However, PKPD models in general describe only one or a few biomarkers, therefore leaving a large part of the drug effects overlooked. The aim of this project is to develop a quantitative systems pharmacology method for CNS drug research by integrating PKPD modelling and fingerprint biomarker analysis.

It will be applied to the dopaminergic system as an opportunistic example of a complex system. For different drugs and different systems, time-serial samples from blood and brain ECF are taken in order to analyse drug PK and a fingerprint marker (PD) by metabolomics. To further integrate PKPD modelling and metabolomics, multivariate statistics is applied to construct a fingerprint PD marker from all the single biomarkers that are obtained. Subsequently, with this fingerprint PD marker, a PKPD model will be developed to mathematically describe the time course of effect.

 

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