Transit Compartment Research Articles

Pharmacokinetics of Isoniazid, Pyrazinamide, and Ethambutol in Newly Diagnosed Pulmonary TB Patients in Tanzania.

Exposure to lower-than-therapeutic levels of anti-tuberculosis drugs is likely to cause selection of resistant strains of Mycobacterium tuberculosis and treatment failure. The first-line anti-tuberculosis (TB) regimen consists of rifampicin, isoniazid, pyrazinamide, and ethambutol, and correct management reduces risk of TB relapse and development of drug resistance. In this study we aimed to investigate the effect of standard of care plus nutritional supplementation versus standard care on the pharmacokinetics of isoniazid, pyrazinamide and ethambutol among sputum smear positive TB patients with and without HIV. In a clinical trial in 100 Tanzanian TB patients, with or without HIV infection, drug concentrations were determined at 1 week and 2 months post initiation of anti-TB medication. Data was analysed using population pharmacokinetic modelling. The effect of body size was described using allometric scaling, and the effects of nutritional supplementation, HIV, age, sex, CD4+ count, weight-adjusted dose, NAT2 genotype, and time on TB treatment were investigated. The kinetics of all drugs was well characterised using first-order elimination and transit compartment absorption, with isoniazid and ethambutol described by two-compartment disposition models, and pyrazinamide by a one-compartment model. Patients with a slow NAT2 genotype had higher isoniazid exposure and a lower estimate of oral clearance (15.5 L/h) than rapid/intermediate NAT2 genotype (26.1 L/h). Pyrazinamide clearance had an estimated typical value of 3.32 L/h, and it was found to increase with time on treatment, with a 16.3% increase after the first 2 months of anti-TB treatment. The typical clearance of ethambutol was estimated to be 40.7 L/h, and was found to decrease with age, at a rate of 1.41% per year. Neither HIV status nor nutritional supplementations were found to affect the pharmacokinetics of these drugs in our cohort of patients.

Pharmacodynamic models of age-structured cell populations.

The purpose of this work is to review basic pharmacodynamic (PD) models describing drug effects on cell populations and expand them to age-structured models using the theory of physiologically structured populations. The plasma drug concentrations are interpreted as the environment affecting the cell production and mortality rates. An explicit solution to model equations provides the age density distribution that serves to establish a relationship between the cell lifespan distribution and the hazard of cell removal. Given the lifespan distributions, the age distributions for most commonly applied PD models of cell responses including basic cell turnover, transit compartments, and basic lifespan models have been derived both for the baseline conditions and drug treatment. The steady-state age distribution for basic indirect response models is exponential, and it is uniform for the basic lifespan model. As an example of more complex cell population, the age distribution of human red blood cells has been simulated based on a recent model of red blood cell survival. The age distribution for cells in the transit compartment model is the sum of the gamma functions. Means and variances of age distributions for all discussed models were calculated. A brief discussion of numerical challenges and possible future model developments is presented.

The effects of camicinal, a novel motilin agonist, on gastro-esophageal function in healthy humans-a randomized placebo controlled trial.

A proportion of patients with foregut dysmotility fail to respond to standard interventions. Motilin agonists may be beneficial in this group. We aimed to determine the effect of camicinal, a novel motilin agonist, on gastrointestinal physiology in healthy volunteers. Healthy male subjects were randomly assigned to receive a single dose of 125mg camicinal or placebo in a double-blind cross-over design. Esophageal function and reflux indices were assessed using high-resolution manometry (pre and 1.5-h post dose) and 24-h ambulatory multichannel intraluminal impedance/pH. After a standardized meal, subjects ingested a wireless motility capsule from which compartmental transit times and motility indices were derived. Subjects were restudied with the alternate intervention after 7days. The study subjects (12 male, mean age 47.4years, range 22-55) tolerated the drug well, except one who exhibited mild abdominal pain on both placebo and camicinal. In comparison to placebo, gastric emptying time (GET) was accelerated following camicinal (-115.4min, 95% confidence interval -194.4, -36.4, p=0.009). No effect was demonstrable on esophageal function, small bowel, colonic, or whole bowel transit times and motility indices. With camicinal, as part of a post hoc analysis, there was a trend association between the percentage reduction in GET and total number of acidic reflux events (r=0.56, p=0.09). Camicinal decreases GET and was generally well-tolerated. In health, the direct effects of camicinal are on accelerating GET with a potential secondary benefit of reducing reflux events, which warrant further exploration in patient cohorts.

Abstract 4510: Model-based phase II dose selection of c-Met inhibitor MSC2156119J

Abstract Objectives: To evaluate the dose/exposure/target inhibition/tumor growth relationship of MSC2156119J, an orally administered, reversible, ATP-competitive, highly potent and selective c-Met receptor tyrosine kinase inhibitor, in order to determine the recommended phase II dose (RP2D) for the program. Methods: Interim pharmacokinetic (PK) and biomarker (PD) data, i.e. plasma concentrations and c-Met inhibition in tumor biopsies from an ongoing first-in-human (FIM) solid tumor trial of MSC2156119J, were analyzed using the population modeling approach. The exposure/target inhibition relationship established in rich sampled KP-4 xenografted mice was utilized as prior information to develop the human model. Model-based simulations of the c-Met inhibition profiles in humans, aiming for a level that achieved tumor regression in mice, helped to determine the biologically active dose of MSC2156119J. Results: During the FIM study, the maximum tolerated dose of MSC2156119J was not reached at a dose of 1,400 mg/day. Instead, a biologically active dose was selected as the RP2D, based on a translational modeling approach that integrated the quantitative relationship between dose, exposure, and target as well as tumor inhibition in humans and in a preclinical model. In KP-4 xenografted mice, tumor c-Met inhibition (quantified as normalized phosphorylated c-Met expression [pMET]) was described by a turnover full inhibitory Imax model, and tumor growth inhibition was best described by the Simeoni model. Simulations demonstrated that nearly complete pMET inhibition (≥95%) is required for tumor stasis or even regression. In the FIM study, a one-compartment linear model with an absorption transit compartment best described the PK of MSC2156119J at doses of 30-700 mg. The turnover model developed from mice data was applied to evaluate the level of c-Met inhibition in paired human tumor biopsies (taken pre- and on-treatment). System turnover parameters for pMET were set equal to those estimated in mice, while the treatment potency (1/IC50 of the inhibition of build-up) of MSC2156119J in humans was found to be 1.7-fold higher than that in mice. Assuming a 30% inter-individual variability in IC50, human simulations suggested that a 500-mg once-daily dose regimen of MSC2156119J could achieve continuous pMET inhibition of ≥95% in 90% of the population. The model and simulation will be confirmed using additional PK data and further tumor biopsies. Conclusions: c-Met inhibition in human tumor lesions was described by a turnover model developed in KP-4 xenografted mice. Using this translational modeling and simulation approach and human PK and target inhibition data from paired tumor biopsies, a biologically active dose of 500 mg was proposed as the RP2D for MSC2156119J. This dose achieves continuous pMET inhibition of ≥95% in 90% of the population and has been adopted for the current development program for MSC2156119J. Citation Format: Wenyuan Xiong, Samer El Bawab, Friedhelm Bladt, Michael Meyring, Manfred Klevesath, Gerald Falchook, David Hong, Andreas Johne, Pascal Girard. Model-based phase II dose selection of c-Met inhibitor MSC2156119J. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4510. doi:10.1158/1538-7445.AM2015-4510

Simultaneous Characterization of Intravenous and Oral Pharmacokinetics of Lychnopholide in Rats by Transit Compartment Model.

The pharmacokinetic properties of a new molecular entity are important aspects in evaluating the viability of the compound as a pharmacological agent. The sesquiterpene lactone lychnopholide exhibits important biological activities. The objective of this study was to characterize the pharmacokinetics of lychnopholide after intravenous administration of 1.65 mg/kg (n = 5) and oral administration of 3.3 mg/kg (n = 3) lychnopholide in rats (0.2 ± 0.02 kg in weight) through nonlinear mixed effects modeling and non-compartmental pharmacokinetic analysis. A highly sensitive analytical method was used to quantify the plasma lychnopholide concentrations in rats. Plasma protein binding of this compound was over 99 % as determined by a filtration method. A two-compartment body model plus three transit compartments to characterize the absorption process best described the disposition of lychnopholide after both routes of administration. The oral bioavailability was approximately 68 %. The clearance was 0.131 l/min and intercompartmental clearance was 0.171 l/min; steady-state volume of distribution was 4.83 l. The mean transit time for the absorption process was 9.15 minutes. No flip-flop phenomenon was observed after oral administration. The pharmacokinetic properties are favorable for further development of lychnopholide as a potential oral pharmacological agent.

Distributed transit compartments for arbitrary lifespan distributions in aging populations

Transit compartment models (TCM) are often used to describe aging populations where every individual has its own lifespan. However, in the TCM approach these lifespans are gamma-distributed which is a serious limitation because often the Weibull or more complex distributions are realistic. Therefore, we extend the TCM concept to approximately describe any lifespan distribution and call this generalized concept distributed transit compartment models (DTCMs). The validity of DTCMs is obtained by convergence investigations. From the mechanistic perspective the transit rates are directly controlled by the lifespan distribution. Further, DTCMs could be used to approximate the convolution of a signal with a probability density function. As example a stimulatory effect of a drug in an aging population with a Weibull-distributed lifespan is presented where distribution and model parameters are estimated based on simulated data.

N-acetyltransferase genotypes and the pharmacokinetics and tolerability of para-aminosalicylic acid in patients with drug-resistant pulmonary tuberculosis.

The aim of this study was to examine the relationships between N-acetyltransferase genotypes, pharmacokinetics, and tolerability of granular slow-release para-aminosalicylic acid (GSR-PAS) in tuberculosis patients. The study was a randomized, two-period, open-label, crossover design wherein each patient received 4 g GSR-PAS twice daily or 8 g once daily alternately. The PAS concentration-time profiles were modeled by a one-compartment disposition model with three transit compartments in series to describe its absorption. Patients' NAT1 and NAT2 genotypes were determined by sequencing and restriction enzyme analysis, respectively. The number of daily vomits was modeled by a Poisson probability mass function. Comparisons of other tolerability measures by regimens, gender, and genotypes were evaluated by a linear mixed-effects model. The covariate effects associated with efavirenz, gender, and NAT1*3, NAT1*14, and NAT2*5 alleles corresponded to 25, 37, -17, -48, and -27% changes, respectively, in oral clearance of PAS. The NAT1*10 allele did not influence drug clearance. The time above the MIC of 1 mg/liter was significantly different between the two regimens but not influenced by the NAT1 or NAT2 genotypes. The occurrence and intensity of intolerance differed little between regimens. Four grams of GSR-PAS twice daily but not 8 g once daily ensured concentrations exceeding the MIC (1 mg/liter) throughout the dosing interval; PAS intolerance was not related to maximum PAS concentrations over the doses studied and was not more frequent after once-daily dosing. We confirm that the slow phenotype conferred by the NAT1*14 and NAT1*3 alleles resulted in higher PAS exposure but found no evidence of increased activity of the NAT1*10 allele.

Population Pharmacokinetic and Pharmacodynamic Modeling and Effects on Platelet Counts of Different Dosages of Eltrombopag in Chinese Patients With Chronic Primary Immune Thrombocytopenia

PurposeThis study characterized the population pharmacokinetic (pop-PK) and PK/pharmacodynamic (pop-PK/PD) properties of eltrombopag and evaluated platelet count (PLTC) response to different eltrombopag dosages through simulations in Chinese adult patients with chronic primary immune thrombocytopenia (cITP). MethodsPop-PK and pop-PK/PD models were developed from Chinese patients with cITP. Model-based simulations were then performed to predict PLTC response. FindingsThe pop-PK properties of eltrombopag were described by a 2-compartment model with first-order absorption and elimination and absorption lag time. Steady-state exposure in these Chinese patients was ~55% greater than that in non–East Asian patients. The pop-PK/PD properties of eltrombopag were described by a model with 4 transit compartments where the increase in platelet production rate was linearly related to the plasma eltrombopag concentration. Eleven percent of the patients were identified as nonresponders to eltrombopag. Simulations showed that ~70% to 80% of steady-state PLTC response was achieved at week 2, and the percentages of patients who achieved a PLTC of 50 to 150 × 109 cells/L were comparable between weeks 2 and 6 with 12.5-, 25-, 50-, and 75-mg once-daily dosing. The 25-mg once-daily dosage was associated with a more balanced response than were the 12.5-, 50-, and 75-mg once-daily dosages with regard to efficacy (percentages of patients with PLTC 50–150 × 109 cells/L, 27% vs 20%, 30%, and 30%, respectively) and the risk for thrombocytosis (percentages of patients with PLTC >250 × 109 cells/L, 4% vs 1%, 10%, and 16%). Simulations of PLTCs with the dose-titration regimen showed that ≥42% of patients achieved a PLTC 50 to 150 × 109 cells/L at week 6 or later, compared with ≤30% when the 12.5-, 25-, 50-, and 75-mg once-daily fixed doses were given. No more than 5% of patients who underwent dose titration had a PLTC >250 × 109 cells/L throughout 24 weeks of treatment, compared with 3%, 7%, 16%, and 24% when the once-daily fixed doses of eltrombopag were given. ImplicationsThe pop-PK and pop-PK/PD properties of eltrombopag in these Chinese adult patients with cITP were adequately characterized in the present analyses. The modeling and simulation results support the eltrombopag dose-titration regimen, with 25 mg once daily as a starting dosage and a 2-week titration interval, in Chinese patients with cITP.

Development of a population PK model of tacrolimus for adaptive dosage control in stable kidney transplant patients.

Tacrolimus pharmacokinetics (PK) presents a high variability that hampers its therapeutic use. The aims of this study are to: (1) develop a population pharmacokinetic (PPK) model for tacrolimus and to identify the factors that contribute to the variability of tacrolimus PK in renal transplant patients; and (2) to establish a new Bayesian estimator that can easily and routinely be applied in the hospital. A new PPK model may allow efficacy to be optimized, improve dose regimens, minimize side effects, and decrease the cost of extensive area under the curve (AUC) monitoring. PPK analysis of the full PK profiles of 16 patients on 5 occasions was performed with NONMEM 7.2. Biochemical variables (hematocrit, hemoglobin, aspartate aminotransferase, and others) were analyzed. A 2-open-compartment model with interoccasion variability best described the PK of tacrolimus. Three transit compartments provided the best description of the absorption process. The hematocrit, aspartate aminotransferase, and alanine aminotransferase were not significant in the covariate analysis. External validation with 91 patients proved the good predictability of the model with a bias and precision of 0.37 mcg/L (CI 95%, -0.11 to 1.20 mcg/L) and 0.38 mcg/L (CI 95%, 0.02 to 1.21 mcg/L), respectively. A limited sampling strategy using 1 sampling point at predose (trough concentrations) showed a good performance in AUC0-12h estimation with a correlation between AUCfull and AUCLSS, bias and imprecision of r = 0.75, 6.78% (range, -16.26% to 30.06%) and 1.42% (IC 95%, 0.14%-3.61%), respectively. The PPK model developed provides reliable prior information for Bayesian adaptive control of dosage regimens of tacrolimus to achieve the desired AUC goals in stable renal transplant patients.

Model-based assessment of erlotinib effect in vitro measured by real-time cell analysis.

Real time cell analysis (RTCA) is an impedance-based technology which tracks various living cell characteristics over time, such as their number, morphology or adhesion to the extra cellular matrix. However, there is no consensus about how RTCA data should be used to quantitatively evaluate pharmacodynamic parameters which describe drug efficacy or toxicity. The purpose of this work was to determine how RTCA data can be analyzed with mathematical modeling to explore and quantify drug effect in vitro. The pharmacokinetic-pharmacodynamic erlotinib concentration profile predicted by the model and its effect on the human epidermoïd carcinoma cell line A431 in vitro was measured through RTCA output, designated as cell index. A population approach was used to estimate model parameter values, considering a plate well as the statistical unit. The model related the cell index to the number of cells by means of a proportionality factor. Cell growth was described by an exponential model. A delay between erlotinib pharmacokinetics and cell killing was described by a transit compartment model, and the effect potency, by an E max function of erlotinib concentration. The modeling analysis performed on RTCA data distinguished drug effects in vitro on cell number from other effects likely to modify the relationship between cell index and cell number. It also revealed a time-dependent decrease of erlotinib concentration over time, described by a mono-exponential pharmacokinetic model with nonspecific binding.

Dose – response relationship of bevacizumab in hereditary hemorrhagic telangiectasia

Hereditary hemorrhagic telangiectasia (HHT), a genetic vascular disorder associated with epistaxis and hepatic shunts, is responsible for high-output cardiac failure in rare cases. Bevacizumab, which targets vascular endothelial growth factor, was shown to decrease both cardiac index (CI) and epistaxis duration in HHT patients with severe liver involvement. The relationship between its serum concentration and change in both CI and epistaxis duration was investigated to design the bevacizumab maintenance dosing regimen of future therapeutic studies. Twenty-five HHT patients with dyspnea and high CI were included in a prospective non-comparative study. They received bevacizumab at a dose of 5 mg/kg per infusion every 14 days for a total of 6 injections. The relationships between bevacizumab serum concentration and both CI and epistaxis duration were described using transit compartments and direct inhibition pharmacokinetic-pharmacodynamic models. The performances of different maintenance regimens were evaluated using simulation. Infusions every 3, 2 and one months were predicted to maintain 41%, 45% and 50% of patients with CI <4 L/min/m2 at 24 months, respectively. The fraction of patients with <20 min epistaxis per month was predicted to be 34%, 43% and 60%, with infusion every 3, 2 or one months, respectively. Simulations of the effects of different maintenance dosing regimens predict that monthly 5 mg/kg infusions of bevacizumab should allow sustained control of both cardiac index and epistaxis.

Population pharmacokinetic analysis of the multiple peaks phenomenon in sumatriptan

+ The first two authors contributed equally to this work. The objective of this study was to develop a population pharmacokinetic (PK) model for sumat - riptan, which frequently shows an atypical absorption profile with multiple peaks. Sumatriptan, a selective agonist for the vascular serotonin (5-HT1) receptor that causes vasoconstriction of the cerebral arteries, is used for the acute treatment of migraine attack with or without aura. Despite its relatively high between-subject variability, few reports have addressed PK modeling of sumatriptan. Plasma data obtained after a single 50-mg oral dose of sumatriptan in 26 healthy Korean male sub - jects were used. Blood samples were collected 0 (predose), 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3, 4, 6, 8, 10, and 12 h after dosing. Plasma sumatriptan concentrations were analyzed using UPLC/MS/MS. Pop - ulation PK analysis was performed using plasma concentration data for sumatriptan with NON- MEM (ver. 7.2). A total of 364 concentrations of sumatriptan were captured by a one-compartment model with first-order elimination, and a combined transit compartment model and first-order absorption with lag time was successful in describing the PK with multiple peaks in the absorption phase of sumatriptan. The creatinine clearance as a covariate significantly ( P < 0.01) influenced the absorption fraction (f ). The final model was validated through a visual predictive check and boot - strapping with no serious model misspecification.

Modeling and Simulation Support Eltrombopag Dosing in Thrombocytopenic Patients with Chronic HCV Infection

The pharmacokinetics of eltrombopag and its stimulation of platelet production were characterized in patients with chronic hepatitis C virus (HCV) infection to optimize an eltrombopag dosing regimen for treatment of HCV-related thrombocytopenia before and throughout peginterferon (pegIFN)-based antiviral therapy. Population pharmacokinetic analysis for eltrombopag included 663 individuals (healthy subjects, n = 28; patients with HCV, n = 635). Population pharmacokinetic/pharmacodynamic analysis for platelet response involved patients with HCV only. Simulations were conducted using various dosing scenarios in the same patient population. Eltrombopag pharmacokinetics were described by a two-compartment model with dual sequential first-order absorption and elimination. Age, race, sex, and severity of hepatic impairment were predictors of eltrombopag clearance. The effect of eltrombopag on platelet counts was adequately described by a model with four transit compartments in which eltrombopag concentrations stimulated the production rate of platelet precursors in an Emax manner. Modeling and simulation results support once-daily eltrombopag 25mg as an appropriate starting dosing regimen followed by biweekly dose escalation (in 25-mg increments) up to once-daily eltrombopag 100mg to raise platelet counts sufficiently for initiation of pegIFN-based antiviral therapy in patients with HCV. Biweekly dose adjustment allows patients to stay on the lowest possible eltrombopag dose during antiviral therapy.

Population pharmacokinetics of morphine and morphine-6-glucuronide following rectal administration – A dose escalation study

IntroductionTo safely and effectively administer morphine as liquid formulation via the rectal route, a thorough understanding of the pharmacokinetics is warranted. The aims were: (1) to develop a population pharmacokinetic model of liquid rectal morphine and morphine-6-glucoronide (M6G), (2) to simulate clinically relevant rectal doses of morphine and (3) to assess the tolerability and safety. Material and methodsThis open label, dose escalation, four-sequence study was conducted in 10 healthy males. Three escalating doses of morphine hydrochloride (10mg, 15mg and 20mg) were administered 20cm from the anal verge. A 2mg morphine hydrochloride dose was administered intravenously as reference. Blood samples were drawn at baseline and at nine time points post dosing. Serum was obtained by centrifugation and assayed for contents of morphine and M6G with a validated high performance liquid chromatographic method. Modelling was performed using NONMEM 7.2 and the first order conditional estimation method with interaction. ResultsA two compartment distribution model with one absorption transit compartment for rectal administration and systemic clearance from the central compartment best described data. Systemic PK parameters were allometric scaled with body weight. The mean morphine absorption transit time was 0.6h, clearance 78L/h [relative standard error (RSE) 12%] and absolute bioavailability 24% (RSE 11%). To obtain clinically relevant serum concentrations, simulations revealed that a single morphine hydrochloride dose of 35mg will provide sufficient peak serum concentration levels and a 46mg dose four times daily is suggested to maintain clinically relevant steady-state concentrations. Body weight was suggested to be an important covariate for morphine exposure. No severe side effects were observed. ConclusionA population pharmacokinetic model of liquid rectal morphine and M6G was developed. The model can be used to simulate rectal doses to maintain analgesic activity in the clinic. The studied doses were safe and well tolerated.

Population pharmacokinetic/dynamic model of lymphosuppression after fludarabine administration.

Quantitative relationships between 9-β-D-arabinofuranosyl-2-fluoroadenine (F-ara-A) concentrations and lymphosuppression have not been reported, but would be useful for regimen design. A population pharmacokinetic/pharmacodynamic model was constructed in this study using data from 41 hematopoietic cell transplant (HCT) recipients conditioned with busulfan in combination with fludarabine (total dose 120 mg/m², Protocol 1519) or with fludarabine (total dose 250 mg/m²) with rabbit antithymocyte globulin (rATG, Protocol 2041). Individual pharmacokinetic parameters were fixed to post hoc Bayesian estimates, and circulating absolute lymphocyte counts (ALC) were obtained during the 3 weeks prior to graft infusion. A semi-physiological cell-kill model with three lymphocyte transit compartments was applied and aptly characterized the time course of suppression of circulating ALC by fludarabine administration. Drug- and system-specific parameters were estimated using a maximum likelihood expectation maximization algorithm, and the final model was qualified using an internal visual predictive check. The final model successfully characterized the time course and variability in ALC. Pharmacodynamic parameters exhibited considerable between subject variability (38.9-211 %). The HCT protocol was the only covariate associated with the pharmacodynamic parameters, specifically the lymphocyte kill rate, the transit rate between lymphocyte compartments, and the baseline ALC. This model can be used to simulate the degree of lymphosuppression for design of future fludarabine-based conditioning regimens.

Population pharmacokinetics of orally administered mefloquine in healthy volunteers and patients with uncomplicated Plasmodium falciparum malaria.

The determination of dosing regimens for the treatment of malaria is largely empirical and thus a better understanding of the pharmacokinetic/pharmacodynamic properties of antimalarial agents is required to assess the adequacy of current treatment regimens and identify sources of suboptimal dosing that could select for drug-resistant parasites. Mefloquine is a widely used antimalarial, commonly given in combination with artesunate. Mefloquine pharmacokinetics was assessed in 24 healthy adults and 43 patients with Plasmodium falciparum malaria administered mefloquine in combination with artesunate. Population pharmacokinetic modelling was conducted using NONMEM. A two-compartment model with a single transit compartment and first-order elimination from the central compartment most adequately described mefloquine concentration-time data. The model incorporated population parameter variability for clearance (CL/F), central volume of distribution (VC/F) and absorption rate constant (KA) and identified, in addition to body weight, malaria infection as a covariate for VC/F (but not CL/F). Monte Carlo simulations predict that falciparum malaria infection is associated with a shorter elimination half-life (407 versus 566 h) and T>MIC (766 versus 893 h). This is the first known population pharmacokinetic study to show falciparum malaria to influence mefloquine disposition. Protein binding, anaemia and other factors may contribute to differences between healthy individuals and patients. As VC/F is related to the earlier portion of the concentration-time profiles, which occurs during acute malaria, and CL/F is more related to the terminal phase during convalescence after treatment, this may explain why malaria was found to be a covariate for VC/F but not CL/F.

Mathematical model of platelet turnover in thrombocytopenic and nonthrombocytopenic preterm neonates.

Neonatal thrombocytopenia affects 22-35% of all neonates admitted to neonatal intensive care units. The purpose of this study was to develop a mathematical model for characterizing platelet (PLT) kinetics in thrombocytopenic preterm neonates. Immature PLT fraction (IPF) and PLT counts were measured for up to 35 days after birth in 27 very low birth weight preterm neonates. PLT transfusions were administered to 8 of the 27 (24%) subjects. The final model included a series of four transit compartments to mimic the production and survival of IPF and PLT. Model parameters were estimated using nonlinear mixed effects modeling with the maximum likelihood expectation maximization algorithm. The model adequately captured the diverse phenotypes expressed by individual subject profiles. Typical population survival values for IPF and PLT life spans in nonthrombocytopenic patients were estimated at 0.912 and 10.7 days, respectively. These values were significantly shorter in thrombocytopenic subjects, 0.429 and 2.56 days, respectively. The model was also used to evaluate the influence of growth and laboratory phlebotomy loss on the time course of IPF and PLT counts. Whereas incorporating body weight was essential to correct for expanding blood volume due to growth, phlebotomy loss, a possible covariate, did not significantly influence PLT kinetics. This study provides a platform for identifying potential covariates that influence the interindividual variability in model parameters regulating IPF and PLT kinetics and for evaluating future pharmacological therapies for treating thrombocytopenic neonates.

Population pharmacokinetic−pharmacodynamic modelling of mycophenolic acid in paediatric renal transplant recipients in the early post‐transplant period

The purpose of this study was to develop a population pharmacokinetic and pharmacodynamic (PK-PD) model for mycophenolic acid (MPA) in paediatric renal transplant recipients in the early post-transplant period. A total of 214 MPA plasma concentrations-time data points from 24 patients were available for PK model development. In 17 out of a total of 24 patients, inosine monophosphate dehydrogenase (IMPDH) enzyme activity measurements (n = 97) in peripheral blood mononuclear cells were available for PK-PD modelling. The PK-PD model was developed using non-linear mixed effects modelling sequentially by 1) developing a population PK model and 2) incorporating IMPDH activity into a PK-PD model using post hoc Bayesian PK parameter estimates. Covariate analysis included patient demographics, co-medication and clinical laboratory data. Non-parametric bootstrapping and prediction-corrected visual predictive checks were performed to evaluate the final models. A two compartment model with a transit compartment absorption best described MPA PK. A non-linear relationship between dose and MPA exposure was observed and was described by a power function in the model. The final population PK parameter estimates (and their 95% confidence intervals) were CL/F, 22 (14.8, 25.2) l h(-1) 70 kg(-1) ; Vc /F, 45.4 (29.6, 55.6) l; Vp /F, 411 (152.6, 1472.6)l; Q/F, 22.4 (16.0, 32.5) l h(-1) ; Ka , 2.5 (1.45, 4.93) h(-1) . Covariate analysis in the PK study identified body weight to be significantly correlated with CL/F. A simplified inhibitory Emax model adequately described the relationship between MPA concentration and IMPDH activity. The final population PK-PD parameter estimates (and their 95% confidence intervals) were: E0 , 3.45 (2.61, 4.56) nmol h(-1) mg(-1) protein and EC50 , 1.73 (1.16, 3.01) mg l(-1) . Emax was fixed to 0. There were two African-American patients in our study cohorts and both had low IMPDH baseline activities (E0 ) compared with Caucasian patients (mean value 2.13 mg l(-1) vs. 3.86 mg l(-1) ). An integrated population PK-PD model of MPA has been developed in paediatric renal transplant recipients. The current model provides information that will facilitate future studies and may be implemented in a Bayesian algorithm to allow a PK-PD guided therapeutic drug monitoring strategy.

GP3-6: Mixed effects PK/PD modelling of NNC0195-0092 - a noncovalent albumin binding growth hormone derivative in the hypophysectomised rat

Introduction: The hypophysectomised rat is used during preclinical development to evaluate the pharmacokinetic and pharmacodynamic (PKPD) properties of new GH analogues . The animal model resembles the human GH deficiency with lack of GH secretion, low levels of serum IGF-I and growth retardation . Non-linear mixed effects modelling of the PKPD relationship may improve the mechanistic understanding of action, and form the basis for translation of pre-clinical parameters into meaningful and accurate human predictions for early clinical development . A mechanistic mixed-effects PKPD model for NNC0195-0092 a non-covalent albumin binding growth hormone derivative has been developed in hypophysectomised Sprague Dawley rats . Methods: Animal studies with single and multiple dosing of NNC0195-0092 was used to establish the PKPD relationship between NNC0195-0092 and insulin-like growth factor I (IGF-I) Non-linear mixed effects modelling software (NONMEM) was used to model the simultaneous relationship between NNC01950092, IGF-I and bodyweight gain . Derived parameters was scaled directly from model values using the allometric approach with exponents fixed to conventional values . Results: A final PKPD model was established, that described the PK of NNC0195-0092 as a two compartmental model with both linear and non-linear elimination terms, transit compartment absorption . The induction of IGF-I was modelled using an indirect response model with stimulation of kin with an Emax relationship to rhGH dose . Direct scaling form the PKPD model provided good predictions of the human PKPD except for subcutaneous bioavailability were the approaches failed . Conclusion: A PKPD model of pre-clinical animal data was developed . The model provides a quantitative way of comparing results from testing of new GH analogues in the hypophysectomised rat model to current treatment . Furthermore, direct scaling of parameters matched or improved results obtained when using multispecies scaling to predict human parameters .

Quantitation of replication-competent HIV-1 in populations of resting CD4+ T cells.

Central memory (TCM) CD4(+) T cells are the principal reservoir of latent HIV-1 infection that persists despite durable, successful antiretroviral therapy (ART). In a study that measured HIV DNA in 17 patients and replication-competent HIV in 4 patients, pools of resting and activated transitional memory (T(TM)) CD4(+) T cells were found to be a reservoir for HIV infection. As defective viruses account for the majority of integrated HIV DNA and do not reflect the actual frequency of latent, replication-competent proviral infection, we assessed the specific contribution of resting T(TM) cells to latent HIV infection. We measured the frequency of replication-competent HIV in purified resting memory cell subpopulations by a limiting-dilution, quantitative viral outgrowth assay (QVOA). HIV was routinely detected within the resting central memory compartment but was infrequently detected within the resting T(TM) compartment. These observations suggest that prolonged ART may limit persistent latent infection in the T(TM) compartment. Our results confirm the importance of latent infection within the TCM compartment and again focus attention on these cells as the most important latent viral reservoir. While proliferation may drive expansion of detectable viral genomes in cells, the frequency of replication-competent HIV must be carefully assessed. Latent infection appears to wane within the transitional memory compartment in patients who have sustained successful viral suppression via ART or were treated very early in infection. Antiretroviral therapy (ART) has led to a significant decrease in morbidity and mortality among HIV-infected patients. However, HIV integrates into the genome of CD4(+) T cells, generating pools of long-lived cells that are reservoirs of latent HIV. Two main subsets of CD4(+) T cells, central memory and transitional memory cells, were reported to be major reservoirs of HIV infection. However, this study primarily measured the HIV DNA content, which also includes defective proviruses that would not be able to replicate and initiate new rounds of infection. By analyzing the replication-competent virus in both cell subsets, we showed that transitional memory cells may not be a durable reservoir in patients on successful ART.