Masatomo Miura

Influence of CYP3A5 and drug transporter polymorphisms on imatinib trough concentration and clinical response among patients with chronic phase chronic myeloid leukemia

Imatinib mesylate (IM) trough concentration varies among IM-treated chronic myeloid leukemia (CML) patients. Although IM pharmacokinetics is influenced by several enzymes and transporters, little is known about the role of pharmacogenetic variation in IM metabolism. In this study, associations between IM trough concentration, clinical response and 11 single-nucleotide polymorphisms in genes involved in IM pharmacokinetics (ABCB1, ABCC2, ABCG2 CYP3A5, SLC22A1 and SLCO1B3) were investigated among 67 Japanese chronic phase CML patients. IM trough concentration was significantly higher in patients with a major molecular response than in those without one (P=0.010). No significant correlations between IM trough concentration and age, weight, body mass index or biochemical data were observed. However, the dose-adjusted IM trough concentration was significantly higher in patients with ABCG2 421A than in those with 421C/C (P=0.015). By multivariate regression analysis, only ABCG2 421A was independently predictive of a higher dose-adjusted IM trough concentration (P=0.015). Moreover, previous studies have shown that the ABCG2 421C>A (p.Q141K) variant is prevalent among Japanese and Han Chinese individuals and less common among Africans and Caucasians. Together, these data indicate that plasma IM concentration monitoring and prospective ABCG2 421C>A genotyping may improve the efficacy of IM therapy, particularly among Asian CML patients.

Influence of drug transporters and UGT polymorphisms on pharmacokinetics of phenolic glucuronide metabolite of mycophenolic acid in Japanese renal transplant recipients.

Mycophenolic acid (MPA) is mainly glucuronized by uridine diphosphate-glucuronosyltransferases (UGTs) into the phenolic MPA glucuronide (MPAG). MPAG is excreted by transporters such as organic anion-transporting polypeptide (gene SLCO), multidrug resistance protein 2 (gene ABCC2), breast cancer resistance protein (BCRP, gene ABCG2) or P-glycoprotein (gene ABCB1). This study investigated the association of UGTs, SLCOs, ABCB1, ABCC2, and ABCG2 polymorphisms with MPAG pharmacokinetics in 80 Japanese renal transplant recipients. Eighty recipients were given repeated doses of combination immunosuppressive therapy consisting of mycophenolate mofetil and tacrolimus every 12 hours at a designated time (0900 and 2100). On day 28, after renal transplantation, plasma concentrations of MPA and MPAG were measured by high-performance liquid chromatography. There were no significant differences in the area under the plasma concentration-time curve (AUC) ratio of MPAG/MPA between UGT1A1, UGT1A6, UGT1A7, UGT1A8, and UGT1A9 I399C/T genotypes. On the other hand, the median dose-adjusted AUC0-12 of MPAG in SLCO1B1 1a/1a+1a/1b+1b+1b (n = 53) and 1a/*15 + 1b/*15+*15/*15 (n = 27) were 1549 and 1134 mg·h L−1 g−1, respectively (P = 0.03004 in multivariate analysis). The median dose-adjusted AUC0-12 of MPAG in SLCO1B3 334T/T+T/G (699G/G+G/A, n = 46) and 334G/G (699A/A, n = 34) was 1191 and 1580 mg·h L−1 g−1, respectively (P = 0.02792 in multivariate analysis). There were no significant differences in the dose-adjusted AUC0-12 of MPAG between the ABCB1 C3435T and ABCC2 C-24T genotypes. However, the dose-adjusted AUC0-12 of MPAG was significantly lower in recipients with ABCG2 421C/A+A/A (n = 44) than in those with C/C (n = 36) (P = 0.0295). In conclusion, our findings showed that MPAG pharmacokinetics were significantly influenced by SLCO1B1 and SLCO1B3 polymorphisms and not by UGT polymorphisms. BCRP rather than multidrug resistance protein 2 seems to be the transporter associated with biliary excretion of MPAG.

Mycophenolate, clinical pharmacokinetics, formulations, and methods for assessing drug exposure

UNLABELLED This article summarizes part of a consensus meeting about mycophenolate (MPA) therapeutic drug monitoring held in Rome under the auspices of The Transplantation Society in November 2008 (Clin J Am Soc Nephrol. 2010;5:341-358). This part of the meeting focused on the clinical pharmacokinetics of MPA and included discussion on how to measure MPA (active drug) exposure and the differences between the currently available formulations. SUMMARY POINTS Because of variability in the dose-concentration relationship, MPA exposure should be measured and doses should be adjusted accordingly to achieve optimal clinical outcomes. Suggested therapeutic exposures derived for MPA from mycophenolate mofetil (MMF) may differ to those that could be useful for MPA from enteric-coated mycophenolate sodium (EC-MPS), particularly if limited sampling strategies or single concentration, especially trough concentrations, is used, as the concentration-time profiles of MPA from the 2 formulations are quite different. The 2 MPA formulations cannot be considered as bioequivalent. The area under the concentration-time curve (AUC 0-12) is considered the criterion standard for monitoring of MPA, which is a reflection of exposure to the drug over the entire dosing period. If a limited sampling protocol coupled with multilinear regression or Bayesian estimation is used to estimate this parameter, it should be used only for the population in which the model has been developed and should preferably include at least one time point after 4 hours (preferably around 8 or 9 hours after MMF dosing). If a single time point is to be used as a surrogate for an AUC 0-12, trough concentration of MPA may be the most practical but, from a pharmacokinetic standpoint, is not the most informative time point to choose. Because limited sampling strategies to estimate MPA exposure from EC-MPS have not yet been well developed and fully evaluated, nor have accurate Bayesian estimators been reported, AUC 0-12 measurement is still necessary to obtain reliable estimates of MPA exposure in patients treated with EC-MPS. The measurement of MPA trough concentrations should not be used at all for MPA exposure assessment following administration of EC-MPS. Because limited sampling strategies to estimate MPA exposure from EC-MPS have not yet been well developed and fully evaluated, nor have accurate Bayesian estimators been reported, AUC 0-12 measurement is still necessary to obtain reliable estimates of MPA exposure in patients treated with EC-MPS. The measurement of MPA trough concentrations should not be used at all for MPA exposure assessment following administration of EC-MPS. Lower (or higher) than expected total MPA exposure in patients with severe renal impairment may still indicate sufficient free MPA exposure. Mycophenolate free exposure measurement/estimation is likely to be beneficial in patients with severe renal impairment (creatinine clearance b25 mL/min) to guide dosage estimation, especially because renal function changes over time after transplant, while recognizing that robust prospective studies to show the clinical advantage of measuring free MPA exposure are still required. Lower total measured MPA exposure in patients with hypoalbuminemia may still indicate sufficient free MPA exposure. Mycophenolate free concentration measurement and estimation of exposure are likely to be beneficial in patients with a serum albumin less than or equal to 31 g/L to guide interpretation of MPA exposure. A 1.5-g twice-daily starting dose of MMF rather than a 1-g twice-daily starting dose of MMF is more likely to achieve the minimum target MPA exposure in adult transplant recipients receiving concomitant cyclosporine therapy. Because the cyclosporine dose is progressively tapered following transplantation, MPA exposure should be measured repeatedly and MMF should be doses adjusted accordingly to achieve optimal clinical outcome. Mycophenolate exposure should be measured in the first week after transplant, then each week for the first month, each month until month 3, and subsequently every 3 months up to 1 year with appropriate dosage adjustment, as AUC is likely to increase over time. After 1 year, if dosage requirement has stabilized, MPA exposure can be assessed each time the immunosuppressive regimen is changed or a potentially interacting drug is introduced or withdrawn. Assessment of UGT1A9 single nucleotide polymorphisms (-275TNA, -2152CNT, -440CNT, -331TNC) should be considered before transplantation to assist in dosing decisions to achieve optimal MPA exposure immediately after transplant. Consideration of the points summarized above should lead to more effective dosage adjustment based on sound applied pharmacokinetic and pharmacodynamic principles.

Influence of CYP3A5, ABCB1 and NR1I2 polymorphisms on prednisolone pharmacokinetics in renal transplant recipients.

The objective of this study was to evaluate whether genetic polymorphisms of CYP3A5 (A6986G, CYP3A5*3), ABCB1 (C1236T, G2677T/A, C3435T) and NR1I2 (A7635G) significantly impact the pharmacokinetics of prednisolone in renal transplant recipients. Ninety-five recipients were given repeated doses of triple therapy immunosuppression consisting of prednisolone, tacrolimus and mycophenolate mofetil. Twenty-eight days after renal transplantation, plasma prednisolone concentrations were measured by high-performance liquid chromatography. Comparisons of the CYP3A5 and ABCB1 genotypes revealed no significant differences in the prednisolone pharmacokinetics. The mean prednisolone C(max) for recipients (n=14) having both the ABCB1 3435CC genotype and the CYP3A5*3/*3 genotype was significantly higher than those (n=11) having both ABCB1 3435TT and CYP3A5*3/*3 genotypes (180ng/mL versus 129ng/mL, P=0.0392). The plasma concentrations of prednisolone in recipients having both ABCB1 3435CC and CYP3A5*3/*3 genotypes tended to be higher than those having both ABCB1 3435TT and CYP3A5*3/*3 genotypes. The mean AUC(0-24) and C(max) values for prednisolone in recipients having the NR1I2 7635G allele (AG: n=45, GG: n=32) were significantly lower than in patients having the 7635AA allele (n=18) (7635GG versus 7635AA, P=0.0308 for AUC(0-24), P=0.0382 for C(max) of prednisolone). In conclusion, NR1I2 (A7635G) rather than CYP3A5 or ABCB1 allelic variants affected patient variability of plasma prednisolone concentration. Recipients carrying the NR1I2 7635G allele seemed to possess higher metabolic activity for prednisolone in the intestine, greatly reducing its maximal plasma concentration.

Influence of lansoprazole and rabeprazole on mycophenolic acid pharmacokinetics one year after renal transplantation.

Peptic ulcer disease is a common complication after organ transplantation, and long-term administration of antiulcer agents is needed in many renal transplant recipients. Although several drug interactions with mycophenolic acid (MPA), the active metabolite of the prodrug mycophenolate mofetil (MMF), have been reported, little is known about the interaction between MPA and proton pump inhibitors (PPIs). The present study investigated the drug interaction between MMF and lansoprazole or rabeprazole and the impact of cytochrome (CYP) 2C19, and multidrug resistance (MDR)1 C3435T polymorphisms on these drug interactions at 1 year after renal transplantation. Retrospectively, 61 recipients were divided into 3 groups: MMF and tacrolimus as combination immunosuppressive therapy, together with either 30 mg lansoprazole (n = 22) or 10 mg rabeprazole (n = 17), or without PPI (n = 22). One year after transplantation, plasma concentrations of MPA were measured by high-performance liquid chromatography. The mean dose-unadjusted and -adjusted Cmax of MPA with 30 mg lansoprazole were significantly lower than those without PPI (11.8 vs. 17.8 μg/mL, P = 0.0197, and 22.6 vs. 33.1 ng/mL/mg MMF, P = 0.0222, respectively). In recipients having the CYP2C19 *1/*2+*1/*3 or MDR1 C3435T CC genotype, the mean dose-adjusted AUC0-12 of MPA with 30 mg lansoprazole was significantly smaller than that with 10 mg rabeprazole or without PPI. The plasma concentration of MPA was influenced by 30 mg lansoprazole but not 10 mg rabeprazole. Because of the greater gastric acid secretion-inhibitory effect of 30 mg lansoprazole in recipients having the CYP2C19 *1/*2+*1/*3 (intermediate metabolizer) or MDR1 C3435T CC genotype, the elution and hydrolysis of MMF might be decreased. Although the clinical relevance might be minor, the fact that administration of 30 mg lansoprazole in patients having the CYP2C19 *2 or *3 allele or the MDR1 C3435T CC genotype diminishes the absorption of MPA in the maintenance stage after renal transplantation should be taken into consideration with regard to the MPA pharmacokinetics.

The different effects of itraconazole on the pharmacokinetics of fexofenadine enantiomers.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT Recently, we have shown that the plasma concentration of R-fexofenadine is greater than that of the S-enantiomer. Although itraconazole co-administration is known to increase the bioavailability of a racemic mixture of fexofenadine, little is known about the stereoselective inhibition of P-gp activity by itraconazole. WHAT THIS STUDY ADDS This study indicates that the stereoselective pharmacokinetics of fexofenadine are due to P-gp-mediated transport and its stereoselectivity is altered by itraconazole, a an inhibitor of P-gp. AIMS The aim of this study was to determine the inhibitory effect of itraconazole, a P-glycoprotein (P-gp) inhibitor, on the stereoselective pharmacokinetics of fexofenadine. METHODS A two-way double-blind, placebo-controlled crossover study was performed with a 2-week washout period. Twelve healthy volunteers received either itraconazole 200 mg or matched placebo in a randomized fashion with a single oral dose of fexofenadine 60 mg simultaneously. The plasma concentrations and the amount of urinary excretion (Ae) of fexofenadine enantiomers were measured up to 24 h after dosing. RESULTS After placebo administration, mean AUC(0,24 h) of S- and R-fexofenadine was 474 ng ml(-1) h (95% CI 311, 638) and 798 ng ml(-1) h (95% CI 497, 1101), respectively. Itraconazole affected the pharmacokinetic parameters of S-fexofenadine more, and increased AUC(0,24 h) of S-fexofenadine and R-fexofenadine by 4.0-fold (95% CI of differences 2.8, 5.3; P < 0.001) and by 3.1-fold (95% CI of differences 2.2, 4.0; P = 0.014), respectively, and Ae(0,24 h) of S-fexofenadine and R-fexofenadine by 3.6-fold (95% CI of differences 2.6, 4.5; P < 0.001) and by 2.9-fold (95% CI of differences 2.1, 3.8; P < 0.001), respectively. Additionally, the R : S ratio for AUC(0,24 h) and Ae(0,24 h) were significantly reduced in the itraconazole phase, while t(max), t(1/2) and renal clearance were constant during the study. CONCLUSIONS This study indicates that the stereoselective pharmacokinetics of fexofenadine are due to P-gp-mediated transport and its stereoselectivity is altered by itraconazole, a P-gp inhibitor. However, further study will be needed because the different affinities of the two enantiomers for P-gp have not been supported by in vitro studies.

Influence of drug-transporter polymorphisms on the pharmacokinetics of fexofenadine enantiomers

This study investigated an association of SLCO (encoding organic anion-transporting polypeptides (OATP), 1B1, 1B3, and 2B1), ABCB1 (P-glycoprotein (P-gp)), ABCC2 multidrug resistance protein 2 (MRP2), and ABCG2 (breast cancer resistance protein (BCRP)) polymorphisms with fexofenadine enantiomer pharmacokinetics after an oral dose of fexofenadine (60 mg) in 24 healthy subjects. The area under the plasma concentration-time curve (AUC0–24) of S-fexofenadine, but not R-fexofenadine, was significantly lower in subjects with a SLCO2B1*1/*1 allele as compared to subjects with a *3 allele (p = 0.031). The AUC0–24 of S-fexofenadine was significantly lower in subjects with a wild-type combination of SLCO2B1*1/*1/ABCB1 1236CC, SLCO2B1*1/*1/ABCB1 3435CC, SLCO2B1*1/*1/ABCC2 -24CC, and ABCB1 1236CC/3435CC/ABCC2 -24CC compared to other polymorphic genotypes (p = 0.010, 0.033, 0.022, and 0.036, respectively), whereas there was no difference in the AUC0–24 between the SLCO1B1/1B3 plus ABCB1 and ABCC2 groups. The pharmacokinetic properties of S-fexofenadine are affected by a single polymorphism of SLCO2B1 in combination with several polymorphisms of ABCB1 C1236T, C3435T, and ABCC2 C-24T. However, the ABCG2 polymorphism was not associated with fexofenadine pharmacokinetics. These findings suggest that a combination of multiple transporters, including OATP, P-gp, and MRP2, reacts strongly to fexofenadine exposure in the small intestine and liver, resulting in different dispositions of both enantiomers.

Limited sampling strategy for simultaneous estimation of the area under the concentration-time curve of tacrolimus and mycophenolic acid in adult renal transplant recipients.

The aim of this study was to develop a limited sampling strategy to allow the simultaneous estimation of the area under the concentration-time curves (AUCs) of tacrolimus and mycophenolic acid (MPA), the active metabolite of the prodrug mycophenolate mofetil, using a small number of samples from patients undergoing renal transplantation. Fifty Japanese patients were enrolled. On day 28 after transplantation, samples were collected just before and 1, 2, 3, 4, 6, 9, and 12 hours after tacrolimus and mycophenolate mofetil administration at 9:00 am and 9:00 pm. The full pharmacokinetic profiles obtained from these timed concentration data were used to choose the best sampling times. Three error indices (percent mean error, percent mean absolute error, and percent relative mean square error) were used to evaluate the predictive bias, accuracy, and precision. The predicted AUC0-12 of MPA calculated at the three time points of C2h-C4h-C9h best approximated the actual AUC0-12 of MPA (r2 = 0.877), and the AUC0-12 of tacrolimus calculated at the same time points predicted a good correlation with the actual AUC (r2 = 0.928). When the three sampling times of trough level (C0h) and two other points within 4 hours after administration were used, the three points of C0h-C2h-C4h were the best points for estimation of the AUC0-12 tacrolimus and MPA (AUC0-12 = 7.04·C0 + 1.71·C2 + 3.23·C4 + 15.19, r2 = 0.799, P < 0.001 and AUC0-12 = 0.26·C0 + 2.06·C2 + 3.82·C4 + 20.38, r2 = 0.693, P < 0.001, respectively). The percent mean error, percent mean absolute error, and percent relative mean square error of the prediction formula using the three time points of C0h-C2h-C4h were -0.3%, 8.8%, and 13.5% for tacrolimus and 2.9%, 17.1%, and 21.5% for MPA, respectively. A limited sampling strategy using C2h-C4h-C9h provides the most reliable and accurate simultaneous estimation of the AUC0-12 of tacrolimus and MPA in patients undergoing renal transplantation. In addition, a limited sampling strategy using C0h-C2h-C4h is recommended for the simultaneous estimation of the AUC0-12 of tacrolimus and MPA when focused on samples collected within 4 hours after administration for clinical expediency.

Circadian pharmacokinetics of mycophenolic Acid and implication of genetic polymorphisms for early clinical events in renal transplant recipients.

Background. We investigated the mycophenolic acid (MPA) chronopharmacokinetics and the relation between MPA circadian exposure and the incidence of acute rejection (AR). The association between selected genetic polymorphisms and clinical events or MPA circadian exposure was also studied. Methods. Thirty recipients were studied one month after renal transplantation. Mycophenolate mofetil (MMF) was administered twice a day at a single dose of 0.5 g in four patients, 0.75 g in eight patients, and 1 g in 18 patients. Results. The daytime area under the concentration-time curve (AUC0–12) was larger than the nighttime AUC0–12 (55.09 vs. 50.54 &mgr;g·hr/ml, P=0.049). The Cmax and tmax of MPA after the morning dose were respectively higher and shorter than those after the night dose. Seven patients (23.3%) had AR episodes. The MMF single dose per body weight (12.46 mg/kg in patients with AR vs. 16.99 in patients without AR), daytime and nighttime AUC0–12 (32.41 vs. 62.00 and 24.44 vs. 57.88 &mgr;g·hr/ml) and morning trough level of MPA (1.03 vs. 3.83 &mgr;g/ml) were significantly lower in patients with AR than in those without AR. The percentage of patients requiring diminished dose of MMF due to diarrhea was higher among patients with the multidrug resistance 1 (MDR1) C3435T T allele than among those with the CC genotype (P=0.049). Conclusion. MPA pharmacokinetics showed circadian variations, and a lower MPA AUC in both daytime and nighttime was associated with the occurrence of AR in the early stage after renal transplantation. The MDR1 C3435T polymorphism might be associated with diarrhea due to MPA.

Influence of ugt1a7 and ugt1a9 Intronic I399 Genetic Polymorphisms on Mycophenolic Acid Pharmacokinetics in Japanese Renal Transplant Recipients

Abstract: UGT1A7 and UGT1A9 are uridine diphosphate-glucuronosyltransferase isoforms involved in the glucuronidation of mycophenolic acid (MPA). The aim of this study was to elucidate MPA pharmacokinetics in UGT1A7 and UGT1A9 intronic I399 genotypes in Japanese adult renal transplant recipients. Eighty recipients were given repeated doses of combination immunosuppressive therapy consisting of mycophenolate mofetil and tacrolimus every 12 hours at a designated time (9:00 am and 9:00 pm). On day 28 after renal transplantation, plasma MPA concentrations were measured by high-performance liquid chromatography. All patients had UGT1A9 98TT/-275TT/-2152CC and UGT1A10 177GG/605CC genotypes. The UGT1A7*1/*1, *1/*2, *1/*3, *2/*3, and *3/*3 genotypes were detected in 35 (43.8%), five (6.2%), 28 (35.0%), eight (10.0%), and four (5.0%) patients, respectively, and the UGT1A9 I399C/C, C/T, and T/T genotypes were detected in 12 (15.0%), 33 (41.2%), and 35 (43.8%) patients of the 80 Japanese recipients. There were no significant differences in MPA pharmacokinetics among UGT1A7 or UGT1A9 intronic I399 genotype groups. The mean dose-adjusted area under the plasma concentration-time curve from zero to 12 hours (AUC0-12) of MPA in UGT1A7*1/*1, *1/*2, *1/*3, *2/*3, and *3/*3 were 95, 98, 99, 88, and 86 ng·h/mL/mg, respectively (P = 0.9475). The mean dose-adjusted AUC0-12 of MPA in UGT1A9 I399C/C, C/T, and T/T were 87, 99, and 95 ng·h/mL/mg, respectively (P = 0.6937). The dose-adjusted trough levels of MPA in UGT1A9 I399C/C, C/T, and T/T were 5.4, 5.5, and 4.7 ng/mL/mg (P = 0.5845). Although UGT1A7*3 and UGT1A9 I399C/C are known to have low-activity variants when studied in vitro, they do not have reduced in vivo MPA glucuronidation activity. UGT1A7 and UGT1A9 I399 polymorphisms do not contribute to interindividual differences in MPA pharmacokinetics.