Session: Modeling human metabolism with metabolomics data (NMC)

Tuesday April 2

14:15 - 15:45, Room: Azië

Different types of models are used to model human metabolism: statistical, steady state, and dynamic models. All of these modeling approaches benefit from having extensive metabolomics data, but the exact characteristics of the data needed differ. In this session, modellers will showcase some of their results using metabolomics data and give their perspective on the type of metabolomics data they would like to have (e.g. time series, fluxes, complete sets of metabolites; tissue concentrations).

Panel discussion: Modellers and experimentalists (who generate human samples or metabolomics data) will identify gaps in current data and identify opportunities to fill those.

Chairs: Ilja Arts, Natal van Riel

Programme

• Peter-Bram 't Hoen, Radboudumc (14:15 - 14:40)
  Search for early pancreatic cancer blood biomarkers in five European prospective population biobanks using metabolomics
• Ronan Fleming, Leiden University (14:40 - 15:00)
  Mechanistic model-driven exometabolomic characterisation of human dopaminergic neuronal metabolism.
• Fianne Sips, TU Eindhoven (15:00 - 15:20)
  Dynamic modeling of time-series metabolomics reveals physiological differences in intestinal bile acid handling between healthy men
• Panel discussion: (15:20 - 15:45)
  Which data do we need to advance the field?

This session is made possible by the Netherlands Metabolomics Center