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Therapeutic drug monitoring for busulfan is currently performed by multiple plasma sampling. Saliva is considered a noninvasive therapeutic drug monitoring matrix. This study aimed to investigate intravenous busulfan pharmacokinetics (PK) in plasma and saliva, and establish a limited sampling strategy (LSS) for predicting the area under the concentration-time curve from time zero to infinity in plasma (AUC 0-∞,p) by using saliva samples. Therefore, the PK of busulfan was studied in 37 Chinese patients. Pearson correlation analysis was used to evaluate the correlation between the AUC of busulfan in plasma and saliva. LSS models were established by the multiple linear regression analysis. The prediction error, the mean prediction error, and the root mean square error were used to evaluate the predictive accuracy. The agreement between the predicted and observed AUC 0-∞ in saliva was investigated by the intraclass correlation coefficient and Bland-Altman analysis. The accuracy and robustness of the models were evaluated by using the bootstrap procedure. The result of PK analysis 62.2% of patients (23/37) was within the target range of AUC 0-∞,p . A good correlation between saliva and plasma busulfan AUC 0-∞ was observed (r = 0.63, p < .01). The bias and precision of the models 7 and 13 were less than 15%. The intraclass correlation coefficient exceeded 0.9, and the limits of agreement were within ±15%. The 2-point LSS model in saliva is a convenient and desirable approach to predict the AUC 0-∞ of 4 times daily intravenous busulfan in plasma, which can be used to design personalized dosing for busulfan., (© 2023, The American College of Clinical Pharmacology.)

This study evaluated the benefit/risk of trastuzumab deruxtecan (T-DXd) 6.4 mg/kg in patients with human epidermal growth factor receptor 2 (HER2)-positive gastric cancer using pharmacometrics. A population pharmacokinetic (PopPK) model was developed using data from patients with gastric cancer, breast cancer, or other tumors in T-DXd clinical trials, primarily conducted in Asia. Post hoc model-estimated pharmacokinetic metrics were used in exposure-efficacy (objective response rates, ORRs) and exposure-safety analyses. The PopPK analysis included 808 patients (217 with gastric cancer, 512 with breast cancer, and 79 with other cancers). In gastric cancer, the T-DXd 6.4 mg/kg steady-state exposure metrics were lower compared with 6.4 mg/kg in breast cancer, but were similar to 5.4 mg/kg in breast cancer. Tumor type was selected as a significant covariate on T-DXd clearance. In exposure-efficacy analysis among 160 patients with gastric cancer, the T-DXd steady-state minimum concentration was associated with a confirmed ORR in univariate logistic regression analysis (P = .023). The model-predicted confirmed ORRs in gastric cancer were 36.0% (90%CI 29.3% to 43.7%) with 5.4 mg/kg and 40.0% (90%CI 33.1% to 47.6%) with 6.4 mg/kg. Among 808 patients in the exposure-safety analyses, the model-predicted estimates for the rates of any-grade interstitial lung disease (ILD) over a period of 180 days were 10.2% (90%CI 8.7% to 12.8%) with 6.4 mg/kg in gastric cancer and 9.7% (90%CI 8.2% to 11.8%) with 5.4 mg/kg in breast cancer. In gastric cancer, the efficacy of T-DXd was higher at 6.4 mg/kg than at 5.4 mg/kg. Exposure and ILD rates were comparable between 6.4 mg/kg in gastric cancer and 5.4 mg/kg in breast cancer. This study identified T-DXd 6.4 mg/kg as the recommended dose in HER2-positive gastric cancer., (© 2023 The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals LLC on behalf of American College of Clinical Pharmacology.)

Acalabrutinib received approval for the treatment of adult patients with mantle cell lymphoma who received at least 1 prior therapy and adult patients with chronic lymphocytic leukemia or small lymphocytic lymphoma. This study investigated the impact of hepatic impairment (HI) on acalabrutinib pharmacokinetics (PK) and safety at a single 50-mg dose in fasted subjects. This study was divided into 2 parts: study 1, an open-label, parallel-group study in Child-Pugh class A or B subjects and healthy subjects; and study 2, an open-label, parallel-group study in Child-Pugh class C subjects and healthy subjects. Baseline characteristics and safety profiles were similar across groups. Acalabrutinib exposure (area under the plasma concentration-time curve) increased slightly (1.90- and 1.48-fold) in subjects with mild (Child-Pugh class A) and moderate (Child-Pugh class B) hepatic impairment compared with healthy subjects. In severe hepatic impairment (Child-Pugh class C), acalabrutinib exposure (area under the plasma concentration-time curve and maximum plasma concentration) increased ≈5.0- and 3.6-fold, respectively. Results were consistent across total and unbound exposures. Severe hepatic impairment did not impact total/unbound metabolite (ACP-5862) exposures; the metabolite-to-parent ratio decreased to 0.6 to 0.8 (vs 3.1-3.6 in healthy subjects). In summary, single oral dose of 50-mg acalabrutinib was safe and well tolerated in subjects with mild, moderate, and severe hepatic impairment and in healthy control subjects. In subjects with severe hepatic impairment, mean acalabrutinib exposure increased by up to 5-fold and should be avoided. Acalabrutinib does not require dose adjustment in patients with mild or moderate hepatic impairment., (© 2021 The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals LLC on behalf of American College of Clinical Pharmacology.)

Pexidartinib is a kinase inhibitor that induces tumor response and improvements in symptoms and functional outcomes in adult patients with symptomatic tenosynovial giant cell tumor (TGCT). A population pharmacokinetic (PK) model for pexidartinib and its metabolite, ZAAD, was developed, and effects of demographic and clinical factors on the PK of pexidartinib and ZAAD were estimated. The analysis included pooled data from 7 studies in healthy volunteers (N = 159) and 2 studies in patients with TGCT or other solid tumors (N = 216). A structural 2-compartment model with sequential zero- and first-order absorption and lag time, and linear elimination from the central compartment adequately described pexidartinib and ZAAD PKs. Clearance of pexidartinib was estimated at 5.83 L/h in a typical patient with reference covariates (male, non-Asian, weight = 80 kg, creatinine clearance ≥90 mL/min, aspartate aminotransferase ≤80 U/L, and total bilirubin ≤20.5 μmol/L). In the covariate analysis, Asians and healthy subjects had modestly lower pexidartinib exposure (21% decrease each) in terms of steady-state area under the curve values from 0 to 24 hours (AUC 0-24,ss ). Effects of body weight, sex, and hepatic function parameters on pexidartinib AUC 0-24,ss were generally <20%. Patients with TGCT with mild renal impairment were predicted to have approximately 23% higher AUC 0-24,ss than those with normal renal function. The effects of covariates on ZAAD exposure were similar to those on pexidartinib. These results indicate small and generally clinically nonmeaningful effects of patient demographic and clinical characteristics on pexidartinib and ZAAD PK profiles., (© 2020 Daiichi Sankyo, Inc. The Journal of Clinical Pharmacology published by Wiley Periodicals LLC on behalf of American College of Clinical Pharmacology.)

Antibody therapeutics continue to represent a significant portion of the biotherapeutic pipeline, with growing promise for bispecific antibodies (BsAbs). BsAbs can target 2 different antigens at the same time, such as simultaneously binding tumor-cell receptors and recruiting cytotoxic immune cells. This simultaneous engagement of 2 targets can be potentially advantageous, as it may overcome disadvantages posed by a monotherapy approach, like the development of resistance to treatment. Combination therapy approaches that modulate 2 targets simultaneously offer similar advantages, but BsAbs are more efficient to develop. Unlike combination approaches, BsAbs can facilitate spatial proximity of targets that may be necessary to induce the desired effect. Successful development of BsAbs requires understanding antibody formatting and optimizing activity for both targets prior to clinical trials. To realize maximal efficacy, special attention is required to fully define pharmacokinetic (PK)/pharmacodynamic (PD) relationships enabling selection of dose and regimen. The application of physiologically based pharmacokinetics (PBPK) has been evolving to inform the development of novel treatment modalities such as bispecifics owing to the increase in our understanding of pharmacology, utility of multiscale models, and emerging clinical data. In this review, we discuss components of PBPK models to describe the PK characteristics of BsAbs and expand the discussion to integration of PBPK and PD models to inform development of BsAbs. A framework that can be adopted to build PBPK-PD models to inform the development of BsAbs is also proposed. We conclude with examples that highlight the application of PBPK-PD and share perspectives on future opportunities for this emerging quantitative tool., (© 2020, The American College of Clinical Pharmacology.)

Development of effective therapeutics that slow Huntington's disease progression is a research priority that requires an understanding of natural disease progression. We applied a population-modeling approach to describe the progression of 2 routinely used rating scales - the total motor score and the total functional capacity score. Models were fitted to data from research participants aged ≥ 18 years with Huntington's disease stage I or II at study entry (total functional capacity score ≥ 7), from a controlled clinical trial (CARE-HD) and 2 observational studies (COHORT and Registry). A logistic model without shape factors was selected as the base model based on placebo data from CARE-HD and validated using data from the CARE-HD active-treatment arms. Albeit with a smaller progression rate constant than was found in CARE-HD, the proposed models provided reasonable predictions for both rating scales in the pooled data from COHORT and Registry and were considered suitable for use in clinical trial simulations. Results also showed that disease burden score (a product of age and expanded CAG length) is a significant covariate on both the progression rate constant and the baseline score in the total motor score model. These findings suggest that total motor score and total functional capacity progress fastest near their half-maximal score, implying that the efficiency of clinical trials evaluating disease-modifying therapeutics for Huntington's disease could be enhanced by enrolling patients with faster disease progression or evaluating treatment effect near their half-maximal score, provided that the evaluated therapy is expected to be efficacious at this disease stage., (© 2020, The American College of Clinical Pharmacology.)

Evaluation of the effect of food on the pharmacokinetics of oral oncology drugs is critical to drug development, as food can mitigate or exacerbate toxicities and alter systemic exposure. Our aim is to expand on current US Food and Drug Administration (FDA) guidance and provide data-driven food-effect study design recommendations specific to the oncology therapeutic area. Data for recently approved small-molecule oncology drugs was extracted from the clinical pharmacology review in the sponsor's FDA submission package. Information on subject selection, meal types, timing of the study relative to the pivotal trial, and study outcomes was analyzed. The number of subjects enrolled ranged from 12 to 60, and the majority of studies (19 of 29) were conducted in healthy volunteers. Using AstraZeneca cost data, healthy volunteer studies were estimated to cost 10-fold less than cancer patient studies. Nine of 29 (31%) studies included meals with multiple levels of fat content. Analysis of a subset of 16 drugs revealed that final results for the food-effect study were available before the start of the pivotal trial for only 2 drugs. Conducting small food-effect studies powered to estimate effect, rather than confirm no effect, with only a standardized high-fat meal according to FDA guidance may eliminate unnecessary studies, reduce cost, and improve efficiency in oncology drug development. Starting food-effect studies as early as possible is key to inform dosing in pivotal trials., (© 2018, The American College of Clinical Pharmacology.)

Selumetinib (AZD6244, ARRAY-142886) is a mitogen-activated protein kinase kinase inhibitor that has been tested for treatment of non-small cell lung cancer (NSCLC). Selumetinib (75 mg twice daily) plus docetaxel in patients with advanced NSCLC has been assessed in phase 2 (SELECT-2) and phase 3 (SELECT-1) clinical trials. The objective of the current analysis was to investigate the exposure-response relationship of selumetinib in these 2 clinical trials, based on the development of a population pharmacokinetic (PopPK) model for selumetinib and its active metabolite, N-desmethyl selumetinib, in patients with NSCLC. A PopPK model using data from seven phase 1 studies was first developed and served as prior information for the development of the patient PopPK model. The pharmacokinetics (PK) of selumetinib and N-desmethyl selumetinib were modeled simultaneously. A two-compartment model with zero-first order absorption and first-order elimination reasonably described the selumetinib PK. The N-desmethyl metabolite of selumetinib was described by a one-compartment model with first-order elimination. The final PK parameter estimates were similar between patients with NSCLC and patients in the phase 1 population. Selumetinib apparent clearance and central volume of distribution were 11.9 L/h and 32.1 L, respectively, in patients. Individual selumetinib exposure metrics were estimated to investigate the correlation between exposure and efficacy/safety endpoints observed in NSCLC studies. There was no significant difference in progression-free survival (the primary endpoint) among the different quartiles of exposure. Similarly, no significant correlation was observed between selumetinib exposure and other secondary efficacy or safety endpoints. The conclusions are in accordance with the reported clinical findings., (© 2018, The American College of Clinical Pharmacology.)

AZD3241 is a potent and selective myeloperoxidase inhibitor potentially for the treatment of a number of neurodegenerative disorders, including multiple system atrophy (MSA). The objectives of this work were to develop a population pharmacokinetic (PopPK) model for AZD3241 and to investigate the correlation between AZD3241 exposure and myeloperoxidase inhibition. The PopPK model was developed using AZD3241 data from one phase 1 study in healthy subjects and one phase 2 study in patients with MSA. A one-compartment model incorporating a gallbladder compartment for enterohepatic circulation, sequential zero-first order absorption, and first-order elimination adequately described the AZD3241 concentration profiles. The apparent clearance and central volume of distribution were 63.1 L/h (interindividual variability: 34.8%) and 121.9 L (interindividual variability: 44.0%), respectively. The enterohepatic circulation model reasonably captured the second peak of AZD3241, and high-fat food increased the absorption rate by 69%. A linear regression model was applied to describe the relationship between AZD3241 exposure and percentage change from baseline in myeloperoxidase-specific activity. The developed PopPK model was consistent with known pharmacokinetic characteristics of AZD3241. This model can be used to estimate AZD3241 exposure in patients with MSA and could be applied to future pharmacokinetic-pharmacodynamic analyses of AZD3241 in clinical development., (© 2018, The American College of Clinical Pharmacology.)

Gefitinib is a selective inhibitor of epidermal growth factor receptor (EGFR) tyrosine kinase and is used for the treatment of non-small-cell lung cancer (NSCLC) with activating EGFR mutations. Gefitinib is metabolized by CYP2D6 and CYP3A4. This analysis compared the systemic exposure of gefitinib after oral administration in CYP2D6 ultrarapid metabolizers (UM) vs extensive metabolizers (EM). Physiologically based pharmacokinetic (PBPK) modeling was conducted using a population-based simulator. The model was calibrated using itraconazole-gefitinib clinical drug-drug interaction data and validated with gefitinib data in CYP2D6 EM vs poor metabolizers (PM). System components of the PBPK model were evaluated using published clinical metoprolol pharmacokinetic data in CYP2D6 UM, EM, and PM. Our PBPK model predicted a gefitinib geometric least-squares mean area under the plasma concentration-time curve (AUC) from time 0 to 264 hours (AUC (0-264) ) ratio in the presence vs absence of itraconazole of 1.85, similar to the ratio of 1.78 from clinical study data. Predicted and observed metoprolol geometric least-squares mean AUC (0-24) ratios in UM vs EM were also similar (0.46 and 0.55, respectively), suggesting that system components related to CYP2D6 in the PBPK model were properly established. In addition, the PBPK model also captured gefitinib pharmacokinetic profiles in CYP2D6 polymorphic populations. The final PBPK model predicted a decrease in gefitinib AUC of ∼39% in CYP2D6 UM vs EM. Such changes in exposure will have limited impact as the reduced exposure is still above gefitinib's in vitro IC 90 for EGFR activating mutations in NSCLC patients., (© 2017, The American College of Clinical Pharmacology.)

Zolmitriptan is a serotonin (5-HT) 1B/1D receptor agonist effective for the treatment of migraine. This analysis aimed to develop a population pharmacokinetic (PK) model for zolmitriptan and its active metabolite in adults and adolescents and provide appropriate dosing regimens to be used in clinical trials for children 6-11 years old. The data from a single-dose clinical study of 5.0-mg zolmitriptan nasal spray (ZNS) conducted in adult and adolescent patients with migraine between migraine attacks was applied. Similar plasma concentration profiles of zolmitriptan and its metabolite, 183C91, were observed in adults and adolescents. A 1-compartment model with first-order absorption and first-order elimination reasonably described the zolmitriptan PK. With a portion of elimination of zolmitriptan being treated as the conversion from zolmitriptan to 183C91, the disposition of 183C91 was described by a 1-compartment model with first-order elimination. The estimated typical apparent volume of distribution and clearance of zolmitriptan were 136 L and 121 L/h, respectively, with 56.5% and 42.6% between-subject variability, respectively. Based on the simulation results with the final population PK model, a body weight-based dosing scheme of 5.0 and 2.5 mg ZNS in children greater than and less than 50 kg is recommended to achieve exposures similar to those of the adult and adolescent population administered 5.0 mg ZNS. The recommended doses for children to achieve exposure similar to that observed in adults given 2.5 mg ZNS are 2.5 mg (≥50 kg) and 1.0 mg (15-50 kg). These dosing regimens could be used in future clinical trials., (© 2017, The American College of Clinical Pharmacology.)

Aztreonam is a monocyclic β-lactam antibiotic often used to treat infections caused by Enterobacteriaceae or Pseudomonas aeruginosa. Despite the long history of clinical use, population pharmacokinetic modeling of aztreonam in renally impaired patients is not yet available. The aims of this study were to assess the impact of renal impairment on aztreonam exposure and to evaluate dosing regimens for patients with renal impairment. A population model describing aztreonam pharmacokinetics following intravenous administration was developed using plasma concentrations from 42 healthy volunteers and renally impaired patients from 2 clinical studies. The final pharmacokinetic model was used to predict aztreonam plasma concentrations and evaluate the probability of pharmacodynamic target attainment (PTA) in patients with different levels of renal function. A 2-compartment model with first-order elimination adequately described aztreonam pharmacokinetics. The population mean estimates of aztreonam clearance, intercompartmental clearance, volume of distribution of the central compartment, and volume of distribution of the peripheral compartment were 4.93 L/h, 9.26 L/h, 7.43 L, and 6.44 L, respectively. Creatinine clearance and body weight were the most significant variables to explain patient variability in aztreonam clearance and volume of distribution, respectively. Simulations using the final pharmacokinetic model resulted in a clinical susceptibility break point of 4 and 8 mg/L, respectively, based on the clinical use of 1- and 2-g loading doses with the same or reduced maintenance dose every 8 hours for various renal deficiency patients. The population pharmacokinetic modeling and PTA estimation support adequate PTAs (>90% PTA) from the aztreonam label for dose adjustment of aztreonam in patients with moderate and severe renal impairment., (© 2016, The American College of Clinical Pharmacology.)

Significant and reversible reductions in testosterone levels were observed with AZD4901 in both preclinical and clinical testing. A comprehensive population pharmacokinetic/pharmacodynamic (PK/PD) modeling of AZD4901 concentration and testosterone relationship from 3 phase 1 studies was performed using NONMEM to support dose selection for phase 2a development. A 2-compartment model with first-order absorption and first-order elimination best described AZD4901 PK. Circadian rhythm of baseline testosterone concentrations was well described by a cosine function. An indirect response model with inhibition of testosterone production was used to link the AZD4901 concentration to testosterone response. The AZD4901 concentration to yield 50% maximum testosterone suppression (IC50) was estimated to be 230 ng/mL. Based on simulations, following 40 mg twice daily (BID) treatment, the AZD4901 steady-state trough concentration will be much higher compared to 80 mg once daily (QD). The AZD4901 concentration time above IC50 after 40 mg BID is 84% of the time of the dosing interval compared to only 49% after 80 mg QD. The mean predicted testosterone concentrations at steady state are lower and overall less variable over 24 hours for 40 mg BID dosing compared to 80 mg QD dosing. Population PK and PK/PD analyses demonstrated that AZD4901 40 mg BID is a better dosing strategy to more consistently suppress testosterone during the entire dosing interval. Consequently, 40 mg BID dosing was suggested in a phase 2a trial in females with polycystic ovary syndrome, and the trial resulted in a positive outcome as shown by significant testosterone decrease compared to placebo., (© 2015, The American College of Clinical Pharmacology.)

A population model describing quetiapine pharmacokinetics (PK) in Western and Chinese patients following oral administration of immediate-release (IR) and extended-release (XR) formulations was developed using plasma concentrations in 127 patients from 5 studies with quetiapine IR and/or XR in Western patients and 1 study with quetiapine XR in Chinese patients. A 1-compartmental model with first-order absorption and first-order elimination adequately described the quetiapine PK. The typical apparent volume of distribution and elimination rate constant of quetiapine were 574 L and 0.12 h(-) (1) , respectively. The estimated population absorption rate constants were 1.46 and 0.10 h(-1) for quetiapine IR and XR, respectively. Covariate analysis revealed that race was not a significant covariate influencing the PK of quetiapine. Simulation conducted with the final quetiapine population PK model predicted that the administration of a 200-mg twice-daily dose of quetiapine IR in Chinese patients would achieve a steady-state AUC (AUCss ) ± standard deviation of 3087 ± 1480 ng · h/mL, which is in close agreement with the reported value (3538 ± 1728 ng · h/mL). The model also predicted that once-daily administration of 300 mg quetiapine IR or XR would achieve similar exposure in terms of AUCss in Chinese patients., (© 2015, The American College of Clinical Pharmacology.)

The objectives of the present study were to evaluate safety and tolerability as well as the effects of multiple doses of lanicemine on the pharmacokinetics of a CYP3A substrate, midazolam. A total of 46 healthy volunteers were enrolled in the open-label, fixed-sequence, nonrandomized study. All volunteers received an oral dose of 5 mg of midazolam alone or after 6 days of 150 mg daily intravenous infusion of lanicemine. Lanicemine reached a plasma Cmax of 1.51 μg/mL after 150 mg daily dosing to steady state. The geometric mean CL, Vss, and t1/2 of lanicemine were 8.1 L/h, 122.0 L, and 10.4 hours, respectively. The geometric least-squares mean ratios and 90% confidence intervals for midazolam AUC0- ∞ , and Cmax were within the 80% to 125% limits when lanicemine plus midazolam treatment was compared with midazolam alone, demonstrating that daily dosing with 150 mg of lanicemine for 6 days had no effect on CYP3A activity. Comprehensive physiologically based pharmacokinetic modeling using in vitro and in silico findings also indicated lanicemine would have little impact on the pharmacokinetics of CYP3A substrate, such as midazolam. In addition, lanicemine and midazolam administered alone or in combination were generally safe and well tolerated., (© 2015, The American College of Clinical Pharmacology.)

The purpose of this work was to develop a consolidated set of guiding principles for the reporting of population pharmacokinetic (PK) analyses based on input from a survey of practitioners as well as discussions between industry, consulting, and regulatory scientists. The survey found that identification of population covariate effects on drug exposure and support for dose selection (in which population PK frequently serves as preparatory analysis for exposure-response modeling) are the main areas of influence for population PK analysis. The proposed guidelines consider 2 main purposes of population PK reports: (1) to present key analysis findings and their impact on drug development decisions, and (2) as documentation of the analysis methods for the dual purpose of enabling review of the analysis and facilitating future use of the models. This work also identified 2 main audiences for the reports: (1) a technically competent group responsible for in-depth review of the data, methodology, and results; and (2) a scientifically literate but not technically adept group, whose main interest is in the implications of the analysis for the broader drug development program. We recommend a generalized question-based approach with 6 questions that need to be addressed throughout the report. We recommend 8 sections (Synopsis, Introduction, Data, Methods, Results, Discussion, Conclusions, Appendix) with suggestions for the target audience and level of detail for each section. A section providing general expectations regarding population PK reporting from a regulatory perspective is also included. We consider this an important step toward industrialization of the field of pharmacometrics such that a nontechnical audience also understands the role of pharmacometric analyses in decision making. Population PK reports were chosen as representative reports to derive these recommendations; however, the guiding principles presented here are applicable for all pharmacometric reports including pharmacokinetics/pharmacodynamics and simulation reports., (© 2015 The Authors. The Journal of Clinical Pharmacology Published by Wiley Periodicals, Inc. on behalf of American College of Clinical Pharmacology.)

R788 (fostamatinib) is an oral prodrug that is rapidly converted into a relatively selective spleen tyrosine kinase (SYK) inhibitor R406, evaluated for the treatment of rheumatoid arthritis (RA). This analysis aimed at developing a pharmacodynamic model for efficacy using pooled ACR20 data from two phase II studies in patients with rheumatoid arthritis (TASKi1 and TASKi2), describing the effect of fostamatinib as a function of fostamatinib exposure (dose, R406 plasma concentration) and other explanatory variables. The exposure-response relationship of fostamatinib was implemented into a continuous time Markov model describing the time course of transition probabilities between the three possible states of ACR20 non-responder, responder, and dropout at each visit. The probability of transition to the ACR20 response state was linearly (at the rate constant level) related to average R406 plasma concentrations and the onset of this drug effect was fast. Further, increases of fostamatinib dose resulted in increased dropout and subsequent loss of efficacy. This analysis provided an increased understanding of the exposure-response relationship, and provided support for fostamatinib 100 mg BID an appropriate dose regimen for further clinical evaluation., (© 2014, The American College of Clinical Pharmacology.)

TC-5214 (dexmecamylamine) is a nicotinic channel modulator that has previously been evaluated for treatment of major depression disorder (MDD) and is currently being evaluated by Targacept as a treatment for overactive bladder. A comprehensive population pharmacokinetic (POP PK) model of TC-5214 was developed using nonlinear mixed-effects modeling of pooled plasma concentration data from 6 early phase I studies in 179 healthy participants or patients with non-MDD and 1 phase II study in 68 MDD patients. Concentration-time profiles of TC-5214 after either single or multiple oral doses of TC-5214 was described by a one-compartment model with first-order absorption with lag time and first-order elimination. Covariate analysis revealed that creatinine clearance was a significant covariate on clearance and that body weight significantly influenced the central volume of distribution. The final model (with identified covariates) was used to simulate steady-state exposure for patients with impaired renal function. Results from forest plots reveal that patients with moderate to severe renal impairment or end stage renal disease are associated with significantly higher Cssmax and AUC compared to patients with normal renal function. The proposed final POP PK model could be employed in defining a TC-5214 dosage regimen in patients with impaired renal function., (© 2014, The American College of Clinical Pharmacology.)

The glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide was approved in 2010 by the US Food and Drug Administration (FDA) as an adjunct treatment to diet and exercise to improve glycemic control in adults with type 2 diabetes mellitus. This article provides insights into the use of pharmacometric analyses for regulatory review with a focus on the dosing recommendations. The assessment was based on the totality of exploratory and confirmatory analysis of dose-finding and pivotal clinical data and was structured around a set of key questions in accordance with current FDA review practice. For the pharmacometric review of liraglutide, the key questions focused on exposure-response relationships for effects on fasting plasma glucose, hemoglobin A(1c), and calcitonin and on variability in exposure across demographic subgroups of patients. The importance of conducting exploratory exposure-response analysis and population pharmacokinetic studies in clinical drug development to support dosing recommendations is highlighted.