Biorelevant in vitro Tools and in silico Modeling to Assess pH-Dependent Drug-drug Interactions for Salts of Weak Acids: Case Example Potassium Raltegravir.

BACKGROUND: Early assessment of pH-dependent drug-drug-interactions (DDIs) for salts of poorly soluble weakly acidic compounds offers various advantages for patient safety, the pharmaceutical industry, and regulatory bodies. Biorelevant media and tests reflecting physiological changes during acid-reducing agent (ARA) co-administration can be used to explore and predict the extent of the pH effect during therapy with ARAs. METHODS: Solubility, one-stage and two-stage dissolution of tablets containing potassium raltegravir, the marketed salt form of this poorly soluble, weakly acidic drug, was investigated using biorelevant media specially designed to reflect administration without and during ARA co-therapy. The dissolution data were then converted into parameters suitable for input into an in silico model (Simcyp™) and the simulated plasma profiles were compared with available pharmacokinetic (PK) data from the literature. RESULTS: Dissolution of the potassium raltegravir formulation in media reflecting ARA co-administration, and thus elevated gastric pH, was faster and more complete than in experiments reflecting the low gastric pH observed in the absence of ARA co-administration. Simulations using data from dissolution experiments with ARA media appropriately bracketed the in vivo data for ARA co-administration in healthy volunteers. CONCLUSION: Dissolution data from in vitro experiments in biorelevant media reflecting physiological changes due to ARA co-administration provide valuable information about potassium raltegravir's behavior during concomitant ARA therapy. The approach may also be suitable for salts forms of other poorly soluble, weakly acidic drugs.

Evaluating the impact of acid-reducing agents on drug absorption using biorelevant in vitro tools and PBPK modeling - case example dipyridamole.

BACKGROUND: In vitro and in silico methods have become an essential tool in assessing metabolic drug-drug interactions (DDI) and avoiding reduced efficacy and increased side-effects. Another important type of DDI is the impact of acid-reducing agent (ARA) co-therapy on drug pharmacokinetics due to changes in gastric pH, especially for poorly soluble weakly basic drugs. METHODS: One-stage, two-stage and transfer dissolution experiments with dipyridamole tablets using novel biorelevant media representing the ARA effect were conducted and the results were coupled with a PBPK model. Clinical pharmacokinetic data were compared with the simulations from the PBPK model and with output from TIM-1 experiments, an evolved in vitro system which aims to simulate the physiology in the upper GI tract. RESULTS: Two-stage and transfer experiments confirmed that these in vitro set-ups tend to overestimate the extent of dipyridamole precipitation occurring in the intestines in vivo. Consequently, data from one-stage dissolution testing under elevated gastric pH conditions were used as an input for PBPK modeling of the ARA/dipyridamole interaction. Using media representing the ARA effect in conjunction with the PBPK model, the ARA effect observed in vivo was successfully bracketed. As an alternative, the TIM-1 system with gastric pH values adjusted to simulate ARA pre-treatment can be used to forecast the ARA effect on dipyridamole pharmacokinetics. CONCLUSION: Drug-drug interactions of dipyridamole with ARA were simulated well with a combination of dissolution experiments using biorelevant media representing the gastric environment after an ARA treatment together with the PBPK model. Adjustment of the TIM-1 model to reflect ARA-related changes in gastric pH was also successful in forecasting the interaction. Further testing of both approaches for predicting ARA-related DDIs using a wider range of drugs should be conducted to verify their utility for this purpose.

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

BACKGROUND: Oral medicines must release the drug appropriately in the GI tract in order to assure adequate and reproducible absorption. Disease states and co-administration of drugs may alter GI physiology and therefore the release profile of the drug. Acid-reducing agents (ARAs), especially proton pump inhibitors (PPIs), are frequently co-administered during various therapies. As orally administered drugs are frequently poorly soluble weak bases, PPI co-administration raises the risk of pH-induced drug-drug interactions (DDIs) and the potential for changes in the therapeutic outcome. METHODS: This research compared the dissolution data of a poorly soluble weakly basic drug ("PSWB 001") from capsules in standard fasted state biorelevant media (FaSSGF, FaSSIF V1 and FaSSIF V2), water and recently devised media representing gastric conditions under various levels of PPI co-administration. An in silico simulation model, based on Simcyp software, was developed to compare simulated plasma profiles with clinical data. RESULTS: PSWB 001 capsules showed rapid and complete dissolution in acidic conditions representing gastric fluids, whereas limited dissolution was observed in deionized water, media representing PPI co-administration and in two biorelevant media representing fluids in the upper small intestine. Buffer capacity and the presence of native surfactants were shown to be important factors in the in vitro dissolution of PSWB 001. The data from in vitro experiments were used in conjunction with the in silico simulation model, which correctly predicted the plasma profiles of PSWB 001 when administered without PPIs, as well as bracketing the PPI effect observed in vivo. CONCLUSIONS: Recently developed biorelevant media representing gastric conditions under PPI therapy, combined with PBPK modeling, were able to bracket the observed plasma profiles of PSWB 001. These media may also be useful for predicting PPI effects for other poorly soluble, weakly basic drugs.

Impact of Acid-Reducing Agents on Gastrointestinal Physiology and Design of Biorelevant Dissolution Tests to Reflect These Changes.

BACKGROUND: Of the various drug therapies that influence gastrointestinal (GI) physiology, one of the most important are the acid-reducing agents (ARAs). Because changes in GI physiology often influence the pharmacokinetics of drugs given orally, there is a need to identify in vitro methods with which such effects can be elucidated. OBJECTIVE: Literature concerning the effects of ARAs (antacids, H2-receptor antagonists, and proton pump inhibitors [PPIs]) on GI physiology are reviewed with the aim of identifying conditions under which drugs are released after oral administration in the fasted state. In vitro dissolution tests to mimic the effects in the stomach were designed for H2-receptor antagonists and PPIs. CONCLUSIONS: The impact of ARAs on GI physiology depends on the type, duration, and amount of ARA administered as well as the location in the GI tract, with greatest impact on gastric physiology. While ARAs have a high impact on the gastric fluid pH and composition, changes in volume, viscosity, surface tension, and gastric emptying appear to be less profound. The proposed dissolution tests enable a ready comparison between dosage form performance in healthy adults and those receiving PPIs or H2-receptor antagonists.

Investigation of the Intra- and Interlaboratory Reproducibility of a Small Scale Standardized Supersaturation and Precipitation Method.

The high number of poorly water-soluble compounds in drug development has increased the need for enabling formulations to improve oral bioavailability. One frequently applied approach is to induce supersaturation at the absorptive site, e.g., the small intestine, increasing the amount of dissolved compound available for absorption. However, due to the stochastic nature of nucleation, supersaturating drug delivery systems may lead to inter- and intrapersonal variability. The ability to define a feasible range with respect to the supersaturation level is a crucial factor for a successful formulation. Therefore, an in vitro method is needed, from where the ability of a compound to supersaturate can be defined in a reproducible way. Hence, this study investigates the reproducibility of an in vitro small scale standardized supersaturation and precipitation method (SSPM). First an intralaboratory reproducibility study of felodipine was conducted, after which seven partners contributed with data for three model compounds; aprepitant, felodipine, and fenofibrate, to determine the interlaboratory reproducibility of the SSPM. The first part of the SSPM determines the apparent degrees of supersaturation (aDS) to investigate for each compound. Each partner independently determined the maximum possible aDS and induced 100, 87.5, 75, and 50% of their determined maximum possible aDS in the SSPM. The concentration-time profile of the supersaturation and following precipitation was obtained in order to determine the induction time (tind) for detectable precipitation. The data showed that the absolute values of tind and aDS were not directly comparable between partners, however, upon linearization of the data a reproducible rank ordering of the three model compounds was obtained based on the ß-value, which was defined as the slope of the ln(tind) versus ln(aDS)-2 plot. Linear regression of this plot showed that aprepitant had the highest ß-value, 15.1, while felodipine and fenofibrate had comparable ß-values, 4.0 and 4.3, respectively. Of the five partners contributing with full data sets, 80% could obtain the same rank order for the three model compounds using the SSPM (aprepitant > felodipine ≈ fenofibrate). The α-value is dependent on the experimental setup and can be used as a parameter to evaluate the uniformity of the data set. This study indicated that the SSPM was able to obtain the same rank order of the ß-value between partners and, thus, that the SSPM may be used to classify compounds depending on their supersaturation propensity.