Rikard Landberg

Rikard Landberg, Professor of Food and Health. Chalmers University of Technology

Rikard Landberg has a background in food science and molecular nutrition from Swedish University of Agricultural Sciences and Karolinska Institutet and did a postdoc visit at Harvard School of Public Health. He was recruited as professor of Food and Health to the Department of Biology and Biological Engineering at Chalmers University of Technology in 2016. His group studies the role of diet and dietary components in health and disease using observational and intervention studies as well as in various model systems. Large scale metabolomics (MS- and NMR- techniques) has become a center point of the research for discovery and validation of exposure and prediction biomarkers, and currently, for molecular phenotyping to discover biomarkers to guide (dietary) intervention individualization strategies. RL is the principle investigator of several international and national research collaboration projects and has during the last 4 years received > 4 m euro from different funding bodies to support his research program. In the recently started OpDiMet-project (funded by formas), extensive data and samples are collected during 1 year among 500 men and women participating in the currently established Danish Diet Cancer and Health- Next Generations cohort (n=55 000), with one aim to develop biomarkers of metabotypes to aid tailored dietary interventions.

RL is a visiting scientist at Danish Cancer Society Research Center in Copenhagen and at the Nutritional Epidemiology Unit at the Institute of Environmental Medicine, Karolinska Institutet. RL has authored ~75 papers, ~10 book chapters, delivered ~10 invited lectures and is the editor of one book. RL has an H-index of 22 according to Scopus.

Metabolomics- a yet underexplored tool in precision medicine and nutrition

  • The metabolome, i.e. the pool of metabolites in a biological system represents a snapshot of the final molecular read out of what has been encoded by the genome, modified by foods, drugs pollutants, gut microbiota and it provides information about the metabolic state of an individual.
  • Metabolomics signatures of the metabolome are expected not only to provide improved predictive, prognostic, diagnostic and surrogate markers of different disease and health states, but also to provide insights of underlying mechanisms of disease and further allow discovery of biomarkers of intervention response phenotypes.
  • Metabolomics to provide comprehensive information of individuals’ metabolic state, is a yet under-explored tool in precision medicine and nutrition.
  • Analytical platforms and data handling pipelines have recently been developed, also in the Nordic countries, which makes it possible to measure thousands of metabolite in biological samples.
  • Examples and ideas of how metabolomics data can be used to define variation in responses to treatment and thus provide a powerful tool for precision medicine and nutrition will be given.


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