Hideaki Kagaya

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.

Impact of the CYP3A4*1G polymorphism and its combination with CYP3A5 genotypes on tacrolimus pharmacokinetics in renal transplant patients

AIM Tacrolimus is a substrate of CYP3A4 and CYP3A5. The present study investigated the impact of the CYP3A4*1/*1G polymorphism compared with CYP3A5 genotypes on the dose-adjusted pharmacokinetics of tacrolimus. The effects of the polymorphism on the variability in tacrolimus pharmacokinetics among patients with the CYP3A5*1 allele (CYP3A5 expresser) and among those with CYP3A5*3/*3 genotype (nonexpresser) were also studied. MATERIALS & METHODS A total of 136 renal allograft recipients were given repeated doses of tacrolimus every 12 h. On day 28 after the renal transplantation, blood tacrolimus concentrations were measured, and dose-adjusted pharmacokinetics were determined and compared with the corresponding genotype. RESULTS The dose-adjusted AUC₀₋₁₂ and C₀ of tacrolimus were significantly lower in patients with the CYP3A4*1G allele and CYP3A5 expressers than those with the CYP3A4*1/*1 genotype and nonexpressers, respectively. In a multiple regression analysis, the dose-adjusted AUC₀₋₁₂ and C₀ values were associated with CYP3A4*1/*1 (p = 0.018 and 0.040, respectively) and CYP3A5*3/*3 (p < 0.001 each). The standardized regression coefficient for the AUC₀₋₁₂ of tacrolimus was approximately twofold less for CYP3A4*1/*1 than CYP3A5*3/*3. The lowest dose-adjusted AUC₀₋₁₂ was found in CYP3A5 expressers with the CYP3A4*1G allele. CONCLUSION The CYP3A4*1/*1G polymorphism was associated with the pharmacokinetics of tacrolimus, however, its contribution to dose-adjusted pharmacokinetics was approximately twofold less than that of the CYP3A5*1/*3 polymorphism. Although its effect on CYP3A4 activity is not clear, CYP3A4*1/*1G may be a candidate for a polymorphism affecting the interindividual variability in tacrolimus pharmacokinetics among CYP3A5 expressers.

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.

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.

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.

Comparison of pharmacokinetics and pharmacogenetics of once- and twice-daily tacrolimus in the early stage after renal transplantation.

Background This study investigated pharmacokinetic and pharmacogenetic differences between a modified-release once-daily formulation of tacrolimus (Tac-QD) and the original formulation requiring twice-daily intake (Tac-BID) in de novo renal transplant recipients. Methods Forty-seven and 25 patients who received Tac-BID and Tac-QD, respectively, were enrolled. The pharmacokinetics and CYP3A5 6986A>G and ABCB1 3435C>T pharmacogenetics of each formulation were analyzed on day 28 posttransplantation. Results The dose-adjusted trough level (C0) and area under the concentration-time curve (AUC0-24) of tacrolimus were approximately 25% lower for Tac-QD than Tac-BID. However, there was a good correlation between the AUC0-24 and C0 in the Tac-BID and Tac-QD groups (r2=0.575, P<0.001; and r2=0.638, P<0.001, respectively) and a similar coefficient in each regression equation. The dose-adjusted AUC0-24 was approximately 25% lower in carriers of the CYP3A*1 allele (CYP3A5 expressers), but not individuals with the CYP3A*3/*3 genotype (nonexpressers), for TAC-QD than Tac-BID. In the Tac-QD group, the interpatient variability for dose-adjusted parameters was small, and the interquatile ranges of dose-adjusted parameters differed between CYP3A5 expressers and nonexpressers and did not overlap. The ABCB1 polymorphism was not associated with any pharmacokinetic parameters of Tac-QD. Conclusions C0-guided monitoring may lead to similar AUC0-24 values for both formulations. However, to maintain the same AUC0-24 value, a higher dose of Tac-QD than Tac-BID may be needed, especially for CYP3A5 expressers, in the early stage posttransplantation. The narrow interindividual variability of Tac-QD pharmacokinetics and its difference between CYP3A5 expressers and nonexpressers might contribute to a dosing strategy based on CYP3A5 genotype.

Lack of tacrolimus circadian pharmacokinetics and CYP3A5 pharmacogenetics in the early and maintenance stages in Japanese renal transplant recipients

AIMS We investigated whether tacrolimus pharmacokinetics shows circadian variation and the influence of the CYP3A5 A6986G polymorphism on the pharmacokinetics in both the early and maintenance stages after renal transplantation. METHODS Tacrolimus was administered twice daily at specified times (09.00 and 21.00 h) throughout the pre- and post-transplant period according to the trough-targeting strategy. Fifty recipients with stable graft function were studied on day 28 and beyond 1-year post transplantation. Whole blood samples were collected prior to and 1, 2, 3, 4, 6, 9 and 12 h after both the morning and evening doses during hospitalization. RESULTS Tacrolimus pharmacokinetics did not show circadian variation in either the early or maintenance stage [AUC(0-12) 197.1 (95% confidence interval 182.9, 212.3) in daytime vs. 203.6 ng h ml(-1) (189.8, 217.4) in the night-time at day 28, 102.0 (92.1, 111.9) vs. 107.7 (97.9, 117.5) at 1 year, respectively]. In CYP3A5 *1 allele carriers (CYP3A5 expressers), body weight-adjusted oral clearance was markedly decreased from the early stage to the maintenance stage [0.622 (0.534, 0.709) to 0.369 l h(-1) kg(-1) (0.314, 0425)] compared with a smaller decrease [0.368 (0.305, 0.430) to 0.305 (0.217, 0.393)] in CYP3A5 non-expressers; however, the CYP3A5 genetic variation did not influence tacrolimus chronopharmacokinetics. CONCLUSION Equivalent daytime and night-time tacrolimus pharmacokinetics were achieved during both the early and maintenance stages with our specified-time administration strategy. The CYP3A5 polymorphism may be associated with the time-dependent changes in the oral clearance of tacrolimus, suggesting that genotyping of this polymorphism is useful for determining the appropriate dose of tacrolimus in both the early and maintenance stages after renal transplantation.