Intestinal organoids as an in vitro platform to characterize disposition, metabolism, and safety profile of small molecules.

Intestinal organoids derived from LGR5+ adult stem cells allow for long-term culturing, more closely resemble human physiology than traditional intestinal models, like Caco-2, and have been established for several species. Here we evaluated intestinal organoids for drug disposition, metabolism, and safety applications. Enterocyte-enriched human duodenal organoids were cultured as monolayers to enable bidirectional transport studies. 3D enterocyte-enriched human duodenal and colonic organoids were incubated with probe substrates of major intestinal drug metabolizing enzymes (DMEs). To distinguish human intestinal toxic (high incidence of diarrhea in clinical trials and/or black box warning related to intestinal side effects) from non-intestinal toxic compounds, ATP-based cell viability was used as a readout, and compounds were ranked based on their IC50 values in relation to their 30-times maximal total plasma concentration (Cmax). To assess if rat and dog organoids reproduced the respective in vivo intestinal safety profiles, ATP-based viability was assessed in rat and dog organoids and compared to in vivo intestinal findings when available. Human duodenal monolayers discriminated high and low permeable compounds and demonstrated functional activity for the main efflux transporters Multi drug resistant protein 1 (MDR1, P-glycoprotein P-gp) and Breast cancer resistant protein (BCRP). Human 3D duodenal and colonic organoids also showed metabolic activity for the main intestinal phase I and II DMEs. Organoids derived from specific intestinal segments showed activity differences in line with reported DMEs expression. Undifferentiated human organoids accurately distinguished all but one compound from the test set of non-toxic and toxic drugs. Cytotoxicity in rat and dog organoids correlated with preclinical toxicity findings and observed species sensitivity differences between human, rat, and dog organoids. In conclusion, the data suggest intestinal organoids are suitable in vitro tools for drug disposition, metabolism, and intestinal toxicity endpoints. The possibility to use organoids from different species, and intestinal segment holds great potential for cross-species and regional comparisons.

Clinical Investigation on Endogenous Biomarkers to Predict Strong OAT-Mediated Drug-Drug Interactions.

BACKGROUND: Endogenous biomarkers are promising tools to assess transporter-mediated drug-drug interactions early in humans. METHODS: We evaluated on a common and validated in vitro system the selectivity of 4-pyridoxic acid (PDA), homovanillic acid (HVA), glycochenodeoxycholate-3-sulphate (GCDCA-S) and taurine towards different renal transporters, including multidrug resistance-associated protein, and assessed the in vivo biomarker sensitivity towards the strong organic anion transporter (OAT) inhibitor probenecid at 500 mg every 6 h to reach close to complete OAT inhibition. RESULTS: PDA and HVA were substrates of the OAT1/2/3, OAT4 (PDA only) and multidrug resistance-associated protein 4; GCDCA-S was more selective, having affinity only towards OAT3 and multidrug resistance-associated protein 2. Taurine was not a substrate of any of the investigated transporters under the in vitro conditions tested. Plasma exposure of PDA and HVA significantly increased and the renal clearance of GCDCA-S, PDA and HVA decreased; the magnitude of these changes was comparable to those of known clinical OAT probe substrates. PDA and GCDCA-S were the most promising endogenous biomarkers of the OAT pathway activity: PDA plasma exposure was the most sensitive to probenecid inhibition, and, in contrast, GCDCA-S was the most sensitive OAT biomarker based on renal clearance, with higher selectivity towards the OAT3 transporter. CONCLUSIONS: The current findings illustrate a clear benefit of measuring PDA plasma exposure during phase I studies when a clinical drug candidate is suspected to be an OAT inhibitor based on in vitro data. Subsequently, combined monitoring of PDA and GCDCA-S in both urine and plasma is recommended to tease out the involvement of OAT1/3 in the inhibition interaction. CLINICAL TRIAL REGISTRATION: EudraCT number: 2016-003923-49.

Population pharmacokinetic modeling and simulation to support qualification of pyridoxic acid as endogenous biomarker of OAT1/3 renal transporters.

Renal clearance of many drugs is mediated by renal organic anion transporters OAT1/3 and inhibition of these transporters may lead to drug-drug interactions (DDIs). Pyridoxic acid (PDA) and homovanillic acid (HVA) were indicated as potential biomarkers of OAT1/3. The objective of this study was to develop a population pharmacokinetic model for PDA and HVA to support biomarker qualification. Simultaneous fitting of biomarker plasma and urine data in the presence and absence of potent OAT1/3 inhibitor (probenecid, 500 mg every 6 h) was performed. The impact of study design (multiple vs. single dose of OAT1/3 inhibitor) and ability to detect interactions in the presence of weak/moderate OAT1/3 inhibitors was investigated, together with corresponding power calculations. The population models developed successfully described biomarker baseline and PDA/HVA OAT1/3-mediated interaction data. No prominent effect of circadian rhythm on PDA and HVA individual baseline levels was evident. Renal elimination contributed greater than 80% to total clearance of both endogenous biomarkers investigated. Estimated probenecid unbound in vivo OAT inhibitory constant was up to 6.4-fold lower than in vitro values obtained with PDA as a probe. The PDA model was successfully verified against independent literature reported datasets. No significant difference in power of DDI detection was found between multiple and single dose study design when using the same total daily dose of 2000 mg probenecid. Model-based simulations and power calculations confirmed sensitivity and robustness of plasma PDA data to identify weak, moderate, and strong OAT1/3 inhibitors in an adequately powered clinical study to support optimal design of prospective clinical OAT1/3 interaction studies.

Clinical Investigation of Coproporphyrins as Sensitive Biomarkers to Predict Mild to Strong OATP1B-Mediated Drug-Drug Interactions.

INTRODUCTION: Coproporphyrin (CP) I and III have recently been proposed as endogenous clinical biomarkers to predict organic anion-transporting polypeptide 1B (OATP1B)-mediated drug-drug interactions (DDIs). In the present study, we first investigated the in vitro selectivity of CPI and CPIII towards drug uptake and efflux transporters. We then assessed the in vivo biomarker sensitivity towards OATP1B inhibition. METHODS: To assess transporter selectivity, incubations with CPI and CPIII were performed in vitro, using single transporter-expressing and control systems. Furthermore, CPI and CPIII plasma concentrations were determined from participants of three independent clinical trials who were administered with either a strong, moderate, or mild clinical OATP1B inhibitor. RESULTS: Our results show that CPI and CPIII are substrates of OATP1B1, OATP1B3, the multidrug resistance-associated protein (MRP) 2, and MRP3. No substrate interaction was shown for other prominent drug transporters that have been associated with clinical DDIs. Results from clinical studies demonstrated that changes in CPI and CPIII plasma levels were predictive for moderate (two to threefold area under the concentration-time curve [AUC] increase) and strong (≥ fivefold increases) clinical OATP1B inhibition. Furthermore, CPI, but not CPIII, concentration changes were predictive for a mild clinically observed DDI where CPI AUC increases of 1.4-fold were comparable with those observed for pitavastatin as victim drug (AUC increases of 1.5-fold). CONCLUSION: Our results demonstrate the selectivity of CPI and CPIII towards the OATP1B/MRP pathway, and the herein reported data further underline the potential of CPI and CPIII as selective and sensitive clinical biomarkers to quantify OATP1B-mediated DDIs.

Development of an LC-MS method to quantify coproporphyrin I and III as endogenous biomarkers for drug transporter-mediated drug-drug interactions.

Coproporphyrins are proposed as endogenous biomarkers of hepatic Organic Anion Transporting Polypeptide (OATP)1B functional activity. In this study, a new sample extraction method based on a mixed-mode anion exchange sorbent (SPE clean-up using Oasis 30mg Max 96 well plates) was developed for absolute quantification of coproporphyrin I and III (CP-I and CP-III) in human plasma. Chromatographic separation was performed with an Ace Excel 2 C18 PFP, 3µm, 2.1×150mm, maintained at 60°C. A 10mM ammonium formate containing 0.1% HCOOH and acetonitrile (100%) was used as mobile phase A and B, respectively. Mass transition, m/z 655.3→596.3 was selected to monitor CP-I and CP-III, while m/z 659.3→600.3 transition was used for the stable isotope labelled internal standard. Optimization of the liquid chromatography tandem mass spectrometry method ensured a lower limit of quantification (LLOQ) of 20pg/mL. Both CP-I and CP-III had extraction recoveries of 70%. The calibration range was 0.02-100ng/mL for both CP-I and CP-III, yielding calibration curves with correlation coefficients greater than 0.988. Inter day precision (CV<9%) and accuracy (84.3-103.9%) complied with the recommendation of the European Bioanalytical Forum. The optimized method was used to analyse plasma samples originating from three independent clinical studies. Obtained CP-I and CP-III plasma baseline levels in healthy volunteers were in good agreement with previously published data. Moreover, CP-I and CP-III plasma levels in human subjects dosed with a clinically confirmed OATP inhibitor were significantly increased compared to their baseline levels. These data demonstrate the potential of CP-I and CP-III as endogenous biomarkers to predict the drug-drug interaction (DDI) related to hepatic OATP1B inhibition. Stability of CP-I and CP-III in plasma and solvents under different processing and storage conditions was also evaluated.

Application of the extended clearance concept classification system (ECCCS) to predict the victim drug-drug interaction potential of statins.

BACKGROUND: During drug development, it is an important safety factor to identify the potential of new molecular entities to become a victim of drug-drug interactions (DDIs). In preclinical development, however, anticipation of clinical DDIs remains challenging due to the lack of in vivo human pharmacokinetic data. METHODS: We applied a recently developed in vitro-in vivo extrapolation method, including hepatic metabolism and transport processes, herein referred to as the Extended Clearance Concept Classification System (ECCCS). The human hepatic clearances and the victim DDI potentials were predicted for atorvastatin, cerivastatin, fluvastatin, lovastatin acid, pitavastatin, pravastatin, rosuvastatin, and simvastatin acid. RESULTS: Hepatic statin clearances were well-predicted by the ECCCS with six out of eight clearances projected within a two-fold deviation to reported values. In addition, worst-case DDI predictions were projected for each statin. Based on the ECCCS class assignment (4 classes), the mechanistic interplay of metabolic and transport processes, resulting in different DDI risks, was well-reflected by our model. Furthermore, predictions of clinically observed statins DDIs in combination with relevant perpetrator drugs showed good quantitative correlations with clinical observations. CONCLUSIONS: The ECCCS represents a powerful tool to anticipate the DDI potential of victim drugs based on in vitro drug metabolism and transport data.

Prediction of organic anion-transporting polypeptide 1B1- and 1B3-mediated hepatic uptake of statins based on transporter protein expression and activity data.

Organic anion-transporting polypeptides (OATP) 1B1 and OATP1B3 are drug transporters mediating the active hepatic uptake of their substrates. Because they exhibit overlapping substrate specificities, the contribution of each isoform to the net hepatic uptake needs to be considered when predicting drug-drug interactions. The relative contribution of OATP1B1- and OATP1B3-mediated uptake of statins into hepatocytes was estimated based on either relative transporter protein expression data or relative activity data. Therefore, kinetics of eight statins and OATP1B1- and OATP1B3-specific reference substrates was determined in OATP1B1- and OATP1B3-expressing human embryonic kidney 293 cells and in human cryopreserved hepatocytes. Absolute OATP1B1 and OATP1B3 protein abundance was determined by liquid chromatography-tandem mass spectrometry in all expression systems. Transporter activity data generated in recombinant cell lines were extrapolated to hepatocyte values using relative transporter expression factors (REF) or relative activity factors (RAF). Our results showed a pronounced OATP1B1 and comparatively low OATP1B3 protein expression in the investigated hepatocyte lot. Based on REF scaling, we demonstrated that the active hepatic uptake clearances of reference substrates, atorvastatin, pravastatin, rosuvastatin, and simvastatin were well predicted within twofold error, demonstrating that OATP1B1 and OATP1B3 were major contributors. For other statins, the net hepatic uptake clearance was underpredicted, suggesting the involvement of other hepatic uptake transporters. Summarized, we showed that REF- and RAF-based predictions were highly similar, indicating a direct transporter expression-activity relationship. Moreover, we demonstrated that the REF-scaling method provided a powerful tool to quantitatively assess the transporter-specific contributions to the net uptake clearance of statins in hepatocytes.

In vitro-in vivo extrapolation method to predict human renal clearance of drugs.

Renal clearance is a key determinant of the elimination of drugs. To date, only few in vitro-in vivo extrapolation (IVIVE) approaches have been described to predict the renal organ clearance as the net result of glomerular filtration, tubular secretion, and tubular reabsorption. In this study, we measured in LLC-PK1 cells the transport of 20 compounds that cover all four classes of the Biopharmaceutical Drug Disposition System. These data were incorporated into a novel kidney model to predict all renal clearance processes in human. We showed that filtration and secretion were main contributors to the renal organ clearance for all compounds, whereas reabsorption was predominant for compounds assigned to classes 1 and 2. Our results suggest that anionic drugs were not significantly secreted in LLC-PK1 cells, resulting in under-predicted clearances. When all study compounds were included a high overall correlation between the reported and predicted renal organ clearances was obtained (R² = 0.83). The prediction accuracy in terms of percentage within twofold and threefold error was 70% and 95%, respectively. In conclusion, our novel IVIVE method allowed to predict the human renal organ clearance and the contribution of each underlying process.

Interaction of the antiviral drug telaprevir with renal and hepatic drug transporters.

Telaprevir is a new, direct-acting antiviral drug that has been approved for the treatment of chronic hepatitis C viral infection. First data on drug-drug interactions with co-medications such as cyclosporine, tacrolimus and atorvastatin have been reported recently. Drug transporting proteins have been shown to play an important role in clinically observed drug-drug interactions. The aim of this study was therefore to systematically investigate the potential of telaprevir to inhibit drug transporting proteins. The effect of telaprevir on substrate uptake mediated by drug transporters located in human kidney and liver was investigated on a functional level in HEK293 cell lines that over-express single transporter. Telaprevir was shown to exhibit significant inhibition of the human renal drug transporters OCT2 and MATE1 with IC(50) values of 6.4 µM and 23.0 µM, respectively, whereas no inhibitory effect on OAT1 and OAT3 mediated transport by telaprevir was demonstrated. Liver drug transporters were inhibited with an IC(50) of 2.2 µM for OATP1B1, 6.8 µM for OATP1B3 and 20.7 µM for OCT1. Our data show that telaprevir exhibited significant potential to inhibit human drug transporters. In view of the inhibitory potential of telaprevir, clinical co-administration of telaprevir together with drugs that are substrates of renal or hepatic transporters should be carefully monitored.