Selected Papers from The Inaugural Conference on Food and Nutritional Metabolomics and 14th Annual Ohio Mass Spectrometry Symposium

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

Deadline for manuscript submissions: closed (20 December 2017) | Viewed by 30215

Special Issue Editor

Campus Chemical Instrument Center, Associate Mass Spectrometry & Proteomics Facility Director, The Ohio State University, Columbus, OH, USA
Interests: mass spectrometry; peptide fragmentation mechanisms; gas-phase H/D exchange; synthetic polymer analysis; astrobiological applications; biological, biochemical and proteomic applications

Special Issue Information

Dear Colleagues,

The Ohio State University’s Foods for Health Discovery Theme will host its inaugural Conference on Food and Nutritional Metabolomics in conjunction with the 14th Annual Ohio Mass Spectrometry Symposium on 17–18 May, 2017.

Academic and industrial researchers will present findings, share information, and spark new collaborations in the rapidly advancing fields of metabolomics and mass spectrometry. The conference agenda includes keynote speakers (Dr. Gary Patti of Washington University in St. Louis and Dr. Robert Gerszten of Harvard University), invited speakers (including Ohio State's Dr. Rafael Bruschweiler, Dr. Devin Peterson, and Dr. Ewy Mathé), and oral and poster presentations in the following topic areas:

  • Metabolomics technology as a tool to determine dietary impact on metabolic phenotypes as related to health
  • Food chemistry
  • Food quality and flavor
  • Proteomics
  • Nucleic acids
  • Bioinformatics
  • Recent advances in mass spectrometric instrumentation and analyses

An evening reception and opportunities for industry-academic discussions will foster networking.
The conference will be preceded by An Introduction to Metabolomics, a compelling workshop presented by OSU experts on the basic principles and applications of metabolomics technology.

Dr. Arpad Somogyi
Guest Editor

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Keywords

  • Metabolomics
  • Food
  • Nutrition
  • Mass Spectrometry
  • Proteomics
  • Food Chemistry
  • Bioinformatics

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Published Papers (4 papers)

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Research

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11 pages, 1630 KiB  
Communication
Identification of an Epoxide Metabolite of Lycopene in Human Plasma Using 13C-Labeling and QTOF-MS
by Morgan J. Cichon, Nancy E. Moran, Ken M. Riedl, Steven J. Schwartz and Steven K. Clinton
Metabolites 2018, 8(1), 24; https://doi.org/10.3390/metabo8010024 - 20 Mar 2018
Cited by 9 | Viewed by 5804
Abstract
The carotenoid lycopene is a bioactive component of tomatoes and is hypothesized to reduce risk of several chronic diseases, such as prostate cancer. The metabolism of lycopene is only beginning to be understood and some studies suggest that metabolites of lycopene may be [...] Read more.
The carotenoid lycopene is a bioactive component of tomatoes and is hypothesized to reduce risk of several chronic diseases, such as prostate cancer. The metabolism of lycopene is only beginning to be understood and some studies suggest that metabolites of lycopene may be partially responsible for bioactivity associated with the parent compound. The detection and characterization of these compounds in vivo is an important step in understanding lycopene bioactivity. The metabolism of lycopene likely involves both chemical and enzymatic oxidation. While numerous lycopene metabolites have been proposed, few have actually been identified in vivo following lycopene intake. Here, LC-QTOF-MS was used along with 13C-labeling to investigate the post-prandial oxidative metabolism of lycopene in human plasma. Previously reported aldehyde cleavage products were not detected, but a lycopene 1,2-epoxide was identified as a new candidate oxidative metabolite. Full article
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15 pages, 2816 KiB  
Article
RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites
by Bofei Zhang, Senyang Hu, Elizabeth Baskin, Andrew Patt, Jalal K. Siddiqui and Ewy A. Mathé
Metabolites 2018, 8(1), 16; https://doi.org/10.3390/metabo8010016 - 22 Feb 2018
Cited by 33 | Viewed by 10527
Abstract
The value of metabolomics in translational research is undeniable, and metabolomics data are increasingly generated in large cohorts. The functional interpretation of disease-associated metabolites though is difficult, and the biological mechanisms that underlie cell type or disease-specific metabolomics profiles are oftentimes unknown. To [...] Read more.
The value of metabolomics in translational research is undeniable, and metabolomics data are increasingly generated in large cohorts. The functional interpretation of disease-associated metabolites though is difficult, and the biological mechanisms that underlie cell type or disease-specific metabolomics profiles are oftentimes unknown. To help fully exploit metabolomics data and to aid in its interpretation, analysis of metabolomics data with other complementary omics data, including transcriptomics, is helpful. To facilitate such analyses at a pathway level, we have developed RaMP (Relational database of Metabolomics Pathways), which combines biological pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, WikiPathways, and the Human Metabolome DataBase (HMDB). To the best of our knowledge, an off-the-shelf, public database that maps genes and metabolites to biochemical/disease pathways and can readily be integrated into other existing software is currently lacking. For consistent and comprehensive analysis, RaMP enables batch and complex queries (e.g., list all metabolites involved in glycolysis and lung cancer), can readily be integrated into pathway analysis tools, and supports pathway overrepresentation analysis given a list of genes and/or metabolites of interest. For usability, we have developed a RaMP R package (https://github.com/Mathelab/RaMP-DB), including a user-friendly RShiny web application, that supports basic simple and batch queries, pathway overrepresentation analysis given a list of genes or metabolites of interest, and network visualization of gene-metabolite relationships. The package also includes the raw database file (mysql dump), thereby providing a stand-alone downloadable framework for public use and integration with other tools. In addition, the Python code needed to recreate the database on another system is also publicly available (https://github.com/Mathelab/RaMP-BackEnd). Updates for databases in RaMP will be checked multiple times a year and RaMP will be updated accordingly. Full article
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14 pages, 3140 KiB  
Article
Calcitriol Supplementation Causes Decreases in Tumorigenic Proteins and Different Proteomic and Metabolomic Signatures in Right versus Left-Sided Colon Cancer
by Monica M. Schroll, Katelyn R. Ludwig, Kerry M. Bauer and Amanda B. Hummon
Metabolites 2018, 8(1), 5; https://doi.org/10.3390/metabo8010005 - 11 Jan 2018
Cited by 8 | Viewed by 6237
Abstract
Vitamin D deficiency is a common problem worldwide. In particular, it is an issue in the Northern Hemisphere where UVB radiation does not penetrate the atmosphere as readily. There is a correlation between vitamin D deficiency and colorectal cancer incidence and mortality. Furthermore, [...] Read more.
Vitamin D deficiency is a common problem worldwide. In particular, it is an issue in the Northern Hemisphere where UVB radiation does not penetrate the atmosphere as readily. There is a correlation between vitamin D deficiency and colorectal cancer incidence and mortality. Furthermore, there is strong evidence that cancer of the ascending (right side) colon is different from cancer of the descending (left side) colon in terms of prognosis, tumor differentiation, and polyp type, as well as at the molecular level. Right-side tumors have elevated Wnt signaling and are more likely to relapse, whereas left-side tumors have reduced expression of tumor suppressor genes. This study seeks to understand both the proteomic and metabolomic changes resulting from treatment of the active metabolite of vitamin D, calcitriol, in right-sided and left-sided colon cancer. Our results show that left-sided colon cancer treated with calcitriol has a substantially greater number of changes in both the proteome and the metabolome than right-sided colon cancer. We found that calcitriol treatment in both right-sided and left-sided colon cancer causes a downregulation of ribosomal protein L37 and protein S100A10. Both of these proteins are heavily involved in tumorigenesis, suggesting a possible mechanism for the correlation between low vitamin D levels and colon cancer. Full article
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Review

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14 pages, 1985 KiB  
Review
Nanoparticle-Assisted Metabolomics
by Bo Zhang, Mouzhe Xie, Lei Bruschweiler-Li and Rafael Brüschweiler
Metabolites 2018, 8(1), 21; https://doi.org/10.3390/metabo8010021 - 13 Mar 2018
Cited by 18 | Viewed by 6955
Abstract
Understanding and harnessing the interactions between nanoparticles and biological molecules is at the forefront of applications of nanotechnology to modern biology. Metabolomics has emerged as a prominent player in systems biology as a complement to genomics, transcriptomics and proteomics. Its focus is the [...] Read more.
Understanding and harnessing the interactions between nanoparticles and biological molecules is at the forefront of applications of nanotechnology to modern biology. Metabolomics has emerged as a prominent player in systems biology as a complement to genomics, transcriptomics and proteomics. Its focus is the systematic study of metabolite identities and concentration changes in living systems. Despite significant progress over the recent past, important challenges in metabolomics remain, such as the deconvolution of the spectra of complex mixtures with strong overlaps, the sensitive detection of metabolites at low abundance, unambiguous identification of known metabolites, structure determination of unknown metabolites and standardized sample preparation for quantitative comparisons. Recent research has demonstrated that some of these challenges can be substantially alleviated with the help of nanoscience. Nanoparticles in particular have found applications in various areas of bioanalytical chemistry and metabolomics. Their chemical surface properties and increased surface-to-volume ratio endows them with a broad range of binding affinities to biomacromolecules and metabolites. The specific interactions of nanoparticles with metabolites or biomacromolecules help, for example, simplify metabolomics spectra, improve the ionization efficiency for mass spectrometry or reveal relationships between spectral signals that belong to the same molecule. Lessons learned from nanoparticle-assisted metabolomics may also benefit other emerging areas, such as nanotoxicity and nanopharmaceutics. Full article
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