Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates. One of the reasons is the lack of blood-based biomarkers that represent the interaction between... Show moreDiscovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates. One of the reasons is the lack of blood-based biomarkers that represent the interaction between the drug and the neurological systems of interest. Here we present a systems-pharmacology approach that combines a multi-biomarker approach (e.g. metabolomics) with pharmacokinetic/pharmacodynamic (PK/PD) modeling to reveal quantitative pharmacological characteristics that are relevant to dopaminergic drug action. Moreover, we set out to identify biomarkers that can be obtained from the blood as non-invasive sampling site. In the first section of this thesis the methodology is introduced in the context of translational CNS drug development. Moreover, a systematic search is performed to available biomarkers of dopaminergic drug action. Then, in the second part, the multi-biomarker PK/PD approach is applied to biomarkers from the neuroendocrine system as connection between brain and blood. In the third section, the methodology is developed using the simultaneous, time-resolved metabolomics response in brain extracellular fluid and plasma. By applying multi-biomarker PK/PD modeling we revealed quantitative pharmacological characteristics of dopaminergic drugs with regard to multiple biological processes. Moreover, we identified potential blood-based biomarkers of dopaminergic effect in the brain. Show less