A population pharmacokinetic model using allometric scaling for baricitinib in patients with juvenile idiopathic arthritis

Baricitinib is approved for the treatment of rheumatoid arthritis (RA) in more than 70 countries, and juvenile idiopathic arthritis (JIA) in the European Union. Population pharmacokinetic (PK) models were developed in a phase 3 trial to characterize PK in pediatric patients with JIA and identify weight-based dosing regimens. The phase 3, randomized, double-blind, placebo-controlled withdrawal, efficacy and safety trial, JUVE-BASIS, enrolled patients (aged 2 to <18 years) with polyarticular course JIA. During a safety/PK period, baricitinib concentration data from age-based dose cohorts were compared to concentrations from adult patients receiving 4-mg QD. PK data were used to develop a population PK model with allometric scaling to determine a weight-based posology in pediatric patients with JIA that matched the adult 4-mg exposure. Baricitinib plasma concentrations from 217 pediatric patients were used to characterize PK. Based on the adult model, pediatric PK was best described using a 2-compartment model with allometric scaling on clearance and volume of distribution and renal function (estimated with glomerular filtration rate [GFR], a known covariate affecting PK of baricitinib) on clearance. The PK modeling suggested the optimal dosing regimen based on weight for pediatric patients as: 2-mg QD for patients 10 to <30 kg and 4-mg QD for patients ≥30 kg. The use of a population PK model of baricitinib treatment in adult patients with RA, with the addition of allometric scaling for weight on clearance and volume terms, was useful to predict exposures and identify weight-based dosing in pediatric patients with JIA.

Donanemab exposure and efficacy relationship using modeling in Alzheimer's disease

INTRODUCTION

Donanemab is an amyloid-targeting therapy that specifically targets brain amyloid plaques. The objective of these analyses was to characterize the relationship of donanemab exposure with plasma biomarkers and clinical efficacy through modeling.

METHODS

Data for the analyses were from participants with Alzheimer's disease from the phase 1 and TRAILBLAZER-ALZ studies. Indirect-response models were used to fit plasma phosphorylated tau 217 (p-tau217) and plasma glial fibrillated acidic protein (GFAP) data over time. Disease-progression models were developed using pharmacokinetic/pharmacodynamic modeling.

RESULTS

The plasma p-tau217 and plasma GFAP models adequately predicted the change over time, with donanemab resulting in decreased plasma p-tau217 and plasma GFAP concentrations. The disease-progression models confirmed that donanemab significantly reduced the rate of clinical decline. Simulations revealed that donanemab slowed disease progression irrespective of baseline tau positron emission tomography (PET) level within the evaluated population.

DISCUSSION

The disease-progression models show a clear treatment effect of donanemab on clinical efficacy regardless of baseline disease severity.

Donanemab Population Pharmacokinetics, Amyloid Plaque Reduction, and Safety in Participants with Alzheimer's Disease

Donanemab is an amyloid-targeting therapy that resulted in robust amyloid plaque reduction and slowed Alzheimer's disease (AD) progression compared with placebo in the phase II TRAILBLAZER-ALZ study (NCT03367403). The objectives of the current analyses are to characterize (i) the population pharmacokinetics of donanemab, (ii) the relationship between donanemab exposure and amyloid plaque reduction (response), and (iii) the relationship between donanemab exposure and amyloid-related imaging abnormalities with edema or effusions (ARIA-E). Model development included data from participants with mild cognitive impairment or mild to moderate dementia due to AD from the phase Ib study on donanemab (NCT02624778) and participants with early symptomatic AD from the TRAILBLAZER-ALZ study. The analysis showed donanemab has a terminal elimination half-life of 11.8 days. Body weight and antidrug antibody titer impact donanemab exposure but not the pharmacodynamic response. Maintaining a donanemab serum concentration above 4.43 μg/mL (95% confidence interval: 0.956, 10.4) is associated with amyloid plaque reduction. The time to achieve amyloid plaque clearance (amyloid plaque level < 24.1 Centiloids) varied depending on the baseline amyloid level, where higher baseline levels were associated with fewer participants achieving amyloid clearance. The majority of participants achieved amyloid clearance by 52 weeks on treatment. Apolipoprotein ε4 carriers, irrespective of donanemab serum exposure, were 4 times more likely than noncarriers to have an ARIA-E event by 24 weeks.

PK/PD modeling links accelerated resolution of COVID‐19‐related clinical symptoms to SARS‐CoV‐2 viral load reduction in patients following treatment with Bamlanivimab alone or Bamlanivimab and Etesevimab together

The relationship between severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2) viral load reduction and disease symptom resolution remains largely undefined for coronavirus disease 2019 (COVID‐19). While the vaccine‐derived immunity takes time to develop, neutralizing monoclonal antibodies offer immediate, passive immunity to patients with COVID‐19. Bamlanivimab and etesevimab are two potent neutralizing monoclonal antibodies directed to the receptor binding domain of the spike protein of SARS‐CoV‐2. This study aims to describe the relationship between viral load and resolution of eight common COVID‐19‐related symptoms in patients following treatment with neutralizing monoclonal antibodies (bamlanivimab alone or bamlanivimab and etesevimab together), in a phase II clinical trial. Corresponding pharmacokinetics (PKs), viral load, and COVID‐19‐related symptom data were modeled using Nonlinear Mixed Effects Modeling to describe the time‐course of eight COVID‐19‐related symptoms in an ordered categorical manner (none, mild, moderate, and severe), following administration of bamlanivimab or bamlanivimab and etesevimab together to participants with COVID‐19. The PK/pharmacodynamic (PD) models characterized the exposure‐viral load‐symptom time course of the eight preselected COVID‐19‐related symptoms. Baseline viral load (BVL), change in viral load from baseline, and time since the onset of symptoms, demonstrated statistically significant effects on symptom score probabilities. Higher BVL generally indicated an increased probability of symptom severity. The severity of symptoms decreased over time, partially driven by the decrease in viral load. The effect of increasing time resulting in decreased severity of symptoms was over and above the effect of decreasing viral load. Administration of bamlanivimab alone or together with etesevimab results in a faster time to resolution of COVID‐19‐related symptoms compared to placebo.

Optimal clinical trial design based on a dichotomous Markov-chain mixed-effect sleep model

D-optimal designs for discrete-type responses have been derived using generalized linear mixed models, simulation based methods and analytical approximations for computing the fisher information matrix (FIM) of non-linear mixed effect models with homogeneous probabilities over time. In this work, D-optimal designs using an analytical approximation of the FIM for a dichotomous, non-homogeneous, Markov-chain phase advanced sleep non-linear mixed effect model was investigated. The non-linear mixed effect model consisted of transition probabilities of dichotomous sleep data estimated as logistic functions using piecewise linear functions. Theoretical linear and nonlinear dose effects were added to the transition probabilities to modify the probability of being in either sleep stage. D-optimal designs were computed by determining an analytical approximation the FIM for each Markov component (one where the previous state was awake and another where the previous state was asleep). Each Markov component FIM was weighted either equally or by the average probability of response being awake or asleep over the night and summed to derive the total FIM (FIM(total)). The reference designs were placebo, 0.1, 1-, 6-, 10- and 20-mg dosing for a 2- to 6-way crossover study in six dosing groups. Optimized design variables were dose and number of subjects in each dose group. The designs were validated using stochastic simulation/re-estimation (SSE). Contrary to expectations, the predicted parameter uncertainty obtained via FIM(total) was larger than the uncertainty in parameter estimates computed by SSE. Nevertheless, the D-optimal designs decreased the uncertainty of parameter estimates relative to the reference designs. Additionally, the improvement for the D-optimal designs were more pronounced using SSE than predicted via FIM(total). Through the use of an approximate analytic solution and weighting schemes, the FIM(total) for a non-homogeneous, dichotomous Markov-chain phase advanced sleep model was computed and provided more efficient trial designs and increased nonlinear mixed-effects modeling parameter precision.

Methodological comparison of in vitro binding parameter estimation: sequential vs. simultaneous non-linear regression

PURPOSE

Analysis of simulated data was compared using sequential (NLR) and simultaneous non-linear regression (SNLR) to evaluate precision and accuracy of ligand binding parameter estimation.

METHODS

Commonly encountered experimental error, specifically residual error of binding measurements (RE), experiment-to-experiment variability (BEV) and non-specific binding (B(NS)), were examined for impact of parameter estimation using both methods. Data from equilibrium, dissociation, association and non-specific binding experiments were fit simultaneously (SNLR) using NONMEM VI compared to the common practice of analyzing data from each experiment separately and assigning these as exact values (NLR) for estimation of the subsequent parameters.

RESULTS

The greatest contributing factor to bias and variability in parameter estimation was RE of the measured concentrations of ligand bound; however, SNLR provided more accurate and less bias estimates. Subtraction of B(NS) from total ligand binding data provided poor estimation of specific ligand binding parameters using both NLR and SNLR. Additional methods examined demonstrated that the use of SNLR provided better estimation of specific binding parameters, whereas there was considerable bias using NLR. NLR cannot account for BEV, whereas SNLR can provide approximate estimates of BEV.

CONCLUSION

SNLR provided superior resolution of parameter estimation in both precision and accuracy compared to NLR.

Inhibition of platelet aggregation with prasugrel and clopidogrel: an integrated analysis in 846 subjects

This integrated analysis compared speed of onset, level of platelet inhibition, and response variability to prasugrel and clopidogrel in healthy subjects and in patients with stable coronary artery disease with data pooled from 24 clinical pharmacology studies. Data from subjects (N = 846) were categorized into the following treatment groups: prasugrel 60 mg loading dose (LD)/10 mg maintenance dose (MD), clopidogrel 300 mg LD/75 mg MD, or clopidogrel 600 mg LD/75 mg MDs. Maximum platelet aggregation (MPA) and inhibition of platelet aggregation (IPA) to 5 and 20 muM ADP were assessed by turbidimetric aggregometry. A linear mixed-effect model compared the MPA and IPA between treatments over time points evaluated in the integrated database, and covariates affecting platelet inhibition were identified. Prasugrel 60 mg LD resulted in faster onset, greater magnitude, and more consistent levels of inhibition of platelet function compared to either clopidogrel 300 mg or 600 mg LDs. Greater and more consistent levels of platelet inhibition were observed with the prasugrel 10 mg MD compared to the clopidogrel 75 mg MD. This integrated analysis confirms the findings of earlier individual studies, that prasugrel achieves faster onset of greater extent and more consistent platelet inhibition compared to the approved and higher loading doses of clopidogrel. Gender, race, body weight, and age were identified as statistically significant covariates impacting platelet inhibition.

Effect of age on the pharmacokinetics and pharmacodynamics of prasugrel during multiple dosing: an open-label, single-sequence, clinical trial

BACKGROUND

A substantial portion of patients at risk for acute coronary syndrome (ACS) are >65 years old. Prasugrel is a novel antiplatelet agent approved for the treatment of ACS patients undergoing percutaneous coronary intervention, and will be used in this population.

OBJECTIVE

This study assessed the effect of age >or=65 years on the pharmacokinetics (PK) and pharmacodynamics (PD) of the active metabolite (R-138727) of prasugrel in healthy subjects taking aspirin (acetylsalicylic acid).

METHODS

This was an open-label, single-sequence trial conducted in a single clinical research centre in the UK. A total of 17 subjects aged 65-80 years and 15 subjects aged 20-39 years received a prasugrel 5-mg once-daily maintenance dose for 10 days followed by 10-mg once daily maintenance doses for 10 days. All subjects also received aspirin 75 mg daily. Serial blood samples were collected pre-dose and at various times post-dose for measurement of the active metabolite of prasugrel in plasma on days 10 and 20, following the last 5- and 10-mg prasugrel dose, respectively. PK parameters of the active metabolite of prasugrel included area under the plasma concentration-time curve (AUC) from time zero to the time of the last quantifiable concentration (AUC(last)), maximum plasma concentration (C(max)) and time to C(max) (t(max)). Maximal platelet aggregation (MPA), assessed by light transmission aggregometry using adenosine diphosphate (ADP) 20 micromol/L, was assessed at baseline and on day 10 (5-mg maintenance dose) and day 20 (10-mg maintenance dose). Bleeding times (BTs) were determined on days -5, 1, 10, 11, 20 and 21 using a modified Ivy technique.

RESULTS

AUC(last) did not differ significantly between age groups. The steady-state trough MPA to ADP 20 micromol/L during 10-mg maintenance dosing was 30.6% and 26.6% in elderly and young subjects, respectively. Mean MPA was consistently higher in elderly subjects compared with young subjects; however, differences were generally less than ten percentage points. BTs did not differ between the two populations during 5-mg maintenance dosing; however, during 10-mg maintenance dosing, BTs were up to 67% longer in young compared with elderly subjects. A higher frequency of minor bleeding during 10-mg maintenance dosing was observed in elderly subjects compared with young subjects.

CONCLUSIONS

These data indicate that prasugrel PK and MPA were similar in healthy subjects regardless of age. Compared with younger subjects, elderly subjects had shorter BTs but a greater frequency of mild bleeding-related adverse events.

Effect of atorvastatin on the pharmacokinetics and pharmacodynamics of prasugrel and clopidogrel in healthy subjects

STUDY OBJECTIVE

To investigate the potential effect of atorvastatin 80 mg/day on the pharmacokinetics and pharmacodynamics of the thienopyridines prasugrel and clopidogrel.

DESIGN

Open-label, randomized, crossover, two-arm, parallel-group study.

SETTING

Single clinical research center in the United Kingdom.

PARTICIPANTS

Sixty-nine healthy men aged 18-60 years. Intervention. Subjects received either a loading dose of prasugrel 60 mg followed by a maintenance dose of 10 mg/day or a loading dose of clopidogrel 300 mg followed by 75 mg/day. The drug was given as monotherapy for 10 days, and after a 6-day run-in period with atorvastatin 80 mg/day, the same dosage of atorvastatin was continued with the respective thienopyridine for 10 days. A 14-day washout period separated the treatment regimens.

MEASUREMENTS AND MAIN RESULTS

Blood samples were collected before and at various time points after dosing on days 1 and 11 for determination of plasma concentrations of metabolites and for measurement of platelet aggregation induced by adenosine 5'-diphosphate 20 microM and vasodilator-stimulated phosphoprotein (VASP). Coadministration of atorvastatin did not alter exposure to active metabolites of prasugrel or clopidogrel after the loading dose and thus did not alter inhibition of platelet aggregation (IPA). During maintenance dosing, atorvastatin administration resulted in 17% and 28% increases in the area under the plasma concentration-time curve (AUC) values of prasugrel's and clopidogrel's active metabolites, respectively. These small changes in AUC did not result in a significant change in IPA response to prasugrel but did result in a significant increase in IPA during clopidogrel maintenance dosing at some, but not all, of the time points on day 11. Coadministration of atorvastatin with either prasugrel or clopidogrel had no effect on VASP phosphorylation relative to the thienopyridine alone after the loading dose.

CONCLUSION

Coadministration of atorvastatin 80 mg/day with prasugrel or clopidogrel did not negatively affect the antiplatelet response to either drug after a loading dose or during maintenance dosing. The lack of a clinically meaningful effect of high-dose atorvastatin on the pharmacodynamic response to prasugrel after the loading or maintenance dose indicates that no dosage adjustment should be necessary in patients receiving these drugs concomitantly.

Effect of ranitidine on the pharmacokinetics and pharmacodynamics of prasugrel and clopidogrel

OBJECTIVE

Clopidogrel is an oral thienopyridine antiplatelet agent indicated for the treatment of atherothrombotic events in patients with acute coronary syndrome (ACS). Prasugrel, a novel oral thienopyridine, is under investigation for the reduction of atherothrombotic events in patients with ACS undergoing percutaneous coronary intervention. Prasugrel's solubility decreases with increasing pH, suggesting that concomitantly-administered medications that increase gastric pH may lower the rate and/or extent of prasugrel absorption. This study evaluated the influence of ranitidine coadministration on the pharmacokinetics and pharmacodynamics of the respective active metabolite of prasugrel and clopidogrel.

RESEARCH DESIGN AND METHODS

In this open-label, two-period, two-treatment, crossover study, 47 healthy male subjects were randomized to one of two study arms, receiving either prasugrel (60-mg loading dose [LD], 10-mg maintenance dose [MD] for 7 days; n = 23) or clopidogrel (600-mg LD, 75-mg MD for 7 days; n = 24). In one treatment period, subjects received prasugrel or clopidogrel alone, and in the alternate period received the same thienopyridine with ranitidine (150 mg twice daily, starting 1 day before the LD). Pharmacokinetic parameter estimates (AUC(0-t last), C(max), and t(max)) and inhibition of platelet aggregation (IPA) by light transmission aggregometry were assessed at multiple time points after the LD and final MD.

RESULTS

Ranitidine had no clinically significant effect on the area under the plasma-concentration-time curve (AUC) and did not affect the time to C(max) (t(max)) for active metabolites of either prasugrel or clopidogrel. It reduced the geometric mean maximum concentrations of active metabolite (C(max)) after a prasugrel and clopidogrel LD by 14% and 10%, respectively, but these differences were not statistically significant. When coadministered with a 60-mg prasugrel LD, ranitidine did not affect the time to, or magnitude of, peak IPA, but did result in a modest reduction at 0.5 h from 67.4 to 55.1% (p < 0.001). Ranitidine did not affect prasugrel IPA during MD. For clopidogrel, IPA was not affected by ranitidine. Prasugrel and clopidogrel were both well-tolerated, with/without ranitidine.

CONCLUSIONS

Results from this study suggest that there is no significant drug-drug interaction between oral ranitidine therapy and concomitantly-administered prasugrel or clopidogrel.

Prasugrel, a new thienopyridine antiplatelet drug, weakly inhibits cytochrome P450 2B6 in humans

Prasugrel, a thienopyridine prodrug, is hydrolyzed in vivo by esterases to a thiolactone followed by a single cytochrome P450 (CYP)-dependent step to an active metabolite that is a potent inhibitor of adenosine diphosphate-induced platelet aggregation. This open-label, multiple-dose, 2-period, fixed-sequence study assessed CYP2B6 inhibition by prasugrel using bupropion as a probe substrate, where its active metabolite, hydroxybupropion, is almost exclusively formed by CYP2B6. Thirty healthy subjects received a single 150-mg oral dose of sustained-release bupropion. After a 7-day washout, a 60-mg prasugrel loading dose, followed by a 10-mg daily maintenance dose for 10 days, was administered. Bupropion (150 mg) was given with prasugrel on day 7 of this phase. Prasugrel weakly inhibited CYP2B6 activity as it increased bupropion Cmax and AUC0-infinity by 14% and 18%, respectively, and decreased hydroxybupropion Cmax and AUC0-infinity by 32% and 23%. These results are consistent with patients receiving prasugrel not requiring dose adjustments when treated with drugs primarily metabolized by CYP2B6.

Common polymorphisms of CYP2C19 and CYP2C9 affect the pharmacokinetic and pharmacodynamic response to clopidogrel but not prasugrel

BACKGROUND

Thienopyridines are metabolized to active metabolites that irreversibly inhibit the platelet P2Y(12) adenosine diphosphate receptor. The pharmacodynamic response to clopidogrel is more variable than the response to prasugrel, but the reasons for variation in response to clopidogrel are not well characterized.

OBJECTIVE

To determine the relationship between genetic variation in cytochrome P450 (CYP) isoenzymes and the pharmacokinetic/pharmacodynamic response to prasugrel and clopidogrel.

METHODS

Genotyping was performed for CYP1A2, CYP2B6, CYP2C19, CYP2C9, CYP3A4 and CYP3A5 on samples from healthy subjects participating in studies evaluating pharmacokinetic and pharmacodynamic responses to prasugrel (60 mg, n = 71) or clopidogrel (300 mg, n = 74).

RESULTS

In subjects receiving clopidogrel, the presence of the CYP2C19*2 loss of function variant was significantly associated with lower exposure to clopidogrel active metabolite, as measured by the area under the concentration curve (AUC(0-24); P = 0.004) and maximal plasma concentration (C(max); P = 0.020), lower inhibition of platelet aggregation at 4 h (P = 0.003) and poor-responder status (P = 0.030). Similarly, CYP2C9 loss of function variants were significantly associated with lower AUC(0-24) (P = 0.043), lower C(max) (P = 0.006), lower IPA (P = 0.046) and poor-responder status (P = 0.024). For prasugrel, there was no relationship observed between CYP2C19 or CYP2C9 loss of function genotypes and exposure to the active metabolite of prasugrel or pharmacodynamic response.

CONCLUSIONS

The common loss of function polymorphisms of CYP2C19 and CYP2C9 are associated with decreased exposure to the active metabolite of clopidogrel but not prasugrel. Decreased exposure to its active metabolite is associated with a diminished pharmacodynamic response to clopidogrel.

Cytochrome P450 3A inhibition by ketoconazole affects prasugrel and clopidogrel pharmacokinetics and pharmacodynamics differently

Prasugrel and clopidogrel inhibit platelet aggregation through active metabolite formation. Prasugrel's active metabolite (R-138727) is formed primarily by cytochrome P450 (CYP) 3A and CYP2B6, with roles for CYP2C9 and CYP2C19. Clopidogrel's activation involves two sequential steps by CYP3A, CYP1A2, CYP2C9, CYP2C19, and/or CYP2B6. In a randomized crossover study, healthy subjects received a loading dose (LD) of prasugrel (60 mg) or clopidogrel (300 mg), followed by five daily maintenance doses (MDs) (15 and 75 mg, respectively) with or without the potent CYP3A inhibitor ketoconazole (400 mg/day). Subjects had a 2-week washout between periods. Ketoconazole decreased R-138727 and clopidogrel active metabolite Cmax (maximum plasma concentration) 34-61% after prasugrel and clopidogrel dosing. Ketoconazole did not affect R-138727 exposure or prasugrel's inhibition of platelet aggregation (IPA). Ketoconazole decreased clopidogrel's active metabolite AUC0-24 (area under the concentration-time curve to 24 h postdose) 22% (LD) to 29% (MD) and reduced IPA 28% (LD) to 33% (MD). We conclude that CYP3A4 and CYP3A5 inhibition by ketoconazole affects formation of clopidogrel's but not prasugrel's active metabolite. The decreased formation of clopidogrel's active metabolite is associated with reduced IPA.

Exenatide: effect of injection time on postprandial glucose in patients with Type 2 diabetes

AIMS

Exenatide is an incretin mimetic whose effect on glycaemic control in patients with Type 2 diabetes is currently under investigation. This study assessed the effect of injection time relative to a standardized meal on postprandial pharmacodynamics of exenatide in patients with Type 2 diabetes.

METHODS

Eighteen patients participated in this single-centre, open-label, placebo-controlled, randomized, six-way crossover study. Patients received subcutaneous injections of either placebo (-15 min) or 10 microg of exenatide at -60, -15, 0, +30 or +60 min relative to a standardized breakfast meal on six consecutive days. Serial blood samples were assayed for plasma glucose and insulin concentrations.

RESULTS

For all exenatide treatments, incremental postprandial glucose area under the postprandial plasma glucose curve from zero to 6 h (AUC0-6 h) was significantly reduced compared with placebo. When exenatide was administered before (-60, -15 min) or with the meal (0 min), peak postprandial glucose concentrations were significantly decreased (P < 0.0001 for all treatments) compared with placebo. Post-meal exenatide administration (+30, P < 0.05; +60 min, P = 0.21) resulted in smaller peak glucose reductions and in some patients transient low plasma glucose concentrations were reported. Peak plasma insulin concentrations in the pre-meal treatments were significantly lower than placebo (P < 0.05 for all treatments), while post-meal dosing groups exhibited a trend towards higher insulin peaks compared with placebo. The most common adverse events related to exenatide were headache, nausea, dyspepsia and vomiting, and were generally of mild-to-moderate intensity.

CONCLUSIONS

In this study, all exenatide treatments demonstrated reductions in postprandial plasma glucose excursions compared with placebo. Pre-meal and with meal administration of exenatide produced greater reduction of postprandial glucose excursions compared with post-meal administration. These data support flexible dosing of exenatide at any time within 60 min before a meal.

Mechanism-Based Inactivation of CYP3A by HIV Protease Inhibitors

Human immunodeficiency virus (HIV) protease inhibitors (PIs) are inhibitors of CYP3A enzymes, but the mechanism is poorly defined. In this study, time- and concentration-dependent decreases in activity as defined by maximum rate of inactivation (k(inact)) and inhibitor concentration that gives 50% maximal inactivation (K(I)) of CYP3A by amprenavir, indinavir, lopinavir, nelfinavir, ritonavir, and saquinavir were quantified using testosterone 6beta-hydroxylation as a marker for CYP3A activity with recombinant CYP3A4(+b(5)), recombinant CYP3A5, and pooled human liver microsomes (HLMs). All the PIs, except indinavir, displayed inactivation with CYP3A4(+b(5)) and HLMs. Ritonavir was the most potent (K(I) = 0.10 and 0.17 microM) and demonstrated high k(inact) values (0.32 and 0.40 min(-1)) with both CYP3A4(+b(5)) and HLMs. Ritonavir was not significantly depleted by high-affinity binding with CYP3A4(+b(5)) and confirmed that estimation of reversible inhibition was confounded with irreversible inhibition. For CYP3A5, nelfinavir exhibited the highest k(inact) (0.47 min(-1)), but ritonavir was the most potent (K(I) = 0.12 microM). Saquinavir and indinavir did not show time- and concentration-dependent decreases in activity with CYP3A5. Spectrophototmetrically determined metabolic intermediate complex formation was observed for all of the PIs with CYP3A4(+b(5)), except for lopinavir and saquinavir. The addition of nucleophilic and free aldehyde trapping agents and free iron and reactive oxygen species scavengers did not prevent inactivation of CYP3A4(+b(5)) by ritonavir, amprenavir, or nelfinavir, but glutathione decreased the inactivation by saquinavir (17%) and catalase decreased the inactivation by lopinavir (39%). In conclusion, all the PIs exhibited mechanism-based inactivation, and predictions of the extent and time course of drug interactions with PIs could be underestimated if based solely on reversible inhibition.

Inhaled micronized crystalline human insulin using a dry powder inhaler: dose-response and time-action profiles

AIM

The aim of this euglycaemic glucose clamp study was to investigate the pharmacokinetics, glucodynamics, safety and tolerability of micronized crystalline human insulin inhalation powder delivered by a Spiros dry powder inhaler system in healthy volunteers.

METHODS

Thirteen healthy, non-smoking, male and female volunteers [age 30 +/- 7 years; BMI 23.5 +/- 2.7 kg/m(2); (mean +/- sd)] with normal pulmonary function participated in an open-label, randomised, 6-period crossover trial. Each volunteer received four single doses of inhaled insulin (60, 90, 120, 150 U) on separate occasions. For comparison, each volunteer also received two of three possible doses of subcutaneous (s.c.) injected regular human insulin (8, 14, or 20 U).

RESULTS

Serum immunoreactive insulin following inhalation of insulin peaked an average of 60 min earlier compared with s.c. injected insulin (P < 0.0001). Following inhalation, the time to maximum glucose infusion rate occurred an average of 70 min earlier than with s.c. insulin: 187, 129, 161 and 162 min vs. 227, 241 and 241 min (P < 0.0001). The dose-response relationships for serum insulin pharmacokinetics and glucodynamics were linear for both inhaled and s.c. insulin. Relative bioavailability (based on serum insulin levels) ranged from 11.5 to 12.2% for the four doses of inhaled insulin and relative biopotency (based on glucose infusion rates) was 10.0 to 16.5%, respectively. Dosing was well tolerated by all volunteers.

CONCLUSION

This study demonstrates that inhalation of human insulin via a dry powder inhaler system provides a promising alternative route for administration of insulin.

Effect of potent CYP2D6 inhibition by paroxetine on atomoxetine pharmacokinetics

The purpose of this study was to characterize the effect of potent CYP2D6 inhibition byparoxetine on atomoxetine disposition in extensive metabolizers. This was a single-blind, two-period, sequential studyin 22 healthy individuals. In period 1, 20 mg atomoxetine bid was administered to steady state. In period 2, 20 mg paroxetine was administered qd for 17 days. On days 12 through 17, 20 mg atomoxetine bid were coadministered. Plasma pharmacokinetics of atomoxetine, 4-hydroxyatomoxetine, and N-desmethylatomoxetine was determined at steady state in each treatment period. Plasma pharmacokinetics of paroxetine were determined after the 11th and 17th doses. Paroxetine increased C(ss,max), AUC0-12, and t1/2 of atomoxetine by approximately 3.5-, 6.5-, and 2.5-fold, respectively. After coadministration with paroxetine, increases in N-desmethylatomoxetine and decreases in 4-hydroxyatomoxetine concentrations were observed. No changes in paroxetine pharmacokinetics were observed after coadministration with atomoxetine. It was concluded that inhibition of CYP2D6 by paroxetine markedly affected atomoxetine disposition, resulting in pharmacokinetics similar to poor metabolizers of CYP2D6 substrates.

Phase I and pharmacokinetic study of LY309887: a specific inhibitor of purine biosynthesis

PURPOSE

In this phase I trial in humans the safety and pharmacology of LY309887 on a weekly schedule combined with daily oral 5-mg doses of folic acid were evaluated.

BACKGROUND

LY309887 is an inhibitor of folate-dependent enzymes involved in de novo purine biosynthesis and has a broad preclinical antitumor activity. In murine systems, combining this agent with exogenous folic acid results in an enhanced therapeutic index.

METHODS

This study was a single-institution, open-label, clinical trial of dose escalation with toxicity and pharmacokinetic parameters determined. The dose range studied was 0.5-4 mg/m2 per week x6 and then a modified schedule weekly x3 every 6 weeks.

RESULTS

Dose-limiting toxicities were of delayed onset and associated with hematologic, neurologic, and mucosal effects. Pharmacokinetic parameters revealed dose linearity for AUC and Cmax. Low circulating levels of drug persisted for over 200 h. Urinary excretion accounted for approximately 50% of the parent drug but was highly variable. The urinary excretion was near maximal within 24 h of dosing.

CONCLUSIONS

The modified dosing schedule allowed repetitive dosing in patients. Further evaluation of the 2 mg/m2 per week x3 every 6 weeks with daily oral folate supplement as a potential phase II dose may be warranted.