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Metabolites
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Recent Advances in Metabolomics (IECM-3)
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Recent Advances in Metabolomics (IECM-3)

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 8319

Special Issue Editors

Prof. Dr. Susan Sumner

E-Mail Website
Guest Editor
Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Interests: metabolism; diabetes; obesity; cognitive development; liver disease; natural products; maternal and child health
Special Issues, Collections and Topics in MDPI journals
Dr. Thusitha W. Rupasinghe

E-Mail Website
Guest Editor
School of BioSciences, University of Melbourne, Parkville, VIC 3052, Australia
Interests: lipidomics; metabolomics; bioanalytics; fluxomics; analytical chemistry; plant physiology
Special Issues, Collections and Topics in MDPI journals
Dr. Katja Dettmer-Wilde

E-Mail Website
Guest Editor
Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
Interests: metabolomics; small molecule analysis; seperation science; hyphenated mass spectrometry; sample preparation for metabolomics; cancer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metabolites held the 3rd International Electronic Conference of Metabolomics (http://sciforum.net/conference/iecm-3) online from 15–30 November, 2018. The conference covered a wide range of topics in metabolomics. A non-exhaustive list of what were considered comprises is as follows:

  • Advanced Metabolomics and Data Analysis Approaches
  • Identification of Unknowns
  • Precision Nutrition and Food Specific Profiles
  • Microbiota and Metabolomics
  • Pathway Mapping and Fluxomics

Part of the Special Issue will include selected invited contributions from the 3rd International Electronic Conference on Metabolomics (IECM-3). We also encourage other contributions from the broader metabolomics community.

Prof. Dr. Susan Sumner
Dr. Thusitha W. Rupasinghe
Dr. Katja Dettmer-Wilde
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

8 pages, 344 KiB  
Article
WebSpecmine: A Website for Metabolomics Data Analysis and Mining
by Sara Cardoso, Telma Afonso, Marcelo Maraschin and Miguel Rocha
Metabolites 2019, 9(10), 237; https://doi.org/10.3390/metabo9100237 - 19 Oct 2019
Cited by 13 | Viewed by 3622
Abstract
Metabolomics data analysis is an important task in biomedical research. The available tools do not provide a wide variety of methods and data types, nor ways to store and share data and results generated. Thus, we have developed WebSpecmine to overcome the aforementioned [...] Read more.
Metabolomics data analysis is an important task in biomedical research. The available tools do not provide a wide variety of methods and data types, nor ways to store and share data and results generated. Thus, we have developed WebSpecmine to overcome the aforementioned limitations. WebSpecmine is a web-based application designed to perform the analysis of metabolomics data based on spectroscopic and chromatographic techniques (NMR, Infrared, UV-visible, and Raman, and LC/GC-MS) and compound concentrations. Users, even those not possessing programming skills, can access several analysis methods including univariate, unsupervised and supervised multivariate statistical analysis, as well as metabolite identification and pathway analysis, also being able to create accounts to store their data and results, either privately or publicly. The tool’s implementation is based in the R project, including its shiny web-based framework. Webspecmine is freely available, supporting all major browsers. We provide abundant documentation, including tutorials and a user guide with case studies. Full article
(This article belongs to the Special Issue Recent Advances in Metabolomics (IECM-3))
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10 pages, 947 KiB  
Article
Eicosanoid Profile of Influenza A Virus Infected Pigs
by Daniel Schultz, Karen Methling, KoInfekt Study Group, Michael Rothe and Michael Lalk
Metabolites 2019, 9(7), 130; https://doi.org/10.3390/metabo9070130 - 03 Jul 2019
Cited by 9 | Viewed by 4088
Abstract
Respiratory tract infections caused by the Influenza A virus (IAV) are a worldwide problem for human and animal health. Within this study, we analyzed the impact of IAV infection on the immune-related lipidome (eicosanoids) of the pig as new infection model. For this [...] Read more.
Respiratory tract infections caused by the Influenza A virus (IAV) are a worldwide problem for human and animal health. Within this study, we analyzed the impact of IAV infection on the immune-related lipidome (eicosanoids) of the pig as new infection model. For this purpose, we performed HPLC-MS/MS using dynamic multiple reaction monitoring and analyzed lung, spleen, blood plasma and bronchoalveolar lavages. IAV infection leads to collective changes in the levels of the analyzed hydroxyeicosatrienoic acids (HETEs), hydroxydocosahexaenoic acids (HDHAs) and epoxyeicosatrienoic acids (EETs), and moreover, unique eicosanoid changes in several sample types, even under mild infection conditions. In accordance with different mouse infection studies, we observed infection-related patterns for 12-HETE, 15-HETE and 17-HDHA, which seem to be common for IAV infection. Using a long-term approach of 21 days we established an experimental setup that can be used also for bacterial-viral coinfection experiments. Full article
(This article belongs to the Special Issue Recent Advances in Metabolomics (IECM-3))
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