Pharmacokinetics, safety, and tolerability of maraviroc in HIV-negative subjects with impaired renal function.

PURPOSE: This open-label, nonrandomized, parallel-group study was conducted to explore the pharmacokinetics, safety, and tolerability of maraviroc in renally impaired subjects. METHODS: Subjects with normal renal function; mild, moderate, or severe renal impairment; or end-stage renal disease (ESRD) (n = 6 per group) were enrolled. Subjects with normal function (period 1), severe impairment, and ESRD received a single 300 mg dose of maraviroc. Subjects with normal function (period 2), mild impairment, and moderate impairment received 150 mg for 7 days at adjusted intervals of twice daily, once daily, and every 48 hours, respectively, with saquinavir/ritonavir (SQV/r). Maraviroc was quantified in plasma, urine, and dialysate by tandem high-performance liquid chromatography-mass spectrometry. RESULTS: With SQV/r, geometric mean steady-state maraviroc area under the plasma concentration-time curve for the dosing interval (AUCtau) was 5,341 (coefficient of variation [CV], 27%), 8,119 (35%), and 6,193 (27%) h•ng/mL, in normal function, mild, and moderate impairment groups, respectively. Without SQV/r, 2% to 3% of the maraviroc dose was recovered in urine versus 15% to 25% of steady-state dose when given with SQV/r. Moderate to high intersubject variability in exposure was noted. AUC from zero to infinity (AUCinf) was similar to historical single-dose data in subjects with ESRD: low in those with normal function, and high in those with severe impairment. Dialysis did not influence maraviroc exposure. Maraviroc was well tolerated. CONCLUSIONS: The data suggest that no dosing interval adjustments are required in subjects with renal impairment when maraviroc is administered alone. However, maraviroc dosing interval adjustment is warranted in renally impaired patients receiving potent CYP3A4 inhibitors. Reference to local prescribing information is recommended, because dose recommendations in renally impaired patients may differ between regions.

Baseline CD4+ T-cell counts predict HBV viral kinetics to adefovir treatment in lamivudine-resistant HBV-infected patients with or without HIV infection.

BACKGROUND: Coinfection with HIV and hepatitis B virus (HBV) substantially alters the course of HBV. Directly acting anti-HBV agents suppress HBV viral levels; however, the kinetics of HBV decline in mono- and coinfected persons have not been evaluated. We investigated the role of baseline CD4+ T-cell counts as a predictor of HBV response to adefovir (ADV) therapy in chronic HBV with and without HIV coinfection. METHODS: We conducted a double-blind, randomized, placebo-controlled study of HIV-infected (n = 12) and uninfected (n = 5) chronic HBV patients treated with ADV. Five HIV uninfected patients received ADV; the HIV+ patients received ADV or placebo for a total of 48 weeks. At the end of 48 weeks, all patients received open-label ADV for an additional 48 weeks. HBV, HIV viral loads, CD4+ T-cell counts, and safety labs were performed on days 0, 1, 3, 5, 7, 10, 14, and 28 and then every 4 weeks. RESULTS: Lower HBV slopes were observed among coinfected compared to monoinfected patients (P = .027 at 4 weeks, P = .019 at 24 weeks, and P = .045 at 48 weeks). Using a mixed model analysis, we found a significant difference between the slopes of the 2 groups at 48 weeks (P = .045). Baseline CD4+ T-cell count was the only independent predictor of HBV decline in all patients. CONCLUSION: HIV coinfection is associated with slower HBV response to ADV. Baseline CD4+ T-cell count and not IL28B genotype is an independent predictor of HBV decline in all patients, emphasizing the role of immune status on clearance of HBV.

The use of the SAEM algorithm in MONOLIX software for estimation of population pharmacokinetic-pharmacodynamic-viral dynamics parameters of maraviroc in asymptomatic HIV subjects.

Using simulated viral load data for a given maraviroc monotherapy study design, the feasibility of different algorithms to perform parameter estimation for a pharmacokinetic-pharmacodynamic-viral dynamics (PKPD-VD) model was assessed. The assessed algorithms are the first-order conditional estimation method with interaction (FOCEI) implemented in NONMEM VI and the SAEM algorithm implemented in MONOLIX version 2.4. Simulated data were also used to test if an effect compartment and/or a lag time could be distinguished to describe an observed delay in onset of viral inhibition using SAEM. The preferred model was then used to describe the observed maraviroc monotherapy plasma concentration and viral load data using SAEM. In this last step, three modelling approaches were compared; (i) sequential PKPD-VD with fixed individual Empirical Bayesian Estimates (EBE) for PK, (ii) sequential PKPD-VD with fixed population PK parameters and including concentrations, and (iii) simultaneous PKPD-VD. Using FOCEI, many convergence problems (56%) were experienced with fitting the sequential PKPD-VD model to the simulated data. For the sequential modelling approach, SAEM (with default settings) took less time to generate population and individual estimates including diagnostics than with FOCEI without diagnostics. For the given maraviroc monotherapy sampling design, it was difficult to separate the viral dynamics system delay from a pharmacokinetic distributional delay or delay due to receptor binding and subsequent cellular signalling. The preferred model included a viral load lag time without inter-individual variability. Parameter estimates from the SAEM analysis of observed data were comparable among the three modelling approaches. For the sequential methods, computation time is approximately 25% less when fixing individual EBE of PK parameters with omission of the concentration data compared with fixed population PK parameters and retention of concentration data in the PD-VD estimation step. Computation times were similar for the sequential method with fixed population PK parameters and the simultaneous PKPD-VD modelling approach. The current analysis demonstrated that the SAEM algorithm in MONOLIX is useful for fitting complex mechanistic models requiring multiple differential equations. The SAEM algorithm allowed simultaneous estimation of PKPD and viral dynamics parameters, as well as investigation of different model sub-components during the model building process. This was not possible with the FOCEI method (NONMEM version VI or below). SAEM provides a more feasible alternative to FOCEI when facing lengthy computation times and convergence problems with complex models.

Maraviroc modelling strategy: use of early phase 1 data to support a semi-mechanistic population pharmacokinetic model.

AIMS: To model the basic pharmacokinetic (PK) characteristics of maraviroc to construct an integrated semi-mechanistic PK model for use in later population PK analyses. METHODS: Three analyses were performed utilizing intravenous, oral and radiolabel data. Firstly, a PK disposition model was developed from data from 20 healthy males who received 3, 10 or 30 mg of intravenous maraviroc. Secondly, a sigmoid E(max)vs dose model of dose-normalized non-compartmental AUC from oral dosing in 134 healthy young males and females across five phase 1 studies was constructed. This described absorption dose non-linearities and tested for the influence of food, formulation and dose frequency on model parameters. The third analysis developed a mass balance model for both absorption and disposition of maraviroc with 300 mg solution and predicted the mass balance after administration of 100 mg tablet formulation. RESULTS: A four-compartment PK model best described the intravenous data and no influence of dose was found on clearance. Total clearance was 48 l h(-1) (2.2% SE). The main covariate effect in the non-compartmental analysis reproduced the dose-dependency of food through a five-fold increase in the ED(50) of the sigmoid E(max) model. The mass balance models calculated that 33.3% and 22.9% of 300 mg solution and 100 mg tablet doses, respectively, are systemically available, and first-pass metabolism extracts 62% of an absorbed dose, estimating a hepatic blood flow of 101 l h(-1). CONCLUSIONS: The analysis demonstrates a novel integration approach to build a maraviroc semi-mechanistic population PK model for further use in volunteers and patients.

A population pharmacokinetic meta-analysis of maraviroc in healthy volunteers and asymptomatic HIV-infected subjects.

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 E(max) 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, V(c) and V(p) 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.

Population Pharmacokinetics of Fosdagrocorat (PF-04171327), a Dissociated Glucocorticoid Receptor Agonist, in Patients With Rheumatoid Arthritis.

Dissociated agonists of the glucocorticoid receptor (DAGRs) show similar antiinflammatory effects but improved tolerability compared with standard glucocorticoid receptor (GR) agonists. The prodrug fosdagrocorat (PF-04171327), with active DAGR metabolite PF-00251802 (Metabolite-1), is postulated to show superior efficacy over placebo and prednisone in patients with moderate to severe rheumatoid arthritis (RA). We investigated the population pharmacokinetics of active Metabolite-1 and its active metabolite PF-04015475 (Metabolite-2) in patients with moderate to severe RA enrolled in a 12-week, phase II, randomized, double-blind study (NCT01393639). A simultaneous fit of a two-compartment model for Metabolite-1 and a one-compartment model for Metabolite-2 provided an adequate fit to the data. Significant covariates included weight, with an additional female effect on clearance of Metabolite-1 (∼26%) and Metabolite-2 (∼33%) compared with males. Age influenced clearance of Metabolite-1. In combination, age, weight, and sex predicted >twofold differences in area under the concentration-time curve of Metabolite-1 at the extremes.