Prediction of plasma profiles of a weakly basic drug after administration of omeprazole using PBPK modeling

The Global Bioequivalence Harmonisation Initiative (GBHI): Report of the sixth international EUFEPS/PQRI conference

At the 6th International Conference of the Global Bioequivalence Harmonisation Initiative (GBHI), co-organised by the European Federation of Pharmaceutical Sciences (EUFEPS) and the Product Quality Research Institute (PQRI), critical bioequivalence (BE) topics were discussed by pharmaceutical scientists from academia, industry and regulatory agencies, revealing the following main conclusions: 1) Physiologically based pharmacokinetic/biopharmaceutic modelling (PBPK/PBBM) for solid oral drugs: PBPK/PBBM gains increasing recognition for generic drug development, e.g. waivers of fed studies and drug interaction studies with proton pump inhibitors. However, especially for complex formulations containing low-solubility compounds, more data are needed for modelling-based conclusion regarding BE in fed state. 2) Narrow therapeutic index drugs: A progress towards harmonisation of BE criteria from US-FDA and EMA speakers was made as there is consensus in the usefulness of applying a mixed scale for BE acceptance range depending on variability, via either fully or partially replicated design. Differences still remain regarding variability comparison and the selection of regulatory constant (0.760 vs. 1.05361). All parties confirmed the importance of controlling type-I error. 3) Single- vs. multiple-dose studies for BE demonstration of modified-release (MR) products: To circumvent multiple-dose studies, model-informed approaches were discussed based on real-life data, e.g. to simulate steady-state profiles from single-dose data. To reduce the burden in patient trials for long-acting injectables promising modelling approaches were presented, extrapolating from incomplete steady-state scenarios. 4) BE demonstration for additional dose strengths of solid oral MR products: For multiple-unit dosage forms where strengths differ in number of units only, testing BE of the highest dose was considered sufficient. In addition, there was some consensus that, whenever extrapolation from one strength to the others is not easily established, the "bracket-approach" of the EMA focusing on the intake conditions in the label claim (fasted or fed), can help mitigating risks without adding significant cost and effort. 5) Partial AUC for BE demonstration: Clinical relevance is key to decide on the relevant PK metrics for BE assessment whenever possible. There was consensus that the BE criteria and evaluation strategy may be best specified in product-specific guidances - preferably with international harmonisation. 6) BE of orally inhaled drug products (OIDPs): The "weight-of-evidence" approach of US-FDA and the stepwise approach of EMA largely differ. The auditorium was in favour of combining data on in-vitro characteristics and PK exposure. For prediction of comparable efficacy of two OIDPs, there is good trust in PK exposure data whenever they present concentrations being absorbed via the lung. GBHI has a strong role in scientifically supporting official harmonisation efforts including the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use since the first conference in 2015.

Physiologically based pharmacokinetic modeling of tapentadol in children to support pediatric dose selection

Tapentadol, an effective opioid analgesic, is indicated for the treatment of pain that cannot be managed with non-opioid medications. This study employed a physiologically based pharmacokinetic (PBPK) model to characterize the disposition of tapentadol in children across different age groups and to refine pediatric dosing strategies. Initially, an adult PBPK model was developed using the 'middle-out' strategy, which was then adjusted by scaling anatomical and physiological parameters to apply it to pediatric populations. The model's precision was confirmed by comparing the simulated plasma concentrations in a virtual population with empirical data. Utilizing this model, we translated dosages from adults to children and assessed weight-adjusted dosages for children aged 2 to 18 years and those under 2 years. The ratios of predicted to observed pharmacokinetic (PK) parameters for adult tapentadol ranged from 0.80 to 1.40 with the pediatric population's predictive mean absolute prediction error (MAPE) being less than 0.45. Based on model validation, we have established the following fixed-dose regimen for tapentadol oral solution for children across various age groups: 2.5 mg for 0-1 month, 3.5 mg for 1-3 months, 5 mg for 3-6 months, 8.5 mg for 6 months to 1 year, 13 mg for 1-2 years, 20 mg for 2-6 years, 35 mg for 6-12 years, and 60 mg for 12-18 years. The results of this study may offer guidance for the clinical investigation of tapentadol in pediatric patients and for developing PBPK models for drugs undergoing multiple metabolic pathways.

Leveraging Omeprazole PBPK/PD Modeling to Inform Drug-Drug Interactions and Specific Recommendations for Pediatric Labeling

Background/Objectives: Omeprazole is widely used for managing gastrointestinal disorders like GERD, ulcers, and H. pylori infections. However, its use in pediatrics presents challenges due to drug interactions (DDIs), metabolic variability, and safety concerns. Omeprazole's pharmacokinetics (PK), primarily influenced by CYP2C19 metabolism, is affected by ontogenetic changes in enzyme expression, complicating dosing in children. Methods: This study aimed to develop and validate a physiologically based pharmacokinetic (PBPK) model for omeprazole and its metabolites to predict age-related variations in metabolism and response. Results: The PBPK model successfully predicted exposure to parent and metabolites in adults and pediatrics, incorporating competitive and mechanism-based inhibition of CYP2C19 and CYP3A4 by omeprazole and its metabolites. By accounting for age-dependent metabolic pathways, the model enabled priori predictions of omeprazole exposure in different age groups. Linking PK to the pharmacodynamics (PD) model, we described the impact of age-related physiological changes on intragastric pH, the primary outcome for proton pump inhibitors efficacy. Conclusions: The PBPK-PD model allowed for the virtual testing of dosing scenarios, providing an alternative to clinical studies in pediatrics where traditional DDI studies are challenging. This approach offers valuable insights for accurate dosing recommendations in pediatrics, accounting for age-dependent variability in metabolism, and underscores the potential of PBPK modeling in guiding pediatric drug development.

Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report

This Article shares the proceedings from the August 29th, 2023 (day 1) workshop "Physiologically Based Biopharmaceutics Modeling (PBBM) Best Practices for Drug Product Quality: Regulatory and Industry Perspectives". The focus of the day was on model parametrization; regulatory authorities from Canada, the USA, Sweden, Belgium, and Norway presented their views on PBBM case studies submitted by industry members of the IQ consortium. The presentations shared key questions raised by regulators during the mock exercise, regarding the PBBM input parameters and their justification. These presentations also shed light on the regulatory assessment processes, content, and format requirements for future PBBM regulatory submissions. In addition, the day 1 breakout presentations and discussions gave the opportunity to share best practices around key questions faced by scientists when parametrizing PBBMs. Key questions included measurement and integration of drug substance solubility for crystalline vs amorphous drugs; impact of excipients on apparent drug solubility/supersaturation; modeling of acid-base reactions at the surface of the dissolving drug; choice of dissolution methods according to the formulation and drug properties with a view to predict the in vivo performance; mechanistic modeling of in vitro product dissolution data to predict in vivo dissolution for various patient populations/species; best practices for characterization of drug precipitation from simple or complex formulations and integration of the data in PBBM; incorporation of drug permeability into PBBM for various routes of uptake and prediction of permeability along the GI tract.

Assessing and mitigating pH-mediated DDI risks in drug development - formulation approaches and clinical considerations

pH-mediated drug-drug interactions (DDI) is a prevalent DDI in drug development, especially for weak base compounds with highly pH-dependent solubility. FDA has released a guidance on the evaluation of pH-mediated DDI assessments using in vitro testing and clinical studies. Currently, there is no common practice of ways of testing across the academia and industry. The development of biopredictive method and physiologically-based biopharmaceutics modeling (PBBM) approaches to assess acid-reducing agent (ARA)-DDI have been proven with accurate prediction and could decrease drug development burden, inform clinical design and potentially waive clinical studies. Formulation strategies and careful clinical design could help mitigate the pH-mediated DDI to avoid more clinical studies and label restrictions, ultimately benefiting the patient. In this review paper, a detailed introduction on biorelevant dissolution testing, preclinical and clinical study requirement and PBPK modeling approaches to assess ARA-DDI are described. An improved decision tree for pH-mediated DDI is proposed. Potential mitigations including clinical or formulation strategies are discussed.

Physiologically based pharmacokinetic modeling to assess the drug-drug interactions of anaprazole with clarithromycin and amoxicillin in patients undergoing eradication therapy of H. pylori infection

OBJECTIVE

This study aimed to assess the pharmacokinetic (PK) interactions of anaprazole, clarithromycin, and amoxicillin using physiologically based pharmacokinetic (PBPK) models.

METHODS

The PBPK models for anaprazole, clarithromycin, and amoxicillin were constructed using the GastroPlus™ software (Version 9.7) based on the physicochemical data and PK parameters obtained from literature, then were optimized and validated in healthy subjects to predict the plasma concentration-time profiles of these three drugs and assess the predictive performance of each model. According to the analysis of the properties of each drug, the developed and validated models were applied to evaluate potential drug-drug interactions (DDIs) of anaprazole, clarithromycin, and amoxicillin.

RESULTS

The developed PBPK models properly described the pharmacokinetics of anaprazole, clarithromycin, and amoxicillin well, and all predicted PK parameters (Cmax,ss, AUC0-τ,ss) ratios were within 2.0-fold of the observed values. Furthermore, the application of these models to predict the anaprazole-clarithromycin and anaprazole-amoxicillin DDIs demonstrates their good performance, with the predicted DDI Cmax,ss ratios and DDI AUC0-τ,ss ratios within 1.25-fold of the observed values, and all predicted DDI Cmax,ss, and AUC0-τ,ss ratios within 2.0-fold. The simulated results show no need to adjust the dosage when co-administered with anaprazole in patients undergoing eradication therapy of H. pylori infection since the dose remained in the therapeutic range.

CONCLUSION

The whole-body PBPK models of anaprazole, clarithromycin, and amoxicillin were built and qualified, which can predict DDIs that are mediated by gastric pH change and inhibition of metabolic enzymes, providing a mechanistic understanding of the DDIs observed in the clinic of clarithromycin, amoxicillin with anaprazole.

Use of Gastrointestinal Simulator, Mass Transport Analysis, and Absorption Simulation to Investigate the Impact of pH Modifiers in Mitigating Weakly Basic Drugs' Performance Issues Related to Gastric pH: Palbociclib Case Study

It is well known that reduced gastric acidity, for example with concomitant administration of acid reducing agents, can result in variable pharmacokinetics and decreased absorption of weakly basic drugs. It is important to identify the risk of reduced and variable absorption early in development, so that product design options to address the risk can be considered. This article describes the utilization of in vitro and in silico tools to predict the effect of gastric pH, as well as the impact of adding pH modifiers, in mitigating the effect of acid reducing agents on weak base drugs' dissolution and absorption. Palbociclib, a weakly basic drug, was evaluated in low and high gastric pH conditions in a multicompartmental dissolution apparatus referred to as a gastrointestinal simulator (GIS). The GIS permits the testing of pharmaceutical products in a way that better assesses dissolution under physiologically relevant conditions of pH, buffer concentration, formulation additives, and physiological variations including GI pH, buffer concentrations, secretions, stomach emptying rate, residence time in the GI, and aqueous luminal volume. To predict drug dissolution in the GIS, a hierarchical mass transport model was used and validated using in vitro experimental data. Dissolution results were then compared to observed human clinical plasma data with and without proton pump inhibitors using a GastroPlus absorption model to predict palbociclib plasma profiles and pharmacokinetic parameters. The results showed that the in silico model successfully predicted palbociclib dissolution in the GIS under low and high gastric pH conditions with and without pH modifiers. Furthermore, the GIS data coupled with the in silico tools anticipated (1) the reduced palbociclib exposure due to proton pump inhibitor coadministration and (2) the mitigating effect of a pH-modifying agent. This study provides tools to help in the development of orally administered formulations to overcome the effect of elevated gastric pH, especially when formulating with pH modifiers.

Developing Clinically Relevant Dissolution Specifications (CRDSs) for Oral Drug Products: Virtual Webinar Series

A webinar series that was organised by the Academy of Pharmaceutical Sciences Biopharmaceutics focus group in 2021 focused on the challenges of developing clinically relevant dissolution specifications (CRDSs) for oral drug products. Industrial scientists, together with regulatory and academic scientists, came together through a series of six webinars, to discuss progress in the field, emerging trends, and areas for continued collaboration and harmonisation. Each webinar also hosted a Q&A session where participants could discuss the shared topic and information. Although it was clear from the presentations and Q&A sessions that we continue to make progress in the field of CRDSs and the utility/success of PBBM, there is also a need to continue the momentum and dialogue between the industry and regulators. Five key areas were identified which require further discussion and harmonisation.