Background: Ketamine has cardiac excitatory side-effects. Currently, data on the effects of ketamine and metabolite concentrations on cardiac output are scarce. We therefore developed a... Show moreBackground: Ketamine has cardiac excitatory side-effects. Currently, data on the effects of ketamine and metabolite concentrations on cardiac output are scarce. We therefore developed a pharmacodynamic model derived from data from a randomised clinical trial. The current study is part of a larger clinical study evaluating the potential mitigating effect of sodium nitroprusside on the psychedelic effects of ketamine.Methods: Twenty healthy male subjects received escalating esketamine and racemic ketamine doses in combination with either placebo or sodium nitroprusside on four visits: (i) esketamine and placebo, (ii) esketamine and sodium nitroprusside, (iii) racemic ketamine and placebo, and (iv) racemic ketamine and sodium nitroprusside. During each visit, arterial blood samples were obtained and cardiac output was measured. Nonlinear mixed-effect modelling was used to analyse the cardiac output time-series data. Ketamine metabolites were added to the model in a sequential manner to evaluate the effects of metabolites.Results: A model including an S-ketamine and S-norketamine effect best described the data. Ketamine increased cardiac output, whereas modelling revealed that S-norketamine decreased cardiac output. No significant effects were detected for R-ketamine, metabolites other than S-norketamine, or sodium nitroprusside on cardiac output.Conclusions: S-Ketamine, but not R-ketamine, increased cardiac output in a dose-dependent manner. In contrast to Sketamine, its metabolite S-norketamine reduced cardiac excitation in a dose-dependent manner. Show less
Kamp, J.; Jonkman, K.; Velzen, M. van; Aarts, L.; Niesters, M.; Dahan, A.; Olofsen, E. 2020
Background: Recent studies show activity of ketamine metabolites, such as hydroxynorketamine, in producing rapid relief of depression-related symptoms and analgesia. To improve our understanding of... Show moreBackground: Recent studies show activity of ketamine metabolites, such as hydroxynorketamine, in producing rapid relief of depression-related symptoms and analgesia. To improve our understanding of the pharmacokinetics of ketamine and metabolites norketamine, dehydronorketamine, and hydroxynorketamine, we developed a population pharmacokinetic model of ketamine and metabolites after i.v. administration of racemic ketamine and the S-isomer (esketamine). Pharmacokinetic data were derived from an RCT on the efficacy of sodium nitroprusside (SNP) in reducing the psychotomimetic side-effects of ketamine in human volunteers.Methods: Three increasing i.v. doses of esketamine and racemic ketamine were administered to 20 healthy volunteers, and arterial plasma samples were obtained for measurement of ketamine and metabolites. Subjects were randomised to receive esketamine/SNP, esketamine/placebo, racemic ketamine/SNP, and racemic ketamine/placebo on four separate occasions. The time-plasma concentration data of ketamine and metabolites were analysed using a population compartmental model approach.Results: The pharmacokinetics of ketamine and metabolites were adequately described by a seven-compartment model with two ketamine, norketamine, and hydroxynorketamine compartments and one dehydronorketamine compartment with metabolic compartments in-between ketamine and norketamine, and norketamine and dehydronorketamine main compartments. Significant differences were found between S- and R-ketamine enantiomer pharmacokinetics, with up to 50% lower clearances for the R-enantiomers, irrespective of formulation. Whilst SNP had a significant effect on ketamine clearances, simulations showed only minor effects of SNP on total ketamine pharmacokinetics.Conclusions: The model is of adequate quality for use in future pharmacokinetic and pharmacodynamic studies into the efficacy and side-effects of ketamine and metabolites. Show less
Purpose To develop and validate a population pharmacokinetic model of ciprofloxacin intravenously in critically ill patients, and determine target attainment to provide guidance for more effective... Show morePurpose To develop and validate a population pharmacokinetic model of ciprofloxacin intravenously in critically ill patients, and determine target attainment to provide guidance for more effective regimens. Methods Non-linear mixed-effects modelling was used for the model development and covariate analysis. Target attainment of an integral AUC(0-24)/MIC >= 100 for different MICs was calculated for standard dosing regimens. Monte Carlo simulations were performed to define the probability of target attainment (PTA) of several dosing regimens. Results A total of 204 blood samples were collected from 42 ICU patients treated with ciprofloxacin 400-1200 mg/day, with median values for age of 66 years, APACHE II score of 22, BMI of 26 kg/m(2), and eGFR of 58.5 mL/min/1.73 m(2). The median integral AUC(0-24) and integral C-max were 29.9 mg center dot h/L and 3.1 mg/L, respectively. Ciprofloxacin pharmacokinetics were best described by a two-compartment model. We did not find any significant covariate to add to the structural model. The proportion of patients achieving the target integral AUC(0-24)/MIC >= 100 were 61.9% and 16.7% with MICs of 0.25 and 0.5 mg/L, respectively. Results of the PTA simulations suggest that a dose of >= 1200 mg/day is needed to achieve sufficient integral AUC(0-24)/MIC ratios. Conclusions The model described the pharmacokinetics of ciprofloxacin in ICU patients adequately. No significant covariates were found and high inter-individual variability of ciprofloxacin pharmacokinetics in ICU patients was observed. The poor target attainment supports the use of higher doses such as 1200 mg/day in critically ill patients, while the variability of inter-individual pharmacokinetics parameters emphasizes the need for therapeutic drug monitoring to ensure optimal exposure. Show less
Bury, D.; Heine, R. ter; Garde, E.M.W. van de; Nijziel, M.R.; Grouls, R.J.; Deenen, M.J. 2019
According to the amyloid cascade hypothesis, accumulation of beta-amyloid (Aβ) peptides initiates the pathological cascade in Alzheimer's disease (AD). Early in the disease process, before clinical... Show moreAccording to the amyloid cascade hypothesis, accumulation of beta-amyloid (Aβ) peptides initiates the pathological cascade in Alzheimer's disease (AD). Early in the disease process, before clinical symptoms, an increase in Aβ concentrations leads to formation of toxic Aβ oligomers. These oligomers drive the neurodegeneration in AD brain. An important therapeutic strategy is to lower Aβ concentration in the CNS. Theoretically, this can prevent all subsequent pathological processes. Aβ is the final product of sequential proteolytic cleavages of the precursor protein APP. The drug effects on the individual pathways of APP processing are hard to predict, because these are regulated by a complex biochemical network. In this research, a 'systems pharmacology' approach was applied, integrating available knowledge of biology and pharmacology of system reactions into mathematical models. The APP-system-pharmacology-model provides important information about the APP processing pathways: (i) Aβ production inhibition leads to a relatively greater decrease in Aβ oligomers compared to monomers (ii) dissociation of oligomers contributes to the drug effect; (iii) Aβ42 is the major Aβ variant that contributes to the oligomer pool; (iv) inhibition of the enzyme GS stimulates alternative processing of APP by feedback. The APP-system-pharmacology-model can be of value in development of therapeutic interventions for AD. Show less
Model based approaches, integrating physiological parameters or linking exposure with response, are powerful tools to quantify and evaluate the impact of genetic differences that are reflected as... Show moreModel based approaches, integrating physiological parameters or linking exposure with response, are powerful tools to quantify and evaluate the impact of genetic differences that are reflected as variability of drug exposure and/or clinical response(s). This thesis __Pharmacogenomics in Drug Development: Implementation and Application of PKPD Model Based Approaches__ focused on genotype differences in explaining inter-individual variability in drug metabolism and clinical response. Population pharmacokinetic and pharmacodynamic models were developed to evaluate the relationship between exposure differences resulting from UGT2B15 genotype and their effects on both fasting plasma glucose and glycosylated haemoglobin for the type 2 diabetes drug, Sipoglitazar__. The model was used to quantify the optimal dose and regime (Single treatment/genotyped-based or titrated based upon response) for future clinical trials. Evaluating the potential impact of genetic differences early during development is important to appropriately design future clinical studies and to ensure that exposure response relationships for efficacy and safety can be identifed for all genetic subgroups. Ultimately, these model-based approaches can be used to determine if covariate-based dose individualization would be advantageous/beneficial to normalize exposure and minimize variability in clinical outcomes across heterogeneous clinical populations. Show less
This book focuses on novel approach to characterize developmental changes in pharmacokinetics across human lifespan with the up-to-date Nonlinear Mixed Effect Modeling techniques.
Het onderzoek in het proefschrift heeft betrekking op het opzetten van een theoretisch kader voor het modeleren van ziekteprogressie op een mechanistische grondslag. De nadruk ligt op de uitwerking... Show moreHet onderzoek in het proefschrift heeft betrekking op het opzetten van een theoretisch kader voor het modeleren van ziekteprogressie op een mechanistische grondslag. De nadruk ligt op de uitwerking van dit concept voor een chronisch progressieve ziekte; postmenopausale osteoporose. De onderliggende aanname is dat een betere, samenhangende, beschrijving van dit soort ziektes wordt verkregen door de combinatie van 1) een wiskundige structuur gebaseerd op het onderliggende biologische mechanisme met 2) fysiologische data die de ziekteprogressie en de behandelingseffecten weergeven. Het onderzoek heeft aangetoond dat het modeleren van postmenopausale osteoporose op basis van een ziektesysteem analyse (__disease system analysis__) leidt tot waardevolle inzichten in zowel symptomatische als beschermende (ziekte modificerende) effecten op verschillende biologische markers. Er kan gesteld worden dat deze mechanistische ziektesystemen een __kennisbank__ kunnen en moeten vormen om een beter ge_nformeerd besluitvormingsproces tijdens de ontwikkeling (farmaceutische industrie), de beoordeling (overheden) en uiteindelijk het klinische gebruik van geneesmiddelen. Ziekteprogressie modellen maken het steeds beter mogelijk om informatie vanuit meerdere bronnen samen te voegen op basis van de kennis over het geneesmiddel en de ziekte. Met toenemende kennis over het systeem en de behandelingseffecten van bestaande en nieuwe geneesmiddelen kunnen deze modellen continue worden verbeterd en ingezet in het onderzoek en gebruik van deze middelen. Uiteindelijk leidt dit tot een meer effici_nte en kosteneffectieve benadering van geneesmiddelontwikkeling en het klinisch gebruik van geneesmiddelen. Het is van groot belang dat de farmaceutische industrie, academische instellingen en de overheid verder samenwerken aan het onderzoeken en vergroten van de mogelijkheden van een dergelijke gestructureerde aanpak (www.tipharma.nl). Show less
The overall goal was to develop individualized dosing guidelines for the sedatives propofol and midazolam in infants and in critically ill patients, on the basis of population pharmacokinetic... Show moreThe overall goal was to develop individualized dosing guidelines for the sedatives propofol and midazolam in infants and in critically ill patients, on the basis of population pharmacokinetic-pharmacodynamic (PK-PD) modeling. Both under- and oversedation significantly and adversely affects patient outcome. Due to the high intra- and interindividual variability in dose requirements dosing is complicated. In this thesis the interindividual variability in response has been examined by covariate analysis. In this analysis the effects of bodyweight, cardiac function, severity of illness and liver blood flow and the unexplained interindividual variability have been characterized. It was shown that infants require higher doses of propofol because of differences in pharmacokinetics rather than pharmacodynamics. When comparing the results of the PK-PD model of propofol and midazolam in infants, propofol is preferred over midazolam because of the lower interindividual variability in pharmacodynamics compared to midazolam. In critically ill patients severity of the illness was found to be a major determinant of the level of sedation, with lower propofol dosing requirements with increasing severity of illness. The PK-PD models can be used as a basis for individualized dosing of propofol and midazolam, which is essential for optimizing the quality of sedation in clinical practice and will improve patients__ outcome. Show less
