Male albino rats diagnosed as obese via histopathology and biochemical assays were administered functional foods in common use for obesity management including pomegranate, grapefruit, and red cabbage juice extracts in parallel with swimming exercise. Urine samples were collected from these rats, and likewise from healthy control animals, for metabolite analysis using (GC-MS) coupled to multivariate data analysis. The results revealed a significant elevation in oxalate and phosphate levels in obese rat urine concurrent with lower lactate levels as compared to the control group. Furthermore, and to pinpoint the bioactive agents in the administered functional foods, ultra performance liquid chromatography (UPLC) coupled to high resolution time-of-flight mass spectrometry (TOF-MS) was employed for secondary metabolite profiling. The different phenolic classes found in the examined functional foods, viz. ellagitannins in pomegranate, flavanones in grapefruit and flavonols in red cabbage, are likely to mediate their anti-obesity effects. The results indicate that these functional foods and exercise were quite effective in reverting obesity-related metabolic disruptions back to normal status, as revealed by orthogonal partial least squares-discriminant analysis (OPLS-DA).
Publikation
Farag, M. A.; Handoussa, H.; Fekry, M. I.; Wessjohann, L. A.;Metabolite profiling in 18 Saudi date palm fruit cultivars and their antioxidant potential via UPLC-qTOF-MS and multivariate data analysesFood Funct.71077-1086(2016)DOI: 10.1039/c5fo01570g
Date palm fruit (Phoenix dactylifera) is not only one of the most economically significant plants in the Middle East, but also valued for its nutritional impact, and for which development of analytical methods is ongoing to help distinguish its many cultivars. This study attempts to characterize the primary and secondary metabolite profiles of 18 date cultivars from Saudi Arabia. A total of 44 metabolites extracted from the fruit peel were evaluated in a UPLC-qTOF-MS based metabolomics analysis including flavonoids, phenolic acids and fatty acids. The predominant flavones were glycosides of luteolin and chrysoeriol, as well as quercetin conjugates, whereas caffeoyl shikimic acid was the main hydroxycinnamic acid conjugate. GC-MS was further utilized to identify the primary metabolites in fruits (i.e. sugars) with glucose and fructose accounting for up to 95% of TIC among most cultivars. PCA and OPLS analyses revealed that flavone versus flavonol distribution in fruit were the main contributors for cultivar segregation. The antioxidant activity of date fruit samples was correlated with their total phenolics as determined by DPPH and CUPRAC assays. Dkheni Saudi and Shalabi Madina cultivars, appearing as the most distant in clustering analyses exhibited the strongest antioxidant effect suggesting that multivariate data analysis could help determine which date cultivars ought to be prioritized for future agricultural development.