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Emax Model (emax + model)
Selected AbstractsTK/TD dose,response modeling of toxicityENVIRONMETRICS, Issue 5 2007Munni Begum Abstract In environmental cancer risk assessment of a toxic chemical, the main focus is in understanding induced target organ toxicity that may in turn lead to carcinogenicity. Mathematical models based on systems of ordinary differential equations with biologically relevant parameters are tenable methods for describing the disposition of chemicals in target organs. In evaluation of a toxic chemical, dose,response assessment often addresses only toxicodynamics (TD) of the chemical, while its toxicokinetics (TK) do not enter into consideration. The primary objective of this research is to integrate both TK and TD in evaluation of toxic chemicals while performing dose,response assessment. Population models, with hierarchical setup and nonlinear predictors, for TK concentration and TD effect measures are considered. A one-compartment model with biologically relevant parameters, such as organ volume, uptake rate and excretion rate, or clearance, is used to derive the TK predictor while a two parameter Emax model is used as a predictor for TD measures. Inference of the model parameters with nonnegative and assay's Limit of Detection (LOD) constraints was carried out by Bayesian approaches using Markov Chain Monte Carlo (MCMC) techniques. Copyright © 2006 John Wiley & Sons, Ltd. [source] Pharmacodynamic Analysis of the Interaction between Tiagabine and Midazolam with an Allosteric Model That Incorporates Signal TransductionEPILEPSIA, Issue 3 2003Daniėl M. Jonker Summary: ,Purpose: The objective of this study was to characterize quantitatively the pharmacodynamic interaction between midazolam (MDL), an allosteric modulator of the ,-aminobutyric acid subtype A (GABAA) receptor, and tiagabine (TGB), an inhibitor of synaptic GABA uptake. Methods: The in vivo concentration,response relation of TGB was determined through pharmacokinetic/pharmacodynamic (PK/PD) modeling. Rats received a single intravenous dose of 10 mg/kg TGB in the absence and the presence of a steady-state plasma concentration of MDL. The EEG response in the 11.5- to 30-Hz frequency band was used as the pharmacodynamic end point. Results: Infusion of MDL resulted in a mean steady-state plasma concentration of 66 ± 3 ng/ml. A significant pharmacokinetic interaction with TGB was observed. MDL inhibited TGB clearance by 20 ± 7 ml/min/kg from the original value of 89 ± 6 ml/min/kg. However, no changes in plasma protein binding of both drugs were observed. The concentration,EEG relation of TGB was described by the sigmoid- Emax model. The pharmacodynamic parameter estimates of TGB were: Emax = 327 ± 10 ,V, EC50 = 392 ± 20 ng/ml, and nH = 3.1 ± 0.3. These values were not significantly different in the presence of MDL. Factors that may explain the lack of synergism were identified by a mechanism-based interaction model that separates the receptor activation from the signal-transduction process. High efficiency of signal transduction and the presence of a baseline response were shown to diminish the degree of synergism. Conclusions: We conclude that the in vivo pharmacodynamic interaction between MDL and TGB is additive rather than synergistic. This strongly suggests that allosteric modulation of the antiseizure activity of a GAT-1 inhibitor by a benzodiazepine does not offer a therapeutic advantage. [source] Lamotrigine pharmacokinetic/pharmacodynamic modelling in ratsFUNDAMENTAL & CLINICAL PHARMACOLOGY, Issue 6 2005M.M. Castel-Branco Abstract The aim of this study was to perform a pharmacokinetic/pharmacodynamic (PK/PD) modelling of lamotrigine following its acute administration to rats. Adult male Wistar rats were given 10 mg/kg of lamotrigine intraperitoneally. Plasma and brain samples were obtained at predetermined times over 120 h post-dose and analysed by liquid chromatography. The anticonvulsant profile against maximal electroshock seizure stimulation was determined over 48 h after dosing. As a linear relationship between lamotrigine plasma and brain profiles was observed, only the plasma data set was used to establish the PK/PD relationship. To fit the effect,time course of lamotrigine, the PK/PD simultaneous fitting link model was used: the pharmacokinetic parameters and dosing information were used in the one-compartment first-order model to predict concentrations, which were then used to model the pharmacodynamic data with the sigmoid Emax model, in order to estimate all the parameters simultaneously. The following parameters were obtained: Vd = 2.00 L/kg, kabs = 8.50 h,1, kel = 0.025 h,1, ke0 = 3.75 h,1, Emax = 100.0% (fixed), EC50 = 3.44 mg/L and , = 8.64. From these results, it can be stated that lamotrigine is extensively distributed through the body, its plasma elimination half-life is around 28 h and a lamotrigine plasma concentration of 3.44 mg/L is enough to protect 50% of the animals. When compared with humans, the plasma concentrations achieved with this dose were within the therapeutic concentration range that had been proposed for epileptic patients. With the present PK/PD modelling it was possible to fit simultaneously the time-courses of the plasma levels and the anticonvulsant effect of lamotrigine, providing information not only about the pharmacokinetics of lamotrigine in the rat but also about its anticonvulsant response over time. As this approach can be easily applied to other drugs, it becomes a useful tool for an explanatory comparison between lamotrigine and other antiepileptic drugs. [source] Pharmacokinetics of sertindole and its metabolite dehydrosertindole in rats and characterization of their comparative pharmacodynamics based on in vivo D2 receptor occupancy and behavioural conditioned avoidance responseBIOPHARMACEUTICS AND DRUG DISPOSITION, Issue 4 2009Christoffer Bundgaard Abstract The objectives of this study were to characterize the pharmacokinetics of sertindole and its active metabolite dehydrosertindole in rats and to evaluate the central modulatory and behavioural pharmacodynamics including a competitive interaction model between the compounds. Following oral administration of sertindole or dehydrosertindole, the plasma concentration,time courses were determined in conjunction with striatal dopamine D2 receptor binding. In addition, the behavioural effects were recorded in the conditioned avoidance response (CAR) paradigm. A one-compartment model with Michaelis-Menten elimination best described the pharmacokinetics of sertindole. Formation of dehydrosertindole was incorporated into the pharmacokinetic model and exhibited first-order elimination. PK/PD modelling after administration of dehydrosertindole resulted in potency estimates of 165 and 424,ng/ml for D2 -occupancy (Kd) and CAR measurements (EC50), respectively. The pharmacokinetics of the parent,metabolite system was integrated into a competitive pharmacodynamic Emax model in order to quantitate the potency of sertindole with the pharmacodynamic parameters of the metabolite taken into account. Based on this approach, effect compartment concentrations of sertindole needed to attain 50% occupancy and half-maximal effect in the CAR paradigm were 133 and 338,ng/ml, respectively. The corresponding potency-estimates obtained after conventional modelling of the sertindole data without accounting for the metabolite amounted to 102 and 345,ng/ml. Based on competitive PK/PD analysis of the parent,metabolite interaction, the relative contribution of dehydrosertindole to the overall pharmacological effect after sertindole administration in rats appeared to be of minor significance. This could mainly be ascribed to the relatively low extent of bioconversion of sertindole into dehydrosertindole in this species. Copyright © 2009 John Wiley & Sons, Ltd. [source] A population pharmacokinetic meta-analysis of maraviroc in healthy volunteers and asymptomatic HIV-infected subjectsBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 2008Phylinda L. S. Chan AIMS To develop a population pharmacokinetic model for maraviroc, a noncompetitive CCR5 antagonist, after oral administration of tablets to healthy volunteers and asymptomatic HIV-infected subjects and to quantify the inherent variability and influence of covariates on the parameters of the model. METHODS Rich pharmacokinetic data available from 15 studies in healthy volunteers (n = 365) and two studies in asymptomatic HIV-infected subjects (n = 48) were analysed using NONMEM. Maraviroc was administered as single or multiple oral tablet doses under fasted and fed conditions. Doses ranged from 100 to 1800 mg day,1. RESULTS A two-compartment model parameterized to separate out absorption and clearance components on bioavailability was used. Absorption was described by a lagged first-order process. A sigmoid Emax model described the effect of dose on absorption. A visual predictive check and nonparametric bootstrap evaluation confirmed that the model was a good description of the data. Typical CL, Vc and Vp values for a 30-year-old non-Asian are 51.5 l h,1, 132 l and 277 l, respectively. CONCLUSIONS For the typical non-Asian subject, fasted bioavailability increased asymptotically with dose from 24% at 100 mg to 33% at 600 mg. A high-fat meal taken with maraviroc reduced exposure by 43% for a 100-mg dose to approximately 25% at doses of 600 mg. The typical Asian subject had a 26.5% higher AUC than the typical non-Asian subject irrespective of dose, a difference not considered to be clinically relevant. None of the other covariates tested had any clinically relevant effects on exposure. [source] Population modelling of the effect of inogatran, at thrombin inhibitor, on ex vivo coagulation time (APTT) in healthy subjects and patients with coronary artery diseaseBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 1 2001Marie Cullberg Aims, The purpose of this study was to characterize the relationship between the degree of anticoagulation, assessed by APTT, and the plasma concentration of inogatran in healthy subjects and in patients with coronary artery disease. Methods, Data from five phase I studies in 78 healthy males and two phase II multicentre studies in 948 patients of both sexes with unstable angina pectoris or non-Q-wave myocardial infarction were evaluated. A total of 3296 pairs of concentration-APTT samples were obtained before, during, and after intravenous infusions of inogatran. Mixed effects modelling was used for population pharmacodynamic analysis of the drug effect and for describing the variability in baseline APTT. Results, The population mean baseline APTT was 29 s, but large variations between individuals (s.d. 3.6 s) were observed. The variability between studies (1.3 s) and centres (1.8 s) were of less importance, though statistically significant. APTT increased in a nonlinear manner with increasing inogatran concentration and the relationship was well described by a combined linear and Emax model. A significant part of the overall variability could be ascribed to the APTT reagent and equipment used at the different study centres. These method-dependent differences were compensated for by including the lower limit of the normal reference range as a covariate, affecting both baseline and Emax, in the model. For the typical healthy subject and patient, the method-corrected population mean parameters were: APTTbaseline 35 and 31 s, slope 8.0 and 5.8 s l µmol,1, Emax 36 and 34 s, and EC50 0.54 and 0.72 µmol l,1, respectively. The model predicted plasma concentration needed to double the APTT from the baseline value was 1.25 and 1.45 µmol l,1 in the healthy volunteer and patient, respectively. Conclusions, The nonlinear relationship between APTT and inogatran concentration in plasma was well described by a combined linear and Emax model. Pooling of data was made possible by incorporating a centre-specific characteristic of the assay method in the model. Patients had lower baseline APTT and appeared to have less pronounced effect of inogatran than young healthy subjects. [source] |