CYP3A4 Inhibitor Itraconazole Research Articles

Pharmacokinetic Evaluation of the CYP3A4 and CYP2C9 Drug-Drug Interaction of Avacopan in 2 Open-Label Studies in Healthy Participants.

Avacopan, a complement 5a receptor (C5aR) antagonist approved for treating severe active antineutrophil cytoplasmic autoantibody (ANCA)-associated vasculitis, was evaluated in 2 clinical drug-drug interaction studies. The studies assessed the impact of avacopan on the pharmacokinetics (PK) of CYP3A4 substrates midazolam and simvastatin and CYP2C9 substrate celecoxib, and the influence of CYP3A4 inhibitor itraconazole and inducer rifampin on the PKs of avacopan. The results indicated that twice-daily oral administration of 30mg of avacopan increased the area under the curve (AUC) of midazolam by 1.81-fold and celecoxib by 1.15-fold when administered without food, and twice-daily oral administration of 30 or 60mg of avacopan increased the AUC of simvastatin by approximately 2.6-3.5-fold and the AUC of the active metabolite β-hydroxy-simvastatin acid by approximately 1.4-1.7-fold when co-administered with food. Furthermore, the AUC of avacopan increased by approximately 2.19-fold when co-administered with itraconazole and decreased by approximately 13.5-fold when co-administered with rifampin. These findings provide critical insights into the potential drug-drug interactions involving avacopan, which could have significant implications for patient care and treatment planning. (NCT06207682).

Itraconazole interferes in the pharmacokinetics of fuzuloparib in healthy volunteers.

Fuzuloparib is an orally administered poly [ADP-ribose] polymerase 1 (PARP1) inhibitor and has potential anti-tumor effect on ovarian cancer (such as fallopian tube cancer and primary peritoneal cancer) in China. As fuzuloparib is metabolized mainly by CYP3A4, we explored the effect of itraconazole, a strong CYP3A4 inhibitor, on a single oral dose of fuzuloparib in healthy male subjects. An open-label, single-arm, fixed sequence study was conducted. Twenty healthy adult males received one single dose of fuzuloparib (20mg) with one dose administered alone and the other dose coadministered with itraconazole. Subjects received 200mg QD itraconazole for 6days during the study. Serials of blood samples were collected pre-dose of each fuzuloparib capsule administration and 48h post-dose, and were used to analyze the PK parameters of fuzuloparib. Coadministration of repeated 200mg QD oral doses of itraconazole for 6days increased fuzuloparib exposure by 1.51-fold and 4.81-fold for peak plasma concentration and area under the plasma concentration-time curve (AUC), respectively. Oral administration of 20mg fuzuloparib alone or together with itraconazole was safe and tolerable in healthy male subjects. The CYP3A4 inhibitor itraconazole has a significant influence on the PK behavior of fuzuloparib, suggesting to avoid using strong CYP3A4 inhibitors simultaneously with fuzuloparib. If it is necessary to use a strong CYP3A4 inhibitor, fuzuloparib would be discontinued and be restored to the original dose and frequency of administration after 5-7 half lives of CYP3A4 inhibitor stopped. http://www.chinadrugtrials.org.cn/index.html , CTR20191271.

Pharmacokinetic Interaction of Chiglitazar with CYP3A4 Inducer or Inhibitor: An Open-Label, Sequential Crossover, Self-Control, 3-Period Study in Healthy Chinese Volunteers.

Chiglitazar, a pan agonist of non-thiazolidinedione peroxisome proliferator-activated receptor, has the potential to regulate blood sugar, improve lipid metabolism, and reduce cardiovascular complications. This study aimed to examine the effect of cytochrome P450 (CYP) 3A4 inhibitors/inducers on the in vivo metabolism of chiglitazar and provide a reference for the clinical combination use of chiglitazar. A single-center, open-label, sequential crossover, and self-control study was carried out in 24 healthy subjects to determine the pharmacokinetics of chiglitazar dosed with and without CYP3A4 inhibitors and inducers. The findings showed that the CYP3A4 inhibitor itraconazole had no apparent pharmacokinetic drug interaction with chiglitazar, whereas rifampicin did. When combined with rifampicin after continuous dosing, chiglitazar exposure was not theoretically reduced but increased compared to a single dose of chiglitazar. The possible explanation may be the transporters of bile salt export pump, but this needs to be confirmed. The safety of chiglitazar in single or combination doses was well tolerated. The findings of this study provide a basis for clinical combinations of chiglitazar with CYP3A4 inhibitors or inducers.

Drug-Drug Interaction Studies to Evaluate the Effect of Inhibition of UGT1A1 and CYP3A4 and Induction of CYP3A4 on the Pharmacokinetics of Tropifexor in Healthy Subjects.

Tropifexor, a farnesoid X receptor agonist, is currently under clinical development for the treatment of nonalcoholic steatohepatitis. Tropifexor undergoes glucuronidation by uridine 5'-diphosphoglucuronosyltransferase (UGT) 1A1 and oxidation by cytochrome P450 (CYP) 3A4, as reported in in vitro studies. Here, we report the results from 2 drug-drug interaction studies. Study 1 enrolled 20 healthy subjects to investigate the effect of the UGT1A1 inhibitor atazanavir (ATZ) on tropifexor pharmacokinetics (PK). Study 2 had 2 cohorts with 16 healthy subjects each to investigate the effect of the strong CYP3A4 inhibitor itraconazole and strong CYP3A4 inducer rifampin on the PK of tropifexor. Coadministration of ATZ reduced the maximum plasma concentration (Cmax ) of tropifexor by 40%; however, it did not lead to increased exposure of tropifexor (both area under the plasma concentration-time curve [AUC] from time 0 to the last quantifiable concentration [AUClast ] and AUC from time 0 to infinity [AUCinf ] reduced by only 10%), suggesting minor relevance of the UGT1A1 pathway for clearance of tropifexor and no expected drug-drug interactions based on UGT1A1 inhibition. Inhibition of CYP3A4 by itraconazole increased the Cmax of tropifexor by only 9% and exposure (both AUClast and AUCinf ) by 47%, suggesting a weak effect of strong CYP3A4 inhibitors on tropifexor PK. Inducing CYP3A4 with rifampin decreased Cmax (55%) and AUC (AUClast by 79% and AUCinf by 77%). Coadministration of tropifexor with either ATZ, itraconazole, or rifampin was well tolerated.

Predicting Clinical Effects of CYP3A4 Modulators on Abemaciclib and Active Metabolites Exposure Using Physiologically Based Pharmacokinetic Modeling.

Abemaciclib, a selective inhibitor of cyclin‐dependent kinases 4 and 6, is metabolized mainly by cytochrome P450 (CYP)3A4. Clinical studies were performed to assess the impact of strong inhibitor (clarithromycin) and inducer (rifampin) on the exposure of abemaciclib and active metabolites. A physiologically based pharmacokinetic (PBPK) model incorporating the metabolites was developed to predict the effect of other strong and moderate CYP3A4 inhibitors and inducers. Clarithromycin increased the area under the plasma concentration‐time curve (AUC) of abemaciclib and potency‐adjusted unbound active species 3.4‐fold and 2.5‐fold, respectively. Rifampin decreased corresponding exposures 95% and 77%, respectively. These changes influenced the fraction metabolized via CYP3A4 in the model. An absolute bioavailability study informed the hepatic and gastric availability. In vitro data and a human radiolabel study determined the fraction and rate of formation of the active metabolites as well as absorption‐related parameters. The predicted AUC ratios of potency‐adjusted unbound active species with rifampin and clarithromycin were within 0.7‐ and 1.25‐fold of those observed. The PBPK model predicted 3.78‐ and 7.15‐fold increases in the AUC of the potency‐adjusted unbound active species with strong CYP3A4 inhibitors itraconazole and ketoconazole, respectively; and 1.62‐ and 2.37‐fold increases with the concomitant use of moderate CYP3A4 inhibitors verapamil and diltiazem, respectively. The model predicted modafinil, bosentan, and efavirenz would decrease the AUC of the potency‐adjusted unbound active species by 29%, 42%, and 52%, respectively. The current PBPK model, which considers changes in unbound potency‐adjusted active species, can be used to inform dosing recommendations when abemaciclib is coadministered with CYP3A4 perpetrators.

Application of unbound liver-to-plasma concentration ratio to quantitative projection of cytochrome P450-mediated drug–drug interactions using physiologically based pharmacokinetic modelling approach

1. This study evaluated the prediction accuracy of cytochrome P450 (CYP)-mediated drug-drug interaction (DDI) using minimal physiologically-based pharmacokinetic (PBPK) modelling incorporating the hepatic accumulation factor of an inhibitor (i.e. unbound liver/unbound plasma concentration ratio [Kp,uu,liver]) based on 22 clinical DDI studies.2. Kp,uu,liver values were estimated using three methods: (1) ratio of cell-to-medium ratio in human cryopreserved hepatocytes (C/Mu) at 37 °C to that on ice (Kp,uu,C/M), (2) multiplication of total liver/unbound plasma concentration ratio (Kp,u,liver) estimated from C/Mu at 37 °C with unbound fraction in human liver homogenate (Kp,uu,cell) and (3) observed Kp,uu,liver in rats after intravenous infusion (Kp,uu,rat).3. PBPK model using each Kp,uu,liver projected the area under the curve (AUC) increase of substrates more accurately than the model assuming a Kp,uu,liver of 1 for the average fold error and root mean square error did. Particularly, the model with a Kp,uu,liver of 1 underestimated the AUC increase of triazolam following co-administration with CYP3A4 inhibitor itraconazole by five-fold, whereas the AUC increase projected using the model incorporating the Kp,uu,C/M, Kp,uu,cell, or Kp,uu,rat of itraconazole and hydroxyitraconazole was within approximately two-fold of the actual value.4. The results indicated that incorporating Kp,uu,liver into the PBPK model improved the accuracy of DDI projection.

Effect of Itraconazole and Rifampin on the Pharmacokinetics of Olaparib in Patients With Advanced Solid Tumors: Results of Two Phase I Open-label Studies

PurposeThe metabolism of olaparib, a potent inhibitor of poly(ADP-ribose) polymerase (PARP) with demonstrated efficacy in patients with BRCA-mutated ovarian cancer, is mediated by cytochrome P450 (CYP) enzymes (predominantly CYP3A4/5). We assessed the potential of a CYP3A4 inhibitor (itraconazole) and inducer (rifampin) to alter the pharmacokinetic (PK) profile of olaparib following single oral tablet doses. MethodsTwo Phase I, open-label, non-randomized trials were conducted in patients with advanced solid tumors. In Study 7, patients received olaparib alone and co-administered with itraconazole; in Study 8, a separate group of patients received olaparib alone and co-administered with rifampin. No interaction between itraconazole and olaparib was concluded if two-sided 90% CIs for the treatment ratios of AUC and/or AUC0–t and Cmax fell within the bioequivalence range of 0.80–1.25. An interaction between rifampin and olaparib was concluded if the lower limit of the 90% CI for the treatment ratios was <0.5 (ie, >50% decrease in olaparib AUC or Cmax in the presence of rifampin compared with olaparib alone). FindingsIn Study 7 (N = 59; 17 male, 42 female), 56 and 53 patients were evaluable for PK analysis following treatment with olaparib alone and olaparib plus itraconazole, respectively; in Study 8 (N = 22; 4 male, 18 female), all patients were evaluable. Co-administration of olaparib with itraconazole resulted in a statistically significant increase in the relative bioavailability of olaparib: Cmax treatment ratio, 1.42 (90% CI, 1.33–1.52); mean AUC treatment ratio, 2.70 (90% CI, 2.44–2.97). Mean CL/F and Vz/F were reduced (8.16 vs 3.05 L/h and 192 vs 75.1 L), although mean t½ was unchanged (15.0 vs 15.6 hours). Co-administration of olaparib with rifampin resulted in a statistically significant decrease in the relative bioavailability of olaparib: Cmax treatment ratio, 0.29 (90% CI, 0.24–0.33); mean AUC treatment ratio, 0.13 (90% CI, 0.11–0.16). CL/F and Vz/F were increased when olaparib and rifampin were co-administered (6.36 vs 48.3 L/h and 112 vs 1076 L); however, mean t½ was unchanged (13.0 vs 15.8 hours). Safety data for olaparib following tablet dosing were consistent with the known safety profile. ImplicationsExposure to olaparib was significantly increased when co-administered with the potent CYP3A4 inhibitor itraconazole, and significantly decreased when co-administered with the potent CYP3A4 inducer rifampin, compared with olaparib alone. Potent CYP3A4 enzyme inhibitors and inducers should be avoided during olaparib treatment.ClinicalTrials.gov identifiers: NCT01900028 (Study 7) and NCT01929603 (Study 8).

Evaluation of Cytochrome P450 3A4-Mediated Drug-Drug Interaction Potential for Cobimetinib Using Physiologically Based Pharmacokinetic Modeling and Simulation.

Cobimetinib is eliminated mainly through cytochrome P450 (CYP) 3A4-mediated hepatic metabolism in humans. A clinical drug-drug interaction (DDI) study with the potent CYP3A4 inhibitor itraconazole resulted in an approximately sevenfold increase in cobimetinib exposure. The DDI risk for cobimetinib with other CYP3A4 inhibitors and inducers needs to be assessed in order to provide dosing instructions. A physiologically based pharmacokinetic (PBPK) model was developed for cobimetinib using in vitro data. It was then optimized and verified using clinical pharmacokinetic data and itraconazole-cobimetinib DDI data. The contribution of CYP3A4 to the clearance of cobimetinib in humans was confirmed using sensitivity analysis in a retrospective simulation of itraconazole-cobimetinib DDI data. The verified PBPK model was then used to predict the effect of other CYP3A4 inhibitors and inducers on cobimetinib pharmacokinetics. The PBPK model described cobimetinib pharmacokinetic profiles after both intravenous and oral administration of cobimetinib well and accurately simulated the itraconazole-cobimetinib DDI. Sensitivity analysis suggested that CYP3A4 contributes ~78% of the total clearance of cobimetinib. The PBPK model predicted no change in cobimetinib exposure (area under the plasma concentration-time curve, AUC) with the weak CYP3A inhibitor fluvoxamine and a three to fourfold increase with the moderate CYP3A inhibitors, erythromycin and diltiazem. Similarly, cobimetinib exposure in the presence of strong (rifampicin) and moderate (efavirenz) CYP3A inducers was predicted to decrease by 83 and 72%, respectively. This study demonstrates the value of using PBPK simulation to assess the clinical DDI risk inorder to provide dosing instructions with other CYP3A4 perpetrators.

Pitavastatin Concentrations Are Not Increased by CYP3A4 Inhibitor Itraconazole in Healthy Subjects.

Itraconazole is a synthetic triazole antifungal agent which is known to be a potent inhibitor of cytochrome P450 (CYP) 3A4, and may cause drug-drug interactions with the many drugs metabolized by this route, including some statins. In this study, the influence of concomitant administration of a single oral dose of pitavastatin with itraconazole at steady state was investigated to determine the potential for pharmacokinetic interaction and any effects on safety. Eighteen subjects were enrolled into the study. The AUC and Cmax of pitavastatin alone were 138 ng h/mL and 63.8 ng/mL, and pitavastatin with itraconazole were 106 ng h/mL and 49.5 ng/mL, respectively. Comparison of the 90% confidence interval of the geometric mean ratio of AUC0-t and Cmax against a standard reference of 0.80-1.25 demonstrated that the lower limit was breached for both pitavastatin and its lactone metabolite (0.71-0.84 and 0.69-0.88 for AUC0-t and Cmax , respectively, for pitavastatin, 0.86-0.97 and 0.76-0.86 for AUC0-t and Cmax , respectively, for pitavastatin lactone). The safety and tolerability of pitavastatin was not affected by co-administration with itraconazole. This study suggests that pitavastatin is not a CYP3A4 substrate in humans.

CYP2C8 but not CYP3A4 is important in the pharmacokinetics of montelukast

According to product information, montelukast is extensively metabolized by CYP3A4 and CYP2C9. However, CYP2C8 was also recently found to be involved. Our aim was to study the effects of selective CYP2C8 and CYP3A4 inhibitors on the pharmacokinetics of montelukast. In a randomized crossover study, 11 healthy subjects ingested gemfibrozil 600 mg, itraconazole 100 mg (first dose 200 mg) or both, or placebo twice daily for 5 days, and on day 3, 10 mg montelukast. Plasma concentrations of montelukast, gemfibrozil, itraconazole and their metabolites were measured up to 72 h. The CYP2C8 inhibitor gemfibrozil increased the AUC(0,∞) of montelukast 4.3-fold and its t(1/2) 2.1-fold (P < 0.001). Gemfibrozil impaired the formation of the montelukast primary metabolite M6, reduced the AUC and C(max) of the secondary (major) metabolite M4 by more than 90% (P < 0.05) and increased those of M5a and M5b (P < 0.05). The CYP3A4 inhibitor itraconazole had no significant effect on the pharmacokinetic variables of montelukast or its M6 and M4 metabolites, but markedly reduced the AUC and C(max) of M5a and M5b (P < 0.05). The effects of the gemfibrozil-itraconazole combination on the pharmacokinetics of montelukast did not differ from those of gemfibrozil alone. CYP2C8 is the dominant enzyme in the biotransformation of montelukast in humans, accounting for about 80% of its metabolism. CYP3A4 only mediates the formation of the minor metabolite M5a/b, and is not important in the elimination of montelukast. Montelukast may serve as a safe and useful CYP2C8 probe drug.

Dynamically simulating the interaction of midazolam and the CYP3A4 inhibitor itraconazole using individual coupled whole-body physiologically-based pharmacokinetic (WB-PBPK) models

BackgroundDrug-drug interactions resulting from the inhibition of an enzymatic process can have serious implications for clinical drug therapy. Quantification of the drugs internal exposure increase upon administration with an inhibitor requires understanding to avoid the drug reaching toxic thresholds. In this study, we aim to predict the effect of the CYP3A4 inhibitors, itraconazole (ITZ) and its primary metabolite, hydroxyitraconazole (OH-ITZ) on the pharmacokinetics of the anesthetic, midazolam (MDZ) and its metabolites, 1' hydroxymidazolam (1OH-MDZ) and 1' hydroxymidazolam glucuronide (1OH-MDZ-Glu) using mechanistic whole body physiologically-based pharmacokinetic simulation models. The model is build on MDZ, 1OH-MDZ and 1OH-MDZ-Glu plasma concentration time data experimentally determined in 19 CYP3A5 genotyped adult male individuals, who received MDZ intravenously in a basal state. The model is then used to predict MDZ, 1OH-MDZ and 1OH-MDZ-Glu concentrations in an CYP3A-inhibited state following ITZ administration.ResultsFor the basal state model, three linked WB-PBPK models (MDZ, 1OH-MDZ, 1OH-MDZ-Glu) for each individual were elimination optimized that resulted in MDZ and metabolite plasma concentration time curves that matched individual observed clinical data. In vivo Km and Vmax optimized values for MDZ hydroxylation were similar to literature based in vitro measures. With the addition of the ITZ/OH-ITZ model to each individual coupled MDZ + metabolite model, the plasma concentration time curves were predicted to greatly increase the exposure of MDZ as well as to both increase exposure and significantly alter the plasma concentration time curves of the MDZ metabolites in comparison to the basal state curves. As compared to the observed clinical data, the inhibited state curves were generally well described although the simulated concentrations tended to exceed the experimental data between approximately 6 to 12 hours following MDZ administration. This deviations appeared to be greater in the CYP3A5 *1/*1 and CYP3A5 *1/*3 group than in the CYP3A5 *3/*3 group and was potentially the result of assuming that ITZ/OH-ITZ inhibits both CYP3A4 and CYP3A5, whereas in vitro inhibition is due to CYP3A4.ConclusionThis study represents the first attempt to dynamically simulate metabolic enzymatic drug-drug interactions via coupled WB-PBPK models. The workflow described herein, basal state optimization followed by inhibition prediction, is novel and will provide a basis for the development of other inhibitor models that can be used to guide, interpret, and potentially replace clinical drug-drug interaction trials.

Combined Effects of Itraconazole and CYP2D6*10 Genetic Polymorphism on the Pharmacokinetics and Pharmacodynamics of Haloperidol in Healthy Subjects

This study was to evaluate the combined effects of the CYP3A4 inhibitor itraconazole and the CYP2D6*10 genotype on the pharmacokinetics and pharmacodynamics of haloperidol, a substrate of both CYP2D6 and CYP3A4, in healthy subjects. Nineteen healthy volunteers whose CYP2D6 genotypes were predetermined were enrolled (9 for CYP2D6*1/*1 and 10 for CYP2D6*10/*10). Four subjects (1 for CYP2D6*1/*1 and 3 for CYP2D6*10/*10) did not complete the study because of adverse events. The pharmacokinetics of haloperidol and its pharmacodynamic effects measured for QTc prolongation and neurologic side effects were evaluated after a single dose of 5 mg haloperidol following a pretreatment of placebo or itraconazole at 200 mg/d for 10 days in a randomized crossover manner. Itraconazole pretreatment increased the mean area under the time-concentration curves (AUCs) of haloperidol by 55% compared to placebo pretreatment (21.7 +/- 11.3 vs 33.5 +/- 29.3 ng h/mL). The subjects with CYP2D6*10/*10 genotype showed 81% higher AUC compared to that of subjects with CYP2D6*1/*1 genotype (27.6 +/- 22.2 vs 50.2 +/- 47.1 ng h/mL). In the presence of itraconazole, subjects with CYP2D6*10/*10 showed 3-fold higher AUC of haloperidol compared to that of placebo pretreated subjects with CYP2D6*1/*1 genotype (21.7 +/- 11.3 vs 66.7 +/- 62.1 ng h/mL; P < 0.05). The CYP2D6*10 genotype and itraconazole pretreatment decreased the oral clearance of haloperidol by 24% and 25%, respectively, but without a statistical significance. In the subjects with both CYP2D6*10 genotype and itraconazole pretreatment, however, the oral clearance was significantly decreased to 42% of subjects with wild genotype in the placebo pretreatment (4.7 +/- 3.6 vs 2.0 +/- 1.9 L/h/kg; P < 0.05). Barnes Akathisia Rating Scale (BARS) of subjects with CYP2D6*10/*10 in the presence of itraconazole pretreatment was significantly higher than that of subjects with CYP2D6*1/*1 genotype in the period of placebo pretreatment. Except for this, all other pharmacodynamic estimations did not reach to statistical significance although each CYP2D6*10 genotype and itraconazole pretreatment caused higher value of UKU side effect and BARS scores. The moderate effect of CYP2D6*10 genotype on the pharmacokinetics and pharmacodynamics of haloperidol seems to be augmented by the presence of itraconazole pretreatment.

The CYP 3A4 inhibitor itraconazole has no effect on the pharmacokinetics of i.v. fentanyl

We studied 10 healthy volunteers given itraconazole 200 mg orally, once daily or placebo for 4 days in a crossover study. i.v. fentanyl 3 micrograms kg-1 was given on day 4. Plasma concentrations of fentanyl were measured by radioimmunoassay and ventilatory frequency and peripheral arteriolar oxygen saturation were also measured. Fentanyl-induced subjective effects (drowsiness, itching, nausea, performance, feeling of drug effect) were measured by visual analogue scales. The pharmacokinetics and pharmacodynamics of fentanyl were similar after both itraconazole and placebo. Thus although itraconazole is a strong inhibitor of the cytochrome 3A enzymes responsible for metabolism of fentanyl in vitro, it did not affect the i.v. pharmacokinetics of fentanyl in humans.