Gut Metabotypes as Biomarkers for Nutrition and Health

ERA-HDHL cofunded call “Biomarkers for Nutrition and Health” (BioNH 2016)
Gut Metabotypes as Biomarkers for Nutrition and Health
Prof. Dr. Matthias Laudes
University Hospital of Schleswig Holstein


Partner Organization Partner Country
Human Nutrition and Food ScienceGermany
University of CalgaryCanada
Medizinische Universität GrazAustria

1. Overall project description

1.1 Summary

The aim of the consortium is to use markers of a normal host-microbiome interaction as an indicator for human health and/or a healthy life style. The reasons for that are (1) that gut microbiome changes are associated with several diseases and (2) that a set of markers is more likely to be indicative for a healthy state compared to a single molecule (biopattern versus biomarker). To that extent the consortium has been started to make use of 3 large human cohorts with detailed geno- and phenotyping (incl. 16sRNA microbiome analysis), one for identification of biopatterns (FoCus) and two independent cohorts for validation purpose (TOMORROW, PopGen). From a technical point of view the consortium has started to perform both, metabolomics as well as lipidomics analysis of serum samples of subjects from the FoCus cohort in order to identify bacterial metabolites in the human serum indicating a “healthy” gut-microbiome interaction as a biopattern for health.

1.2 Highlights

A re- call has been started in both Canada and Germany for a subset of FoCus and Tomorrow probands in order to be able to validate the indicative biopatterns, not only in independent cohorts but also in the same individuals in a longitudinal approach. Preliminary results indicate interesting associations between nutrional data, microbiomics and metabolomics, in particular regarding bile acid metabolism.

4. Impact

4.1 List of publications

AuthorsTitleYear, Issue, PPPartners NumberDoiPdf

4.2 Presentation of the project

Target groupAuthorsMeans of communicationHyperlinkPdf

4.3 List of submitted patents and other outputs

Patent licencePartners involvedYearInternational eu or national patentCommentPdf

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This project has received funding from the European Union’s
H2020 Research and Innovation Programme under grant agreement n.696300

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