Multi-biomarker pharmacokinetic-pharmacodynamic relationships of central nervous systems active dopaminergic drugs

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 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. Pharmacolog

Growth of Candida famata and Trichosporon cutaneum on uric acid as the sole source of carbon and energy, a hitherto unknown property of yeasts

Yeast strains capable of utilizing uric acid as the sole source of carbon and energy were isolated from soil by the enrichment culture method. The strains were identified as Candida famata (Harrison) Meyer et Yarrow and Trichosporon cutaneum (De Beurm., Gougerot et Vaucher) Ota. On the subcellular level growth of yeasts on uric acid was accompanied with the development of a number of large microbodies in the cells.

Bundling arrows: improving translational CNS drug development by integrated PK/PD-metabolomics

Diseases of the Central Nervous System (CNS) affect millions of people worldwide, with the number of people affected quickly growing. Unfortunately, the successful development of CNS-acting drugs is less than 10%, and this is attributed to the complexity of the CNS, unexpected side effects, difficulties in penetrating the blood-brain barrier and lack of biomarkers. Areas covered: Herein, the authors first review how pharmacokinetic/pharmacodynamic (PK/PD) models are designed to predict the dose-dependent time course of effect, and how they are used to translate drug effects from animal to man. Then, the authors discuss how pharmacometabolomics gives insight into system-wide pharmacological effects and why it is a promising method to study interspecies differences. Finally, the authors advocate the application of PK/PD-metabolomics modeling to advance translational CNS drug development by discussing its opportunities and challenges. Expert opinion: It is envisioned that PK/PD-metabolomics will increase our understanding of CNS drug effects and improve translational CNS drug development, thereby increasing success rates. The successful future development of this concept will require multi-level and longitudinal biomarker evaluation over a large dose range, multi-tissue biomarker evaluation, and the generation of a proof of principle by application to multiple CNS drugs in multiple species. INTRODUCTIONArticle / Letter to editorLeiden Academic Centre for Drug Researc

Receptor activation using multi-biomarker pharmacokinetic/pharmacodynamic modelling

receptor activation was evaluated using quinpirole as a paradigm compound. ), as well as plasma concentrations of 13 hormones and neuropeptides, were measured. Experiments were performed at day 1 and repeated after 7-day s.c. drug administration. PK/PD modelling was applied to identify the in vivo concentration-effect relations and neuroendocrine dynamics. receptor expression levels on the pituitary hormone-releasing cells predicted the concentration-effect relationship differences. Baseline levels (ACTH, prolactin, TSH), hormone release (ACTH) and potency (TSH) changed with treatment duration. agonists in clinical practice. Further development towards quantitative systems pharmacology models will eventually facilitate mechanistic drug development. BACKGROUND AND PURPOSE EXPERIMENTAL APPROACH KEY RESULTS CONCLUSIONS AND IMPLICATION

Access to the CNS: Biomarker Strategies for Dopaminergic Treatments

Despite substantial research carried out over the last decades, it remains difficult to understand the wide range of pharmacological effects of dopaminergic agents. The dopaminergic system is involved in several neurological disorders, such as Parkinson's disease and schizophrenia. This complex system features multiple pathways implicated in emotion and cognition, psychomotor functions and endocrine control through activation of G protein-coupled dopamine receptors. This review focuses on the system-wide effects of dopaminergic agents on the multiple biochemical and endocrine pathways, in particular the biomarkers (i.e., indicators of a pharmacological process) that reflect these effects. Dopaminergic treatments developed over the last decades were found to be associated with numerous biochemical pathways in the brain, including the norepinephrine and the kynurenine pathway. Additionally, they have shown to affect peripheral systems, for example the hypothalamus-pituitary-adrenal (HPA) axis. Dopaminergic agents thus have a complex and broad pharmacological profile, rendering drug development challenging. Considering the complex system-wide pharmacological profile of dopaminergic agents, this review underlines the needs for systems pharmacology studies that include: i) proteomics and metabolomics analysis; ii) longitudinal data evaluation and mathematical modeling; iii) pharmacokinetics-based interpretation of drug effects; iv) simultaneous biomarker evaluation in the brain, the cerebrospinal fluid (CSF) and plasma; and v) specific attention to condition-dependent (e.g., disease) pharmacology. Such approach is considered essential to increase our understanding of central nervous system (CNS) drug effects and substantially improve CNS drug development.Pharmacolog

Bundling arrows: improving translational CNS drug development by integrated PK/PD-metabolomics

Diseases of the Central Nervous System (CNS) affect millions of people worldwide, with the number of people affected quickly growing. Unfortunately, the successful development of CNS-acting drugs is less than 10%, and this is attributed to the complexity of the CNS, unexpected side effects, difficulties in penetrating the blood-brain barrier and lack of biomarkers. Areas covered: Herein, the authors first review how pharmacokinetic/pharmacodynamic (PK/PD) models are designed to predict the dose-dependent time course of effect, and how they are used to translate drug effects from animal to man. Then, the authors discuss how pharmacometabolomics gives insight into system-wide pharmacological effects and why it is a promising method to study interspecies differences. Finally, the authors advocate the application of PK/PD-metabolomics modeling to advance translational CNS drug development by discussing its opportunities and challenges. Expert opinion: It is envisioned that PK/PD-metabolomics will increase our understanding of CNS drug effects and improve translational CNS drug development, thereby increasing success rates. The successful future development of this concept will require multi-level and longitudinal biomarker evaluation over a large dose range, multi-tissue biomarker evaluation, and the generation of a proof of principle by application to multiple CNS drugs in multiple species. INTRODUCTIONAnalytical BioScience

De invloed van de UV doorlatendheid van het kasdekmateriaal op plaaginsecten en gewas : additionele voordelen van energiebesparende kasdekmaterialen

Nieuwe energiebesparende kasdekmaterialen hebben in vergelijking met glas een andere UV transmissie die invloed kan hebben op de groei van de planten, maar ook op die van plaaginsecten, schimmels, predatoren en bestuivende insecten. Het doel van dit onderzoek is om het integraal effect van een veranderd UV spectrum op teelten vast te stellen. Hierbij is het van belang om aan te tonen of bepaalde energiebesparende kasdekmaterialen additionele voordelen hebben voor de bestrijding van ziekten en plagen en vervolgens een snellere introductie zouden kunnen hebben. In een literatuurstudie is nagegaan wat de effecten zijn van UV straling en van andere delen van het stralingsspectrum op andere organismen in de kas. Vrijwel al het onderzoek wijst op een aanzienlijke afname van plaaginsecten (trips, wittevlieg, bladluis, spintmijt, mineervlieg) bij toepassing van UV absorberende kasdekmaterialen. Hierdoor treden ook minder virusziekten op