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DRUG INTERACTIONS

Influence of Everolimus on Steady-State Pharmacokinetics of Cyclosporine in Maintenance Renal Transplant Patients

Klemens Budde, Gustav Lehne, Michael Winkler, Lutz Renders, Arno Lison, Lutz Fritsche, Jean-Paul Soulillou, Per Fauchald, Hans-Hellmut Neumayer, Jaques Dantal RADW 102 Renal Transplant Study Group

From the University Clinic Charité, Berlin, Germany (Dr Budde, Dr Fritsche, Dr Neumayer); Nephrology Service, CHU Hotel Dieu, Nantes, France (Dr Soulillou, Dr Dantal); Rikshospitalet, Oslo, Norway (Dr Lehne, Dr Fauchald); Medizinische Hochschule, Hannover, Germany (Dr Winkler); Universitätsklinikum Kiel, Germany (Dr Renders); and Zentral-krankenhaus, Bremen, Germany (Dr Lison).

Address for reprints: Klemens Budde, University Clinic Charité, Schumannstr. 20/21, Berlin 10098, Germany.


    ABSTRACT
 TOP
 ABSTRACT
 MATERIAL AND METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
To investigate possible interactions of the novel immunosuppressant everolimus with cyclosporine, a multicenter, randomized, double-blind, placebo-controlled, dose-escalating phase I study was performed. Everolimus regimens (0.75-10 mg/d) were administered for 28 days to stable renal allograft recipients receiving the microemulsion form of cyclosporine. Steady-state cyclosporine profiles were assessed at baseline on day 0 (cyclosporine alone) and on day 21 with everolimus on steady state. By day 21, mean dose-normalized cyclosporine AUC0-12 increased by 15% in patients receiving placebo. In everolimus-treated patients, mean increases in cyclosporine AUC0-12 ranged from 7% to 43%, which were not significantly different across all dosing cohorts including placebo. Linear regression of everolimus AUC on day 21 versus the increase in cyclosporine AUC0-12 yielded a slope not significantly different from a horizontal line (P = ns). In conclusion, these results suggest that steady-state everolimus exposure over the wide range assessed in this study did not affect steady-state cyclosporine pharmacokinetics.

Key Words: Cyclosporineeverolimuspharmacokineticsrenal transplantation


The novel macrocyclic immunosuppressant everolimus (40-O-(hydroxy)ethyl-rapamycin) is a promising candidate for potent adjunctive immunosuppressive therapy in solid organ transplantation.1,2 In experimental models, everolimus was synergistic with cyclosporine (CsA) in the prevention of acute and chronic rejection and has been approved in several countries in combination therapy with CsA after kidney and heart transplantation.1-3 Everolimus belongs to the same drug class as sirolimus, but relatively minor structural differences between the 2 agents confer different pharmacokinetic characteristics.4-8 Everolimus has a shorter half-life (approximately 24 hours vs 60 hours), exhibits more stable/consistent absorption characteristics than oral sirolimus does,4-8 and may exert different effects on microsomal and mitochondrial metabolism.9,10

Sirolimus and everolimus have potent immunosuppressive activity and have a mode of action different from that of CsA and other classes of immunosuppressants.1,11 They target the signal transduction pathway involved in cell-cycle progression by inhibiting the mammalian target of rapamycin (mTOR), thus leading to subsequent inhibition of interleukin-2 (IL-2)-induced T-cell proliferation as well as inhibition of general growth-factor-dependent proliferation of hematopoietic and nonhematopoietic cells, including vascular smooth muscle cells.11,12 Chronic rejection has been attributed to proliferation of vascular smooth muscle cells.12 Therefore, improved immunosuppression and a direct effect of these drugs on smooth muscle cell proliferation may have an impact on long-term outcomes.12

Sirolimus, the first drug of the class of mTOR inhibitors, is primarily metabolized through the hepatic cytochrome P450 (CYP) 3A4 enzyme system, which is shared with CsA mutual microsomal metabolism.7-10 In addition, both drugs are substrates for p-glycoprotein countertransport.7-10 Not surprising, several studies have demonstrated a strong pharmacokinetic interaction between sirolimus and CsA.13-20 Interestingly, CsA pharmacokinetics is unaffected by sirolimus in renal transplant recipients.13,14 In contrast, CsA administration resulted in markedly (1.8- to 2.3-fold) elevated sirolimus exposure20; even the timing of CsA dosing affected sirolimus pharmacokinetics. Whole-blood trough levels increased by about 30% with concomitant dosing; the time to peak levels was also shorter (1.8 vs 2.5 hours) compared to timely separated administration.20 As a consequence, sirolimus should be given 4 hours after CsA according to the dosing recommendations. No such effect of timing of drug administration, however, could be found on CsA pharmacokinetic parameters.20

Since everolimus is intended to be used with CsA and both compounds are metabolized in part by CYP3A4,9,10 the potential influence of everolimus on CsA pharmacokinetics needs to be investigated. This is the first study to investigate the tablet formulation of everolimus across a wide range of doses, unlike the previously reported phase I single-dose study5 and a multiple-dose study that used in development a service capsule formulation6 that will not be commercially available. This is of particular importance as the tablet has a 2.6-fold higher bioavailability compared to the service capsule.21 The aim of the present study was to assess the effect of steady-state everolimus coadministration over a wide dose range on detailed steady-state pharmacokinetics of CsA in stable renal allograft recipients. Unlike previously reported studies,22-26 complete 12-hour CsA pharmacokinetics in stable renal allograft recipients receiving the microemulsion formulation of CsA was assessed, as it is well known that CsA exposure varies over time22 and trough levels are a poor indicator of CsA exposure.27


    MATERIAL AND METHODS
 TOP
 ABSTRACT
 MATERIAL AND METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
Patients
Stable recipients of a primary renal transplant (cadaveric or living donor) were eligible for inclusion in the study. All subjects gave written informed consent prior to inclusion. The study was conducted in accordance with good clinical practice guidelines and in line with the Declaration of Helsinki. The protocol was approved by the Ethics Committee at each center (see the appendix). For at least 3 months before enrollment into the study, all patients were receiving the microemulsion formulation of CsA (Neoral; Novartis Pharma, Basel, Switzerland) sufficient to produce morning trough levels of 80 to 200 ng/mL. For inclusion in the study, women had to be practicing an accepted method of birth control. Individuals were excluded from the study if they had received any other immunosuppressive medication within 4 months of baseline. Any treatment interfering with CsA pharmacokinetics was not allowed for 4 weeks prior to enrollment. The detailed study protocol and patient characteristics were published recently.21 In brief, a total of 54 patients were randomized into 1 of the 7 different treatment groups, 44 subjects received everolimus (Novartis Pharma, Basel, Switzerland), and 10 patients received placebo.


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APPENDIX List of Institutional Review Boards

 

Study Design
This was a randomized, double-blind, placebo-controlled, dose-escalation study conducted at 6 centers. Subjects fulfilling the entry criteria were randomly assigned in a 3:1 ratio to either 1 of 4 everolimus dose groups or placebo. This comprised 7 treatment groups to examine the effect of dose level, dosing frequency (once daily [QD] or twice daily [BID]), and formulation (capsule and tablet at 0.75 mg QD). Dose groups (0.75, 5, and 10 mg/d) were initiated sequentially at weekly intervals so that a preliminary assessment of safety and tolerability could be made at each dose level prior to escalation to the next dose level. Safety and tolerability were monitored in an ongoing manner throughout the study by an independent, un-blinded Safety Monitoring Board constituted specifically for this study. An additional dose group (2.5 mg QD, open label) was added toward the end of the study. In addition, 4 patients were added in an open-label fashion to the 2.5-mg-BID group to further assess the safety and tolerability of the 5-mg daily dose, given concomitantly with cyclosporine in a BID dosing regimen. Treatment at each dose level was administered for 4 weeks. At the baseline visit (before administration of study drug, while the patients were hospitalized for the baseline CsA pharmacokinetic profile), creatinine clearance was determined from a 24-hour urine sampling period using the local laboratory at each center. Pneumocystis carinii prophylaxis with cotrimoxazole/sulfamethoxazole was mandated during the course of the study. This study was of an exploratory design; that is, the study was not powered to address a specific statistical hypothesis. The results of the safety and pharmacokinetic exploration of everolimus were published separately.21

Pharmacokinetic Assessment
Morning trough whole-blood levels (Cmin) of CsA were measured at 1- to 3-day intervals throughout the study. Steady-state CsA pharmacokinetic profiles over the 12-hour dosing interval were obtained at baseline in the absence of everolimus and on day 21 during everolimus coadministration when steady-state everolimus blood concentrations would have been attained. For CsA profiling, blood samples were drawn predose and after 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6, 8, 10, and 12 hours. Full pharmacokinetic profiles of everolimus over a 12- or 24-hour dosing interval were obtained on days 1 and 21. For everolimus profiles, blood samples were obtained from a forearm vein via an indwelling cannula predose and then 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6, 8, 10, 12, 16, and 24 hours thereafter. On profiling occasions, patients had an overnight fasting period of at least 12 hours, and after administration of the medication, they remained fasting for an additional 4 hours; only water was allowed in this period. All blood samples were drawn into EDTA-coated collection tubes, gently inverted several times, frozen at -20°C or below, and analyzed in a central laboratory.

Whole-blood everolimus concentrations were determined in duplicate by a validated enzyme-linked immunosorbent assay method.5,6 Assay performance was based on a 7-point calibration curve (1.6 to 100 ng/mL) and 5 quality control concentrations (2 to 80 ng/mL) determined with each assay run. Assay precision (coefficients of variation) ranged from 11.2% to 26.3%, and accuracy (deviation from nominal value) ranged from -1.6% to -8.8%. The limit of quantification was 2 ng/mL. CsA was quantified in whole blood by a commercially available radioimmunoassay using a monoclonal antibody specific for the parent compound (INCSTAR Cyclo-Trac SP, Stillwater, Minn). Assay performance was based on a 7-point calibration curve (25-2500 ng/mL) and 5 quality control concentrations (30-1600 ng/mL). The precision of quality control samples (coefficients of variation) ranged from 5.1% to 13.5%, and the assay quantification limit was 25 ng/mL.

Statistical Evaluation
Standard noncompartmental pharmacokinetic parameters were derived including the peak concentration (Cmax) and the time of its occurrence (tmax), the area under the concentration-time curve over the dosing interval (AUC), and the percentage peak-trough fluctuation (PTF). Attainment of steady state for everolimus and CsA was assessed by linear regression analysis of the serial trough concentrations over time. A slope not significantly different from zero (a horizontal line) was taken as evidence for steady-state conditions. Serial CsA trough concentrations were plotted for each everolimus dosing group and inspected for trends over the study duration. Linear regression analysis was performed for each patient's troughs over time. A significant positive slope was interpreted as a rise in CsA exposure over the course of the study.

The influence of everolimus on CsA pharmacokinetics was explored by an analysis of variance (ANOVA) on dose-normalized CsA parameters from baseline (without everolimus) and day 21 (under steady-state everolimus). The ANOVA included terms for everolimus dose level (including placebo), patient nested within everolimus dose level, study day (days 0 and 21), and day by everolimus dose-level interaction. This model explored whether differences in CsA pharmacokinetic parameters between baseline in the absence of everolimus and day 21 during everolimus coadministration were different among the everolimus dose levels including placebo. Pharmacokinetic parameter ratios (coadministration on day 21/baseline on day 0) were also derived and compared among everolimus dosing levels in a 1-way ANOVA. Linear regression analysis was performed on everolimus AUC on day 21 versus the CsA AUC ratio. A slope not significantly different from zero was taken as evidence that everolimus had no influence on CsA pharmacokinetics.


    RESULTS
 TOP
 ABSTRACT
 MATERIAL AND METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
Subjects
A total of 54 subjects were randomized for treatment with everolimus (n = 44) or placebo (n = 10). There were no significant demographic differences between different treatment groups and placebo (Table I). The median age was 47 years (range, 25-66), the majority of patients were Caucasian (93%) and male (69%), and no black patients participated. They were at least 6 months posttransplant (mean = 5.3 years) and had stable serum creatinine levels (mean = 147 ± 46 µmol/L; everolimus 149 ± 49 µmol/L; placebo 139 ± 42 µmol/L). The average glomerular filtration rate (using 24-hour urine collection) was 68 ± 22 mL/min (range, 28-128) at baseline. As shown in Table I, the immunosuppressive therapy mainly consisted of CsA and prednisone; the mean prednisone dose was 6.7 mg/d (everolimus 6.9 ± 1.7 mg/d; placebo 6.0 ± 1.8 mg/d). Eighty percent of the patients were hypertensive, and only 2 diabetic patients (4%) were included. Thus, the most frequent concomitant medications were antihypertensive drugs (Table I). In general, the patients' usual medication remained unchanged over the study period. Pre-transplant and transplant history as well as past or coexisting medical conditions revealed no specific clustering in certain treatment groups and reflected the intended target population. Treatment groups were matched for demographic data, prior nonimmunosuppressant medications, kidney transplant history, and background medical characteristics, as reported elsewhere in greater detail.21


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Table I Baseline Demographics and Medical Characteristics

 

Eight (80%) of the 10 patients in the placebo group and 29 (80.5%) of the 36 patients in the everolimus dose group up to 5 mg/d received study drug for the full duration of treatment, while only 1 patient (12.5%) of the 8 enrolled in the 10-mg dose group completed the study. If samples for pharmacokinetic analysis were obtained, these were included in the results, even if the patients discontinued the study. A total of 9 serious adverse events (AEs) were reported in 8 everolimus-treated patients, consisting of 2 viral infections and 1 case each of gastroenteritis, pneumonia, intestinal obstruction, myocardial infarction, stomatitis, increased creatinine, and thrombopenia, leading to 4 treatment discontinuations. Treatment discontinuations in the everolimus group were due to AEs in 11 subjects, and in a further 3 subjects, discontinuation was due to the decision of the Safety Monitoring Board to discontinue treatment at the 10-mg/d dose level. AEs leading to discontinuation were thrombocytopenia (n = 4), infection (n = 2), stomatitis and thrombocytopenia, hypertension and headache, increased serum creatinine, intestinal obstruction (each n = 1), and a patient with gastritis, atrial fibrillation, edema, and elevated lipids. Most AEs leading to discontinuation (especially thrombocytopenia) occurred in the highest dosage groups.21 The highest dosage group was therefore prematurely terminated by the Safety Monitoring Board. Neither treatment discontinuations nor serious AEs were reported for the placebo group. One (10%) subject in the placebo group withdrew because of a protocol violation.

Cyclosporine Dosing
Initial CsA doses were comparable in each of the everolimus dosing cohorts: in the placebo group, the mean dose was 107 ± 36 mg BID and among the patients receiving everolimus, the mean cohort doses ranged from 100 ± 50 (0.75 mg QD), 133 ± 44 (2.5 mg QD), 133 ± 17 (5 mg QD), 135 ± 45 (2.5 mg BID), to 137 ± 40 (0.75 mg QD capsule mg BID). At the end of the study, the mean CsA dose differed not significantly from starting doses (placebo: 107 ± 36; 0.75-mg capsule: 133 ± 33; 0.75 mg QD: 95 ± 48; 2.5 mg QD: 129 ± 51; 5 mg QD: 133 ± 17; 2.5 mg BID: 129 ± 47; 10 mg QD (n = 1): unchanged 150 mg BID).

Of the 52 patients providing CsA concentration-time data (profiles and/or troughs), 38 (73%) maintained the same dosage schedule throughout the trial. The remaining 14 patients had dose reductions of 20 mg (n = 1), 25 mg (n = 4), 50 mg (n = 8), and 75 mg (n = 1). These dose reductions were started roughly equally in each study week: 3 in week 1, 5 in week 2, 2 in week 3, and 4 in week 4. While no patient randomized to receive placebo had a CsA dose alteration, the 14 dose reductions were equally spread among the rising everolimus dose levels.



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Figure 1. Synoptic view of mean cyclosporine trough concentrations in patients receiving different doses of everolimus or placebo.

 
Serial Trough Concentrations
Serial trough concentrations were available from 52 patients. Not surprisingly, CsA trough levels exhibited inter- and intrapatient variability. For patients without a dose change, the intrapatient coefficient of variation was calculated. Placebo-treated patients had a coefficient of variation of CsA trough levels of 16.8% ± 6.1%, similar to everolimus-treated patients (16.0% ± 7.5%). Synoptic views of mean CsA trough levels are shown in Figure 1. For patients who withdrew from the study prior to day 28 or who had a CsA dose reduction, concentrations up to the day of these events were used. Linear regression was performed on through trough levels over time to test for a significantly positive slope. This was taken as an indication for a rise in CsA exposure over the course of the trial in the absence of CsA dose changes. Interestingly, there was a general rise in troughs over time; indeed, the majority of patients receiving placebo (6 of 9, or 67%) had a significantly positive regression slope. The proportion of patients in everolimus dosing cohorts for which regression slopes were significantly positive was similar or lower compared with the placebo group: 0/6 (0.75-mg QD capsule), 3/6 (0.75 mg QD), 2/6 (2.5 mg QD), 5/6 (5 mg QD), 1/2 (10 mg QD), 7/11 (2.5 mg BID), and 2/6 (5 mg BID). Across all dose levels including placebo, ANOVA did not detect any differences in the magnitude of the trough increases among everolimus dose levels or placebo (P = .11).

Cyclosporine Profiles
Paired CsA profiles from day 0 (CsA alone) and day 21 (CsA + everolimus) were evaluable from 9 patients receiving placebo and 32 patients receiving everolimus. None of the patients randomized to receive 5 mg everolimus BID remained in the study to day 21; hence, paired CsA profiles were not available at this dose level. Pharmacokinetic parameters are summarized in Table II for 3 representative everolimus dose levels using the tablet formulation. The administration of the capsule formulation yielded similar results (not shown). The global ANOVA did not detect any group-by-day interactions; hence, the main effects comparison was used to assess differences in parameters between days. No differences in tmax or PTF were noted when CsA was coadministered with everolimus compared with administration alone (P = .60 and .17, respectively). Dose-normalized Cmin and AUC were significantly increased (P < .01 for both) across all dose groups (including placebo), while dose-normalized Cmax showed a similar trend (P = .06). Representative plots to examine the mean dose-normalized parameters across 3 dosing groups and the placebo group on the 2 profiling occasions are shown in Figure 2.


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Table II Cyclosporine Pharmacokinetics

 


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Figure 2. Mean (SD) cyclosporine plots comparing administration alone ({diamond}) and with various everolimus regimens ({diamondsuit}).

 

Cyclosporine Parameter Ratios
An alternative approach to examine CsA changes across everolimus dose groups was based on the CsA parameter ratios (ratio coadministration/baseline). These data are summarized in Table III. Over the course of the study, CsA trough concentrations rose by 24% on average in patients receiving placebo and between 10% and 19% for the lower dose everolimus regimens (0.75-2.5 mg QD). Of the 2 regimens delivering the same total daily dose of 5 mg, there was a 58% increase for 5 mg QD but a 28% increase for 2.5 mg BID; this lack of an apparent dose relationship was due to individual variability. At the highest dose level of 10 mg QD (n = 1), no change in CsA trough was noted. Similar patterns were noted for dose-normalized Cmax and AUC. In the placebo arm, these parameters rose on average by 11% and 15%, respectively, with similar increases at all other everolimus dose levels with the apparent exception of 5 mg QD (38% and 43%). Nonetheless, ANOVA did not detect any differences in the magnitude of the Cmax or AUC increases (P = .17 and .13, respectively) across all dose levels including placebo. The plot of dose-normalized AUC ratios is reproduced in Figure 3. In agreement with the global ANOVA, CsA peak-trough fluctuation was not altered upon coadministration with everolimus (P = .17).


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Table III Cyclosporine Parameter Ratios (Ratio Coadministration/Baseline)

 


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Figure 3. Cyclosporine AUC ratios compared across everolimus dosage levels and placebo cohorts. Shown are individual values ({circ}) and group means ({blacksquare}). A ratio of 1.00 implies no change in cyclosporine exposure with everolimus or placebo coadministration. All everolimus regimens are with the tablet formulation except 0.75 mg QD (capsule).

 

An additional analysis of the impact of everolimus exposure on CsA disposition was based on linear regression of everolimus AUC versus the coadministration/baseline CsA AUC ratios (day 21/0). As shown in Figure 4, the slope of the relationship was not significantly different from that of a horizontal line (P = .24).



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Figure 4. Linear regression to explore the relationship of everolimus exposure and the change in cyclosporine AUC during QD steady-state coadministration. Regression equation: Y = 0.0001 • X + 1.13; slope not significantly different from zero (P = .24).

 

    DISCUSSION
 TOP
 ABSTRACT
 MATERIAL AND METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
This article reports the results of the first multiple oral dose clinical study of everolimus tablets. Everolimus or placebo was administered as add-on therapy to maintenance renal transplant patients on a double immunosuppressive regimen consisting of CsA microemulsion formulation and steroids. The characteristics of subjects enrolled in the study matched those of the intended target population; however, it is important to note that no black patients were included in this trial. It is noteworthy that patients randomized to receive placebo had a significant increase in CsA exposure over the course of the study on average by 15%. It is likely that this reflects improved compliance while participating in a controlled clinical trial. A similar 15% to 20% increase of CsA pharmacokinetic parameters was noted in placebo-treated patients of a parallel North American trial.6 As a consequence, changes in CsA pharmacokinetics in patients receiving everolimus needed to be assessed in comparison to the placebo arm of the study. This was addressed at 3 levels of increasing refinement: (1) CsA dose histories, (2) comparison of CsA pharmacokinetic parameters across everolimus dose groups, and (3) regression of everolimus exposure versus the change in CsA exposure.

No CsA dose reductions were performed in the placebo arm, and 28 of 44 patients (64%) randomized to receive everolimus maintained the same CsA dose throughout the study. The remaining 14 patients had generally small dose reductions of ≤50 mg, probably reflecting the improved compliance during the course of the study. Only 1 patient had a reduction of 75 mg. Since these patients were evenly distributed across all everolimus dose levels, increasing everolimus exposure did not appear to have a strong influence on CsA exposure based on CsA-dosing histories. This observation extends the previous report on 24 patients receiving the service capsule formulation of everolimus.6 No dose changes under everolimus treatment were reported in this smaller study, suggesting no major impact on CsA pharmacokinetics under steady-state conditions. However, the fact that all patients who received CsA dosage adjustments were on active everolimus and none on placebo and that all were CsA dosage reductions might suggest that there was indeed a minor interaction occurring. Unfortunately, even the analysis of 2 large prospective trials with more than 580 patients each could not solve this question as the mean CsA dose was about 9% lower in everolimus-treated patients, but this reached statistical significance only in the global trial, not in the American trial.22 In this regard, it is important to note that smaller drug interactions cannot be detected based on CsA-dosing histories alone, mainly because CsA dose changes depend on the fluctuating CsA trough levels (with a coefficient of variation in this study of 14%-20%), which precludes the detection of smaller pharmacokinetic interactions.

We next analyzed CsA trough concentrations in greater detail. To avoid any additional interassay variability, all CsA concentrations were determined in a central laboratory. CsA trough concentration trajectories demonstrated a general rise in troughs over the study duration in the majority of patients receiving placebo, suggesting better patient compliance during the course of the clinical trial. In cohorts of patients receiving everolimus, a similar or even lower proportion of patients had significant increases in trough levels. Again, this observation is in line with the previously reported North American study, in which 29% of patients had increasing CsA trough levels over the course of the study.6 Furthermore, even large studies in de novo renal allograft recipients failed to demonstrate a clear effect of low everolimus doses (1.5-3 mg/d) on CsA trough level.22 Although dose-normalized Cmin was approximately 10% higher in everolimus-treated patients, this difference reached statistical significance only in the global trial and failed to reach statistical significance in the American trial. Using a population pharmacokinetic approach, it was found that everolimus-treated patients had similar CsA trough levels compared to mycophenolate mofetil-treated patients, and there was only a weak correlation between everolimus exposure and CsA trough levels, suggesting congregation of high absorber status and/or poor clearance for both drugs.25 In addition, 3 de novo trials could not demonstrate a significant impact of everolimus dosing (0.5-4 mg) on CsA levels24,28,29; however, these trials had no control group of patients not receiving everolimus. The detailed analysis in our European cohort of stable maintenance patients provided further evidence that everolimus, assessed over a wide dosing range, has no major impact on CsA trough levels, which would be expected to have a clinical meaningful effect. Important to note is the rather large coefficient of variation (14%-20%) in consecutive CsA trough level determinations, even in this closely monitored, selected, and compliant study population. This probably reflects the highly variable CsA pharmacokinetics and makes the detection of smaller changes of CsA exposure based on trough level monitoring difficult.27

Because CsA trough levels do not adequately reflect CsA drug exposure,27 individual CsA pharmacokinetic parameters from the full profiles were compared between baseline and coadministration with everolimus across different everolimus dose groups. ANOVA detected higher CsA exposure during coadministration with everolimus; however, this was also detected in the placebo arm. To more specifically address potential differences among everolimus dose levels, the CsA AUC ratios (coadministration/baseline) were compared across groups. The mean ratio was 1.15 for placebo and did not significantly differ in the everolimus dose groups in which the ratios ranged from 1.08 to 1.43. Finally, the above approaches categorize each patient's everolimus exposure into the nominal everolimus regimen they received, which may down-play interindividual variation in the systemic everolimus exposure. By contrast, linear regression analysis incorporates everolimus exposure (AUC on day 21) as a continuous variable. When regressed against the change in CsA exposure, the relationship was not different from a horizontal line over the full range of everolimus AUCs achieved in this study. Using abbreviated pharmacokinetic profiles from 256 de novo patients, Kovarik et al22 could not find differences between everolimus-treated patients and patients receiving mycophenolate mofetil with regard to CsA AUC and Cmax. In 953 paired observations, they observed only a weak correlation (r = 0.38) between everolimus exposure and CsA exposure and only a modest rise in dose-adjusted Cmin. The effect of everolimus on CsA exposure was clearly much less pronounced than the intra- and interindividual variability of CsA.22

Within the limitations of the study, our comprehensive and thorough evaluations over a broad range of everolimus exposures suggest that steady-state CsA pharmacokinetics was not influenced by steady-state coadministration of everolimus to a significant degree that would be expected to have a clinical effect, based on what is known about CsA pharmacokinetics. This conclusion is in agreement with preclinical pharmacokinetic studies in rats and monkeys9,30 and with previous clinical studies6,22,24,26 in which steady-state coadministration of 0.5 to 7.5 mg everolimus with CsA did not affect the pharmacokinetics of the latter. In addition, single-dose administration of everolimus to renal transplant patients5 or healthy volunteers23 resulted in no interaction with CsA pharmacokinetics. Kirchner and colleagues31,32 performed a detailed analysis of CsA metabolites in a small number of patients. They could not detect an impact of everolimus on CsA metabolites after single-dose and multiple-dose administration,31,32 which excluded a significant influence of everolimus on the time-concentration relationship and the metabolism of CsA under steady-state conditions. Finally, the single and multiple oral administration of sirolimus did not reveal any pharmacokinetic interaction on CsA blood concentrations13-15,20 in renal transplant recipients. Because both drugs are structurally closely related and share most metabolic pathways, this observation provides further evidence that there is no significant drug interaction of everolimus on CsA pharmacokinetics, but this cannot rule out pharmacodynamic interactions of both drugs.

Similar to tacrolimus and CsA, sirolimus and everolimus are metabolized to some extent in the small intestine and extensively in the liver via cytochrome P450 3A4 enzymes and are countertransported in the gut lumen by the multidrug efflux pump, p-glycoprotein; these processes account for low bioavailability and high pharmacokinetic variability.2,4,13 As a consequence of this wide interpatient variability, it is not possible to rule out that some patients have an interaction to everolimus. This has been described for other drugs interacting with CsA, in which some patients are more sensitive to the interaction than are others (eg, serial metabolic inhibition studies with diltiazem33). Larger, specifically designed studies are needed to further explore this issue.

As immunosuppressive doses and concentrations of CsA in humans are usually 100-fold higher than those of everolimus, the competition between both drugs for elimination pathways would favor an influence of CsA on everolimus compared with the reverse situation. This indeed has been shown in animal models, in which CsA increased the systemic exposure to everolimus. Similarly, CsA seems to exert rather strong effects on everolimus exposure in humans, as demonstrated in a single-dose study.23 The effect of CsA seems to be dependent on the CsA formulation, as Neoral exhibited much stronger effects on everolimus exposure (168% increase) compared with the previous CsA formulation (Sandimmun; 74% increase). Because everolimus was added to patients already receiving CsA, there was no opportunity to examine the possible effect of CsA on everolimus pharmacokinetics in this study. Similar to everolimus, in preclinical models, sirolimus increased the bioavailability of CsA by 2- to 3-fold,19 with an approximately 2-fold increase in the CsA concentrations in rat tissues.9,16,18 From these studies, it was suggested that the pharmacokinetic interaction between both drugs might contribute to the observed in vivo synergism. However, this pharmacokinetic interaction with increased drug concentrations in renal tissue might be responsible for the aggravation of CsA-induced renal dysfunction, as has been suggested by Podder et al.16 Whether these data derived from experimental models transfer to humans is yet unclear.

Despite their structural similarity and identical mode of action, sirolimus and everolimus clearly differ in their pharmacological metabolism.17 Although CYP 3A4 is mainly responsible for the metabolism of both sirolimus and everolimus, the total intrinsic clearance of the CYP-dependent formation of everolimus metabolites is 3-fold lower than for sirolimus, and some of the main metabolic rate constants are drastically (up to 15-fold) reduced.17 In contrast to sirolimus, everolimus decreased CsA concentration in rat brain mitochondria.9 Furthermore, sirolimus enhances CsA toxicity on rat brain; everolimus, however, had no effect on CsA toxicity and even improved some deleterious effects of CsA on high-energy phosphate metabolism.9

Taken together, our data provide further evidence that everolimus coadministration exhibits no relevant effect on pharmacokinetics and CsA exposure in Caucasians that would be expected to have a clinical effect, based on what we know today about CsA pharmacokinetics. This observation clearly extends our knowledge on this interesting new immunosuppressive compound, suggesting that everolimus could be used concomitantly with the microemulsion formulation of CsA using either QD or the standard BID dosage. However, the present study did not address the question of pharmacodynamic interactions, which might be responsible for the increased incidence of calcineurin-related toxicity, seen in clinical studies, when everolimus or sirolimus were coadministered with CsA.1,3,10,16,28,29 Because of limitations of the present study, which do not allow us to detect smaller changes or changes in subpopulations (eg, black patients; patients who differ in their expression of CYP 3A or p-glycoprotein), this finding will, however, need to be confirmed over longer periods of coadministration in broader patient populations.


    ACKNOWLEDGEMENTS
 TOP
 ABSTRACT
 MATERIAL AND METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
This study was supported by Novartis Pharma AG, Basel, Switzerland. The authors are grateful for the help of J. Kovarik in preparing the article.


The study group contains the following additional members: L. Lerat (Nantes, France), K. Nordal (Oslo, Norway), L. Müller, R. Brunkhost (Hannover, Germany), I. A. Hauser (Frankfurt, Germany), B. Charpentier (Safety Board member, Le Kremlin Bicêntre, France), P. McMaster (Safety Board member, Birmingham, United Kingdom), Albrecht-Georg Schmidt, Annette Jappe, Nathalie Cambon, Janet Von Fellenberg, Khazal Paradis, Silke Appel-Dingemanse, Francois Legay (Basel, Switzerland), and Christophe Gerbeau (Paris, France).

DOI: 10.1177/0091270005277196


    REFERENCES
 TOP
 ABSTRACT
 MATERIAL AND METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 

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