Metabolomics Laboratory

We develop and apply innovative metabolomics methodologies in order to identify and characterize the metabolic profiles and biomarkers in different human pathologies. We also develop analytical methods to translate the key findings into the clinic.

Together with the Department of Systems Medicine, we apply metabolomics in order to achieve a system-level understanding of metabolism and to translate this knowledge into novel solutions to benefit human health.

The Steno Metabolomics Laboratory has platforms and protocols available for the metabolomics studies of human biofluids and tissues, as well as if cellular and animal models.  We have platforms both for untargeted profiling (mostly semi-quantitative, partly quantitative) as well as for targeted quantitative analysis of selected key metabolites. With these methodologies, we broadly cover the metabolism, including lipid metabolism, amino acid metabolism, central carbon metabolism, urea cycle, bile acid metabolism as well as several metabolites related to gut microbiota.

Methodology
We have two methodologies for global untargeted profiling:

  • Polar metabolites are analyzed by Leco Pegasus IV GC×GC-TOFMS with a Gerstel dual rail autosampler
  • Molecular lipids are analyzed by Agilent UHPLC-QTOFMS

The identification of metabolites from GC×GC-TOFMS data is based on several spectral libraries, including in-house library and the use of retention indexes. The identification of lipids is based on the in-house spectral library. For data preprocessing and data-analysis we use both in-house developed software packages as well as several commercial software packages available.

The targeted protocols cover e.g. fatty acids, amino acids, bile acids, acylcarnitines, metabolites related to central carbon metabolism and steroids. One UHPLC-QqQMS instrument for targeted metabolomics analysis is dedicated for the use at Steno clinic.

Sidst opdateret 04-11-2015

Contact

Peter Rossing
Head of Research

E-mail peter.rossing@regionh.dk
Phone +45 30 91 33 83