Nutritional and Food Metabolomics

A special issue of Metabolites (ISSN 2218-1989).

Deadline for manuscript submissions: closed (31 March 2018)

Special Issue Editor


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Guest Editor
Food Quality and Nutrition Department, Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy
Interests: plant biotechnology; pathway analysis; protein biochemistry; genetics; polyphenols; secondary metabolites and their biosynthesis; medicinal and aromatic plants; metabolomics; enzymology; yeast engineering
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Special Issue Information

Dear Colleagues,

In recent years, metabolomics has become a major breakthrough technology that tries to analyze, in a comprehensive way, all known and also unknown small molecule metabolites—the metabolome—in any biological matrices. Therefore, metabolomics is an essential tool used in many areas of nutrition research and food science. There is a tremendous progress in this technology as a tool to determine dietary impact on metabolic phenotypes as related to health, to analyze outcomes associated with changes in the diet, to study and characterize the chemistry of foods, fruits and herbs but also the bioavailability of food in the body for short and long term wellbeing. The advances from technology and metabolomics standpoints in the years has further opened new fields in metabolomics aiming to understand the nature of diseases, nutritional diet and the role diet plays physiologically. Importantly, the integration of metabolomics with other approaches, such as genetics, transcriptomics, metabolism, microbiome analysis, nutritional sciences and informatics for data processing has to be established its immense relevance in complex biosystems research.

The present Special Issue of Metabolites has the major goal to present the recent developments, trends and applications in the field of Nutritional and Food Metabolomics.

Dr. Stefan Martens
Guest Editor

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Keywords

  • nutritional metabolomics
  • food chemistry
  • food quality and flavor
  • bioavailability
  • nutrition
  • diet and health
  • biomarkers
  • data analysis and bioinformatics
  • technical advances

Published Papers (2 papers)

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Research

17 pages, 3253 KiB  
Article
Lipidomic Profiling of Murine Macrophages Treated with Fatty Acids of Varying Chain Length and Saturation Status
by Kevin Huynh, Gerard Pernes, Natalie A. Mellett, Peter J. Meikle, Andrew J. Murphy and Graeme I. Lancaster
Metabolites 2018, 8(2), 29; https://doi.org/10.3390/metabo8020029 - 23 Apr 2018
Cited by 17 | Viewed by 6046
Abstract
Macrophages are abundant within adipose tissue depots where they are exposed to fatty acids, leading to lipid accumulation. Herein, we have determined the effects of various fatty acids on the macrophage lipidome. Using targeted mass-spectrometry, we were able to detect 641 individual lipid [...] Read more.
Macrophages are abundant within adipose tissue depots where they are exposed to fatty acids, leading to lipid accumulation. Herein, we have determined the effects of various fatty acids on the macrophage lipidome. Using targeted mass-spectrometry, we were able to detect 641 individual lipid species in primary murine macrophages treated with a variety of saturated fatty acids and an un-saturated fatty acid, either alone or in combination. The most pronounced effects were observed for the long-chain saturated fatty acid palmitate, which increased the total abundance of numerous classes of lipids. While other medium- and long-chain saturated fatty acids, as well as the long-chain unsaturated fatty acid, had less pronounced effects on the total abundance of specific lipid classes, all fatty acids induced marked alterations in the abundance of numerous lipid species within given lipid classes. Fatty acid treatment markedly altered overall phospholipid saturation status; these effects were most pronounced for phosphatidylcholine and ether-phosphatidylcholine lipid species. Finally, treatment of macrophages with either palmitate or stearate in combination with oleate prevented many of the changes that were observed in macrophages treated with palmitate or stearate alone. Collectively, our results reveal substantial and specific remodelling of the macrophage lipidome following treatment with fatty acids. Full article
(This article belongs to the Special Issue Nutritional and Food Metabolomics)
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27 pages, 27597 KiB  
Article
GC-MS Based Metabolomics and NMR Spectroscopy Investigation of Food Intake Biomarkers for Milk and Cheese in Serum of Healthy Humans
by Alessia Trimigno, Linda Münger, Gianfranco Picone, Carola Freiburghaus, Grégory Pimentel, Nathalie Vionnet, François Pralong, Francesco Capozzi, René Badertscher and Guy Vergères
Metabolites 2018, 8(2), 26; https://doi.org/10.3390/metabo8020026 - 23 Mar 2018
Cited by 42 | Viewed by 9721
Abstract
The identification and validation of food intake biomarkers (FIBs) in human biofluids is a key objective for the evaluation of dietary intake. We report here the analysis of the GC-MS and 1H-NMR metabolomes of serum samples from a randomized cross-over study in 11 [...] Read more.
The identification and validation of food intake biomarkers (FIBs) in human biofluids is a key objective for the evaluation of dietary intake. We report here the analysis of the GC-MS and 1H-NMR metabolomes of serum samples from a randomized cross-over study in 11 healthy volunteers having consumed isocaloric amounts of milk, cheese, and a soy drink as non-dairy alternative. Serum was collected at baseline, postprandially up to 6 h, and 24 h after consumption. A multivariate analysis of the untargeted serum metabolomes, combined with a targeted analysis of candidate FIBs previously reported in urine samples from the same study, identified galactitol, galactonate, and galactono-1,5-lactone (milk), 3-phenyllactic acid (cheese), and pinitol (soy drink) as candidate FIBs for these products. Serum metabolites not previously identified in the urine samples, e.g., 3-hydroxyisobutyrate after cheese intake, were detected. Finally, an analysis of the postprandial behavior of candidate FIBs, in particular the dairy fatty acids pentadecanoic acid and heptadecanoic acid, revealed specific kinetic patterns of relevance to their detection in future validation studies. Taken together, promising candidate FIBs for dairy intake appear to be lactose and metabolites thereof, for lactose-containing products, and microbial metabolites derived from amino acids, for fermented dairy products such as cheese. Full article
(This article belongs to the Special Issue Nutritional and Food Metabolomics)
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