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Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community
Open AccessPerspective

Translational Metabolomics: Current Challenges and Future Opportunities

1
The New Zealand Institute for Plant and Food Research, Private Bag 92169, Auckland 1142, New Zealand
2
Department of Agriculture, Food and Nutritional Sciences, University of Alberta, Edmonton, AB T6G 2P5, Canada
3
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
4
Analytica Laboratories Ltd., Ruakura Research Centre, Hamilton 3216, New Zealand
*
Author to whom correspondence should be addressed.
Metabolites 2019, 9(6), 108; https://doi.org/10.3390/metabo9060108
Received: 15 May 2019 / Revised: 4 June 2019 / Accepted: 4 June 2019 / Published: 6 June 2019
(This article belongs to the Special Issue Agribio and Food Metabolomics)
Metabolomics is one of the latest omics technologies that has been applied successfully in many areas of life sciences. Despite being relatively new, a plethora of publications over the years have exploited the opportunities provided through this data and question driven approach. Most importantly, metabolomics studies have produced great breakthroughs in biomarker discovery, identification of novel metabolites and more detailed characterisation of biological pathways in many organisms. However, translation of the research outcomes into clinical tests and user-friendly interfaces has been hindered due to many factors, some of which have been outlined hereafter. This position paper is the summary of discussion on translational metabolomics undertaken during a peer session of the Australian and New Zealand Metabolomics Conference (ANZMET 2018) held in Auckland, New Zealand. Here, we discuss some of the key areas in translational metabolomics including existing challenges and suggested solutions, as well as how to expand the clinical and industrial application of metabolomics. In addition, we share our perspective on how full translational capability of metabolomics research can be explored. View Full-Text
Keywords: biomarker; clinical and industrial application; personalised medicine and nutrition; multi-omics; metabolite quantification biomarker; clinical and industrial application; personalised medicine and nutrition; multi-omics; metabolite quantification
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MDPI and ACS Style

Pinu, F.R.; Goldansaz, S.A.; Jaine, J. Translational Metabolomics: Current Challenges and Future Opportunities. Metabolites 2019, 9, 108.

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