Short Course C

Metabolomics meets Clinical Chemistry

November 6

This advanced one-day course will introduce the concepts of metabolomics and will illustrate how clinical chemistry and medicine can benefit from this rapidly moving field of technology. In the area of medicine metabolomics aims at finding (sets of) diagnostic, prognostic and predictive biomarkers which are closely associated to the development of clinical phenotypes, progression to disease and response to treatment. The metabolomics pipeline includes the formulation of a relevant hypothesis, experimental approach, sample collection and pre-analytical work-up, data acquisition and preprocessing, data analysis and biological interpretation. Software tools are needed for proper data preprocessing while biostatistical tools are invaluable for the interpretation of large and complex sets of data.
The need of better biomarkers for the diagnosis, treatment and prevention of a great variety of disease is highlighted in the lecture of Prof Smeitink illustrated by the complexity of the field of (inborn) mitochondrial disorders. Important aspects of the metabolomics pipeline will be discussed in the lectures by Prof Hankemeier and Prof Boos. Finally, in the lectures of Prof Fowler and Prof Rinaldo it will be discussed how metabolomics can benefit from the experiences in the field of inborn errors of metabolism and how this field can further develop by the tools and techniques provide by metabolomics.
This course should be interesting for clinical chemists and clinicians working in various disciplines of medicine (pediatrics, internal medicine, neurology, obstetrics).
Requests for accreditation is applied for at the Societies of interest.

08.30-08.45Introduction by Ruud Berger
08.45-10.15Jan SmeitinkHuman complex I from bench to bedside
10.15-10.45Coffee break
10.45-12.15Brian FowlerPotential of metabolomics in Inborn errors of metabolism
13.15-14.00Thomas HankemeierMetabolomics: prime time for clinical chemistry?
14.00-14.45Karl-Siegfried BoosNew strategies for sample preparation: whole blood analysis
14.45-15.15Coffee break
15.15-16.45Piero RinaldoFrom normal to disease ranges: quality improvement of the interpretation of complex metabolic profiles without analyte cutoff values
16.45-17.00Questions / closing
Ruud Berger