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NutriBiome: Diet-microbiota interactions in prospective and interventional human studies

The gut microbiota contributes to inter-individual differences in energy homeostasis and to the development of metabolic disorders linked to detrimental nutritional habits in Westernized countries. This underlines the need to study relationships between food choices and gut bacterial communities. However, all data published so far have been obtained by small-scale studies.

In Nutribiome, we aim at large-scale assessment of bacterial communities by high-throughput sequencing of 16S rRNA genes in faeces from 2 250 participants of the KORA study, a state-of-the-art prospective cohort with a focus on cardiovascular and metabolic diseases. We will describe the variation in the intestinal microbiome of this population, we will look for dietary factors related to distinct community structures, and we will investigate associations with impaired glucose homeostasis. Integration of 16S datasets and dietary data collected by a combination of 24-h diet recalls and food frequency questionnaires will allow identification of bacteriotypes linked to specific food components in a phenotypically well-characterized human cohort.

In the second part of NutriBiome, we will contribute to the development of the Freising study groups within ENABLE. Relying on the use of re-designed food products as obtained by WP2-3 and 4 partners, we will test the effect of fiber-enriched food on the intestinal microbiome in adult subjects and link these changes to metabolic parameters as measured by other WP1 and subproject Z partners.


Our objectives are:

  • To analyse bacterial communities via high-throughput sequencing of 2 250 faecal samples from KORA FF4;
  • To assess dietary intake in KORA FF4 and calculate habitual intake by using the Multiple Source Method;
  • To describe the inter-individual diversity of bacterial profiles and link it to dietary factors and health status (metabolic diseases);
  • To assess the impact of nutritional interventions (in the course of the Freising study groups) on these profiles and analyze whether the latter are predictive of the outcomes of intervention.

Coordinating Investigator

Prof. Dr. Dirk Haller

Technische Universität München
Lehrstuhl für Ernährung und Immunologie
ZIEL Institute for Food and Health

Tel.:    +49 (0) 8161 71 2026
Email: dirk.haller[at]tum.de

Prof. Dr. Jakob Linseisen

Helmholtz Zentrum München
Institut für Epidemiologie II

Tel.:    +49 (0)89 3187 3202
Email: j.linseisen[at]helmholtz-muenchen.de


Julia Six-Merker

Helmholtz Zentrum München
Institut für Epidemiologie II

Email: julia.six-merker@helmholtz-muenchen.de


Prof. Dr. Christa Meisinger

Helmholtz Zentrum München
Institut für Epidemiologie II

Tel.:    +49 (0)89 3187 1087
Email: christa.meisinger[at]helmholtz-muenchen.de


Dr. Klaus Neuhaus

Technische Universität München
ZIEL - Institute for Food & Health
Core Facility Mikrobiom/NGS

Tel.:    +49 (0) 8161 71 5549
Email: neuhaus[at]tum.de

Dr. Thomas Clavel

Technische Universität München
ZIEL - Institute for Food & Health
Core Facility Microbiome/NGS

Tel.:    +49 (0) 8161 71 2375
Email: thomas.clavel[at]tum.de