Population pharmacokinetics of a novel PCSK9 antisense oligonucleotide.

AIMS: The aim of this study was to characterize the population pharmacokinetics of AZD8233, an antisense oligonucleotide (ASO) that targets the PCSK9 transcript to reduce hepatocyte PCSK9 protein production and plasma levels. AZD8233 utilizes generation 2.5 S-constrained ethyl motif (cET) chemistry and is conjugated to a triantennary N-acetylgalactosamine (GalNAc3) ligand for targeted hepatocyte uptake. METHODS: A non-linear mixed-effect modelling approach utilizing NONMEM software was applied to AZD8233 concentration-time data from 3416 samples in 219 participants from four phase 1-2 studies, one in healthy volunteers (NCT03593785) and three in patients with dyslipidaemia (NCT04155645, NCT04641299 and NCT04823611). RESULTS: The final model described the AZD8233 plasma concentration-time profile from four phase 1-2 studies in healthy volunteers or participants with dyslipidaemia, covering a dose range of 4 to 120 mg. The pharmacokinetics of AZD8233 were adequately described by a two-compartment model with first-order absorption. The supra-proportional increase in maximum plasma concentration (Cmax) across the observed dose range was described by non-linear Michaelis-Menten elimination (maximum elimination rate, 9.9 mg/h [12% relative standard error]; concentration yielding half-maximal elimination rate, 4.8 mg/L [18% relative standard error]). Body weight, sex, estimated glomerular filtration rate and disease status (healthy participant vs. patient with dyslipidaemia) were identified as factors affecting exposure to AZD8233. CONCLUSIONS: Covariate analysis showed body weight to be the main factor affecting exposure to AZD8233, which largely explained the higher Cmax observed in the Asian population relative to non-Asians.

Selumetinib in Japanese pediatric patients with neurofibromatosis type 1 and symptomatic, inoperable plexiform neurofibromas: An open-label, phase I study.

Background: Plexiform neurofibromas (PN) are a manifestation of neurofibromatosis type 1 (NF1) that may cause morbidity and impact health-related quality of life (HRQoL). Selumetinib (ARRY-142886, AZD6244) is an orally available, selective, mitogen-activated protein kinase kinase 1/2 inhibitor approved for children with NF1 and symptomatic, inoperable PN in regions including the USA (aged ≥2 years), EU (≥3 years), and Japan (≥3 years). This open-label, single-arm, phase I study evaluated selumetinib in Japanese children with NF1 and symptomatic, inoperable PN. Methods: Eligible patients (aged 3-18 years) received oral selumetinib (25 mg/m2 twice daily) continuously in 28-day cycles in a fasted state. Primary objectives were safety and tolerability. Secondary objectives included pharmacokinetics, efficacy, PN-related morbidities, and HRQoL. Results: Twelve patients (median age 13.3 years) were enrolled, received ≥1 selumetinib dose (data cutoff: cycle 13 day 1) with median follow-up of 11.5 months. All patients had baseline PN-related morbidities, most commonly disfigurement (91.7%) and pain (58.3%). Most frequently reported any-grade adverse events were dermatologic and gastrointestinal. Objective response rate was 33.3%; median duration of response was not reached. Most patients (83.3%) had target PN volume reduction versus baseline. No patients reported worsening of PN-related morbidities. Selumetinib was rapidly absorbed with moderate-to-high inter-patient variability in maximum plasma concentration and area under the concentration-time curve from time 0-6 hours. Conclusions: Consistent with results of the phase II SPRINT trial, 25 mg/m2 selumetinib twice daily was well tolerated with a manageable safety profile in Japanese children with NF1 and symptomatic, inoperable PN.

[Andexanet alfa (ONDEXXYA® for Intravenous Injection 200†mg), a reversal agent for direct factor Xa inhibitors: pharmacological characteristics and clinical evidence].

Andexanet alfa is a modified recombinant human factor Xa (FXa) that was designed to serve as a binding target for FXa inhibitors as decoy protein. It sequesters FXa inhibitors from binding to endogenous FXa, thereby reversing anticoagulant effect of FXa inhibitors. Andexanet alfa has been approved in March 2022 in Japan for patients with life-threatening or uncontrolled bleeding while on treatment with a FXa inhibitor, apixaban, rivaroxaban, or edoxaban tosilate hydrate. It is administered via two dosing regimens, based on the type of FXa inhibitor, dose, and time since the last dose. In nonclinical studies, andexanet alfa significantly inhibited bleeding induced by FXa inhibitors in animal bleeding models. In the development for Japanese patients, the following two clinical studies have been conducted to confirm the efficacy and safety. First, safety and the reversal effect of andexanet alfa on the FXa inhibitor-mediated anticoagulant activity in healthy adults were confirmed in the overseas phase 2 study including Japanese subjects. Next, the reversal effect of andexanet alfa on the anticoagulation activity and the hemostasis were demonstrated in patients with acute major bleeding while on FXa inhibitor treatment in the global phase 3b/4 study (ANNEXA-4 study). The subgroup analysis of Japanese population showed that the efficacy and safety results were consistent with those of overall population. Andexanet alfa is the first approved reversal agent for FXa inhibitors in Japan and is expected to contribute to the improvement of prognosis in patients with fatal and/or uncontrolled bleeding by timely reversing anticoagulant effect of FXa inhibitors.

Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information.

The contribution ratio of metabolic enzymes such as cytochrome P450 to in vivo clearance (fraction metabolized: fm) is a pharmacokinetic index that is particularly important for the quantitative evaluation of drug-drug interactions. Since obtaining experimental in vivo fm values is challenging, those derived from in vitro experiments have often been used alternatively. This study aimed to explore the possibility of constructing machine learning models for predicting in vivo fm using chemical structure information alone. We collected in vivo fm values and chemical structures of 319 compounds from a public database with careful manual curation and constructed predictive models using several machine learning methods. The results showed that in vivo fm values can be obtained from structural information alone with a performance comparable to that based on in vitro experimental values and that the prediction accuracy for the compounds involved in CYP induction or inhibition is significantly higher than that by using in vitro values. Our new approach to predicting in vivo fm values in the early stages of drug discovery should help improve the efficiency of the drug optimization process.

Physiologically Based Pharmacokinetic Modelling of Glycopyrronium in Patients With Renal Impairment.

Glycopyrronium bromide, a synthetic anticholinergic agent used to treat patients with chronic obstructive pulmonary disease (COPD), is eliminated from the body by renal excretion and therefore systemic exposure is expected to be increased in patients with decreasing renal function. Despite enrollment of patients with decreasing renal function to evaluate the impact of renal impairment on the pharmacokinetics of glycopyrronium in clinical studies, no patients with severe renal impairment were included. A physiologically based pharmacokinetic (PBPK) model was developed in patients with COPD with normal renal function and used to predict systemic exposure of glycopyrronium in patients with severe renal impairment. The model accurately predicted plasma concentration-time profiles in patients with normal renal function, and mild and moderate renal impairment; the predicted and observed AUC and Cmax in these populations were similar. Compared to patients with normal renal function, a 1.20-, 1.45-, and 1.59-fold increase AUC was predicted in patients with mild, moderate, and severe renal impairment, respectively, suggesting dose adjustment is not necessary in patients with renal impairment. In conclusion, PBPK models, verified with clinical study data from patients with normal renal function, can potentially be used to predict the pharmacokinetics and recommended dose adjustment for patients with renal impairment.

Population pharmacokinetic analysis of esomeprazole in Japanese subjects with various CYP2C19 phenotypes.

WHAT IS KNOWN AND OBJECTIVE: Esomeprazole, the S-isomer of omeprazole, is a proton pump inhibitor which has been approved by over 125 countries, also known as NEXIUM® . Esomeprazole was developed to provide further improvement on efficacy for acid-related diseases with higher systemic bioavailability due to the less first-pass metabolism and lower plasma clearance. Esomeprazole is primarily metabolized by CYP2C19. Approximately <1% of Caucasians and 5%-10% of Asians have absent CYP2C19 enzyme activity. Although the influence of various CYP2C19 phenotypes on esomeprazole pharmacokinetics has been studied, this is the first report in the Japanese population where 27 low CYP2C19 metabolizers were included. METHODS: In this study, a population PK model describing the PK of esomeprazole was developed to understand the difference of CYP2C19 phenotypes on clearance in the Japanese population. The model quantitatively assessed the influence of CYP2C19 phenotype on esomeprazole PK in healthy Japanese male subjects after receiving repeated oral dosing. The inhibition mechanism of esomeprazole on CYP2C19 activity was also included in the model. RESULTS AND DISCUSSION: CYP2C19 phenotype and dose were found as statistically significant covariates on esomeprazole clearance. The apparent clearance at 10-mg dose was 17.32, 9.77 and 7.37 (L/h) for homozygous extensive metabolizer, heterozygous extensive metabolizer and poor metabolizer subjects, respectively. And the apparent clearance decreased as dose increased. WHAT IS NEW AND CONCLUSION: The established population PK model well described the esomeprazole PK and model-predicted esomeprazole PK was in good agreement with external clinical data, suggesting the robustness and applicability of the current model for predicting esomeprazole PK.

Optimal designs for regional bridging studies using the Bayesian power prior method.

As described in the ICH E5 guidelines, a bridging study is an additional study executed in a new geographical region or subpopulation to link or "build a bridge" from global clinical trial outcomes to the new region. The regulatory and scientific goals of a bridging study is to evaluate potential subpopulation differences while minimizing duplication of studies and meeting unmet medical needs expeditiously. Use of historical data (borrowing) from global studies is an attractive approach to meet these conflicting goals. Here, we propose a practical and relevant approach to guide the optimal borrowing rate (percent of subjects in earlier studies) and the number of subjects in the new regional bridging study. We address the limitations in global/regional exchangeability through use of a Bayesian power prior method and then optimize bridging study design with a return on investment viewpoint. The method is demonstrated using clinical data from global and Japanese trials in dapagliflozin for type 2 diabetes.

Physiologically based pharmacokinetic modeling to predict exposures in healthy Japanese subjects with different CYP2C19 phenotypes: Esomeprazole case study
.

PURPOSE: The objective of this study was to improve the predictive performance of cytochrome P450 (CYP) 2C19 substrates in Japanese subjects using physiologically based pharmacokinetic (PBPK) modeling. MATERIALS AND METHODS: Esomeprazole, a CYP2C19 substrate, was selected as a test compound, and the Simcyp simulator was used for pharmacokinetic prediction. The compound file of esomeprazole model developed in healthy Caucasian subjects was applied directly. The population file "Sim-Japanese" in Simcyp was adopted to predict esomeprazole pharmacokinetics in Japanese, while CYP2C19 enzyme abundances in the liver and the gastrointestinal tract for homozygous extensive metabolizers (homo EMs), heterozygous extensive metabolizers (hetero EMs), and poor metabolizers (PMs) were adjusted to be the same as in Caucasians. RESULTS: The PBPK model predicted esomeprazole exposure after 10-, 20-, and 40-mg doses in Japanese subjects within 1.5-fold of observed values in all three -CYP2C19 phenotypes. The reported concentration-time profiles were mostly well-captured within the 95% prediction intervals. CONCLUSION: By adjusting CYP2C19 enzyme abundances levels in the Japanese population, the systemic exposure of esomeprazole in Japanese subjects can be reasonably extrapolated using a PBPK model developed in Caucasian subjects. This analysis serves as a case application for assessing the predictive performance of CYP2C19 substrate in Japanese subjects by using PBPK modeling approach.

Assessing pharmacokinetic differences in Caucasian and East Asian (Japanese, Chinese and Korean) populations driven by CYP2C19 polymorphism using physiologically-based pharmacokinetic modelling.

Understanding the influence of ethnicity on drug exposure is key to patient safety and could minimize repetitive clinical studies. This analysis aimed to evaluate the ability of physiologically-based pharmacokinetic modelling to predict exposure of CYP2C19 substrates (lansoprazole, (es)citalopram, voriconazole) across Caucasian and East Asian populations. CYP2C19 abundance levels in Japanese and Chinese populations have been re-assessed based on clinical evidence. Model performance in each population was evaluated by predicted-over-observed AUC ratios and comparison of observed data with simulated plasma concentration profiles. Exposures in 84.4% (76 out of 90) of the clinical studies were predicted within 1.5-fold of observed values. The reported concentration-time profiles were well-captured within the 90% prediction intervals. With specified CYP2C19 phenotype, PBPK modelling is capable to predict systemic exposure of drugs largely metabolized by CYP2C19 in different ethnic populations. This study demonstrated PBPK modelling can be applied to assess genotype-dependent exposure difference across ethnicities.

Gefitinib exposure and occurrence of interstitial lung disease in Japanese patients with non-small-cell lung cancer.

PURPOSE: A prospective, multicenter, large-scale cohort with a nested case-control study (NCT00252759) was conducted to identify and quantify risk factors for interstitial lung disease (ILD) in Japanese patients with non-small-cell lung cancer who received gefitinib. This study reports the association between gefitinib exposure and the occurrence of ILD. METHODS: A total of 1891 gefitinib plasma concentrations from 336 patients were measured after first dose, at steady state, and at time of ILD occurrence. Influences of demographic and pathophysiological factors on pharmacokinetics were investigated by non-linear mixed-effect modeling. The exposure to gefitinib was compared between patients without and with ILD occurrence to explore risks associated with gefitinib-induced ILD. Intra-patient comparison of exposure was also conducted between times at ILD development and normal states. RESULTS: In the population pharmacokinetic analysis for gefitinib, α1-acid glycoprotein (AGP), age, body weight, and concomitant use of cytochrome P450 3A4 inducers were significant covariates on oral clearance (CL/F). AGP and body weight were also identified as factors affecting the volume of distribution. CL/F was significantly lower at the time of ILD occurrence than normal states. Patients who developed ILD tended to show higher exposure to gefitinib than those without ILD; however, these differences were not statistically significant. On the other hand, exposure at the time of ILD occurrence was significantly elevated compared to the time of normal state within the same patients. CONCLUSIONS: Significant elevation of exposure of gefitinib was observed at the time of ILD occurrence, suggesting reduction of CL/F could be associated with ILD-induced AGP elevation. Increase in exposure of gefitinib is unlikely to be a robust predictor of ILD and does not warrant any dose modifications.