Perpetrator Characteristics of Azole Antifungal Drugs on Three Oral Factor Xa Inhibitors Administered as a Microdosed Cocktail.

BACKGROUND: Factor Xa inhibitors (FXaIs) are increasingly used without having sufficient drug-drug interaction data. Using a microdosed cocktail methodology could support filling the knowledge gap quickly.
METHODS: In a randomised crossover trial, we investigated the drug-drug interactions between six oral azole antifungals and a microdosed FXaI cocktail containing 25 µg rivaroxaban, 25 µg apixaban, and 50 µg edoxaban. Additionally, different enzyme activities were also monitored using a microdosed cocktail approach. The six different azole antifungals were administered in therapeutic doses over a 24 h period, while the microdosed cocktails were administered 1 h after administration of the azole antifungals.
RESULTS: Ketoconazole and posaconazole were the strongest perpetrators, showing similar increases as apixaban (area under the concentration-time curve ratio [AUCR] 1.64 and 1.62, respectively) and edoxaban (AUCR 2.08 and 2.1, respectively), whereas ketoconazole increased rivaroxaban 2.32-fold but only increased posaconazole 1.37-fold. All other azole antifungals showed less perpetrator effects on the FXaIs. Cytochrome P450 (CYP) 3A inhibition was confirmed using microdosed midazolam, with ketoconazole also the most potent perpetrator (8.42-fold).
CONCLUSION: Drug-drug interactions for three victim drugs of the same drug class (FXaIs) with different clearance mechanisms can be studied using a microdosed cocktail approach. Using members of the azole antifungal drug class as perpetrators, multiple interactions can be studied in one trial, and a more detailed insight into the underlying interaction mechanisms is possible. CLINICAL TRIAL REGISTRATION: EudraCT number: 2017-004453-16.

Key Points

Introduction

Factor Xa inhibitors (FXaIs) are commonly prescribed anticoagulants. They are usually taken over a long period of time and in combination with various other medications due to comorbidities. Accordingly, knowledge of the possible influence of comedication and its consequences for FXaI dosing is of importance.

Although three FXaIs share the same mechanism of action (rivaroxaban, apixaban and edoxaban), their elimination is quite different, with a greater or lesser extent of cytochrome P450 (CYP)-mediated metabolism and involvement of drug transporters such as P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP). For example, edoxaban is mostly excreted unchanged, with only a minor role of CYP-mediated metabolism [1]. Apixaban metabolism involves mostly CYP3A, with only a minor contribution from CYP1A2, CYP2J2, CYP2C8, CYP2C9, and CYP2C19 [2], while rivaroxaban is metabolised by CYP3A and CYP2J2 [3, 4]. Therefore, drug–drug interactions (DDIs) of FXaIs in clinical practice are not a class phenomenon; rather, members of this drug class must be considered individually. Increased plasma concentrations are associated with an increased risk for bleeding, and decreased plasma concentrations might show reduced efficacy [5, 6]. Therefore, depending on the comedication, the best option would be to choose the specific FXaI that least interacts with the coadministered perpetrator; however, to date, only limited information from comparative interaction studies is available [7]. Coadministration of the strong CYP3A and P-gp inhibitor ketoconazole increased the area under the concentration–time curve (AUC) of apixaban 2.0-fold, 1.9-fold for edoxaban, and 2.6-fold for rivaroxaban [8-10]. Based on these data, the use of the entire class of azole antifungals with rivaroxaban and apixaban is not recommended [11, 12]. Furthermore, in the case of edoxaban, there is no recommendation for azoles except for coadministration with ketoconazole [13].

Azole antifungals are known to differentially inhibit CYPs and drug transporters such as P-gp and BCRP:

Itraconazole: Strong CYP3A and P-gp/BCRP inhibitor [14, 15]

Ketoconazole: Strong CYP3A and P-gp/BCRP inhibitor [14, 15]; additionally, a potent inhibitor of CYP2J2 [16]

Posaconazole: Strong CYP3A and in vitro P-gp/BCRP inhibitor [17]

Voriconazole: Strong CYP3A [14], but not P-gp/BCRP, inhibitor [17, 18]

Fluconazole: Mainly moderate CYP3A [14], but not P-gp/BCRP, inhibitor [17-19]; additionally, a strong CYP2C19 inhibitor and moderate CYP2C9 inhibitor [14]

Isavuconazole: Weak to moderate CYP3A [20] and P-gp inhibitor, but not BCRP inhibitor [21]

We recently suggested the use of a microdosed FXaI cocktail containing edoxaban, apixaban, and rivaroxaban for simultaneous DDI screening [22]. Following this approach, in the present study the influence of six different azole antifungals, each with different perpetrator properties, was tested for their individual inhibitory effect on the three FXaIs. In order to reduce the safety risks of the azoles, the pre-exposure of the perpetrators (azoles) was limited to 1 h before the administration of the victim substances (FXaIs) and the recommended dosing scheme was used for 1 day only. In this way, screening for possible interactions between FXaIs and azoles was carried out using the same conditions to elucidate possible interaction mechanisms.

Methods

The trial protocol (EudraCT 2017-004453-16) was approved by the responsible Ethics Committee of the Medical Faculty of Heidelberg University and the competent authority (BfArM, Germany). The clinical trial was carried out in accordance with the standards of Good Clinical Practice (GCP) and the specific legal requirements of German law, the applicable version of the Declaration of Helsinki, and the International Conference on Harmonisation (ICH) recommendations on GCP. The trial was conducted at the Clinical Research Centre of the Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, which is certified according to DIN EN ISO 9001:2015. All participants gave their written informed consent.

Trial Design

This phase I, single-centre, open-label, seven-part, three-sequence, randomised crossover clinical trial investigated the DDI between six oral azole antifungals and a microdosed FXaI cocktail containing 25 µg rivaroxaban (Xarelto®, Bayer), 25 µg apixaban (Eliquis®, Bristol-Myers Squibb), and 50 µg edoxaban (Lixiana®, Daiichi Sankyo Europe). Additionally, to monitor enzyme activities, a cocktail of 10 µg midazolam (Dormicum®; 5 mg/5 mL solutions for infusion; Roche), 50 µg yohimbine (Yohimbinum hydrochloricum D4®, Deutsche Homöopathie-Union-Arzneimittel), and 100 µg esomeprazole (Nexium®; gastroresistant granules; Astra Zeneca) was administered, together with the FXaI cocktail.

The following oral azole antifungals were used as perpetrators only, over a time period of 24 h:

200 mg itraconazole twice daily (SEMPERA® Kapseln, Jansen-Cilag GmbH)

400 mg voriconazole twice daily (Voriconazol Zentiva®, Zentiva Pharma GmbH)

400 mg fluconazole once daily (Fluconazol HEXAL®, Hexal AG)

400 mg ketoconazole once daily (Ketoconazole HRA®, Laboratoire HRA Pharma)

300 mg posaconazole twice daily (Noxafil®, Merck Sharp & Dohme Ltd)

200 mg isavuconazole three times daily (CRESEMBA®, Pfizer Pharma PFE GmbH)

To assess the baseline pharmacokinetic parameters, in one part of the trial the FXaI cocktail was administered alone. Participants were randomised into three groups (n = 4 participants in each group), each with a different sequence of trial parts. Isavuconazole was always administered last due to its long terminal elimination half-life (t½). The washout period between trial parts was always 6 days.

Oral stock solutions of edoxaban (30 µg/mL), rivaroxaban (25 µg/mL), and apixaban (25 µg/mL) were prepared in compliance with good manufacturing practice (GMP) by the Pharmacy of Heidelberg University Hospital, according to pharmaceutical development protocols approved by the competent authority (BfArM, Germany). Oral solutions were freshly prepared within 30 min prior to administration; 10 mL of oral stock solutions of rivaroxaban and apixaban, as well as 1.66 mL of edoxaban solution, were transferred into 70 mL of tap water in a plastic cup.

Trial Population

Participants were included if they had a good state of health (physically and mentally), a known CYP2C19 genotype, and no clinically relevant findings in medical history, physical examination, electrocardiogram, or routine laboratory analyses, including renal and liver function. However, participants were excluded if they were pregnant or lactating or had any known intolerance or contraindication to any component of the trial medication. No participants had participated in an interventional clinical trial within 30 days prior to inclusion in the study. During the entire study, other medications or substances (except oral contraceptives), including herbal drugs (especially St. John’s wort), smoking, nicotine, grapefruit and other citrus fruits, were not allowed. The same applied to the use of alcohol on trial days, and not more than 20 g of alcohol/day was allowed during the entire trial period. Furthermore, blood donations were not permitted 30 days (males) or 60 days (females) before commencement of the trial, during the trial, and for 2 months thereafter. All participants used two independent contraceptive methods (Pearl index <1%) during the trial and for a further 3-week period.

Trial Conduct

In each trial part, participants arrived fasting (for at least 8 h) and stayed fasting for approximately an additional 5 h. In each trial part, the first dose of the perpetrator was administered 1 h before administration of the FXaI cocktail, and blood samples (4.9 mL lithium heparin tubes) were taken before and 0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, 3, 4, 6, 8, 11, 23, and 24 h after administration of the FXaI cocktail. Urine was collected for 24 h. Blood samples were centrifuged for 10 min at 4 °C and 3600 rpm within 30 min after sampling. Urine samples and separated plasma aliquots were stored at −20 °C until analyses.

Analytical Quantification of Factor Xa Inhibitors (FXaIs), Midazolam, Yohimbine and Azole Antifungals

The FXaI plasma and urine concentrations were quantified by ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC–MS/MS) according to published assays [23]. The method of FXaIs was modified to an ultrasensitive tandem mass spectrometer (Waters Xevo TQ-S, Waters, Germany) to increase sensitivity, as previously described [24]. Urine samples were diluted 1:10 with blank human plasma for analyses. Accuracy and precision values were less than or equal to ± 15%. The lower limits of quantification (LLOQ) were 2.5 pg/mL for all FXaIs.

Midazolam plasma concentrations were quantified by UPLC–MS/MS according to a published assay with an LLOQ of 0.37 pg/mL [25], while yohimbine plasma concentrations were determined using an UPLC–MS/MS assay with an LLOQ of 5 pg/mL [26]. An esomeprazole assay was established, however it was not applied to the plasma samples after we checked the accuracy of the 100 µg dose with the enteric-coated granules, which was not reproducible and inaccurate for unknown reasons.

Plasma azole concentrations were quantified by a UPLC–MS/MS (Waters TQD, Waters, Germany) assay developed earlier for therapeutic drug monitoring (TDM) purposes, and which was validated according to guidelines on bioanalytical method validation. Samples were spiked with stable isotope-labelled internal standards and purified by liquid–liquid extraction. Chromatographic separation was performed on an Acquity UPLC BEH C18 column (Waters, Germany) using a gradient program with UPLC eluents consisting of acetonitrile, 0.1% formic acid, and water. A linear calibration range was established from 0.1 to 25 µg/mL (50 µg/mL for fluconazole and isavuconazole). The LLOQ of all azoles was 0.1 µg/mL. Accuracy and precision values were less than or equal to ± 15%.

All assays fulfilled the pertinent guidelines on bioanalytical method validations from the European Medicines Agency and the US FDA [27, 28].

Calculations and Statistical Analysis

Standard pharmacokinetic parameters of each FXaI were calculated using Kinetica 5.0 (ThermoFisher Scientific, Waltham, MA, USA) in a non-compartmental analysis, and described with descriptive statistics. Calculated parameters included maximum plasma concentration (Cmax), time to Cmax (tmax), area under the plasma concentration–time curve extrapolated to infinity (AUC), apparent volume of distribution based on the terminal phase (Vz/F), apparent oral clearance (CL/F [F = bioavailability]), t½, apparent volume of distribution, renal clearance (CLrenal; expressed as the amount excreted unchanged in urine divided by the AUC), and non-renal clearance (CLnonrenal; as the difference between CL/F and CLrenal). AUC was calculated using a mixed log-linear model. Data are reported as geometric mean along with their lower and upper 95% confidence interval (CI), while Tmax is reported as median and range. A repeated measure analysis of variance (ANOVA) of the logarithmic transformed data was performed to test for differences against each FXaI separately without any azole (baseline), with an α error of 5%. The ratio of AUC at baseline (without azole) and during the azole (AUCR) was calculated separately for each antifungal and reported as AUCRs. The same applies to other ratios. A possible relationship between azole exposure and the corresponding AUCR of the three FXaIs was explored by correlation analysis.

To determine the effect of the azoles on CYP3A activity, the previously established limited sampling method for midazolam was applied to determine midazolam partial metabolic clearance (CLmet) by using midazolam concentrations at 2, 2.5, 3, and 4 h after dosing [29-31]. These data have been previously published [32].

To evaluate the effect of the azole antifungals on other drug-metabolising enzymes, yohimbine (CYP2D6) and esomeprazole (CYP2C19) were coadministered as a microdosed cocktail. No data on esomeprazole are available (see Sect. 2.4). As a CYP2D6 activity measure, yohimbine clearance was determined and compared using repeated measure ANOVA of the logarithmic transformed clearance.

Graphical and statistical analyses were performed using Prism 8.1.1 (GraphPad Software Inc., San Diego, CA, USA). A p value < 0.05 was considered significant.

Results

Twelve healthy volunteers (five females) with a median age of 24.5 years (range 20–48) and a body mass index (BMI) of 24.5 kg/m2 (range 21.9–29.9) completed all study parts (median duration of 45 days [range 44–120]). None of the participants was a CYP2C19 poor metaboliser. All safety data have already been comprehensively reported [32], with voriconazole causing the highest number of adverse events.

Over the observation period of 24 h, no apixaban concentrations were below the LLOQ. Rivaroxaban concentrations below the LLOQ at the 23 and 24 h samples were observed in one volunteer in two study parts, and in another volunteer in six study parts. In five volunteers, edoxaban concentrations were below the LLOQ at 23 and 24 h in two study parts, and in one volunteer in four study parts.

Baseline Microdosed FXaIs

The detailed pharmacokinetics of the microdosed FXaIs are shown in Tables 1, 2, 3.

Table 1

Pharmacokinetic parameters of apixaban after a single oral 25 µg dose alone and during treatment with different azole fungistatic drugs in 12 healthy volunteers

Apixaban	Baseline	Itraconazole	Voriconazole	Fluconazole	Ketoconazole	Posaconazole	Isavuconazole
Cmax [pg/mL]	943 (775–1149)	1369* (1185–1581)	1168ns (998–1367)	984ns (803–1206)	1415* (1277–1568)	1486* (1298–1702)	1360* (1134–1632)
AUC∞ [ng/mL min]	448 (364–551)	635* (544–741)	555* (471–654)	492ns (415–583)	735* (647–834)	725* (647–812)	594* (507–696)
CL/F [mL/min]	55.9 (45.4–68.7)	39.4* (33.7–45.9)	45.0* (38.2–53.0)	50.8ns (42.9–60.2)	34.0* (30.0–38.7)	34.5* (30.8–38.7)	42.1* (35.9–49.3)
Ae [% of dose]	23.0 (17.9–29.5)	31.7* (26.8–37.5)	27.8ns (23.2–33.2)	25.4ns (21.2–30.5)	31.9* (27.2–37.4)	39.0* (32.7–46.7)	34.0* (26.6–43.6)
CLrenal [mL/min]	13.8 (10.7–17.8)	13.4ns (12.0–15.1)	13.5ns (11.6–15.8)	13.8ns (12.5–15.1)	11.8ns (10.1–13.7)	14.7ns (12.8–16.9)	15.1ns (13.2–17.3)
CLnonrenal [mL/min]	40.9 (31.7–52.7)	25.3* (20.3–31.6)	30.9* (25.0–38.1)	36.4ns (28.9–45.8)	21.8* (18.2–26.1)	18.9* (15.2–23.5)	25.6* (19.4–33.9)
t½ [min]	388 (341–442)	390ns (360–422)	398ns (369–429)	355ns (314–401)	386ns (332–447)	420ns (378–466)	348ns (323–374)
Vz/F [L]	31.3 (25.3–38.7)	22.1* (19.5–25.2)	25.8ns (22.2–30.1)	26.0ns (22.3–30.4)	18.9* (17.2–20.9)	20.9* (18.2–24.0)	21.1* (17.8–25.0)
Vss/F [L]	28.3 (23.0–34.7)	20.1* (17.7–22.8)	23.8ns (20.6–27.6)	25.6ns (22.0–29.7)	18.5* (17.1–20.0)	18.7* (16.2–21.6)	19.8* (16.9–23.3)
tmaxa [min]	60.0ns (30.0–180)	82.5ns (45.0–150)	75.0ns (45.0–120)	90.0ns (45.0–180)	52.5ns (30.0–180)	90.0ns (45.0–150)	90ns (45–180)

Data are expressed as geometric mean (95% CI) unless otherwise specified

Ae amount excreted in urine as parent drug, AUC area under the concentration–time curve extrapolated to infinity, CI confidence interval, CL/F apparent oral clearance, CL renal clearance, CL non-renal clearance, C peak concentration, ns non-significant, t time to Cmax, t terminal elimination half-life, V/F volume of distribution at steady state, V/F apparent volume of distribution

Test against baseline: ns

*p < 0.05

aMedian and range

Table 2

Pharmacokinetic parameters of edoxaban after a single oral 50 µg dose and during treatment with different azole fungistatic drugs in 12 healthy volunteers

Edoxaban	Baseline	Itraconazole	Voriconazole	Fluconazole	Ketoconazole	Posaconazole	Isavuconazole
Cmax [pg/mL]	132 (110–158)	272* (235–315)	164* (135–199)	136ns (109–170)	326* (274–389)	284* (213–378)	210* (169–262)
AUC∞ [ng/mL min]	51.7 (41.2–64.8)	96.0* (84.3–109)	65.8* (55.4–78.0)	59.4ns (50.0–70.6)	107* (86.8–132)	108* (84.1–139)	78.3* (68.5–89.7)
CL/F [mL/min]	968 (772–1214)	521* (458–593)	760* (641–902)	842ns (708–1001)	467* (378–576)	462* (359–595)	638* (558–731)
Ae [% of dose]	21.4 (17.1–26.8)	39.1* (35.4–43.3)	28.1* (24.3–32.5)	24.4ns (20.9–28.6)	39.0* (33.3–45.5)	38.3* (31.8–46.0)	33.3* (27.2–40.6)
CLrenal [mL/min]	211 (175–280)	211ns (187–237)	228ns (201–259)	218ns (197–241)	188ns (168–211)	185ns (161–213)	219ns (194–248)
CLnonrenal [mL/min]	732 (565–949)	306* (257–365)	526* (426–649)	617ns (498–763)	272* (205–361)	268* (192–373)	405* (327–503)
t½ [min]	295 (246–355)	306ns (280–334)	292ns (240–355)	287ns (237–346)	253ns (219–293)	303ns (260–352)	274ns (246–304)
Vz/F [L]	412 (342–497)	230* (204–260)	320ns (258–398)	348ns (294–4123)	171* (145–201)	202* (170–240)	252* (208–305)
Vss/F [L]	397 (325–485)	202* (176–231)	319ns (261–389)	361ns (305–428)	167* (142–198)	188* (151–235)	245* (203–296)
tmaxa [min]	60.0 (30.9–180)	52.5ns (30.0–120)	67.5ns (30.0–120)	52.5ns (30.0–180)	30.0ns (15.0–90.0)	67.5ns (30.0–120)	90.0ns (45.0–180)

Data are expressed as geometric mean (95% CI) unless otherwise specified

Test against baseline: ns

Ae amount excreted in urine as parent drug, AUC area under the concentration–time curve extrapolated to infinity, CI confidence interval, CL/F apparent oral clearance, CL renal clearance, CL non-renal clearance, C peak concentration, ns non-significant, t time to Cmax, t terminal elimination half-life, V/F volume of distribution at steady state, V/F apparent volume of distribution

*p < 0.05

aMedian and range

Table 3

Pharmacokinetic parameter of rivaroxaban after a single oral 25 µg dose and during treatment with different azole fungistatic drugs in 12 healthy volunteers

Rivaroxaban	Baseline	Itraconazole	Voriconazole	Fluconazole	Ketoconazole	Posaconazole	Isavuconazole
Cmax [pg/mL]	822 (711– 952)	1093* (927–1290)	902ns (753–1081)	972ns (828–1141)	1388* (1182–1631)	1146* (967–1358)	871ns (741–1023)
AUC∞ [ng/mL min]	218 (180–264)	321* (268–385)	254* (210–306)	277* (241–318)	506* (425–604)	299* (247–362)	247ns (209–293)
CL/F [mL/min]	115 (94.7–139)	77.8* (65.0–93.1)	98.5* (81.5–119)	90.3* (78.7–104)	49.4* (41.4–58.9)	83.5* (69.1–101)	101ns (85.5–120)
Ae [% of dose]	38.7 (30.4–49.4)	50.0* (43.9–56.8)	39.7ns (33.1–47.6)	43.5ns (38.6–49.1)	46.6* (38.8–55.9)	51.5* (44.5–59.5)	36.3ns (28.6–46.0)
CLrenal [mL/min]	45.5 (31.0–66.9)	40.0ns (32.5–49.4)	40.4ns (30.5–53.6)	40.4ns (33.9–48.1)	24.3* (18.4–32.1)	44.4ns (35.1–56.1)	37.3ns (29.0–47.9)
CLnonrenal [mL/min]	65.5 (54.6–78.6)	36.4* (28.8–46.0)	56.0ns (45.1–69.5)	48.7* (40.7–58.3)	23.9* (19.6–29.1)	37.0* (28.6–47.9)	60.9ns (48.8–76.0)
t½ [min]	284 (237–341)	302ns (269–339)	287ns (232–355)	271ns (246–299)	346ns (295–406)	282ns (231–343)	254ns (224–290)
Vz/F [L]	47.0 (38.9–56.8)	33.9* (28.7–40.1)	40.7ns (33.1–50.2)	35.4* (31.1–40.2)	24.7* (21.8–27.9)	33.9* (28.5–40.4)	37.1ns (32.4–42.5)
Vss/F [L]	35.8 (31.0–41.4)	26.6* (21.7–32.5)	33.8ns (28.6–40.0)	29.4* (25.9–33.5)	22.2* (19.5–25.2)	26.6* (22.2–32.0)	31.3ns (27.6–35.5)
tmaxa [min]	37.5 (30.0–90.0)	45.0ns (30.0–90.0)	45.0ns (30.0–90.0)	37.5ns (30.0–120)	30.0ns (15.0–150)	30.0ns (30.0–75.0)	45.0ns (30.0–120)

Data are expressed as geometric mean (95% CI) unless otherwise specified

Test against baseline: ns

Ae amount excreted in urine as parent drug, AUC area under the concentration–time curve extrapolated to infinity, CI confidence interval, CL/F apparent oral clearance, CL renal clearance, CL non-renal clearance, C peak concentration, ns non-significant, t time to Cmax, t terminal elimination half-life, V/F volume of distribution at steady state, V/F apparent volume of distribution

*p < 0.05

aMedian and range

Apixaban and Azole Antifungals

Compared with baseline, AUC and Cmax were significantly increased under treatment with ketoconazole (AUC 1.64-fold; Cmax 1.5-fold), posaconazole (AUC 1.62-fold; Cmax 1.58-fold), itraconazole (AUC 1.42-fold; Cmax 1.45-fold) and isavuconazole (AUC 1.33-fold; Cmax 1.44-fold). Voriconazole significantly increased AUC (1.24-fold) but not Cmax (1.24-fold), while fluconazole did not significantly alter apixaban pharmacokinetics. None of the azoles significantly changed tmax or t½ (Fig. 1). With the exception of fluconazole, all other azoles resulted in a significant reduction in total and non-renal clearance (Table 1). The amount excreted in urine as unchanged apixaban (Ae) increased significantly when treated with posaconazole (1.7-fold), isavuconazole (1.48-fold), ketoconazole (1.39-fold), and itraconazole (1.38-fold); however, none of the azoles affected CLrenal.

Fig. 1

Apixaban plasma concentration-time curves after administration of apixaban 25 µg alone (baseline; red points and dotted line) and during coadministration with different azole fungistatic drugs (itraconazole: yellow squares and line; voriconazole: light green upside triangles and line; fluconazole: dark green quadrates; ketoconazole: orange points; posaconazole: light blue hexagons; isavuconazole: purple downside triangles and line) in linear and logarithmic presentation. Error bars (standard deviation) are only presented for the baseline part for clarity reasons

Edoxaban and Azole Antifungals

Compared with baseline, AUC and Cmax were significantly increased under treatment with ketoconazole (AUC 2.08; Cmax 2.47-fold), posaconazole (AUC 2.1; Cmax 2.15-fold), itraconazole (AUC 1.52; Cmax 1.59-fold), voriconazole (AUC 1.27; Cmax 1.24-fold) and isavuconazole (AUC 1.52; Cmax 1.59-fold) [Table 2]. Fluconazole did not alter any of the pharmacokinetic parameters of edoxaban. All other azoles reduced total and non-renal apparent clearance, without changing CLrenal (Table 2). None of the azoles significantly influenced tmax and t½ (Fig. 2). Compared with baseline, the total clearance was 47.4% lower with ketoconazole, 44% lower with posaconazole, 42.7% lower with itraconazole, 30.6% lower with isavuconazole and 19.1% lower with voriconazole.

Fig. 2

Edoxaban plasma concentration-time curves after administration of edoxaban 50 µg alone (baseline; red points and dotted line) and during coadministration with different azole fungistatic drugs (itraconazole: yellow squares and line; voriconazole: light green upside triangles and line; fluconazole: dark green quadrates; ketoconazole: orange points; posaconazole: light blue hexagons; isavuconazole: purple downside triangles and line) in linear and logarithmic presentation. Error bars (standard deviation) are only presented for the baseline part for clarity reasons

Rivaroxaban and Azole Antifungals

Rivaroxaban AUC and Cmax were significantly increased under treatment with ketoconazole (AUC 2.32-fold; Cmax 1.69-fold), itraconazole (AUC 1.47-fold; Cmax 1.33-fold) and posaconazole (AUC 1.37-fold; Cmax 1.39-fold) compared with baseline (Fig. 3). Voriconazole and fluconazole significantly increased AUC (1.16-fold and 1.27, respectively) but Cmax was not altered. No significant changes in the rivaroxaban pharmacokinetic parameters were observed during treatment with isavuconazole (Table 3). All other fungistatic drugs significantly decreased the total clearance of rivaroxaban, i.e. ketoconazole by 56%, itraconazole by 31%, posaconazole by 25%, fluconazole by 20%, and voriconazole by 13. While posaconazole (1.33-fold), itraconazole (1.29-fold) and ketoconazole (1.2-fold) significantly increased Ae, only ketoconazole led to a significant reduction in CLrenal (−48.2%, 95% CI 37.1–57.3%). No significant changes in tmax and t½ were observed during treatment with the azoles.

Fig. 3

Rivaroxaban plasma concentration-time curves after administration of rivaroxaban 25 µg alone (baseline; red points and dotted line) and during coadministration with different azole fungistatic drugs (itraconazole: yellow squares and line; voriconazole: light green upside triangles and line; fluconazole: dark green quadrates; ketoconazole: orange points; posaconazole: light blue hexagons; isavuconazole: purple downside triangles and line) in linear and logarithmic presentation. Error bars (standard deviation) are only presented for the baseline part for clarity reasons

Comparison between the Three Different FXaIs

A single oral dose of any azole administered 1 h before microdosed midazolam resulted in potent CYP3A inhibition. The CL/F values of the FXaIs during treatment with different azoles (expressed as a percentage of baseline CL/F) are shown in Fig. 4, together with the concurrently observed midazolam clearances as previously reported [32].

Fig. 4

Radar chart of the apparent oral clearances of apixaban (green circles), edoxaban (blue squares), rivaroxaban (red diamonds), and the metabolic clearance of midazolam (orange triangles) in relation to the different azole fungistatic drugs

No significant changes in CYP2D6 activity by the different azole antifungals were observed. The effect of different azole perpetrator drugs on yohimbine CL/F is demonstrated in Fig. 5. There were no CYP2D6 poor metabolisers in this study.

Fig. 5

Effect of different azole perpetrator drugs on yohimbine clearance (geometric mean and 95% confidence interval) in relation to baseline clearance; the dashed line depicts the baseline clearances for reason of comparison. CL/F apparent oral clearance

Pharmacokinetics of Azole Antifungals

The plasma concentration–time profiles of voriconazole, itraconazole, fluconazole, ketoconazole, posaconazole, and isavuconazole were determined. The washout period of 6 days was sufficient for all azole antifungals since no measurable concentrations from the previous part of the study were found in the predose samples, except for fluconazole, where, in 9 of 12 participants, concentrations close to the LOQ were measured in the predose samples of the following study part. Most of the itraconazole concentrations were below the LLOQ, with no AUC calculation performed. No correlation was found between the exposure (AUClast) of each azole and the corresponding AUCR of each FXaI, which is demonstrated representatively for ketoconazole (electronic supplementary Fig. 1).

Discussion

With this single trial, a large amount of data could be collected effectively and with reduced safety risk. We have recently shown that the pharmacokinetics of microdosed FXaIs are comparable with the pharmacokinetics after a therapeutic dose [22]. Also in this trial, FXaI pharmacokinetics are in good agreement with earlier findings [22, 24], with only minor deviations. The slightly lower Ae values of edoxaban and rivaroxaban are likely due to the shorter urine sampling period (24 vs. 48 h). The 30% higher average CL/F of edoxaban compared with published values from 18 study participants [24] seems relevant, but the observed individual CL/F of 600–2200 mL/min in this study is in a very similar range to the previous study (490–1460 mL/min) [24]. All results are interpreted recognising that the azole antifungals exhibit competitive or mixed-type inhibition [33, 34], although some in vitro data point towards time-dependent (mechanism-based) inhibition for itraconazole and posaconazole [35]. A recently developed physiologically based pharmacokinetic (PBPK) model for posaconazole to simulate drug interactions, with posaconazole as the perpetrator, has used competitive CYP3A inhibition [36].

Apixaban

The effect of ketoconazole on apixaban pharmacokinetics was confirmed in this study, with a slightly smaller increase in AUC and Cmax (1.64-fold and 1.5-fold, respectively) compared with the published data with similar perpetrator doses but longer pretreatment (1.99 and 1.6-fold, respectively) [8]. This can be explained by the difference in the study design because the exposure with ketoconazole in this study was only a single oral dose of 400 mg administered 1 h before the FXaI cocktail, whereas in the earlier trial. ketoconazole was started 24 h before administration of the victim drug [8]. In line with these findings is also the observation that t½ in the earlier trial was 2.5 h longer, whereas it was unchanged in our trial. The inhibition of CYP3A4 and intestinal P-gp/BCRP are considered to be the major mechanisms for this interaction [37]. In contrast, fluconazole and voriconazole are regarded as moderate and strong inhibitors of CYP3A without effects on P-gp/BCRP. Because fluconazole had no effect, and voriconazole had little effect, on apixaban pharmacokinetics, the contribution of CYP3A to the interaction is probably small and a more important role is played by P-gp/BCRP as a target structure. Isavuconazole, as only a weak to moderate inhibitor of CYP3A but with weak inhibitory effect on P-gp (but not BCRP) [21], resulted in a 1.33-fold increase in AUC and 1.44-fold increase in Cmax. This is in the range of the reported effect of clarithromycin (strong CYP3A and P-gp inhibitor), naproxen (P-gp inhibitor, CYP3A and BCRP are unclear) and diltiazem (moderate CYP3A and P-gp inhibitor), with increases in AUC and Cmax in the range of 1.4- to 1.6-fold and 1.3- to 1.5 fold, respectively [8, 38, 39].

Besides CYP3A, apixaban is metabolised by multiple other CYP enzymes [2], but with only a small (6%) contribution to the overall elimination [7], explaining the absence of fluconazole effects (strong CYP2C19, moderate CYP2C9 inhibitor) in the present trial.

In summary, these findings suggest that a relevant interaction with apixaban can only be achieved if multiple elimination pathways are modified, and if one of them is intestinal P-gp/BCRP. At least for the most frequently used azole fluconazole, a combination with FXaIs does not appear unlikely. Overall, the clinical relevance of these changes is unclear because large epidemiological studies either found no altered safety profile of apixaban [40] or substantially increased the risks for major bleeding [41]. There is no epidemiologic evidence for any of the other azoles, but given the much larger change in apixaban pharmacokinetics, an effect seems more likely, at least if they are combined for longer periods.

Edoxaban

Evidence from other DDI studies suggests that changes in edoxaban pharmacokinetics in DDIs are primarily caused by altered P-gp activity in the intestinal wall [42], which is also likely to be responsible for its limited bioavailability of approximately 62% [43]. In contrast, CYP-mediated metabolism is only responsible for a small part of the elimination (< 4%). About 50% of a dose is excreted unchanged in the faeces and approximately 24% is eliminated unchanged in the urine [1].

As expected, no change in edoxaban pharmacokinetics by fluconazole was observed. Furthermore, voriconazole was expected to be without effect because there is no known transporter inhibition. However, our trial revealed a minor, albeit significant, increase in AUC, with a corresponding decrease in CL/F and increase in Ae. Concurrently, CLrenal was unchanged, suggesting that the alteration was likely caused by a change in bioavailability. This is in contrast to an exploratory study in six healthy volunteers, where voriconazole did not alter edoxaban pharmacokinetics despite 1 day of pretreatment with the perpetrator [22]. This might be due to the small number of participants. CYP3A-mediated metabolism of edoxaban is only responsible for a very small percentage of elimination and therefore cannot explain the observed effect size. However, since voriconazole concentrations in the gut are high, inhibition of the intestinal wall CYP3A may be contributing to the minor interaction with edoxaban.

The observed effects of isavuconazole, itraconazole and posaconazole are in line with the hypothesis of increased bioavailability by intestinal P-gp and BCRP inhibition. All three drugs increased edoxaban renal elimination (71%, 94%, and 97%, respectively) but did not increase CLrenal and half-life. Because edoxaban is also actively renally secreted via P-gp/BCRP [1], the unchanged CLrenal is surprising. Similar observations were made in a DDI study using a single dose of rifampicin and cobicistat [22]. Because intestinal perpetrator concentrations are much higher than the subsequent plasma concentrations, intestinal rather than renal P-gp inhibition of edoxaban transport may predominate.

Our results are in line with other interaction studies using cyclosporine, erythromycin, dronedarone and quinidine as P-gp and BCRP inhibitors with 1.7- to 1.9-fold increases in AUC [9, 44]. The label currently recommends a dose reduction from 60 to 30 mg when edoxaban is coadministered with ketoconazole, dronedarone, cyclosporine and erythromycin [13]. On the basis of the observed pharmacokinetic changes, a similar recommendation should also be considered for itraconazole and posaconazole.

The relative contribution of BCRP compared with P-gp has not yet been conclusively determined. In vitro findings suggest an approximately equal contribution of the transporters [45], but P-gp and BCRP generally show a large substrate overlap [46]. Isavuconazole as an inhibitor of P-gp, but likely not BCRP [21], led to an increase in AUC and Cmax by 1.5-fold and 1.6-fold, respectively. Despite the short pre-exposure, itraconazole, and especially posaconazole, led to a similar effect on the pharmacokinetics of edoxaban (doubling of AUC and Cmax) as ketoconazole underlined the high inhibitory potential of both compounds on the transporters.

Rivaroxaban

Rivaroxaban has a high bioavailability of 80–100%, which is indicative for low presystemic elimination and very limited involvement of intestinal P-gp/BCRP and CYP3A. Accordingly, DDIs are more likely to change the partial clearances of rivaroxaban, which are mediated by CYP3A (approximately 18% of a dose), CYP2J2 (approximately 14%), non-enzymatic hydrolysis (approximately 14%), and P-gp/BCRP-dependent active renal secretion (approximately 30% of a dose) [3, 10]. The effect of ketoconazole (AUC and Cmax increase of 2.3 and 1.7, respectively) in this study was very similar to published data, with AUC and Cmax increases of 2.6 and 1.7, respectively [10] or 2.3 and 1.5, respectively [24], despite the shorter pre-exposure. Moreover, ketoconazole was the only perpetrator able to reduce the CLrenal of rivaroxaban, which was also observed in all previous studies [10, 24]. The influence of ketoconazole on CYP2J2 seems to be likely due to the magnitude of the interaction and the observed strong in vitro inhibition [47]. Interestingly, the effect of posaconazole and itraconazole as CYP3A and P-gp/BCRP inhibitors was less pronounced, which, in the case of itraconazole, may be due to the fact that it appears to not inhibit CYP2J2 [48], and also because the inhibitors were not administered to steady-state. For posaconazole, this could have resulted from the methodological limitations of the study, which were also reflected in the lower CYP3A inhibition [32].

Based on other interaction studies, only simultaneous strong CYP3A and P-gp/BCRP inhibitors are expected to have clinically relevant interactions with rivaroxaban [4]. Isavuconazole did not alter any pharmacokinetic parameters of rivaroxaban, while the impact of voriconazole was minimal and is in line with recently published data [22]. Fluconazole reduced rivaroxaban CL/F by 20.3%, which is similar to the observed reduction for a therapeutic dose of rivaroxaban (29%) [10]. However, a longer pre-exposure period (4 days) was used in this study, which might also be the reason for the discrepancy in rivaroxaban CLrenal, which was reduced by 20% [10], whereas in our trial it was unchanged.

In clinical practice, an increased frequency in major bleeding during administration of dabigatran, rivaroxaban or apixaban with fluconazole, but not with itraconazole, posaconazole, voriconazole and ketoconazole, was observed based on a retrospective study of 91,330 Taiwanese patients [41]. This observation has already been criticised for methodological deficiencies [49-52], and the pharmacokinetic results of our trial do not support this observation and other large epidemiological trials. A recent systematic review and meta-analysis of studies that randomised patients with atrial fibrillation to FXaIs or warfarin found that the combination of rivaroxaban with more than one combined P-gp and CYP3A4 inhibitor was associated with a higher bleeding risk compared with warfarin (risk ratio (RR) 1.37, 95% CI 1.01–1.85; p = 0.04), whereas no interaction was found between apixaban and warfarin [40].

Cytochrome P450 Activity Assessment

Microdosed probe drugs for certain CYP enzymes such as midazolam and yohimbine (CYP3A and CYP2D6) can be used in DDI studies to monitor the effects of perpetrators on selective enzymes. The effects of the azoles on CYP3A activity are already known, but some of the observed differences may be due to the 1 h pre-exposure period of the perpetrators, resulting in a submaximal systemic inhibitor effect. To date, the effect of the different azole antifungals on CYP2D6 activity in vivo has not been studied, except for isavuconazole. A small increase (< 20%) in dextromethorphan exposure with multiple doses of isavuconazole was interpreted to most likely result from the inhibition of CYP3A4 [53]. From the data obtained, it can be concluded that no significant DDIs with any predominant CYP2D6 substrates will be caused by the azole antifungals.

Limitations

An important limitation of the trial is that the design was not intended to elicit a worst-case scenario or the maximum possible inhibition. Only a single dose of the azole antifungals as perpetrators was administered just 1 h before the microdosed FXaIs. The maximum inhibitory potential in the liver was therefore not achieved, whereas in the gut wall, local concentrations were certainly high enough to exert maximum inhibitor effects. Not all of the azole antifungals have a short tmax; maximum plasma concentrations of posaconazole tablets are reached after 4–5 h, and after 3 h for isavuconazole. Most itraconazole concentrations after the first 200 mg dose were below the LLOQ of the TDM assay, which can be explained by the substantially lower concentrations of itraconazole when administered in a fasting state [54] and the non-linear pharmacokinetics at steady-state usually achieved after 14 days [55]. To acknowledge this limitation, the inhibitory potential of the azoles for CYP3A was monitored by the surrogate of the midazolam CLmet. As anticipated, a smaller extent of CYP3A inhibition, compared with earlier trials, was observed. The extent of the inhibition of other CYPs, such as CYP2J2, and P-gp/BCRP remains unclassified. The consideration of the interaction mechanisms is probably incomplete; other, so far unknown, mechanisms or other transporters might possibly also play a role in these interactions. This study was conducted in healthy volunteers, and extrapolation to patients must consider additional influencing factors.

Conclusion

This study demonstrates the possibility to elucidate DDIs for three victim drugs with different clearance mechanisms administered as a microdosed cocktail (FXaIs). Using members of the azole fungistatic drug class as perpetrators, a more detailed insight into the underlying interaction mechanisms is possible. The study design was not optimised for maximum possible effects, rather a 24 h dosing of the different perpetrators was chosen, together with a 1 h pre-exposure period before administration of the victim drug. None of the interactions observed was greater than a 2.5-fold exposure increase. Therefore, only preliminary dose recommendations can be suggested for a clinical setting in patients, but most of these studied DDIs might be manageable by a dose reduction.

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 47 kb)

This is the first study that demonstrates the perpetrator characteristics of all available oral azole antifungal drugs on three microdosed oral factor Xa inhibitors (FXaIs).

Of the azoles, ketoconazole showed the strongest inhibitory effects on all three oral FXaIs; however, the largest clearance reduction (46%) was observed with edoxaban following coadministration with posaconazole.

These drug–drug interactions will be clinically manageable, with a dose reduction by half, at the most, although some combinations are not recommended by the manufacturers.