Physiologically Based Absorption Modelling to Explore the Formulation and Gastric pH Changes on the Pharmacokinetics of Acalabrutinib

Solid lipid nanoparticles for increased oral bioavailability of acalabrutinib in chronic lymphocytic leukaemia

Acalabrutinib (ACP) is a first-line treatment for chronic lymphocytic leukemia but suffers from poor and variable oral bioavailability due to its pH-dependent solubility, CYP3A4 metabolism, and P-gp efflux. Thus, the objective of this study was to improve the solubility and dissolution behaviour, in turn enhancing bioavailability, by formulating solid lipid nanoparticles (SLNs). ACP loaded SLNs (ACP-SLNs) were prepared via solvent-free hot emulsification followed by a double sonication process. A combination of glyceryl di-behenate and stearyl palmitate along with Tween 80 was used as the lipid phase to dissolve ACP. A 1% w/v Poloxomer188 solution served as the aqueous phase. The optimized ACP-SLNs were spherical in shape and had particle size of 234.7-257.5 nm, PDI of 0.261-0.320 and loading efficiency of 18.70 ± 1.78%. A typical biphasic release pattern was observed from ACP-SLNs in the in vitro dissolution studies under gastrointestinal and plasma pH conditions (> 90% drug release at pH 4.5 ± 0.2, 6.8 ± 0.2 (representing GIT), and 7.4 ± 0.2 (representing plasma) at 8, 16 and 24 h, respectively). The freeze-dried product was stable when stored at 5 °C for over 6 months. Compared with the bulk drug suspension, the ACP-SLNs suspension resulted in 2.29-fold increase in oral bioavailability and more importantly 2.46-fold increase in the distribution of drug to spleen. Additionally, inhibition of lymph production and flow by administering cycloheximide resulted in 46.01% decrease in the overall absorption of ACP-SLNs, indicating the significance of lymphatic uptake process in the oral absorption of ACP-SLNs.

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.

Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective

Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model. This present article attempts to summarize current understanding of various dissolution models and data inputs in PBBM software's and aims to discuss practical challenges and ways to overcome such scenarios. Different approaches to incorporate dissolution data for immediate, modified, and delayed release formulations are discussed in detail. Common challenges faced during fitting of z-factor are discussed along with novel approach of dissolution data incorporation using P-PSD model. Ways to incorporate dissolution data for MR formulations using Weibull and IVIVR approaches were portrayed with examples. Strategies to incorporate dissolution data for DR formulations was depicted along with practical aspects. Approaches to generate virtual dissolution profiles, using Weibull function, DDDPlus, and time scaling for defining dissolution safe space, and strategies to generate virtual dissolution profiles for justifying single and multiple dissolution specifications were discussed. Finally, novel ways to integrate dissolution data for complex products such as liposomes, data from complex dissolution systems, importance of precipitation, and bio-predictive ability of QC media for evaluation of CBA's impact were discussed. Overall, this article aims to provide an easy guide for biopharmaceutics modeling scientist to integrate dissolution data effectively into PBBM models.