Andrew T. Chow

The clinical pharmacokinetics of levofloxacin.

SummaryLevofloxacin is a fluoroquinolone antibiotic and is the optical S-(−) isomer of the racemic drug substance ofloxacin. It has a broad spectrum of in vitro activity against Gram-positive and Gram-negative bacteria, as well as certain other pathogens such as Mycoplasma, Chlamydia, Legionella and Mycobacteria spp. Levofloxacin is significantly more active against bacterial pathogens than R- (+) - ofloxacin. Levofloxacin hemihydrate, the commercially formulated product, is 97.6% levofloxacin by weight.Levofloxacin pharmacokinetics are described by a linear 2-compartment open model with first-order elimination. Plasma concentrations in healthy volunteers reach a mean peak drug plasma concentration (Cmax) of approximately 2.8 and 5.2 mg/L within 1 to 2 hours after oral administration of levofloxacin 250 and 500mg tablets, respectively. The bioavailability of oral levofloxacin approaches 100% and is little affected by the administration with food. Oral absorption is very rapid and complete, with little difference in the serum concentration-time profiles following 500mg oral or intravenous (infused over 60 minutes) doses.Single oral doses of levofloxacin 50 to 1000mg produce a mean Cmax and area under the concentration-time curve (AUC) ranging from approximately 0.6 to 9.4 mg/L and 4.7 to 108 mg·h/L, respectively, both increasing linearly in a doseproportional fashion. The pharmacokinetics of levofloxacin are similar during multiple-dose regimens to those following single doses. Levofloxacin is widely distributed throughout the body, with a mean volume of distribution of 1.1 L/kg, and penetrates well into most body tissues and fluids. Drug concentrations in tissues and fluids are generally greater than those observed in plasma, but penetration into the cerebrospinal fluid is relatively poor (concentrations approximately 16% of simultaneous plasma values). Levofloxacin is approximately 24 to 38% bound to serum plasma proteins (primarily albumin); serum protein binding is independent of serum drug concentrations.The plasma elimination half-life (t½β) ranges from 6 to 8 hours in individuals with normal renal function. Approximately 80% of levofloxacin is eliminated as unchanged drug in the urine through glomerular filtration and tubular secretion; minimal metabolism occurs with the formation of no metabolites possessing relevant pharmacological activity. Renal clearance and total body clearance are highly correlated with creatinine clearance (CLcr), and dosage adjustments are required in patients with significant renal dysfunction. Levofloxacin pharmacokinetics are not appreciably affected by age, gender or race when differences in renal function, and body mass and composition are taken into account.Important drug interactions exist with aluminium- and magnesium-containing antacids and ferrous sulfate, as with other fluoroquinolones, resulting in significantly decreased levofloxacin absorption when administered concurrently. These agents should be administered at least 2 hours before or after levofloxacin administration. Cimetidine and probenecid decrease levofloxacin renal clearance and increase t½β; the magnitudes of these interactions are not clinically significant. Levofloxacin appears to have only minor potential for significantly altering the pharmacokinetics of theophylline, warfarin, zidovudine, ranitidine, digoxin or cyclosporin; however, patients receiving these drugs concurrently should be monitored closely for signs of enhanced pharmacological effect or toxicity. Levofloxacin pharmacokinetics are not significantly altered by sucralfate when administration of these drugs is separated by at least 2 hours.

Population Pharmacokinetic Meta-Analysis of Denosumab in Healthy Subjects and Postmenopausal Women with Osteopenia or Osteoporosis

AbstractBackground and Objective: Inhibition of the receptor activator of nuclear factor k-B ligand (RANKL) is a therapeutic target for treatment of bone disorders associated with increased bone resorption, such as osteoporosis. The objective of this analysis was to characterize the population pharmacokinetics of denosumab (AMG 162; Prolia®), a fully human IgG2 monoclonal antibody that binds to RANKL, in healthy subjects and postmenopausal women with osteopenia or osteoporosis. Methods: A total of 22944 serum free denosumab concentrations from 495 healthy subjects and 1069 post-menopausal women with osteopenia or osteoporosis were pooled. Denosumab was administered as either a single intravenous dose (n = 36), a single subcutaneous dose (n = 469) or multiple subcutaneous doses (n= 1059), ranging from 0.01 to 3 mg/kg (or 6–210 mg as fixed mass dosages), every 3 or 6 months for up to 48 months. An open, two-compartment pharmacokinetic model with a quasi-steady-state approximation of the target-mediated drug disposition model was used to describe denosumab pharmacokinetics, using NONMEM Version 7.1.0 software. Subcutaneous absorption was characterized by the first-order absorption rate constant (ka), with constant absolute bioavailability over the range of doses that were evaluated. Clearance and volume of distribution parameters were scaled by body weight, using a power model. Model evaluation was performed through visual predictive checks. Results: The subcutaneous bioavailability of denosumab was 64%, and the ka was 0.00883 h−1. The central volume of distribution and linear clearance were 2.49 L/66 kg and 3.06 mL/h/66 kg, respectively. The baseline RANKL level, quasi-steady-state constant and RANKL degradation rate were 614ng/mL, 138 ng/mL and 0.00148 h−1, respectively. Between-subject variability in model parameters was moderate. A fixed dose of 60 mg provided RANKL inhibition similar to that achieved by equivalent body weight-based dosing. The effects of age and race on the area under the serum concentration-time curve of denosumab were less than 15% over the range of covariate values that were evaluated. Conclusions: The non-linearity in denosumab pharmacokinetics is probably due to RANKL binding, and denosumab dose adjustment based on the patient demographics is not warranted.

Population pharmacokinetic analysis of panitumumab in patients with advanced solid tumors.

Panitumumab is a fully human monoclonal antibody targeted to the extracellular domain of human epidermal growth factor receptor (EGFR). A comprehensive population pharmacokinetic model of panitumumab was developed using nonlinear mixed‐effects modeling of 1200 patients with advanced solid tumors in 14 clinical studies. The disposition of panitumumab was best described with a 2‐compartment model with parallel linear and nonlinear (Michaelis‐Menten) elimination pathways. For a typical male patient with colorectal cancer (80 kg, 60 years old), the estimates for the linear clearance (CL), the maximum nonlinear clearance (Vmax/Km), the central volume of distribution (V1), the peripheral volume of distribution (V2), and the Michaelis‐Menten constantt (Km) are 0.273 L/d, 28.4 L/d, 3. 95 L, 2.59 L, and 0.426 mcg/mL, respectively. Baseline covariates such as body weight, cancer type, age, sex, and race were studied for their influence on panitumumab pharmacokinetics. Body weight was found to be the most influential covariate on panitumumab exposure, affecting CL, Vmax, and V1. The administration of concomitant chemotherapy (IFL, FOLFIRI, or paclitaxel/carboplatin) or intensity of baseline tumor EGFR expression did not alter the pharmacokinetics of panitumumab. The presence of antipanitumumab antibodies in patients (immunogenicity rate 3.4%) did not appear to affect panitumumab exposure substantially (AUC difference 8%). In support of a new drug application in Japan, the model was used to assess panitumumab pharmacokinetics in Japanese patients compared to other racial groups; there were no significant differences in model‐predicted steady‐state panitumumab AUC, Cmax, or Cmin after accounting for the effect of body weight.

Population Pharmacokinetic Analysis of Denosumab in Patients with Bone Metastases from Solid Tumours

Background and ObjectiveDenosumab (XGEVA®; AMG 162) is a fully human IgG2 monoclonal antibody, which binds to the receptor activator of nuclear factor K-B ligand (RANKL) and prevents terminal differentiation, activation and survival of osteoclasts. We aimed to characterize the population pharmacokinetics of denosumab in patients with advanced solid tumours and bone metastases.MethodsA total of 14 228 free serum concentrations of denosumab from 1076 subjects (495 healthy subjects and 581 advanced cancer patients with solid tumours and bone metastases) included in 14 clinical studies were pooled. Denosumab was administered as either single intravenous (n= 36), single subcutaneous (n= 490) or multiple subcutaneous doses (n = 550) ranging from 30 to 180 mg (or from 0.01 to 3 mg/kg) and was given every 4 or 12 weeks for up to 3 years. An open two-compartment pharmacokinetic model with first-order absorption, linear distribution to a peripheral compartment, linear clearance and quasi-steady-state approximation of the target-mediated drug disposition was used to describe denosumab pharmacokinetics, using NONMEM Version 7.1.0 software. The influence of covariates (body weight, age, race, tumour type) was investigated using the full model approach. Model evaluation was performed through visual predictive checks. Model-based simulations were conducted to explore the role of covariates on denosumab serum concentrations and inferred RANKL occupancy.ResultsAfter subcutaneous administration, the dose-independent bioavailability and mean absorption half-life of denosumab were estimated to be 61% and 2.7 days, respectively. The central volume of distribution and linear clearance were 2.62L/66kg and 3.25mL/h/66kg, respectively. Clearance and volume parameters were proportional to body weight. Assuming 1:1 denosumab-RANKL binding, the baseline RANKL level, quasi-steady-state constant and RANKL degradation rate were inferred to be 4.46 nmol/L, 208ng/mL and 0.00116 h-1, respectively. Between-subject variability in model parameters was moderate. Following 120 mg dosing every 4 weeks, the inferred RANKL occupancy at steady state exceeded 97% during the entire dosing interval in more than 95% of subjects, regardless of the patient covariates.ConclusionsThe integration of pharmacokinetic data from 14 clinical studies demonstrated denosumab RANKL-mediated pharmacokinetics. Pharmacokinetics-based dosage adjustments on the basis of body weight, age, race and tumour type are not necessary in patients with bone metastases from solid tumours.

PhRMA Perspective on Population and Individual Bioequivalence

The Food and Drug Administration (FDA) issued a second‐draft guidance in August 1999 on the subject of in vivo bioequivalence, which is based on the concepts of individual and population bioequivalence (IBE and PBE, respectively). The intention of this guidance is to replace the 1992 guidance that requires that in vivo bioequivalence be demonstrated by average bioequivalence (ABE). Although the concepts of population and individual bioequivalence are intuitively reasonable, a detailed review of the literature has not uncovered clinical evidence to justify the additional burden to the innovator and generic companies as well as the consumer that the new guidelines would impose. The criteria for bioequivalence described in the draft guidance employ aggregate statistics that combine information about differences in bioavailability between formulation means and differences in bioavailability variation of formulations between and within subjects. The purely technical aspects of the statistical approach are reasonably sound. However, PhRMA believes that important operational issues remain that need to be resolved before any changes to current practice are implemented. PhRMA believes that the ideals of prescribability and switchability are intuitively reasonable, but it is uncertain of the extent to which the proposed guidance can achieve these goals. It is not clear whether the attainment of such goals is necessary in the evaluation of bioequivalence given the role this plays in drug development, and the lack of clinical evidence argues against a pressing need to change current practice. PhRMA is concerned that the trade‐off offered by the aggregate criteria may ultimately represent more harm than good to the public interest. PhRMA recommends more rigorous evaluation of methods based on two‐way crossover designs before moving to methods that require more complex designs. One such method is identified herein and contains procedures for estimating prescribability and switchability. The possibility of a phase‐in or trial period to collect replicate crossover data to further evaluate IBE and PBE and possibly allow market access based on these criteria as they are being evaluated has been proposed. PhRMA believes this is unprecedented and will offer little additional information beyond that which can be obtained by simulation or has already been collected by the FDA. Simulation studies have the advantage of allowing evaluation of the sensitivity of various procedures to represent the data patterns as created within the simulation. Operating characteristics by which proposed criteria can be adequately judged have not yet been defined. The limitations of ABE for highly variable drugs and narrow therapeutic drugs are well appreciated and may be addressed by means other than a wholesale change in the current criteria.

The Utility of Modeling and Simulation Approaches to Evaluate Immunogenicity Effect on the Therapeutic Protein Pharmacokinetics

While therapeutic proteins (TP), particularly recombinant human proteins and fully human monoclonal antibodies, are designed to have a low immunogenic potential in humans, a clinical immune response does sometimes occur and cannot be predicted from preclinical studies. Changes in TP pharmacokinetics may be perceived as an early indication of antibody formation and serve as a surrogate for later changes in efficacy and safety in individual subjects. Given the substantial increase in number of biological products, including biosimilars, there is an urgent need to quantitatively predict and quantify the immune response and any consequential changes in TP pharmacokinetics. The purpose of this communication is to review the utility of population-based modeling and simulation approaches developed to date for investigating the development of an immune response and assessing its impact on TP pharmacokinetics. Two examples of empirical modeling approaches for pharmacokinetic assessment are presented. The first example presents methods to analyze pharmacokinetic data in the presence of anti-drug antibody (ADA) and confirm the effect of immunogenicity on TP pharmacokinetics in early phases of drug development. The second example provides a framework to analyze pharmacokinetic data in the absence or with very low incidence of ADA and confirm with enough power the lack of an immunogenicity effect on TP pharmacokinetics in late phases of drug development. Finally, a theoretical mechanism-based modeling framework is presented to mathematically relate the complex interaction among TP, their targets, and ADA.

Therapeutic protein drug-drug interactions: navigating the knowledge gaps-highlights from the 2012 AAPS NBC Roundtable and IQ Consortium/FDA workshop.

The investigation of therapeutic protein drug–drug interactions has proven to be challenging. In May 2012, a roundtable was held at the American Association of Pharmaceutical Scientists National Biotechnology Conference to discuss the challenges of preclinical assessment and in vitro to in vivo extrapolation of these interactions. Several weeks later, a 2-day workshop co-sponsored by the U.S. Food and Drug Administration and the International Consortium for Innovation and Quality in Pharmaceutical Development was held to facilitate better understanding of the current science, investigative approaches and knowledge gaps in this field. Both meetings focused primarily on drug interactions involving therapeutic proteins that are pro-inflammatory cytokines or cytokine modulators. In this meeting synopsis, we provide highlights from both meetings and summarize observations and recommendations that were developed to reflect the current state of the art thinking, including a four-step risk assessment that could be used to determine the need (or not) for a dedicated clinical pharmacokinetic interaction study.

Denosumab Dose Selection for Patients with Bone Metastases from Solid Tumors

Purpose: To quantitatively characterize the longitudinal dose exposure–response [urinary N-telopeptide normalized to urinary creatinine (uNTx/Cr) suppression] relationship for denosumab in patients with bone metastases from solid tumors. Experimental Design: Data from 373 patients who received denosumab as single or multiple subcutaneous doses ranging from 30 to 180 mg (or 0.01 to 3 mg/kg) administered every 4 or 12 weeks for up to 3 years were used in this analysis. An inhibitory sigmoid IMax model was used to characterize the time course of uNTx/Cr as a function of serum denosumab concentrations and the M3 method was used to analyze the 52% of uNTx/Cr values below the limit of quantification in the context of a mixed-effects model. Age, weight, sex, race, and cancer type were evaluated as potential covariates for model parameters. Model-based simulations were undertaken to explore and predict the role of denosumab dose and dosing intervals on uNTx/Cr suppression. Results: The typical value (between-subject variability; %) for uNTx/Cr at baseline was 49.2 nmol/L/mmol/L (76.8%), denosumab maximal uNTx/Cr suppression (efficacy) was 93.7% (127%), and the denosumab concentration providing half-maximal uNTx/Cr suppression (potency) was 31.8 ng/mL (287%). No effect of covariates on denosumab efficacy and potency was identified. Simulations indicated that a s.c. denosumab dose of 120 mg administered every 4 weeks provides more than 90% suppression of uNTx/Cr in the maximum proportion of patients relative to other every 4- and 12-week doses evaluated. Conclusions: Over the wide range of dosing regimens examined, a s.c. denosumab dose of 120 mg administered every 4 weeks is the optimal dosing regimen to suppress uNTx/Cr in patients with bone metastases from solid tumors. Clin Cancer Res; 18(9); 2648–57. ©2012 AACR.

Pharmacokinetics and pharmacodynamics of tepoxalin after single oral dose administration to healthy volunteers

This study was conducted to examine the pharmacokinetics and pharmacodynamics of tepoxalin in healthy volunteers, an antiinflammatory compound that inhibits cyclooxygenase and lipoxygenase. Tepoxalin was absorbed after oral administration of single doses from 35 to 300 mg, after which it was rapidly converted to an acidic metabolite, RWJ 20142, which inhibits cyclooxygenase but not lipoxygenase. The areas under the concentration‐time curve (AUC) of tepoxalin and RWJ 20142 in plasma increased in a dose‐dependent fashion. Administration of the lowest dose of tepoxalin completely inhibited whole blood cyclooxygenase for the entire period of observation. This inhibition correlated closely with that of secretion and aggregation induced by collagen of platelets obtained from these subjects. Similarly, administration of tepoxalin was associated with significant inhibition of lipoxygenase in whole blood. Lipoxygenase was inhibited a maximum of 60% in a time‐dependent fashion, and the duration of inhibition was dose‐dependent. These studies demonstrate that tepoxalin inhibits whole blood cyclooxygenase, lipoxygenase, and platelet function after oral administration in humans.

Exposure‐Response Modeling of Darbepoetin Alfa in Anemic Patients With Chronic Kidney Disease Not Receiving Dialysis

A population pharmacokinetic and pharmacodynamic model (PK/PD) of darbepoetin alfa following intravenous (IV) or subcutaneous (SC) administration in participants with chronic kidney disease (CKD) was developed. Darbepoetin alfa concentrations from 96 CKD participants, who received IV or SC darbepoetin alfa, and Hgb concentration from 332 CKD participants not on dialysis, who received SC doses of darbepoetin alfa, were used to develop the PK/PD model. An open 2‐compartment model with sequential zero‐ and first‐order absorption was used to characterize darbepoetin alfa pharmacokinetics. Darbepoetin alfa was assumed to trigger concentration‐dependent stimulation of production of progenitor cells of red blood cells (RBCs) in bone marrow, which become red blood cells and died after life span expiration. Model evaluation was performed through nonparametric bootstrap and posterior predictive checks. Absolute bioavailability, total mean absorption time, clearance, and volume of distribution were estimated to be 44%, 52 h, 3.4 L/d/70 kg, and 5.9 L/70 kg, respectively. The estimates of drug potency, efficacy, and RBC life span were 0.41 ng/mL, 64%, and 77 days, respectively. Pharmacokinetic or pharmacodynamic parameters of darbepoetin alfa were not affected by age and sex. The qualified model supports the use of darbepoetin alfa administered biweekly (SC) in CKD patients for anemia correction and monthly (SC) for hemoglobin maintenance. In addition, the model is deemed appropriate to conduct simulations to support dose selection for additional clinical studies.