Home page / Annual Meetings & Training / Annual Meetings / Annual Meeting 2017 / Fellows Speed Presentations / New databases on food compounds and food metabolome to support discovery of novel dietary biomarkers

Jarlei Fiamoncini

Human Nutrition Unit, Clermont-Ferrand

New databases on food compounds and food metabolome to support discovery of novel dietary biomarkers

Annual meeting: 2017

Fields-Topics: P4 Nutrition

Type of talk: Fellows Speed Presentation

New databases on food compounds and food metabolome to support discovery of novel dietary biomarkers


Jarlei Fiamoncini studied Biological Sciences at the University of Itajaí Valley (Itajaí, Brazil) and received the PhD degree from the department of Physioloy and Biophysics at the University of São Paulo (Brazil). The topic of his thesis was the study of n-3PUFA effects on energy metabolism and type2 diabetes in mice. After the PhD, Jarlei started a post-doc at the University of São Paulo, investigating the relationship between n-3PUFA and energy metabolism, but focusing on hepatic fatty acid oxidation. In this period, he joined the chair of Nutritional Physiology at the Technical University of Munich (Fresing, Germany), as a visiting scientist, applying mass spectrometry tools to investigate intermediate metabolism in mice. In January 2014, Jarlei was hired as a post-doc at the Technical University of Munich to use different mass spectrometry-based platforms in the study of post-prandial metabolism, as part of the Nutritech project. Since June 2016 thanks to an AgreenSkills fellowship, Jarlei joined the team of Claudine Manach at INRA (Saint-Genés Champanelle, France), being involved in the activities of the FoodBAll project (strategies for food biomarker notably of the metabolome in man). After the end of his participation in the FoodBAll project, Jarlei is now back to Brazil, where he will apply all the skills and networking acquired in the last years to continue his research on experimental nutrition and metabolism of phytochemicals.


New databases on food compounds and food metabolome to support discovery of novel dietary biomarkers

The quantification of food intake is an important part of nutrition studies, normally done using food frequency questionaires. Unfortunately, this method is prone to under or overreporting of food intake, compromising the interpretation of results in many cases. Markers of food intake are the best alternative to overcome this problem as they provide a direct measure of food consumption, allowing more accuracy in nutrition cohorts. So far, only few food items are covered by validated biomarkers of intake and the discovery of novel markers is necessary to push nutrition research forward. The present proposal is part of a EU-funded project – FoodBall (Food Biomarkers Alliance) aiming to develop the missing tools and resources to facilitate the identification of biomarkers of food intake using metabolomics. It includes the main tasks described bellow: Construction of a database on food metabolome: The database will contain chemical and biochemical data on all known dietary compounds, the foods where they are found as well as their concentration. It will include both known (reported in the literature) and in silico predicted human metabolites of dietary compounds. Development of a library for food-derived metabolites A new chemical library will be created including standards for food compounds and their metabolites as well as directories of laboratories where these standards may be obtained. Food compound metabolites will also be directly obtained through in vivo biotransformation of specific food constituents. Reference MS and NMR spectral information will be collected and made available. The tools described above will be available to the scientific community through a public web portal which will also include any further information considered useful or that may facilitate the identification and use of dietary biomarkers and the interaction of the different groups.

The above presentations are protected under a Creative Commons non-commercial, non-derivative license (BY-NC-ND).

You are free to:
Share copy and redistribute the material in any medium or format.
Under the following terms:
Attribution You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial You may not use the material for commercial purposes.
NoDerivatives If you remix, transform, or build upon the material, you may not distribute the modified material.