Volenrelaxin (LY3540378) increases Renal Plasma Flow: A Randomized Phase 1 Trial.

BACKGROUND AND HYPOTHESIS: Volenrelaxin, is a half-life-extended recombinant human relaxin protein developed for improving kidney perfusion and cardiorenal function. This study assessed the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) of volenrelaxin following single- and multiple-ascending doses (SAD and MAD) administration. METHODS: In this Phase 1, 4-part, randomized, double-blinded, placebo-controlled SAD and MAD study in healthy participants, SAD participants (n = 56) received an intravenous (IV) or subcutaneous (SC) dose of volenrelaxin or placebo in a dose-ascending manner. MAD participants (n = 77) received volenrelaxin or placebo SC once weekly for 5 weeks. Effective renal plasma flow (ERPF) and measured glomerular filtration rate (mGFR) were determined by para-aminohippurate and iohexol clearance, respectively. RESULTS: Volenrelaxin demonstrated an extended half-life and increased acute and chronic placebo-adjusted ERPF change from baseline by 50% and 44%, respectively (p < 0.0001). Measured GFR was unchanged, while filtration fraction and afferent/efferent renal arteriolar resistances were reduced. Systolic and diastolic blood pressures decreased, and pulse rate increased with increasing volenrelaxin exposures, demonstrating maximal model-derived placebo-adjusted changes (90% confidence interval) of -6.16 (-8.04, -4.28) mmHg, -6.10 (-7.61, -4.58) mmHg, and + 4.39 (3.38, 5.39) bpm, respectively. Adverse events were mild, with no difference in orthostatic hypotension between volenrelaxin and placebo. CONCLUSION: Volenrelaxin was well-tolerated, safe and suitable for weekly SC dosing. Volenrelaxin showed a sustained improvement in kidney perfusion upon repeated dosing, supporting further clinical development in chronic kidney disease and chronic heart failure. Clinical trial registration: NCT04768855.

A model-based simulation of glycaemic control and body weight when switching from semaglutide to 3.0- and 4.5-mg doses of once-weekly dulaglutide.

AIM: To evaluate HbA1c and body weight changes when semaglutide 0.5- or 1.0-mg once-weekly (QW) is switched to dulaglutide 3.0- or 4.5-mg QW via exposure-response modelling. METHODS: HbA1c and body weight time-course models were developed and validated with data from the SUSTAIN 1 to 10 trials for semaglutide and the AWARD-11 trial for dulaglutide. Simulations were conducted for HbA1c and body weight over 52 weeks. In the initial 26 weeks, semaglutide was initiated at 0.25-mg and titrated to 0.5- or 1.0-mg QW via 4-weekly stepwise titration, followed by 26 weeks of dulaglutide initiated at 0.75- or 1.5-mg QW and escalated to 3.0- or 4.5-mg QW via 4-weekly stepwise titration. RESULTS: At 26 weeks, model-predicted mean changes from baseline in HbA1c and weight for semaglutide 0.5 mg were up to -1.55% and -3.44 kg, respectively. After switching to dulaglutide 3.0 mg, further reductions were 0.19% and 1.40 kg, respectively, at 52 weeks. Predicted mean HbA1c and weight changes for semaglutide 1.0 mg at 26 weeks were -1.84% and -4.96 kg, respectively; after switching to dulaglutide 4.5 mg, HbA1c was maintained with additional weight reduction of up to 0.57 kg at 52 weeks. Glycaemic control was preserved when switching from semaglutide 1.0 mg to dulaglutide 3.0 mg. CONCLUSION: Switching from semaglutide 0.5 mg to dulaglutide 3.0 or 4.5 mg with dose escalation potentially yields additional HbA1c and weight reductions; switching from semaglutide 1.0 mg to dulaglutide 4.5 mg may enhance weight loss.

Estimation of the inter- and intrasubject variability of the diurnal serum cortisol rhythm in healthy male subjects to evaluate the biomarker potential for drug target engagement.

OBJECTIVE: Changes in the cortisol diurnal rhythm have been found in neuropsychiatric diseases, including anxiety and depression. The aim of this study was to investigate the reliability and reproducibility of cortisol diurnal rhythm in healthy males, through determination of the inter- and intrasubject variability, to facilitate evaluation of this biomarker for drug target engagement. MATERIALS AND METHODS: This open-label, 2-period study design evaluated serum cortisol release over a 24-hour period in 18 healthy males. A cosinor model was used to model the cortisol diurnal rhythm, and the inter- and intrasubject coefficients of variation (CVs) were calculated across the 2 periods. RESULTS: Three significant cortisol concentration peaks were observed at ~7 AM, 1 PM, and 7 PM. The intersubject CVs (%) for the amplitude, acrophase, and midline estimating statistic of rhythm (MESOR) were 18.2, 19.3, and 16.8, respectively. The intrasubject CVs (%) were 11.2, 7.6, and 6.9, respectively. The inter- and intrasubject CVs (%) for the lunch-induced 1 PM peak and the >dinner-induced 7 PM peak were 22.1, 17.3, 44.7, and 22.1 respectively. CONCLUSIONS: Assessment of serum cortisol diurnal rhythm suggests that the amplitude, acrophase, and MESOR, but not the meal-induced peaks, have the potential to be a reliable biomarker in drug development targeting the hypothalamic-pituitary-adrenocortical (HPA) axis.

Modeling and simulations to confirm a controlled hypoglycemic stress test in healthy subjects is not associated with clinically significant QT prolongations.

OBJECTIVES: A modified insulin tolerance test (ITT) can be used to simulate a physiological stress state through the induction of controlled hypoglycemia in healthy volunteers. This allows for evaluation of hypothalamic-pituitary-adrenocortical axis response to stress via a surge in cortical release. However, a consequence of severe, prolonged hypoglycemia is QT interval prolongation. The aim of this analysis was to confirm that blood glucose lowering to 60 mg/dL (previously identified as adequate for inducing stress) has low risk of inducing clinically significant QT prolongation. MATERIALS AND METHODS: Continuous ECG monitoring was conducted as a planned sub study of an open-label, 2-period study involving 18 healthy male subjects. The QTcF response to hypoglycemia was measured over 2 identical periods, ~ 7 days apart. RESULTS: An indirect- response model adequately described the pharmacological relationship between blood glucose and QTcF intervals over the time-course of the ITT. The model correctly identified the steep glucose-QT relationship as an on-off response with a large Hill coefficient of 59 and the threshold glucose, EC50, as ~ 57 mg/dL with narrow between-subject variability of 10%. Simulated QTcF profiles over the course of an ITT did not demonstrate any QTcF interval changes of clinical concern, defined as QTcF observation > 500 ms, if hypoglycemia did not reach below 60 mg/dL. The statistical prediction that the chance of a mean QTcF observation > 500 ms was < 0.0001. CONCLUSIONS: Results support that an ITT maintained at or above 60 mg/dL is unlikely to cause QT prolongation in healthy volunteers and does not warrant continuous ECG monitoring in this group of subjects.

Practical Applications of a Nausea and Vomiting Model in the Clinical Development of Additional Doses of Dulaglutide.

Dulaglutide 3.0 and 4.5 mg weekly doses were approved for additional glycemic control in adult patients with type 2 diabetes inadequately controlled with metformin and 0.75 or 1.5 mg weekly doses of dulaglutide. Effects such as nausea and vomiting are commonly reported with dulaglutide and other glucagon-like peptide-1 receptor agonist therapies. Based on a pharmacokinetic/pharmacodynamic model-informed approach, a stepwise dose-escalation scheme with 4-week intervals between dose increments was suggested to mitigate gastrointestinal events for dulaglutide. These gastrointestinal events are dose dependent and attenuate over time with repeated dosing. A Markov chain Monte Carlo pharmacokinetic/pharmacodynamic joint model was developed using AWARD-11 data (N = 1842) to optimize dulaglutide dose escalation to 3.0 and 4.5 mg to mitigate gastrointestinal events. Model simulations evaluated probabilities of nausea and vomiting events for various dosing scenarios in patients needing higher doses for additional glycemic control. The model indicated that patients may dose escalate from 1.5 to 3.0 mg, then 4.5 mg weekly after at least 4 weeks on each dose. No clinically meaningful differences in nausea or vomiting events were expected when patients escalated to 3.0 or 4.5 mg following initiation at 0.75 or 1.5 mg dulaglutide. Based on the findings of this model, a minimum 4-week duration at each dose before escalation was appropriate to reduce gastrointestinal events of dulaglutide, consistent with observed gastrointestinal events data from the AWARD-11 study and supporting the currently recommended dose-escalation regimen of dulaglutide doses of 3.0 and 4.5 mg for additional glycemic control.

Pharmacokinetics, Pharmacodynamics, and Safety of Dulaglutide After Single or Multiple Doses in Chinese Healthy Subjects and Patients with T2DM: A Randomized, Placebo-Controlled, Phase I Study.

INTRODUCTION: This study evaluated the pharmacokinetics, pharmacodynamics, and safety of a single dulaglutide dose in Chinese healthy subjects and of multiple dulaglutide doses in Chinese patients with type 2 diabetes mellitus (T2DM). METHODS: This two-part, double-blind, placebo-controlled study included 16 healthy subjects randomized to receive a single dose of placebo and two of three dulaglutide doses (0.5 mg, 0.75 mg, or 1.5 mg) in three treatment periods, and 42 patients with T2DM randomized to receive placebo or one of the three dulaglutide doses once weekly for 4 weeks. Pharmacokinetics and safety parameters were assessed in all participants, and pharmacodynamics effects were investigated in patients with T2DM. RESULTS: Following a single-dose administration of 0.5 mg, 0.75 mg, or 1.5 mg dulaglutide in healthy subjects, geometric mean maximum concentrations (Cmax) were 29.4, 44.2, and 81.5 ng/mL, respectively. Following weekly administration in patients with T2DM for 4 weeks, Cmax were 26.3, 41.4, and 70.2 ng/mL, respectively, with accumulation ratios of 1.33-1.39. Geometric mean for half-life of 4-5 days and median time to Cmax (tmax) of approximately 48 h were observed in both study populations. Dose-proportional increases in drug exposure were observed after both single and multiple dosing. Significant reductions in baseline-corrected fasting glucose and hemoglobin A1c (HbA1c) were observed in patients with T2DM who received dulaglutide 0.75 mg and 1.5 mg. Dulaglutide was well tolerated, with the majority of adverse events being gastrointestinal disorders of mild severity. CONCLUSIONS: Pharmacokinetics, pharmacodynamics, and safety profiles of dulaglutide demonstrated in the present study support a once-weekly dosing regimen in Chinese patients with T2DM. TRIAL REGISTRATION: NCT01667900 (ClinicalTrials.gov).

A Euglycemic Glucose Clamp Study to Evaluate the Bioavailability of LY2963016 Relative to Insulin Glargine in Healthy Chinese Subjects.

Insulin glargine (IGlar) and LY2963016 (LY IGlar) are long-acting insulin analogs with identical primary amino acid sequences. We conducted a randomized, open-label, 2-treatment, 2-period, crossover study in healthy Chinese subjects to evaluate the relative bioavailability of LY IGlar to IGlar and pharmacokinetic (PK) and pharmacodynamic (PD) characteristics of LY IGlar. Subjects (n = 58) were randomized to receive single subcutaneous doses (0.5 U/kg) of LY IGlar and IGlar with a ≥7-day washout period between study treatments. Serum was collected before and up to 24 hours after dosing to assess PK characteristics. PD characteristics were assessed by euglycemic clamp up to 24 hours after dosing. Linear mixed-effects models were used to fit the log-transformed primary PK (maximum observed concentration and area under the concentration-time curve from time 0 to 24 hours) and PD parameters (maximum glucose infusion rate and total amount of glucose infused during clamp period). The geometric least squares means ratios (90% confidence interval) of LY IGlar to IGlar for maximum observed concentration and area under the concentration-time curve from time 0 to 24 hours were 0.961 (0.887-1.04) and 0.941 (0.872-1.01), respectively. The geometric least squares means ratios (90% confidence interval) of LY IGlar to IGlar were 0.91 (0.85-0.98) for maximum glucose infusion rate and 0.89 (0.82-0.97) for total amount of glucose infused during clamp period. LY IGlar demonstrated similarity to IGlar in PK and PD characteristics following single-dose (0.5 U/kg) administration in healthy Chinese subjects.

Distribution of gemcitabine pathway genotypes in ethnic Asians and their association with outcome in non-small cell lung cancer patients.

OBJECTIVE: Pharmacogenetics suggests variants of genes involved in gemcitabine pharmacology could be useful markers for predicting inter-ethnic and inter-patient outcomes from treatment with the agent. Here, we have characterized the distribution of variants of genes involved in gemcitabine pharmacology in ethnic Asian populations and their association with non-small cell lung cancer (NSCLC) patient outcome. METHODS: All genes involved in gemcitabine transport, metabolism and activity were screened for suitable variants for analysis using publications and public databases. By pyrosequencing, the frequency of qualifying variants was characterized from germline DNA of 94 healthy Asian donors and 53 NSCLC patients receiving gemcitabine-based chemotherapy. RESULTS: Significant differences in genotype distribution between Caucasians and Asians were seen at 10/25 (45%) variant loci. In NSCLC patients, CDA+435 C>T variants were associated with response (p=0.026) and time to progression (p=0.016) and SLC28A1+1561 G>A variants were associated with neutropenia (p=0.030) and thrombocytopenia nadir (p=0.037). CONCLUSIONS: Many genotypes in gemcitabine pharmacology vary in their frequency between Caucasians and Asians. CDA+435, and SLC28A1+1561 are worthy of further investigation as potential indicators of patient outcome after gemcitabine treatment.

A pharmacodynamic model for the time course of tumor shrinkage by gemcitabine + carboplatin in non-small cell lung cancer patients.

PURPOSE: This tumor response pharmacodynamic model aims to describe primary lesion shrinkage in non-small cell lung cancer over time and determine if concentration-based exposure metrics for gemcitabine or that of its metabolites, 2',2'-difluorodeoxyuridine or gemcitabine triphosphate, are better than gemcitabine dose for prediction of individual response. EXPERIMENTAL DESIGN: Gemcitabine was given thrice weekly on days 1 and 8 in combination with carboplatin, which was given only on day 1 of every cycle. Gemcitabine amount in the body and area under the concentration-time curves of plasma gemcitabine, 2',2'-difluorodeoxyuridine, and intracellular gemcitabine triphosphate in white cells were compared to determine which best describes tumor shrinkage over time. Tumor growth kinetics were described using a Gompertz-like model. RESULTS: The apparent half-life for the effect of gemcitabine was 7.67 weeks. The tumor turnover time constant was 21.8 week.cm. Baseline tumor size and gemcitabine amount in the body to attain 50% of tumor shrinkage were estimated to be 6.66 cm and 10,600 mg. There was no evidence of relapse during treatment. CONCLUSIONS: Concentration-based exposure metrics for gemcitabine and its metabolites were no better than gemcitabine amount in predicting tumor shrinkage in primary lung cancer lesions. Gemcitabine dose-based models did marginally better than treatment-based models that ignored doses of drug administered to patients. Modeling tumor shrinkage in primary lesions can be used to quantify individual sensitivity and response to antitumor effects of anticancer drugs.

Toward Better Understanding of Insulin Therapy by Translation of a PK-PD Model to Visualize Insulin and Glucose Action Profiles.

Insulin replacement therapy is a fundamental treatment for glycemic control for managing diabetes. The engineering of insulin analogues has focused on providing formulations with action profiles that mimic as closely as possible the pattern of physiological insulin secretion that normally occurs in healthy individuals without diabetes. Hence, it may be helpful to practitioners to visualize insulin concentration profiles and associated glucose action profiles. Expanding on a previous analysis that established a pharmacokinetic (PK) model to describe typical profiles of insulin concentration over time following subcutaneous administration of various insulin formulations, the goal of the current analysis was to link the PK model to an integrated glucose-insulin (IGI) systems pharmacology model. After the pharmacokinetic-pharmacodynamic (PK-PD) model was qualified by comparing model predictions with clinical observations, it was used to project insulin (PK) and glucose (PD) profiles of common insulin regimens and dosing scenarios. The application of the PK-PD model to clinical scenarios was further explored by incorporating the impact of several hypothetical factors together, such as changing the timing or frequency of administration in a multiple-dosing regimen over the course of a day, administration of more than 1 insulin formulation, or insulin dosing adjusted for carbohydrates in meals. Visualizations of insulin and glucose profiles for commonly prescribed regimens could be rapidly generated by implementing the linked subcutaneous insulin PK-IGI model using the R statistical program (version 3.4.4) and a contemporary web-based interface, which could enhance clinical education on glycemic control with insulin therapy.

Physiologically-Based Pharmacokinetic Modeling of Atorvastatin Incorporating Delayed Gastric Emptying and Acid-to-Lactone Conversion.

The drug-drug interaction profile of atorvastatin confirms that disposition is determined by cytochrome P450 (CYP) 3A4 and organic anion transporting polypeptides (OATPs). Drugs that affect gastric emptying, including dulaglutide, also affect atorvastatin pharmacokinetics (PK). Atorvastatin is a carboxylic acid that exists in equilibrium with a lactone form in vivo. The purpose of this work was to assess gastric acid-mediated lactone equilibration of atorvastatin and incorporate this into a physiologically-based PK (PBPK) model to describe atorvastatin acid, lactone, and their major metabolites. In vitro acid-to-lactone conversion was assessed in simulated gastric fluid and included in the model. The PBPK model was verified with in vivo data including CYP3A4 and OATP inhibition studies. Altering the gastric acid-lactone equilibrium reproduced the change in atorvastatin PK observed with dulaglutide. The model emphasizes the need to include gastric acid-lactone conversion and all major atorvastatin-related species for the prediction of atorvastatin PK.

A phase I study of docetaxel with ketoconazole modulation in patients with advanced cancers.

PURPOSE: The aims were to determine the maximum tolerable dose (MTD) of docetaxel with CYP3A inhibition by ketoconazole, and to correlate the pharmacokinetics of docetaxel with midazolam phenotyping of CYP3A activity. METHODS: Forty-one patients with refractory metastatic cancers were treated with an escalating dose of intravenous docetaxel once in every 3 week of 10 mg/m(2), concurrently with oral ketoconazole 200 mg twice daily for 3 days starting 2 days before the administration of docetaxel. Midazolam phenotyping test with ketoconazole modulation was performed before the first cycle of docetaxel. Docetaxel and midazolam pharmacokinetics were compared to our previous study of docetaxel treatment without ketoconazole modulation. RESULTS: Neutropenia was the dose-limiting toxicity. The maximum tolerated dose was 70 mg with mean AUC at 70 mg similar to 75 mg/m(2) of docetaxel without ketoconazole. The plasma clearances of docetaxel and midazolam were reduced by 1.7- and 6-fold, respectively. The variability of midazolam AUC was reduced from 157 to 67%, but variability of docetaxel clearance was not reduced by CYP3A inhibition. Docetaxel clearance correlated with renal function and maximum concentration of ketoconazole, but not midazolam clearance or other variables of hepatic function. CONCLUSION: Fixed dosing was found to be feasible, without increased variability of clearance or neutrophil toxicity compared to BSA-based dosing. With ketoconazole modulation, docetaxel clearance correlated with renal function but not CYP3A phenotype.

Lack of association of single-nucleotide polymorphisms in pregnane X receptor, hepatic nuclear factor 4alpha, and constitutive androstane receptor with docetaxel pharmacokinetics.

PURPOSE: This study aims to describe a population pharmacokinetic model for docetaxel in Asian breast cancer patients and to evaluate the effects of single-nucleotide polymorphisms (SNP) in the cytochrome P450 3A (CYP3A) gene expression regulators, constitutive androstane receptor (CAR), pregnane X receptor (PXR), and hepatic nuclear factor 4alpha (HNF4alpha), on the pharmacokinetics of docetaxel. EXPERIMENTAL DESIGN: Docetaxel was given as an i.v. infusion of 75 mg/m(2) over 1 h to 101 female breast cancer patients. CAR, PXR, and HNF4alpha were comprehensively sequenced. Docetaxel concentrations were measured using a liquid chromatography/tandem mass spectrometry method and its population pharmacokinetic variables, and the covariate effects of clearance predictors were estimated using a nonlinear mixed effects model. RESULTS: Final estimates for docetaxel clearance was 47.1 L/h/70 kg/1.75 m. Between subject variability in docetaxel clearance was 22.5%. Covariates that showed significant association with docetaxel clearance included body size, alpha1 acid glycoprotein and liver function. SNPs identified in the coding regions of CAR and HNF4alpha and 5' untranslated region of PXR in this Asian breast cancer cohort did not seem to improve predictability of docetaxel clearance. CONCLUSIONS: SNPs identified in CYP3A gene expression regulators CAR, HNF4alpha, and PXR in the Asian female breast cancer population do not seem to have any significant effect on the clearance of docetaxel, a CYP3A substrate.

Modeling Pharmacokinetic Profiles of Insulin Regimens to Enhance Understanding of Subcutaneous Insulin Regimens.

Insulin pharmacokinetics following subcutaneous administration were modeled, simulated, and displayed through an interactive and user-friendly interface to illustrate the time course of administered insulins frequently prescribed, providing a simple tool for clinicians through a straightforward visualization of insulin regimens. Pharmacokinetic data of insulin formulations with different onset and duration of action from several clinical studies, including insulin glargine, regular insulin, neutral protamine Hagedorn (NPH), insulin lispro, and premixed preparations of NPH with regular insulin (Mix 70/30), and insulin lispro protamine suspension with insulin lispro (Mix 50/50, Mix 75/25), were used to develop a predictive population pharmacokinetic model of insulins with consideration of factors such as insulin formulation, weight-based dosing, body-weight effect on volume of distribution, and administration time relative to meals, on the insulin time-action profile. The model-predicted insulin profile of each insulin was validated and confirmed to be comparable to observed data via an external validation method. Model-based simulations of clinically relevant insulin-dosing scenarios to cater to specific initial patient and prescribing conditions were then implemented with differential equations using the R statistical program (version 3.2.2). The R package Shiny was subsequently applied to build a web browser interface to execute and visualize the model simulation outputs. The application of insulin pharmacokinetic modeling enabled informative visualization of insulin time-action profiles and provided an efficient and intuitive educational tool to quickly convey and interactively explore many insulin time-action profiles to ease the understanding of insulin formulations in clinical practice.

Dose/Exposure-Response Modeling to Support Dosing Recommendation for Phase III Development of Baricitinib in Patients with Rheumatoid Arthritis.

Baricitinib is an oral inhibitor of Janus kinases (JAKs), selective for JAK1 and 2. It demonstrated dose-dependent efficacy in patients with moderate-to-severe rheumatoid arthritis (RA) in a phase IIb study up to 24 weeks. Population pharmacokinetic/pharmacodynamic (PopPK/PD) models were developed to characterize concentration-time profiles and dose/exposure-response (D/E-R) relationships for the key efficacy (proportion of patients achieving American College of Rheumatology 20%, 50%, or 70% response rate) and safety endpoints (incidence of anemia) for the phase IIb study. The modeling suggested that 4 mg q.d. was likely to offer the optimum risk/benefit balance, whereas 2 mg q.d. had the potential for adequate efficacy. In addition, at the same total daily dose, a twice-daily regimen is not expected to provide an advantage over q.d. dosing for the efficacy or safety endpoints. The model-based simulations formed the rationale for key aspects of dosing, such as dose levels and dosing frequency for phase III development.

A warfarin-dosing model in Asians that uses single-nucleotide polymorphisms in vitamin K epoxide reductase complex and cytochrome P450 2C9.

INTRODUCTION: Because of the unique lack of genetic diversity despite the multiethnicity in the Asian population, we hypothesize that single-nucleotide polymorphisms in cytochrome P450 (CYP) 2C9 (CYP2C9*3) and vitamin K epoxide reductase complex subunit 1 (VKORC1) at position 381, used to infer VKORC1haplotype in combination with demographic factors, can accurately predict warfarin doses. The aims of this study were to derive a pharmacogenetics-based dosing algorithm by use of retrospective information and to validate it through a data-splitting method in a separate cohort of equal size. METHODS: We used 215 records of warfarin patients recruited into a CYP2C9/VKORC1 genotyping study to perform this analysis. Univariate analyses for individual predictors, including age, weight, gender, serum albumin concentration, ethnic group, international normalized ratio, and CYP2C9 and VKORC1 381 genotypes, were conducted to select variables with P < .1 for further inclusion into the multivariate regression analysis. In the final model only predictors reaching a statistical significance of P < .05 were retained. RESULTS: Data from 107 subjects undergoing maintenance warfarin therapy with an international normalized ratio stabilized between 2 and 3 were used to derive the final model, as an exponential function of age, weight, CYP2C9*3 allele, and VKORC1 381 CC and TC genotypes, and this model accounted for 60.2% of the variability in daily warfarin dose requirement. The model was validated in a separate cohort of 108 subjects and showed a mean underestimation of 0.23 +/- 1.21 mg/d. CONCLUSION: Warfarin dose requirements in Asians can be accurately predicted by use of a combination of patient demographics and a simplified genotyping approach for single variants in CYP2C9 and VKORC1.

Population pharmacokinetics of tacrolimus in whole blood and plasma in asian liver transplant patients.

OBJECTIVES: The objectives of this study were to develop population pharmacokinetic models of tacrolimus in an Asian population with whole blood and plasma drug concentration data, to compare the variability of the pharmacokinetic parameters in these two matrices and to search for the main patient characteristics that explain the variability in pharmacokinetic parameters. STUDY DESIGN: Prospective pharmacokinetic assessment followed by model fitting. PATIENTS: Whole blood samples from 31 liver transplant patients in a local hospital receiving oral tacrolimus as part of their immunosuppressive therapy were assessed. Plasma samples from 29 of the 31 patients were also evaluated. Concentrations of tacrolimus in whole blood and plasma were determined by an electrospray high-performance liquid chromatography with tandem mass spectrometry. Two hundred and thirteen whole blood and 157 plasma tacrolimus concentrations were used for building two nonlinear mixed-effects population models to describe the disposition of tacrolimus in whole blood and plasma, respectively. Covariates that were investigated included demographic characteristics, biological markers of liver and renal functions, corticosteroid dose and haematological parameter. RESULTS: A one-compartment model was used to describe the whole blood and plasma concentration-time data of tacrolimus after oral administration. For the whole blood population model, the population estimates of the first-order absorption rate constant (k(a)), apparent clearance based on whole blood concentration after oral administration (CL(B)/F) and apparent volume of distribution based on whole blood concentrations after oral administration (V(d,B)/F) were 2.08h(-1), 14.1 L/h and 217L, respectively. The coefficient of variations (CVs) of interpatient variabilities in CL(B)/F and V(d,B)/F were 65.7% and 63.8%, respectively. Bodyweight, liver and renal function influenced CL(B)/F, while height and haematocrit influenced V(d,B)/F. The residual (unexplained) variability was 34.8%. For the plasma population model, the population estimates of the k(a), apparent clearance based on plasma concentrations after oral administration (CL(P)/F) and apparent volume of distribution based on plasma concentrations after oral administration (V(d,P)/F) were 5.21h(-1), 537 L/h and 563L, respectively. The CVs of interpatient variabilities in CL(P)/F and V(d,P)/F were 96.0% and 105.4%, respectively. Bodyweight was found to influence CL(P)/F, while the erythrocyte-to-plasma concentration ratio influenced V(d,P)/F. The residual (unexplained) variability was 49.8% at the mean plasma concentration of 1.1 ng/mL. CONCLUSIONS: Whole blood and plasma population pharmacokinetic models of tacrolimus in Asian adult and paediatric liver transplant patients were developed using prospective data in a clinical setting. This has identified and quantified sources of interindividual variability in CL(B)/F, V(d,B)/F, CL(P)/F and V(d,P)/F of tacrolimus in Asian liver transplant patients. Information derived from the whole blood population model may subsequently be used by clinicians for dosage individualisation through Bayesian forecasting.

Population exposure-response model to support dosing evaluation of ixekizumab in patients with chronic plaque psoriasis.

Ixekizumab (LY2439821), a humanized immunoglobulin G subclass 4 (IgG4) monoclonal antibody that selectively binds and neutralizes interleukin (IL) 17A has demonstrated efficacy in the treatment of psoriasis. A population pharmacokinetics-pharmacodynamics model was developed using NONMEM 7.2 to describe the temporal relationship between ixekizumab concentrations and absolute Psoriasis Area and Severity Index (PASI) scores from a phase 2 dose-finding study in chronic plaque psoriasis. The objective was to inform dose-selection for further development. The primary endpoint, PASI 75 (75% or greater improvement from baseline PASI score) was then derived from each individual's absolute PASI score. The population pharmacokinetics of ixekizumab was characterized by a two-compartment model, while the exposure-response relationship was characterized using an indirect response model that described the pharmacological effects of ixekizumab and placebo in the form of inhibition of the formation of psoriatic skin lesions. PASI 75 responder status at the Week 12 primary endpoint was found to be a significant covariate on the concentration producing half maximal effect (EC50 ). While the results suggested patient may have different levels of sensitivity to ixekizumab, it is possible that nonresponder patients assigned to lower doses of ixekizumab may potentially become responders to ixekizumab if given doses that yield adequate exposures.

Pharmacokinetics, safety, and tolerability of single- and multiple-dose exenatide once weekly in Chinese patients with type 2 diabetes mellitus.

BACKGROUND: This open-label, single-period study assessed the pharmacokinetics, safety, tolerability, and pharmacodynamics of exenatide once weekly (q.w.), following single and multiple weekly subcutaneous (s.c.) injections in native Chinese patients with type 2 diabetes (T2D). METHODS: Patients (n = 25; mean [±SD] age 51.3 ± 8.2 years; body mass index 25.6 ± 2.4 kg/m(2) ; HbA1c 7.4 ± 1.2%; duration of diabetes 3.1 ± 3.1 years) previously treated with diet modification and exercise alone or incombination with stable metformin doses were enrolled in the study. Twenty-five patients received weekly doses of 2 mg, s.c., exenatide q.w. for 10 weeks, followed by 10 weeks observation. Pharmacokinetic parameters of exenatide, fasting plasma glucose (FPG), HbA1c, and body weight were summarized using descriptive statistics. RESULTS: Steady state plasma exenatide concentrations (299 pg/mL) were attained within 8 weeks. Exenatide q.w. was generally well tolerated, and the majority of adverse events reported were mild in severity. The most frequent study drug-related adverse events were diarrhea and vomiting. Decreases were observed from baseline to 10 weeks in FPG (~3.0 mmol/L), HbA1c (~1.0%), and body weight (~3.8 kg). CONCLUSIONS: This is the first clinical trial of exenatide q.w. in native Chinese patients with T2D. The results suggest that exenatide q.w. has a pharmacokinetic profile in this patient population similar to that observed in other ethnic and racial populations, and appears to be safe and generally well tolerated, with the potential to improve glycemic control and decrease body weight without increasing the risk of hypoglycemia.