Bioavailability of Single-Dose SUBA-Itraconazole Compared to Conventional Itraconazole under Fasted and Fed Conditions.

Conventional itraconazole (C-ITZ) suffers from absorption variability. SUBA-itraconazole (S-ITZ) is more bioavailable than C-ITZ at steady state in a fed condition, but there are no data comparing the two under a fasted state. An open-label, single-dose, randomized, bioequivalence study was performed comparing S-ITZ to C-ITZ capsules under fasted and fed conditions in healthy adults measuring itraconazole and hydroxyitraconazole plasma levels. This study demonstrated less variability of S-ITZ compared to C-ITZ capsules under fasted conditions.

Open-Label Crossover Oral Bioequivalence Pharmacokinetics Comparison for a 3-Day Loading Dose Regimen and 15-Day Steady-State Administration of SUBA-Itraconazole and Conventional Itraconazole Capsules in Healthy Adults.

Super bioavailability (SUBA) itraconazole (S-ITZ), which releases drug in the duodenum, and conventional itraconazole (C-ITZ), which releases drug in the stomach, were compared in two pharmacokinetic (PK) studies: a 3-day loading dose study and a 15-day steady-state administration study. These were crossover oral bioequivalence studies performed under fed conditions in healthy adult volunteers. In the loading dose study, C-ITZ (two doses of 100 mg each) and S-ITZ (two doses of 65 mg each) were administered three times daily for 3 days and once on day 4 (n = 15). For the steady-state administration study, C-ITZ (two doses of 100 mg each) and S-ITZ (two doses of 65 mg each) were administered twice daily for 14 days and a last dose was administered 30 min after a meal on day 15 (n = 16). Blood samples collected throughout both studies were analyzed for ITZ and hydroxy-ITZ (OH-ITZ) levels. Least-squares geometric means were used to compare the maximum peak concentration of drug after administration at steady state prior to administration of the subsequent dose (Cmax_ss), the minimum drug level after administration prior to the subsequent dose (Ctrough), and the area under the curve over the dosing interval (AUCtau) of each formulation. The ratios of itraconazole (ITZ) and OH-ITZ for S-ITZ to C-ITZ were between 107% and 118% in both studies for Cmax_ss, Ctrough, and AUCtau, which were within the U.S. FDA-required bioequivalence range of 80% to 125%. At the end of the steady-state administration study, 13 of 16 volunteers obtained higher mean ITZ blood Ctrough levels of >1,000 ng/ml when they were administered S-ITZ (81%) than when they were administered C-ITZ (44%). The study drugs were well tolerated in both studies, with similar adverse events (AEs). All treatment-emergent AEs resolved after study completion. One volunteer receiving C-ITZ discontinued due to a treatment-unrelated AE in the steady-state administration study. No serious AEs were reported. Total, trough, and peak ITZ and OH-ITZ exposures were similar between the two formulations. Therefore, SUBA-ITZ, which has 35% less drug than C-ITZ, was bioequivalent to C-ITZ in healthy adult volunteers and exhibited a safety profile similar to that of C-ITZ.

Effects of Food and Omeprazole on a Novel Formulation of Super Bioavailability Itraconazole in Healthy Subjects.

To address the limited bioavailability and intolerance of the conventional itraconazole (ITZ) formulations, a new formulation labeled super bioavailability (SUBA) itraconazole has been developed; however, the specific effects of food and gastric pH are unknown. This study evaluated the pharmacokinetic profile of SUBA itraconazole under fasting and fed conditions, as well as with the concomitant administration of a proton pump inhibitor. First, the effect of food was assessed in an open-label, randomized, crossover bioavailability study of 65-mg SUBA itraconazole capsules (2 65-mg capsules twice a day) in healthy adults (n = 20) under fasting and fed conditions to steady-state levels. Second, an open-label, two-treatment, fixed-sequence comparative bioavailability study in healthy adults (n = 28) under fasted conditions compared the pharmacokinetics of a single oral dose of SUBA itraconazole capsules (2 65-mg capsules/day) with and without coadministration of daily omeprazole delayed-release capsules (1 40-mg capsule/day) under steady-state conditions. In the fed and fasted states, SUBA itraconazole demonstrated similar concentrations at the end of the dosing interval, with modestly lower total and peak ITZ exposure being shown when it was administered under fed conditions than when it was administered in the fasted state, with fed state/fasted state ratios of 78.09% (90% confidence interval [CI], 74.49 to 81.86%) for the area under the concentration-time curve over the dosing interval (14,183.2 versus 18,479.8 ng · h/ml), 73.05% (90% CI, 69.01 to 77.33%) for the maximum concentration at steady state (1,519.1 versus 2,085.2 ng/ml), and 91.53% (90% CI, 86.41 to 96.96%) for the trough concentration (1,071.5 versus 1,218.5 ng/ml) being found. When dosed concomitantly with omeprazole, there was a 22% increase in the total plasma exposure of ITZ, as measured by the area under the concentration-time curve from time zero to infinity (P = 0.0069), and a 31% increase in the peak plasma exposure of ITZ, as measured by the maximum concentration (P = 0.0083).

Population in vitro-in vivo pharmacokinetic model of first-pass metabolism: itraconazole and hydroxy-itraconazole.

The aim of this study was to develop a population in vitro-in vivo pharmacokinetic model that simultaneously describe the absorption and accumulation kinetics of itraconazole (ICZ) and hydroxy-itraconazole (HICZ) in healthy subjects. The model integrated meta-models of gastrointestinal pH and gastrointestinal transit time and in vitro dissolution models of ICZ with the absorption and disposition kinetics of ICZ and HICZ. Mean concentration intravenous data, and single- and multi-dose oral data were used for model development. Model development was conducted in NONMEM in a stepwise manner. First, a model of intravenous data (systemic kinetics) was established and then extended to include the oral data. The latter was then extended to establish the in vitro-in vivo pharmacokinetic model. The systemic disposition of ICZ was best described by a 3-compartment model with oral absorption described by 4-transit compartments and HICZ distribution by a 1-compartment model. ICZ clearance was best described using a mixed inhibition model that allowed HICZ concentrations to inhibit the clearance of parent drug. HICZ clearance was described by Michaelis-Menten elimination kinetics. An in vitro-in vivo model was successfully established for both formulations. The presented model was able to describe ICZ and HICZ plasma concentrations over a wide range of oral and intravenous doses and allowed the exploration of complexities associated with the non-linear ICZ and HICZ kinetics. The model may provide insight into the variability in exposure of ICZ with respect to relating in vivo dissolution characteristics with in vivo disposition kinetics.

Population Pharmacokinetic Model of Doxycycline Plasma Concentrations Using Pooled Study Data.

The literature presently lacks a population pharmacokinetic analysis of doxycycline. This study aimed to develop a population pharmacokinetic model of doxycycline plasma concentrations that could be used to assess the power of bioequivalence between Doryx delayed-release tablets and Doryx MPC. Doxycycline pharmacokinetic data were available from eight phase 1 clinical trials following single/multiple doses of conventional-release doxycycline capsules, Doryx delayed-release tablets, and Doryx MPC under fed and fasted conditions. A population pharmacokinetic model was developed in a stepwise manner using NONMEM, version 7.3. The final covariate model was developed according to a forward inclusion (P < 0.01) and then backward deletion (P < 0.001) procedure. The final model was a two-compartment model with two-transit absorption compartments. Structural covariates in the base model included formulation effects on relative bioavailability (F), absorption lag (ALAG), and the transit absorption rate (KTR) under the fed status. An absorption delay (lag) for the fed status (FTLAG2 = 0.203 h) was also included in the model as a structural covariate. The fed status was observed to decrease F by 10.5%, and the effect of female sex was a 14.4% increase in clearance. The manuscript presents the first population pharmacokinetic model of doxycycline plasma concentrations following oral doxycycline administration. The model was used to assess the power of bioequivalence between Doryx delayed-release tablets and Doryx MPC, and it could potentially be used to critically examine and optimize doxycycline dose regimens.

Population In Vitro-In Vivo Correlation Model Linking Gastrointestinal Transit Time, pH, and Pharmacokinetics: Itraconazole as a Model Drug.

PURPOSE: To establish an in vitro-in vivo correlation (IVIVC) model for Sporanox and SUBA-itraconazole formulations and to understand the impact of gastrointestinal (GI) pH and transit times on itraconazole dissolution and absorption. METHODS: IVIVC was developed based on fed/fasted pharmacokinetic data from randomized cross-over trials, in vitro dissolution studies, and prior information about typical and between subject variability of GI pH and transit times. Data were analysed using the population modelling approach as implemented in NONMEM. RESULTS: Dissolution kinetics were described using first order models. The in vivo pharmacokinetics of itraconazole was described with a 2-compartment model with 4-transit absorption compartments. Pharmacokinetic profiles for fasted itraconazole periods were described based on the in vitro dissolution model, in vivo disposition model, and the prior information on GI pH and transit times. The IVIVC model indicated that drug dissolution in the fed state required an additional pH-independent dissolution pathway. The IVIVC models were presented in a 'Shiny' application. CONCLUSION: An IVIVC model was established and internally evaluated for the two itraconazole formulations. The IVIVC model provides more insight into the observed variability of itraconazole pharmacokinetics and indicated that GI pH and transit times influence in vivo dissolution and exposure.

Population pharmacokinetic modeling of itraconazole and hydroxyitraconazole for oral SUBA-itraconazole and sporanox capsule formulations in healthy subjects in fed and fasted states.

Itraconazole is an orally active antifungal agent that has complex and highly variable absorption kinetics that is highly affected by food. This study aimed to develop a population pharmacokinetic model for itraconazole and the active metabolite hydroxyitraconazole, in particular, quantifying the effects of food and formulation on oral absorption. Plasma pharmacokinetic data were collected from seven phase I crossover trials comparing the SUBA-itraconazole and Sporanox formulations of itraconazole. First, a model of single-dose itraconazole data was developed, which was then extended to the multidose data. Covariate effects on itraconazole were then examined before extending the model to describe hydroxyitraconazole. The final itraconazole model was a 2-compartment model with oral absorption described by 4-transit compartments. Multidose kinetics was described by total effective daily dose- and time-dependent changes in clearance and bioavailability. Hydroxyitraconazole was best described by a 1-compartment model with mixed first-order and Michaelis-Menten elimination for the single-dose data and a time-dependent clearance for the multidose data. The relative bioavailability of SUBA-itraconazole compared to that of Sporanox was 173% and was 21% less variable between subjects. Food resulted in a 27% reduction in bioavailability and 58% reduction in the transit absorption rate constant compared to that with the fasted state, irrespective of the formulation. This analysis presents the most extensive population pharmacokinetic model of itraconazole and hydroxyitraconazole in the literature performed in healthy subjects. The presented model can be used for simulating food effects on itraconazole exposure and for performing prestudy power analysis and sample size estimation, which are important aspects of clinical trial design of bioequivalence studies.

Ligand-dependent hedgehog signaling maintains an undifferentiated, malignant osteosarcoma phenotype.

TP53 and RB1 loss-of-function mutations are common in osteosarcoma. During development, combined loss of TP53 and RB1 function leads to downregulation of autophagy and the aberrant formation of primary cilia, cellular organelles essential for the transmission of canonical Hedgehog (Hh) signaling. Excess cilia formation then leads to hypersensitivity to Hedgehog (Hh) ligand signaling. In mouse and human models, we now show that osteosarcomas with mutations in TP53 and RB1 exhibit enhanced ligand-dependent Hh pathway activation through Smoothened (SMO), a transmembrane signaling molecule required for activation of the canonical Hh pathway. This dependence is mediated by hypersensitivity to Hh ligand and is accompanied by impaired autophagy and increased primary cilia formation and expression of Hh ligand in vivo. Using a conditional genetic mouse model of Trp53 and Rb1 inactivation in osteoblast progenitors, we further show that deletion of Smo converts the highly malignant osteosarcoma phenotype to benign, well differentiated bone tumors. Conversely, conditional overexpression of SHH ligand, or a gain-of-function SMO mutant in committed osteoblast progenitors during development blocks terminal bone differentiation. Finally, we demonstrate that the SMO antagonist sonidegib (LDE225) induces growth arrest and terminal differentiation in vivo in osteosarcomas that express primary cilia and Hh ligand combined with mutations in TP53. These results provide a mechanistic framework for aberrant Hh signaling in osteosarcoma based on defining mutations in the tumor suppressor, TP53.

5-aminoimidazole-4-carboxamide ribonucleoside and AMP-activated protein kinase inhibit signalling through NF-κB.

Activation of nuclear factor-kappa B (NF-κB) is one of the most important pro-inflammatory mechanisms in disease. In this study, we show that 5-aminoimidazole-4-carboxamide ribonucleoside (AICAR), an intermediate in nucleoside metabolism, inhibits signalling by NF-κB in three cell types, including bovine aortic endothelial cells (BAEC). The block in the NF-κB signalling pathway occurred beyond degradation of IκB-α and movement of p65 into the nucleus of BAEC. There was, however, reduced binding of NF-κB from AICAR-treated cells to a κB-consensus oligonucleotide, suggesting that part of the mechanism was a reduction in NF-κB DNA-binding activity. Although AICAR is metabolized to ZMP and then adenosine, adenosine had no effect on activation of an NF-κB reporter. ZMP, however, activates the metabolic stress-sensing AMP-activated protein kinase (AMPK). Transfection of active AMPK into BAEC reduced NF-κB reporter activity compared with a kinase-dead mutant, suggesting that part of the ability of AICAR to inhibit NF-κB signalling is due to activation of AMPK. Inhibition of NF-κB signalling may be important in the anti-inflammatory action of drugs such as sulfasalazine and methotrexate, which led to the accumulation of AICAR within target cells.

Corticosteroids worsen proteinuria and increase intraglomerular signaling by NF-ĸB in a model of membranous glomerulonephritis.

BACKGROUND/AIMS: Passive Heymann nephritis (PHN) is a model of human membranous glomerulonephritis characterized by heavy proteinuria. We have recently demonstrated activation of NF-κB by podocytes in this model. In this study, therefore, we have determined whether dexamethasone (DEX) and pyrrolidine dithiocarbamate (PDTC), therapies that inhibit NF-κB, influence proteinuria. METHODS: Twenty-one days after induction of PHN, rats were divided into three groups: group 1 received saline, group 2 received DEX for 7 days, and group 3 received PDTC for 7 days. The effects of these drugs on activation of NF-κB and proteinuria were then determined. RESULTS: DEX administration was associated with a very significant increase in proteinuria, whereas PDTC produced a slight decrease. Within the glomerulus, both agents were associated with increased levels of IL-1ß mRNA and protein, compared with untreated rats, and there was increased nuclear localization of p50 in both of the treated groups. Neither agent, therefore, inhibited NF-κB activation within the glomerulus. Both agents produced a decrease in the systemic anti-sheep Ig immune response, and there was reduced interstitial αß T-cell infiltration compared with controls. CONCLUSION: These data suggest that agents predicted to inhibit NF-κB might have opposing effects in membranous glomerulonephritis. The use of steroids to treat membranous glomerulonephritis, therefore, might produce unpredictable results, depending on whether suppression of the systemic immune response or inflammatory events within the kidney is more important in a particular patient.

Mechanistic Assessment of the Effect of Omeprazole on the In Vivo Pharmacokinetics of Itraconazole in Healthy Volunteers.

BACKGROUND AND OBJECTIVE: SUBA-itraconazole and Sporanox are two oral formulations of itraconazole. Drug-drug interactions with omeprazole have been previously reported; however, mechanistic understanding of the pharmacological and physiological interactions of omeprazole with orally administered itraconazole within a population modeling paradigm is lacking. The objective of this analysis was to mechanistically describe and quantify the effect of omeprazole on the pharmacokinetics of itraconazole and its major metabolite, hydroxyitraconazole from the SUBA itraconazole and Sporanox formulations. METHODS: An in vitro-in vivo (IVIV) pharmacokinetic model of itraconazole and hydroxyitraconazole was developed including data from an omeprazole interaction study with SUBA itraconazole. Meta-models of gastric pH for healthy subjects and subjects receiving omeprazole were integrated into the IVIV model to capture omeprazole-mediated gastric pH changes on itraconazole dissolution and absorption. RESULTS: Omeprazole influenced the kinetics of itraconazole through altering the dissolution and absorption due to the pH-dependent solubility of itraconazole, inhibition of efflux transporters, and inhibiting the metabolism of itraconazole and hydroxyitraconazole. The model-predicted population effects of omeprazole on itraconazole from SUBA-itraconazole were to increase the area under the concentration-time curve (AUC0-24) and maximum concentration (Cmax) by 35 and 31%, respectively, and to decrease AUC0-24 and Cmax from Sporanox by 68 and 76%, respectively. CONCLUSION: Unlike SUBA itraconazole, which requires basic pH for itraconazole release, the omeprazole-induced pH-mediated reduction in Sporanox dissolution overrides any increased exposure from the drug-drug interaction at hepatic metabolizing enzymes or efflux transporters. The model presented here is the most complete quantitative description of the pharmacokinetics of itraconazole and hydroxyitraconazole currently available.