Accurate prediction of the in vivo biopharmaceutical performance of oral drug formulations is critical to efficient drug development. Traditionally, in vitro evaluation of oral drug formulations has focused on disintegration and dissolution testing for quality control (QC) purposes. The connection with in vivo biopharmaceutical performance has often been ignored. More recently, the switch to assessing drug products in a more biorelevant and mechanistic manner has advanced the understanding of drug formulation behavior. Notwithstanding this evolution, predicting the in vivo biopharmaceutical performance of formulations that rely on complex intraluminal processes (e.g. solubilization, supersaturation, precipitation…) remains extremely challenging. Concomitantly, the increasing demand for complex formulations to overcome low drug solubility or to control drug release rates urges the development of new in vitro tools. Development and optimizing innovative, predictive Oral Biopharmaceutical Tools is the main target of the OrBiTo project within the Innovative Medicines Initiative (IMI) framework. A combination of physico-chemical measurements, in vitro tests, in vivo methods, and physiology-based pharmacokinetic modeling is expected to create a unique knowledge platform, enabling the bottlenecks in drug development to be removed and the whole process of drug development to become more efficient. As part of the basis for the OrBiTo project, this review summarizes the current status of predictive in vitro assessment tools for formulation behavior. Both pharmacopoeia-listed apparatus and more advanced tools are discussed. Special attention is paid to major issues limiting the predictive power of traditional tools, including the simulation of dynamic changes in gastrointestinal conditions, the adequate reproduction of gastrointestinal motility, the simulation of supersaturation and precipitation, and the implementation of the solubility-permeability interplay. It is anticipated that the innovative in vitro biopharmaceutical tools arising from the OrBiTo project will lead to improved predictions for in vivo behavior of drug formulations in the GI tract.
Rivaroxaban, an oral, direct factor Xa inhibitor, has a dual mode of elimination in humans, with two-thirds metabolized by the liver and one-third renally excreted unchanged. P-glycoprotein (P-gp) is known to be involved in the absorption, distribution, and excretion of drugs. To investigate whether rivaroxaban is a substrate of P-gp, the bidirectional flux of rivaroxaban across Caco-2, wild-type, and P-gp-overexpressing LLC-PK1 cells was investigated. Furthermore, the inhibitory effect of rivaroxaban toward P-gp was determined. Rivaroxaban exhibited high permeability and polarized transport across Caco-2 cells. Rivaroxaban was shown to be a substrate for, but not an inhibitor of, P-gp. Of a set of potential P-gp inhibitors, ketoconazole and ritonavir, but not clarithromycin or erythromycin, inhibited Pgp-mediated transport of rivaroxaban, with half-maximal inhibitory concentration values in the range of therapeutic plasma concentrations. These findings are in line with observed area under the plasma concentration-time curve increases in clinical drug-drug interaction studies indicating a possible involvement of P-gp in the distribution and excretion of rivaroxaban. In vivo studies in wild-type and P-gp double-knockout mice demonstrated that the impact of P-gp alone on the pharmacokinetics of rivaroxaban is minor. However, in P-gp double-knockout mice, a slight increase in brain concentrations and decreased excretion into the gastrointestinal tract were observed compared with wild-type mice. These studies also demonstrated that brain penetration of rivaroxaban is fairly low. In addition to P-gp, a further transport protein might be involved in the secretion of rivaroxaban.
Data suggest different modes of substrate and inhibitor binding to Bcrp. In order to not overlook potential drug-drug interactions when testing drug candidates for inhibitory potential towards Bcrp, distinct Bcrp probe substrates should be used.
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