Clinical assessment of momelotinib drug-drug interactions via CYP3A metabolism and transporters.

Momelotinib-approved for treatment of myelofibrosis in adults with anemia-and its major active metabolite, M21, were assessed as drug-drug interaction (DDI) victims with a strong cytochrome P450 (CYP) 3A4 inhibitor (multiple-dose ritonavir), an organic anion transporting polypeptide (OATP) 1B1/1B3 inhibitor (single-dose rifampin), and a strong CYP3A4 inducer (multiple-dose rifampin). Momelotinib DDI perpetrator potential (multiple-dose) was evaluated with CYP3A4 and breast cancer resistance protein (BCRP) substrates (midazolam and rosuvastatin, respectively). DDI was assessed from changes in maximum plasma concentration (Cmax), area under the concentration-time curve (AUC), time to reach Cmax, and half-life. The increase in momelotinib (23% Cmax, 14% AUC) or M21 (30% Cmax, 24% AUC) exposure with ritonavir coadministration was not clinically relevant. A moderate increase in momelotinib (40% Cmax, 57% AUC) and minimal change in M21 was observed with single-dose rifampin. A moderate decrease in momelotinib (29% Cmax, 46% AUC) and increase in M21 (31% Cmax, 15% AUC) were observed with multiple-dose rifampin compared with single-dose rifampin. Due to potentially counteracting effects of OATP1B1/1B3 inhibition and CYP3A4 induction, multiple-dose rifampin did not significantly change momelotinib pharmacokinetics compared with momelotinib alone (Cmax no change, 15% AUC decrease). Momelotinib did not alter the pharmacokinetics of midazolam (8% Cmax, 16% AUC decreases) or 1'-hydroxymidazolam (14% Cmax, 16% AUC decreases) but increased rosuvastatin Cmax by 220% and AUC by 170%. Safety findings were mild in this short-term study in healthy volunteers. This analysis suggests that momelotinib interactions with OATP1B1/1B3 inhibitors and BCRP substrates may warrant monitoring for adverse reactions or dose adjustments.

The frequency of rs2231142 in ABCG2 among Native Hawaiian and Pacific Islander subgroups: implications for personalized rosuvastatin dosing.

Statins are among the most commonly prescribed medications worldwide. Rosuvastatin is a moderate- to high-intensity statin depending on the prescribed dose. Statin-associated muscle symptoms are the main side effects, contributing to low adherence to statins. The missense variant rs2231142 in ABCG2 affects the functionality of the ABCG2 transporter, altering the pharmacokinetics and pharmacodynamics of rosuvastatin. This special report aims to accentuate the importance of considering the ABCG2 genotype upon prescribing rosuvastatin in high cardiovascular disease risk subgroups, specifically Native Hawaiian and Pacific Islander populations. Based on the reported frequencies of rs2231142 in ABCG2, it may be justifiable to initiate low-dose rosuvastatin in Samoans relative to Marshallese or Native Hawaiians. Interpopulation differences in pharmacogenetic allele frequencies underscore the need to disaggregate broad population categories to achieve health equity in treatment outcomes.

Rosuvastatin is a medication that is used to decrease levels of bad cholesterol in the blood. One of the side effects of rosuvastatin is muscle aches, which can cause patients to stop taking their medication. ABCG2 is a gene responsible for encoding ABCG2, an important transporter that plays a role in how the body interacts with many medications, including rosuvastatin. Genetic variations in ABCG2 result in a functional or nonfunctional transporter. This special report aims to focus on the importance of considering genetic variations in ABCG2 among different population subgroups, in particular Native Hawaiians, Samoans and Marshallese. The ABCG2 genotype could inform clinicians about the most effective rosuvastatin dose to prescribe. This approach highlights the importance of individualized patient characteristics above and beyond race and ethnicity.

Biomarker-Informed Model-Based Risk Assessment of Organic Anion Transporting Polypeptide 1B Mediated Drug-Drug Interactions.

Quantitative prediction of drug-drug interactions (DDIs) involving organic anion transporting polypeptide (OATP)1B1/1B3 inhibition is limited by uncertainty in the translatability of experimentally determined in vitro inhibition potency (half-maximal inhibitory concentration (IC50 )). This study used an OATP1B endogenous biomarker-informed physiologically-based pharmacokinetic (PBPK) modeling approach to predict the effect of inhibitor drugs on the pharmacokinetics (PKs) of OATP1B substrates. Initial static analysis with about 42 inhibitor drugs, using in vitro IC50 values and unbound liver inlet concentrations (Iin,max,u ), suggested in vivo OATP1B inhibition risk for drugs with R-value (1+ Iin,max,u /IC50 ) above 1.5. A full-PBPK model accounting for transporter-mediated hepatic disposition was developed for coproporphyrin I (CP-I), an endogenous OATP1B biomarker. For several inhibitors (cyclosporine, diltiazem, fenebrutinib, GDC-0810, itraconazole, probenecid, and rifampicin at 3 different doses), PBPK models were developed and verified against available CP-I plasma exposure data to obtain in vivo OATP1B inhibition potency-which tend to be lower than the experimentally measured in vitro IC50 by about 2-fold (probenecid and rifampicin) to 37-fold (GDC-0810). Models verified with CP-I data are subsequently used to predict DDIs with OATP1B probe drugs, rosuvastatin and pitavastatin. The predicted and observed area under the plasma concentration-time curve ratios are within 20% error in 55% cases, and within 30% error in 89% cases. Collectively, this comprehensive study illustrates the adequacy and utility of endogenous biomarker-informed PBPK modeling in mechanistic understanding and quantitative predictions of OATP1B-mediated DDIs in drug development.

Static Model-Based Assessment of OATP1B1-Mediated Drug Interactions with Preincubation-Dependent Inhibitors Based on Inactivation and Recovery Kinetics.

Quantitative assessment of drug-drug interactions (DDIs) via organic anion transporting polypeptide (OATP) 1B1 is one of the key issues in drug development. Although OATP1B1 inhibition exhibits unique characteristics, including preincubation dependence for some inhibitors, a limited approach has been attempted based on the static model that considers such preincubation dependence in the prediction of DDIs via OATP1B1. The present study aimed to establish the prediction of DDIs via OATP1B1 using preincubation-dependent inhibitors based on the static model and incorporating both inactivation and recovery of OATP1B1 activity. Cyclosporine A was selected as a preincubation-dependent inhibitor, as well as five substrates that include probes and pharmaceuticals. The inhibition ratio (R value) calculated on the basis of a conventional static model, considering inhibition of OATP1B1 and contribution ratio of OATP1B1 to the overall hepatic uptake, was much lower than the reported AUC ratio, even when IC50 values were estimated after preincubation conditions. Conversely, the R value that was estimated by considering inactivation and recovery parameters was closer to the AUC ratio. The R value that was calculated assuming the complete contribution of OATP1B1 was much higher than the AUC ratio, avoiding false-negative prediction. The R value estimated by considering inactivation and recovery for another combination of a preincubation-dependent inhibitor, asunaprevir, and substrate drug, rosuvastatin, was also closer to the AUC ratio. Thus, R values calculated based on such OATP1B1 kinetics would be potential alternative indexes for the quantitative prediction of OATP1B1-mediated DDIs using preincubation-dependent inhibitors, although this prediction is affected by estimation of the contribution ratio of substrates. SIGNIFICANCE STATEMENT: Static model-based quantitative prediction of organic anion transporting polypeptide 1B1-mediated drug-drug interactions induced by preincubation-dependent inhibitors was newly proposed to avoid false-negative prediction.

Assessment of Transporter Polymorphisms as a Factor in a BCRP Drug Interaction Study With Lanabecestat.

Lanabecestat is a human ß-site amyloid precursor protein-cleaving enzyme 1 inhibitor in development to slow disease progression in patients with early Alzheimer's disease. The study evaluated the breast cancer resistance protein (BCRP) inhibition potential of lanabecestat on the pharmacokinetics (PK) of rosuvastatin, a probe for BCRP activity, in healthy white subjects who were not carriers of SLCO1B1 (c.521T>C), not homozygotes for ABCG2 (c.421C>A or c.34G>A), and not heterozygotes of ABCG2 (c.421C>A and c.34G>A). The safety of lanabecestat + rosuvastatin, the effects of rosuvastatin on the PK of lanabecestat, and the effects of multiple genetic polymorphisms on rosuvastatin exposure were assessed. Geometric mean ratios of the maximum observed rosuvastatin concentration (Cmax ), area under the rosuvastatin concentration-versus-time curve (AUC) from time 0 to infinity, and time of maximum observed drug concentration (tmax ) when rosuvastatin was administered alone and with lanabecestat were contained within 0.8-1.25, as were lanabecestat AUC at steady state and tmax at steady state when lanabecestat was administered alone or with rosuvastatin. Lanabecestat Cmax at steady state increased 8% in the presence of rosuvastatin. Except for an approximately 80% increase of rosuvastatin AUC (P < .05) in the heterozygotes of ABCG2 c.421C>A relative to the CC genotype, there were no statistically significant associations between rosuvastatin exposure and polymorphisms assessed. Lanabecestat + rosuvastatin was associated with few treatment-emergent adverse events, all of which resolved and were mild. Lanabecestat does not meaningfully impact BCRP activity; therefore, restriction of concomitant administration with BCRP substrates, such as rosuvastatin, may be unnecessary.

Preparation of novel phospholipid-based sonocomplexes for improved intestinal permeability of rosuvastatin: In vitro characterization, dynamic simulation, Caco-2 cell line permeation and in vivo assessment studies.

The study aimed to fabricate innovative drug-phospholipid complexes termed "sonocomplexes" adopting ultrasound irradiation to increase the liposolubility and to enhance the intestinal absorption of rosuvastatin as a model drug for BCS class III active pharmaceutical ingredients (APIs). A 22 full factorial design was fashioned to investigate the influence of phosphatidylcholine content in the phospholipid (∼30 and 60%) and molar ratio of phospholipid to rosuvastatin (1:1 and 2:1) on physicochemical properties of sonocomplexes. In comparison to pure drug, sonocomplexes showed a minimum of about 2 folds and a maximum of about 15 folds increase in lipophilicity (expressed in terms of partition coefficient, P). Results of molecular docking, dynamic simulations, Fourier transform infrared (FTIR) spectroscopy and differential scanning calorimetry (DSC) confirmed the strong interactions between rosuvastatin and the phospholipid via hydrogen bonding interaction, van der Waals forces and hydrophobic interaction. The complexation efficiency reached around 99% and transmission electron microscopy (TEM) of the aqueous dispersion of the optimal sonocomplex showed spherical nanosized vesicles. The optimal sonocomplex showed significantly superior Caco-2 cells permeability and markedly better oral bioavailability compared to the pure drug. In summary, sonocomplexes can be considered as effective approach for enhancing the liposolubility and consequently the intestinal permeability of BCS class III drugs.

A cost effective RFLP method to genotype Solute carrier organic anion 1B1 (SLCO1B1) c.1929A>C (p.Leu643Phe, rs34671512); a variant with potential effect on rosuvastatin pharmacokinetics.

OBJECTIVE: This study describes a restriction fragment polymorphism protocol for rapidly screening the polymorphism SLCO1B1 c.1929A>C in genomic DNA samples. The polymorphism SLCO1B1 c.1929A>C has been associated with increased activity resulting in increased hepatic uptake of drugs. Currently SLCO1B1 c.1929A>C is genotyped using direct sequencing techniques and 5' nuclease based assays which can be cost prohibiting in resource limited settings. The aim of this study therefore was to design and validate a cost effective RFLP for genotyping the SLCO1B1 c.1929A>C polymorphism. This study was designed to investigate the effect of the polymorphism SLCO1B1 c.1929A>C on interindividual variability in rosuvastatin pharmacokinetics in healthy volunteers of African descent. RESULTS: We describe a restriction fragment length polymorphism method to genotype SLCO1B1 c.1929A>C polymorphism using the restriction enzyme Ase1. A student's t test with Welch correction was used to establish association between the SLCO1B1 c.1929A>C variant and rosuvastatin exposure. The frequency of the SLCO1B1 c.1929C allele amongst Zimbabweans was 6%. The SLCO1B1 c.1929C allele was associated with a 75% reduction (P < 0.001) in rosuvastatin exposure when compared to individuals carrying the wild type SLCO1B1 c.1929A allele. Polymorphism c.1929A>C may therefore play a significant role in rosuvastatin response. The RFLP method is quick and cost effective.

Assessment of Pharmacokinetic Interactions Between Obeticholic Acid and Caffeine, Midazolam, Warfarin, Dextromethorphan, Omeprazole, Rosuvastatin, and Digoxin in Phase 1 Studies in Healthy Subjects.

INTRODUCTION: Obeticholic acid (OCA), a potent and selective farnesoid X receptor agonist, is indicated for the treatment of primary biliary cholangitis (PBC). We investigated the potential drug-drug interaction effect of OCA on metabolic CYP450 enzymes and drug transporters. METHODS: Five phase 1 single-center, open-label, fixed-sequence, inpatient studies were conducted in healthy adult subjects to evaluate the effect of oral daily doses of 10 or 25 mg OCA on single-dose plasma pharmacokinetics of specific probe substrates for enzymes CYP1A2 (caffeine, R-warfarin), CYP3A (midazolam, R-warfarin), CYP2C9 (S-warfarin), CYP2D6 (dextromethorphan), CYP2C19 (omeprazole), and drug transporters, BCRP/OATP1B1/OATP1B3 (rosuvastatin), and P-gp (digoxin). RESULTS: OCA showed no substantial suppression/inhibition of S-warfarin, digoxin, and dextromethorphan and weak interactions with caffeine, omeprazole, rosuvastatin, and midazolam. The maximal pharmacodynamic responses (E max) to warfarin-based INR, PT, and aPTT were reduced by 11%, 11%, and 1%, respectively, for the 10-mg dose group and by 7%, 7% and 0%, respectively, for the 25-mg dose group. Overall, drugs dosed in combination with OCA were well tolerated, and most adverse events were mild in severity. No clinically important trends were noted in laboratory evaluations, vital signs, or 12-lead ECGs. CONCLUSION: In these studies, OCA showed weak to no suppression/inhibition of metabolic enzymes and drug transporters at the highest recommended therapeutic dose in patients with PBC. On the basis on these analyses, monitoring and maintenance of target INR range are required during coadministration of OCA with drugs that are metabolized by CYP1A2 (R-warfarin). FUNDING: Intercept Pharmaceuticals, Inc.

Assessment of pharmacokinetic interaction between omega-3 carboxylic acids and the statins rosuvastatin and simvastatin: Results of 2 phase I studies in healthy volunteers.

BACKGROUND: Omega-3 carboxylic acids (OM3-CA) can lower triglyceride levels. OM3-CA is often prescribed concomitantly with a 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitor (statin). OBJECTIVE: The aim of the article was to assess the potential for pharmacokinetic interaction between OM3-CA and the statins rosuvastatin and simvastatin. METHODS: Data from 2 phase I studies (ECLIPSE III and OM-EPA-007 [NCT01486433]) were analyzed. In ECLIPSE III, 59 participants received OM3-CA 4 g once daily for 13 days, with rosuvastatin 40 mg (single dose) co-administered with the 11th dose. In OM-EPA-007, 52 participants received simvastatin 40 mg plus acetylsalicylic acid 81 mg daily for 14 days, with or without OM3-CA. Lack of a drug-drug interaction was declared if the 90% confidence interval (CI) of the geometric least-squares mean ratio of pharmacokinetic parameters was in the range 80% to 125%. RESULTS: For rosuvastatin, values for the geometric mean ratio (90% CI) with:without OM3-CA were 86.38% (80.68-92.48), 90.50% (85.99-95.25), and 89.01% (84.30-93.98), respectively, for maximum plasma concentration (Cmax), area under the concentration-time curve up to last measurable concentration (AUC0-t) and extrapolated to infinity (AUC0-inf). Co-administration with a single dose of rosuvastatin did not affect the multiple-dose pharmacokinetics of constituent OM3-CA fatty acids eicosapentaenoic acid and docosahexaenoic acid. For simvastatin, values for steady state geometric mean ratio (90% CI) with:without OM3-CA were 91.61% (82.82-101.33) and 87.47% (80.19-95.41), respectively, for Cmax and AUC0-t. No deaths or serious adverse events occurred in either trial. CONCLUSION: OM3-CA can be administered with either rosuvastatin or simvastatin without affecting the pharmacokinetics of these statins.