Literature DB >> 29500603

Effects of Ketoconazole and Rifampicin on the Pharmacokinetics of Nintedanib in Healthy Subjects.

Doreen Luedtke1, Kristell Marzin2, Arvid Jungnik2, Ute von Wangenheim2, Claudia Dallinger2.   

Abstract

BACKGROUND: Nintedanib is a substrate for p-glycoprotein which can impact bioavailability. We investigated the effects of ketoconazole, a p-glycoprotein inhibitor, and rifampicin, a p-glycoprotein inducer, on the pharmacokinetics of nintedanib.
METHODS: In the ketoconazole study, 34 healthy subjects received nintedanib 50 mg orally alone and 1 h after the last dose of ketoconazole given orally at a dose of 400 mg once daily for 3 days in 1 of 2 randomized sequences. In the rifampicin study, 26 subjects received nintedanib 150 mg orally alone and the morning after the last dose of rifampicin given orally at a dose of 600 mg once daily for 7 days. The primary objective was to determine the relative bioavailability of nintedanib administered following multiple doses of ketoconazole or rifampicin versus alone, based on AUC from time 0 extrapolated to infinity (AUC0-∞) and maximum concentration (Cmax) calculated using an analysis of variance. Geometric mean ratios and 2-sided 90% CIs were calculated.
RESULTS: Exposure to nintedanib increased when it was administered following ketoconazole versus alone (AUC0-∞: geometric mean ratio, 160.5% [90% CI, 148.2-173.7]; Cmax: geometric mean ratio, 179.6% [90% CI, 157.6-204.8]) and decreased when it was administered following rifampicin versus alone (AUC0-∞: geometric mean ratio, 50.1% [90% CI, 47.2-53.3]; Cmax: geometric mean ratio, 59.8% [90% CI, 53.8-66.4]). The time to reach Cmax (tmax) and half-life (t½) of nintedanib were unaffected by co-administration of ketoconazole or rifampicin.
CONCLUSIONS: Exposure to nintedanib is increased by co-administration of ketoconazole and decreased by co-administration of rifampicin, likely due to effects on bioavailability of the absorbed fraction. ClinicalTrials.govidentifiers:NCT01679613, NCT01770392.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29500603      PMCID: PMC6133080          DOI: 10.1007/s13318-018-0467-9

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


Key Points

Introduction

Nintedanib (formerly known as BIBF 1120) is a potent intracellular inhibitor of tyrosine kinases [1, 2]. Nintedanib has been approved for the treatment of idiopathic pulmonary fibrosis (IPF) at an oral dose of 150 mg twice daily in several countries and regions including the US and Europe [3, 4] and has been approved at an oral dose of 200 mg twice daily in Europe for the treatment of non-small cell lung cancer with adenocarcinoma histology in combination with docetaxel [5]. The pharmacokinetics of nintedanib are comparable in healthy volunteers, patients with solid tumors [6-9], and patients with IPF [10]. Following oral administration, nintedanib is rapidly absorbed and reaches maximum plasma concentration after approximately 2–4 h; steady state is reached within 7 days of dosing [3-5]. Nintedanib displays at least biphasic disposition kinetics, with a terminal half-life of 10–15 h [9]. Nintedanib has a high total clearance (geometric mean 1390 mL/min) and a high volume of distribution (geometric mean 1050 L) [9]. All pharmacokinetic variables show moderate to high variability (geometric coefficient of variation [gCV] > 30%). The absolute bioavailability of nintedanib 100 mg in healthy volunteers is approximately 5%, with the percentage absorbed estimated to be 23%, confirming the large amount of metabolites formed during first pass metabolism [9]. The prevalent metabolic reaction for nintedanib is hydrolytic cleavage by esterases, resulting in the free acid moiety BIBF 1202 [3-5]. BIBF 1202 is subsequently glucuronidated by UGT enzymes, namely UGT 1A1, UGT 1A7, UGT 1A8, and UGT 1A10, to BIBF 1202 glucuronide. Only a minor extent of the biotransformation of nintedanib involves CYP pathways, with CYP3A4 being the predominant enzyme involved. In an absorption, distribution, metabolism, and elimination study conducted in healthy volunteers, the major CYP-dependent metabolite could not be detected in plasma. In vitro, CYP-dependent metabolism accounts for about 5% and ester cleavage for about 25% [3–5, 11]. However, nintedanib is a substrate for p-glycoprotein (P-gp) [3-5], which may be one factor influencing its low bioavailability [12]. Ketoconazole is an in vivo inhibitor of P-gp and CYP3A4 and rifampicin is an in vivo inducer of P-gp and CYP3A4 [12]. We conducted two studies to investigate the effects of ketoconazole and rifampicin on the pharmacokinetics of nintedanib to elucidate the effect of P-gp on the bioavailability of nintedanib.

Methods

Two single-center, open-label studies were undertaken in healthy subjects, one to determine the relative bioavailability of nintedanib (OFEV®, Boehringer Ingelheim Pharma GmbH & Co. KG, Germany) administered following multiple doses of ketoconazole (Polfarmex® S.A., Kutno, Poland) versus alone (ketoconazole study) and the other to determine the relative bioavailability of nintedanib administered following multiple doses of rifampicin (Eremfat®, Riemser Arzneimittel AG, Germany) versus alone (rifampicin study). Both clinical trial protocols were approved by the local independent ethics committee (Landesärztekammer Baden-Württemberg, Stuttgart, Germany) and the German Competent Authority (Bundesinstitut für Arzneimittel und Medizinprodukte, Bonn, Germany). The studies were conducted in accordance with the Declaration of Helsinki and the International Conference on Harmonization Tripartite Guideline for Good Clinical Practice. Written informed consent was provided by every subject prior to entering the study.

Subjects

In both studies, healthy male subjects aged 18–55 years with a body mass index (BMI) of 18.5–29.9 kg/m2 were eligible to participate. Exclusion criteria included any clinically relevant laboratory values or findings on medical examination; cardiovascular, hepatic, hormonal, immunologic, renal, respiratory, metabolic, and gastrointestinal disorders; diseases of the central nervous system; psychiatric disorders; neurologic disorders; chronic or relevant acute infections; any other clinically relevant disease; history of orthostatic hypotension, fainting spells, blackouts; allergy/hypersensitivity; and alcohol or drug abuse.

Study Design

The ketoconazole study was an open-label, 2-way crossover study comprising two periods: a pilot period and a main study period. In the pilot period, eight healthy subjects received nintedanib 50 mg alone and 1 h after the last dose of ketoconazole administered at a dose of 400 mg once daily for 3 days, in 1 of 2 randomized treatment sequences. Randomization was undertaken using a computer-generated random code using a validated system involving a pseudo-random number generator and a supplied seed number to ensure that the allocation of subjects to treatment sequences was reproducible and non-predictable. Each dose of nintedanib was separated by a period of ≥ 14 days. A 50 mg dose of nintedanib was administered during the pilot period to ensure that exposure was not greater than that achieved with the 150 mg dose even if inhibition of P-gp by ketoconazole resulted in a greater than twofold increase in exposure. The tolerability of a 150 mg dose of nintedanib had been established in earlier trials [6-8]. According to the protocol, if acceptable safety and tolerability were confirmed during the pilot period, 26 different subjects were to receive nintedanib alone and with ketoconazole (400 mg once daily for 3 days) in 1 of 2 randomized treatment sequences in the main study period. The sample size of 26 healthy volunteers was determined for a precise estimation of the relative bioavailability ratio in terms of a desired precision represented by the half-width of the 90% confidence interval of the point estimate on the logarithmic scale. Based on an intra-individual variability (gCV) of 40% as observed in a previous trial, a 90% confidence interval for the ratio of the geometric means (test/reference) for the maximum concentration of drug in plasma (Cmax) would be obtained with a probability of 90% with a desired precision of about 0.24 (on the logarithmic scale). Each dose of nintedanib was to be separated by a period of ≥ 14 days. The dose of nintedanib (50 mg or 100 mg) and whether it was given 1 h before or after the last dose of ketoconazole during the main study period was based on the safety and tolerability of nintedanib 50 mg observed during the pilot period and on an interim pharmacokinetic analysis undertaken after the pilot period. According to the protocol, if the nintedanib dose used in the pilot period and main study period was the same (i.e. 50 mg), the data from both periods could be combined for the pharmacokinetic and statistical analyses. The rifampicin study was an open-label, two-period, fixed-sequence study, in which 26 healthy subjects received a single dose of nintedanib 150 mg alone and the morning after the last dose of rifampicin administered at a dose of 600 mg once daily for 7 days. Each dose of nintedanib was separated by a period of ≥ 14 days. A fixed sequence rather than a cross-over design was chosen for this study because the duration of the rifampicin effect is not known and so a suitable washout period could not be defined.

Outcomes

The primary objectives of these studies were to determine the relative bioavailability of nintedanib administered following multiple doses of ketoconazole or rifampicin versus alone based on the primary endpoints AUC from time 0 extrapolated to infinity (AUC0–) and Cmax. The secondary endpoint was AUC from time 0 to the last quantifiable concentration (AUC0–) for nintedanib. Other pharmacokinetic endpoints for nintedanib and its metabolites BIBF 1202 and BIBF 1202 glucuronide included time to achieve Cmax (tmax) and half-life (t½). The ratio of urinary concentration of 6β-hydroxycortisol to cortisol was determined in the rifampicin study. Rifampicin binds to the pregnane X receptor (PXR), which belongs to the nuclear receptor superfamily and acts as a ligand-activated transcription factor by binding to response elements in the promotor region of target genes including CYP3A and mdr1 (gene of the P-gp transporter). CYP3A is responsible for the transformation of cortisol to 6β-hydroxycortisol and hence measuring their ratio in urine provides a surrogate biomarker of the rifampicin-mediated PXR activation of mdr1 [13-15]. Safety and tolerability were evaluated based on adverse events (AEs), clinical laboratory tests, vital signs, 12-lead ECG, and physical examination. In the ketoconazole study, AEs occurring between the first intake of study drug and the first intake of the next study drug (including washout) or the start of the post-treatment period were assigned to the respective treatment period (nintedanib alone, ketoconazole alone, or nintedanib and ketoconazole). In the rifampicin study, AEs reported in the 72 h following administration of nintedanib alone or with rifampicin were assigned to the ‘nintedanib alone’ and ‘nintedanib and rifampicin’ periods. AEs reported more than 72 h after administration of nintedanib alone and before the first dose of rifampicin were assigned to the washout period.

Pharmacokinetic Analyses

Blood samples were collected for the quantification of plasma concentrations of nintedanib, BIBF 1202 and BIBF 1202 glucuronide. In the ketoconazole study, samples were collected pre-dose and at the following times after nintedanib administration: 1, 1.5, 2, 2.5, 3, 3.5, 4, 6, 8, 10, 12, 15, 24, 36, 48, and 72 h. In the rifampicin study, samples were collected pre-dose and 0.5, 1, 2, 2.5, 3, 3.5, 4, 5, 6, 8, 10, 12, 24, 36, 48, and 72 h after nintedanib administration. Plasma concentrations of nintedanib, BIBF 1202 and BIBF 1202 glucuronide were determined by a validated LC MS/MS assay. All bioanalytical methods shared the same general outline. Deuterated analogs of the analytes were used as internal standards. A 50 µl plasma sample aliquot was mixed with the appropriate internal standard(s). All assays used sample clean-up by solid-phase extraction in the 96-well plate format. Linear concentration ranges, inter-assay precision, and inter-assay accuracy are summarized in Table 1. Chromatography was performed on an analytical reversed phase LC column (Phenomenex Luna (C18) 100 Å, 30 × 2.0 mm (3.0 μm particles) with gradient elution. Analytes and internal standards were detected and quantified by positive ion mode electrospray ionization tandem mass spectrometry (Sciex API 5000 LCMS/MS) in the multiple reaction monitoring mode. All samples were handled and analyzed within the time frame supported by stability experiments and within the concentration range where calibration curves were linear [9].
Table 1

Characteristics of bioanalytical assays of nintedanib and its major metabolites in human plasma or urine: linear range, inter-assay precision and accuracy

Assay characteristic
BioanalyteLinear assay range(ng/mL)Inter-assay precision range (%CV)Inter-assay accuracy range, % deviation from nominal
Nintedanib*0.15–40.05.9–8.0− 7.4–1.8
BIBF 1202*0.30–80.05.3–9.6− 7.3–3.3
BIBF 1202 glucuronide*0.30–80.05.3–6.9− 3.4–8.2
Cortisol2.50–75.01.09–3.86− 2.00–3.60
6β-hydroxycortisol25–22501.46–1.95− 0.44–7.60

*Measured in plasma

†Measured in urine

Characteristics of bioanalytical assays of nintedanib and its major metabolites in human plasma or urine: linear range, inter-assay precision and accuracy *Measured in plasma †Measured in urine Cmax and tmax were determined directly from the plasma concentration–time profiles for each subject. The apparent terminal elimination rate constant λ was estimated from a regression of log(C) versus time over the terminal log-linear drug disposition portion of the concentration–time profiles. Half-life (t½) was calculated as the ratio of log(2) and λ. AUC values were calculated using the linear and log trapezoidal method for ascending and descending concentrations, respectively. AUC0– was estimated as the sum of AUC to the last measured concentration, with the extrapolated area given by the quotient of the predicted last measurable concentration and λz. For determination of the metabolic ratio of 6β-hydroxycortisol to cortisol in the rifampicin study, spot morning urine samples were collected the day before the first dose of rifampicin and before the nintedanib dose on the morning following the last dose of rifampicin. Study samples were analyzed according to a method previously validated at SGS Cephac Europe [16]. In summary, the analytical method consists of a solid phase extraction on Oasis HLB cartridges followed by reverse phase liquid chromatography with tandem mass spectrometric detection. The calibration curves of undiluted samples were linear over the range 1.00–100 ng/mL for cortisol and 10.0–3000 ng/mL for 6β-hydroxycortisol, using a urine volume of 500 μL.

Statistical Analysis

The relative bioavailability of nintedanib administered following multiple doses of ketoconazole or rifampicin (test [T]) compared with alone (reference [R]) was assessed using an analysis of variance (ANOVA) model. In the ketoconazole study, the ANOVA model included sequence, period, and treatment as fixed effects and subject within sequence as a random effect. In the rifampicin study, the ANOVA model included treatment as a fixed effect and subject as a random effect. Values for AUC0–, AUC0– and Cmax were log-transformed before fitting the ANOVA model. The difference between the expected means for log(T)–log(R) was estimated using the difference in the corresponding least squares means (point estimate), and 2-sided 90% CIs were calculated based on the t distribution. These values were back-transformed to the original scale to give the geometric mean ratio (GMR) and 2-sided 90% CIs for response under T versus R conditions. Other pharmacokinetic parameters were assessed descriptively.

Results

Thirty-four subjects entered the ketoconazole study (eight in the pilot period and 26 in the main study period) (Fig. 1a). Nintedanib 50 mg 1 h after the last dose of ketoconazole was used in both the pilot and main study periods, therefore, analyses were undertaken using the combined dataset. All 34 subjects received at least one dose of study drug and were included in the treated set. Mean (SD) age of subjects was 35.9 (10.7) years, 33 (97.1%) were White, and mean (SD) BMI was 25.2 (2.4) kg/m2. During the pilot period, one subject was withdrawn due to elevated liver enzyme levels while receiving ketoconazole alone. During the main study period, two subjects were withdrawn due to elevated bilirubin levels while receiving ketoconazole alone. Thus, pharmacokinetic analyses were based on data from 31 subjects. Two further subjects were withdrawn during the main study period due to elevated bilirubin levels prior to receiving the second dose of nintedanib. These subjects had not received nintedanib + ketoconazole. The remaining 22 subjects completed the main study period. Thus, a total of 29 patients completed the pilot period or main study period.
Fig. 1

Patient disposition in (a) the study with ketoconazole and in (b) the study with rifampicin

Patient disposition in (a) the study with ketoconazole and in (b) the study with rifampicin Twenty-six subjects entered the rifampicin study and all received at least one dose of study drug (Fig. 1b). Mean (SD) age of subjects was 37.3 (8.7) years, all were White, and mean (SD) BMI was 25.7 (2.3) kg/m2. One subject discontinued due to influenza during the washout period and did not receive nintedanib + rifampicin. The remaining 25 subjects completed the study.

Pharmacokinetics: Ketoconazole Study

Sufficient exposure to ketoconazole was achieved to inhibit CYP3A4 and P-gp after 3 days of treatment with ketoconazole 400 mg once daily (17.4 μM). Exposure to nintedanib (AUC0–, Cmax, AUC0–) was 1.6–1.7-fold higher when nintedanib was co-administered with ketoconazole than when administered alone (Fig. 2a and b; Table 2); tmax and t½ were similar (Table 2). The 90% CIs for the GMRs for AUC0– and Cmax are shown in Table 3. Co-administration with ketoconazole influenced exposure to the nintedanib metabolites in a manner similar to its effects on nintedanib itself (data not shown).
Fig. 2

gMean plasma concentration–time profiles of a single dose of nintedanib 50 mg alone and after multiple doses of ketoconazole 400 mg (a) linear scale and b semi-log scale; and a single dose of nintedanib 150 mg alone and after multiple doses of rifampicin 600 mg (c) linear scale and d semi-log scale

Table 2

Pharmacokinetics of nintedanib 50 mg after single dose administration alone and after multiple doses of ketoconazole 400 mg

ParameterNintedanib alone (n = 31)Nintedanib + ketoconazole (n = 29)
AUC0– (ng·h/mL)38.6 (42.5)61.3 (40.4)
Cmax (ng/mL)4.19 (71.0)7.13 (44.4)
AUC0–tz (ng·h/mL)35.7 (47.8)59.4 (40.8)
tmax (h)4.0 (3.0–6.0)3.0 (1.0–6.0)
t½ (h)18.1 (34.9)15.6 (38.3)

Data are geometric mean (%gCV), except for tmax, which is median (range)

AUC0– AUC from time 0 extrapolated to infinity, AUC0 AUC from time 0 to the last quantifiable concentration, Cmax maximum concentration of drug in plasma, tmax time to achieve Cmax, t½ half-life

Table 3

Relative bioavailability of nintedanib given alone and after multiple doses of ketoconazole or rifampicin

ParameterTestReferenceGMR,  % (90% CI)
AUC0–Nintedanib 50 mg + ketoconazole 400 mgNintedanib 50 mg160.5 (148.2–173.7)
C max Nintedanib 50 mg + ketoconazole 400 mgNintedanib 50 mg179.6 (157.6–204.8)
AUC0–tzNintedanib 50 mg + ketoconazole 400 mgNintedanib 50 mg168.1 (155.3–182.0)
AUC0–Nintedanib 150 mg + rifampicin 600 mgNintedanib 150 mg50.1 (47.2–53.3)
C max Nintedanib 150 mg + rifampicin 600 mgNintedanib 150 mg59.8 (53.8–66.4)
AUC0–tzNintedanib 150 mg + rifampicin 600 mgNintedanib 150 mg50.0 (46.9–53.3)

AUC0– AUC from time 0 extrapolated to infinity, AUC0– AUC from time 0 to the last quantifiable concentration, Cmax maximum concentration of drug in plasma, GMR geometric mean ratio

gMean plasma concentration–time profiles of a single dose of nintedanib 50 mg alone and after multiple doses of ketoconazole 400 mg (a) linear scale and b semi-log scale; and a single dose of nintedanib 150 mg alone and after multiple doses of rifampicin 600 mg (c) linear scale and d semi-log scale Pharmacokinetics of nintedanib 50 mg after single dose administration alone and after multiple doses of ketoconazole 400 mg Data are geometric mean (%gCV), except for tmax, which is median (range) AUC0– AUC from time 0 extrapolated to infinity, AUC0 AUC from time 0 to the last quantifiable concentration, Cmax maximum concentration of drug in plasma, tmax time to achieve Cmax, t½ half-life Relative bioavailability of nintedanib given alone and after multiple doses of ketoconazole or rifampicin AUC0– AUC from time 0 extrapolated to infinity, AUC0– AUC from time 0 to the last quantifiable concentration, Cmax maximum concentration of drug in plasma, GMR geometric mean ratio

Pharmacokinetics: Rifampicin Study

Exposure to nintedanib (AUC0–, Cmax, AUC0–) was lower when nintedanib was co-administered with rifampicin than when it was administered alone (Fig. 2c and d; Table 4); tmax and t½ were similar (Table 4). The 90% CIs for GMRs for AUC0– and Cmax are shown in Table 3. Co-administration with rifampicin influenced exposure to the nintedanib metabolites in a manner similar to its effects on nintedanib (data not shown). Rifampicin 600 mg once daily for 7 days increased the ratio of urinary concentrations of 6β-hydroxycortisol to cortisol by approximately fivefold (data not shown).
Table 4

Pharmacokinetics of nintedanib 150 mg after single dose administration alone and after multiple doses of rifampicin 600 mg

ParameterNintedanib alone (n = 26)Nintedanib + rifampicin (n = 25)
AUC0– (ng·h/mL)183 (36.1)89.4 (36.8)
Cmax (ng/mL)22.1 (51.8)12.8 (43.4)
AUC0–tz (ng·h/mL)173 (36.9)84.1 (38.1)
tmax (h)3.0 (0.5–6.0)4.0 (1.0–6.0)
t½ (h)22.5 (22.8)23.4 (24.0)

Data are geometric mean (%gCV), except for tmax, which is median (range)

AUC0– AUC from time 0 extrapolated to infinity, AUC0 AUC from time 0 to the last quantifiable concentration, Cmax maximum concentration of drug in plasma, tmax time to achieve Cmax, t½ half-life

Pharmacokinetics of nintedanib 150 mg after single dose administration alone and after multiple doses of rifampicin 600 mg Data are geometric mean (%gCV), except for tmax, which is median (range) AUC0– AUC from time 0 extrapolated to infinity, AUC0 AUC from time 0 to the last quantifiable concentration, Cmax maximum concentration of drug in plasma, tmax time to achieve Cmax, t½ half-life

Safety

Administrations of single dose of nintedanib alone and with ketoconazole or rifampicin were well tolerated (Table 5 and 6). No serious AEs were reported. There was one severe AE (influenza during the washout period of the rifampicin study, which led to withdrawal of study treatment). There were no clinically relevant changes in laboratory measurements, ECG recordings, vital signs, or physical examination in either study.
Table 5

Number and percentage of subjects with AEs after receiving a single dose of nintedanib 50 mg alone and after multiple doses of ketoconazole 400 mg

Ketoconazole alone (n = 34)Nintedanib alone (n = 31)Ketoconazole + nintedanib (n = 29)
Subjects with any AE (s) n (%)3 (8.8)8 (25.8)8 (27.6)
 Headache2 (5.9)5 (16.1)5 (17.2)
 Nasopharyngitis02 (6.5)1 (3.4)
 Back pain002 (6.9)
 Abdominal pain upper1 (2.9)00
 Dry mouth1 (2.9)00
 Dizziness01 (3.2)0
 Fatigue01 (3.2)0
 Ocular hyperemia01 (3.2)0
 Excoriation001 (3.4)
 Puncture site induration001 (3.4)
 Puncture site pain001 (3.4)

AE adverse event

Table 6

Number and percentage of subjects with AEs after receiving a single dose of nintedanib 150 mg alone and after multiple doses of rifampicin 600 mg

Nintedanib alone (n = 26)Washout (n = 26)Rifampicin alone (n = 25)Nintedanib + rifampicin (n = 25)
Subjects with any AE (s) n (%)5 (19.2)6 (23.1)25 (100)4 (16.0)
 Chromaturia0025 (100)0
 Diarrhea5 (19.2)01 (4.0)3 (12.0)
 Headache1 (3.8)2 (7.7)5 (20.0)2 (8.0)
 Feces discolored003 (12.0)0
 Dizziness002 (8.0)0
 Fatigue002 (8.0)0
 Flatulence002 (8.0)0
 Dermatitis contact01 (3.8)00
 Influenza01 (3.8)00
 Oropharyngeal pain01 (3.8)00
 Vessel puncture site paresthesia01 (3.8)00
 Cough001 (4.0)0
 Dysphagia001 (4.0)0
 Eye pain001 (4.0)0
 Feeling hot001 (4.0)0
 Laceration001 (4.0)0
 Nausea001 (4.0)0
 Night sweats001 (4.0)0
 Pollakiuria001 (4.0)0
 Rhinitis001 (4.0)0

AE adverse event

Number and percentage of subjects with AEs after receiving a single dose of nintedanib 50 mg alone and after multiple doses of ketoconazole 400 mg AE adverse event Number and percentage of subjects with AEs after receiving a single dose of nintedanib 150 mg alone and after multiple doses of rifampicin 600 mg AE adverse event

Discussion

As nintedanib is a substrate for P-gp [3-5], two studies were undertaken to determine the effect of an inhibitor of P-gp (ketoconazole) and an inducer of P-gp (rifampicin) [12] on the pharmacokinetics of nintedanib. These studies showed that co-administration with ketoconazole increased exposure to nintedanib by about 1.6-fold based on AUC and 1.7-fold based on Cmax, while co-administration with rifampicin reduced exposure to nintedanib by about 50% based on AUC and 60% based on Cmax. These effects on nintedanib exposure are believed to be due to an increased or reduced fraction of the nintedanib dose reaching the systemic circulation when it is co-administered with ketoconazole or rifampicin, respectively. These findings in humans are consistent with observations made in rats upon pre-treatment with zosuquidar (a potent P-gp inhibitor), both with respect to the order of magnitude of the increase in exposure and translation of findings to the metabolites (data on file). Ketoconazole is an inhibitor of CYP3A while rifampicin is an inducer of CYP3A4 in vivo [12]. Ketoconazole exposure was sufficient to inhibit CYP3A4 and P-gp [17]. Furthermore, the observed increase in the metabolic ratio of 6β-hydroxycortisol to cortisol, an established marker of human hepatic CYP3A4 induction [13], suggested adequate induction of CYP3A4 and P-gp by rifampicin. The lack of effect of ketoconazole and rifampicin on the tmax and t½ of nintedanib indicate that they did not affect the elimination kinetics of nintedanib via effects on P-gp or CYP3A. As the majority of metabolism of nintedanib is independent of CYP [11], interactions between nintedanib and CYP substrates, inhibitors, or inducers are not expected. The increase in exposure of nintedanib when co-administered with a potent P-gp inhibitor is within the range of inter-subject variability; however, patients being treated with potent P-gp inhibitors should be monitored for tolerability of nintedanib. An a priori adjustment of the nintedanib dose is not required. Management of side effects due to higher exposure may require interruption, dose reduction, or discontinuation of nintedanib therapy [3-5]. On the other hand, due to the decrease in nintedanib exposure by potent P-gp inducers (e.g., rifampicin, carbamazepine, phenytoin, St. John’s Wort), co-administration of these compounds should be considered carefully [3-5].

Conclusions

Nintedanib exposure was increased when it was administered following multiple doses of the P-gp inhibitor ketoconazole and decreased following multiple doses of the P-gp inducer rifampicin. These results suggest that co-administration of P-gp inhibitors may increase exposure to nintedanib due to an increase in the bioavailability of the absorbed fraction while co-administration of P-gp inducers may decrease exposure to nintedanib. Guidance on how to manage patients who require administration of nintedanib and P-gp inhibitors/inducers is provided in the product labels.
Exposure to nintedanib, a known substrate for p-glycoprotein (P-gp), is increased by co-administration of a P-gp inhibitor and decreased by co-administration of a P-gp inducer.
This is believed to be due to effects on the bioavailability of the absorbed fraction.
  12 in total

1.  Pharmacokinetics and metabolism of BIBF 1120 after oral dosing to healthy male volunteers.

Authors:  Peter Stopfer; Karin Rathgen; Daniel Bischoff; Silke Lüdtke; Kristell Marzin; Rolf Kaiser; Klaus Wagner; Thomas Ebner
Journal:  Xenobiotica       Date:  2011-01-04       Impact factor: 1.908

2.  Phase I safety, pharmacokinetic, and biomarker study of BIBF 1120, an oral triple tyrosine kinase inhibitor in patients with advanced solid tumors.

Authors:  Isamu Okamoto; Hiroyasu Kaneda; Taroh Satoh; Wataru Okamoto; Masaki Miyazaki; Ryotaro Morinaga; Shinya Ueda; Masaaki Terashima; Asuka Tsuya; Akiko Sarashina; Koichi Konishi; Tokuzo Arao; Kazuto Nishio; Rolf Kaiser; Kazuhiko Nakagawa
Journal:  Mol Cancer Ther       Date:  2010-08-05       Impact factor: 6.261

3.  Phase I study of the angiogenesis inhibitor BIBF 1120 in patients with advanced solid tumors.

Authors:  Klaus Mross; Martin Stefanic; Daniela Gmehling; Annette Frost; Franziska Baas; Clemens Unger; Ralph Strecker; Jürgen Henning; Birgit Gaschler-Markefski; Peter Stopfer; Lothar de Rossi; Rolf Kaiser
Journal:  Clin Cancer Res       Date:  2009-12-22       Impact factor: 12.531

4.  Morning spot and 24-hour urinary 6 beta-hydroxycortisol to cortisol ratios: intraindividual variability and correlation under basal conditions and conditions of CYP 3A4 induction.

Authors:  J Q Tran; S J Kovacs; T S McIntosh; H M Davis; D E Martin
Journal:  J Clin Pharmacol       Date:  1999-05       Impact factor: 3.126

5.  A phase II double-blind study to investigate efficacy and safety of two doses of the triple angiokinase inhibitor BIBF 1120 in patients with relapsed advanced non-small-cell lung cancer.

Authors:  M Reck; R Kaiser; C Eschbach; M Stefanic; J Love; U Gatzemeier; P Stopfer; J von Pawel
Journal:  Ann Oncol       Date:  2011-01-06       Impact factor: 32.976

6.  Safety and pharmacokinetics of nintedanib and pirfenidone in idiopathic pulmonary fibrosis.

Authors:  Takashi Ogura; Hiroyuki Taniguchi; Arata Azuma; Yoshikazu Inoue; Yasuhiro Kondoh; Yoshinori Hasegawa; Masashi Bando; Shinji Abe; Yoshiro Mochizuki; Kingo Chida; Matthias Klüglich; Tsuyoshi Fujimoto; Kotaro Okazaki; Yusuke Tadayasu; Wataru Sakamoto; Yukihiko Sugiyama
Journal:  Eur Respir J       Date:  2014-12-10       Impact factor: 16.671

7.  Pharmacokinetic Properties of Nintedanib in Healthy Volunteers and Patients With Advanced Cancer.

Authors:  Claudia Dallinger; Dirk Trommeshauser; Kristell Marzin; Andre Liesener; Rolf Kaiser; Peter Stopfer
Journal:  J Clin Pharmacol       Date:  2016-11       Impact factor: 3.126

8.  Pharmacokinetics of darunavir/ritonavir and ketoconazole following co-administration in HIV-healthy volunteers.

Authors:  Vanitha J Sekar; Eric Lefebvre; Martine De Pauw; Tony Vangeneugden; Richard M Hoetelmans
Journal:  Br J Clin Pharmacol       Date:  2008-04-08       Impact factor: 4.335

Review 9.  Interplay of pregnane X receptor with other nuclear receptors on gene regulation.

Authors:  Yun-Ping Lim; Jin-ding Huang
Journal:  Drug Metab Pharmacokinet       Date:  2008       Impact factor: 3.614

10.  BIBF 1120: triple angiokinase inhibitor with sustained receptor blockade and good antitumor efficacy.

Authors:  Frank Hilberg; Gerald J Roth; Martin Krssak; Susanna Kautschitsch; Wolfgang Sommergruber; Ulrike Tontsch-Grunt; Pilar Garin-Chesa; Gerd Bader; Andreas Zoephel; Jens Quant; Armin Heckel; Wolfgang J Rettig
Journal:  Cancer Res       Date:  2008-06-15       Impact factor: 12.701

View more
  8 in total

Review 1.  Protein tyrosine kinase inhibitor resistance in malignant tumors: molecular mechanisms and future perspective.

Authors:  Yang Yang; Shuo Li; Yujiao Wang; Yi Zhao; Qiu Li
Journal:  Signal Transduct Target Ther       Date:  2022-09-17

Review 2.  Evaluation of Proteasome Inhibitors in the Treatment of Idiopathic Pulmonary Fibrosis.

Authors:  I-Chen Chen; Yi-Ching Liu; Yen-Hsien Wu; Shih-Hsing Lo; Zen-Kong Dai; Jong-Hau Hsu; Yu-Hsin Tseng
Journal:  Cells       Date:  2022-05-04       Impact factor: 7.666

3.  Effects of rifampicin on the pharmacokinetics of alflutinib, a selective third-generation EGFR kinase inhibitor, and its metabolite AST5902 in healthy volunteers.

Authors:  Yun-Ting Zhu; Yi-Fan Zhang; Jin-Fang Jiang; Yong Yang; Li-Xia Guo; Jing-Jing Bao; Da-Fang Zhong
Journal:  Invest New Drugs       Date:  2021-01-27       Impact factor: 3.651

Review 4.  Management of Idiopathic Pulmonary Fibrosis.

Authors:  Roy Pleasants; Robert M Tighe
Journal:  Ann Pharmacother       Date:  2019-07-07       Impact factor: 3.154

Review 5.  Clinical Pharmacokinetics and Pharmacodynamics of Nintedanib.

Authors:  Sven Wind; Ulrike Schmid; Matthias Freiwald; Kristell Marzin; Ralf Lotz; Thomas Ebner; Peter Stopfer; Claudia Dallinger
Journal:  Clin Pharmacokinet       Date:  2019-09       Impact factor: 6.447

6.  Rifampicin Induces Gene, Protein, and Activity of P-Glycoprotein (ABCB1) in Human Precision-Cut Intestinal Slices.

Authors:  Ondrej Martinec; Carin Biel; Inge A M de Graaf; Martin Huliciak; Koert P de Jong; Frantisek Staud; Filip Cecka; Peter Olinga; Ivan Vokral; Lukas Cerveny
Journal:  Front Pharmacol       Date:  2021-06-09       Impact factor: 5.810

Review 7.  Nintedanib in the management of idiopathic pulmonary fibrosis: clinical trial evidence and real-world experience.

Authors:  Pilar Rivera-Ortega; Conal Hayton; John Blaikley; Colm Leonard; Nazia Chaudhuri
Journal:  Ther Adv Respir Dis       Date:  2018 Jan-Dec       Impact factor: 4.031

8.  Management of patients with fibrosing interstitial lung diseases.

Authors:  Lee E Morrow; Daniel Hilleman; Mark A Malesker
Journal:  Am J Health Syst Pharm       Date:  2022-01-24       Impact factor: 2.637

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.