BACKGROUND AND OBJECTIVE Tacrolimus is an immunosuppressive drug used for the prevention of the allograft rejection in the kidney allograft recipients. It exhibits a narrow therapeutic index and a large pharmacokinetic variability. Tacrolimus is mainly metabolized by cytochrome P450 (CYP) 3A4 and 3A5, and effluxed via ATP-binding cassette (ABC) transporters such as P-glycoprotein (P-gp), encoded by ABCB1 gene. The influence of CYP3A5*3 on the pharmacokinetics of tacrolimus has been well characterized. On the other hand, the contribution of polymorphisms in other genes is controversial. In addition, the involvement of other efflux transporter than P-gp in tacrolimus disposition is uncertain. The present study was designed to investigate the effects of genetic polymorphisms of CYP3As and efflux transporters on the pharmacokinetics of tacrolimus. SUBJECTS AND METHODS A total of 500 blood concentrations of tacrolimus from 102 adult stable kidney transplant recipients were included in the analyses. Genetic polymorphisms in CYP3A4 and CYP3A5 genes as well as the genes of efflux transporters including P-gp (ABCB1), multidrug resistance-associated protein (MRP2/ABCC2) and breast cancer resistance protein (BCRP/ABCG2) were genotyped. For ABCC2 gene, haplotypes were determined as follows: H1 (wild type), H2 (1249G>A), H9 (3972C>T) and H12 (−24C>T and 3972C>T). Population pharmacokinetic analysis was performed using nonlinear mixed effects modeling. RESULTS Analyses revealed that CYP3A5 expressers (CYP3A5*1 carriers) and MRP2 high activity group (ABCC2 H2/H2 and H1/H2) decreased the dose-normalized trough concentration of tacrolimus by 2.3-fold (p<0.001) and 1.5-fold (p=0.007), respectively. The pharmacokinetics of tacrolimus was best described using a two-compartment model with first order absorption and an absorption lag time. In the population pharmacokinetic analysis, CYP3A5 expressers and MRP2 high activity groups were identified as the significant covariates for tacrolimus apparent clearance expressed as 20.7 × (Age/50)−0.78 × 2.03 (CYP3A5 expressers) × 1.40 (MRP2 high activity group). No other CYP3A4, ABCB1 and ABCG2 polymorphisms were associated with the apparent clearance of tacrolimus. CONCLUSIONS This is the first report that MRP2/ABCC2 has crucial impacts on the pharmacokinetics of tacrolimus in a haplotype specific manner. Determination of ABCC2 as well as CYP3A5 genotype may be useful for more accurate tacrolimus dosage adjustment.

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Background and Objectives Dipeptidyl peptidase-4 (DPP4) inhibition is a potential strategy to increase the engraftment rate of hematopoietic stem/progenitor cells. A recent clinical trial using sitagliptin, a DPP4 inhibitor approved for type 2 diabetes mellitus, has shown to be a promising approach in adults with hematological malignancies after umbilical cord blood (UCB) hematopoietic cell transplant (HCT). Based on data from this clinical trial, a semi-mechanistic model was developed to simultaneously describe DPP4 activity after multiple doses of sitagliptin in subjects with hematological malignancies after a single-unit UCB HCT. Methods The clinical study included 24 patients that received myeloablative conditioning followed by 4 oral sitagliptin 600mg with single-unit UCB HCT. Using a nonlinear mixed effects approach, a semi-mechanistic pharmacokinetic/pharmacodynamic model was developed to describe DPP4 activity from this trial data using NONMEM 7.2. The model was used to drive Monte-Carlo simulations to probe various dosage schedules and the attendant DPP4 response. Results The disposition of sitagliptin in plasma was best described by a 2-compartment model. The relationship between sitagliptin concentration and DPP4 activity was best described by an indirect response model with a negative feedback loop. Simulations showed that twice a day or three times a day dosage schedules were superior to once daily schedule for maximal DPP4 inhibition at the lowest sitagliptin exposure. Conclusion This study provides the first pharmacokinetic/pharmacodynamic model of sitagliptin in the context of HCT, and provides a valuable tool for exploration of optimal dosing regimens, critical for improving time to engraftment in patients after UCB HCT.

1. Disposition of tacrolimus and its major metabolites, 13-O-desmethyl tacrolimus (13-DMT) and 15-O-desmethyl tacrolimus (15-DMT), was evaluated in stable kidney transplant recipients in relation to diabetes mellitus and genetic polymorphism of cytochrome P450 (CYP) 3A. 2. Steady-state concentration-time profiles were obtained for 12-hour or 2-hour post dose, in twenty (11 with diabetes) and thirty-two (24 with diabetes) patients, respectively. In addition, single nucleotide polymorphisms of the following genes: CYP3A4 (CYP3A4: CYP3A4*1B, - 392A>G), 3A5 (CYP3A5: CYP3A5*3, 6986A>G) and P-glycoprotein (ABCB1: 3435C>T), were characterized. 3. Dose-normalized exposure to tacrolimus or metabolites were higher in diabetic patients. CYP3A4*1B carriers and CYP3A5 expressers, independently or when considered as a combined CYP3A4-3A5 genotype, had significantly lower dose-normalized pre-dose (C0/dose) and 2-hour post dose (C2/dose) concentrations of tacrolimus and metabolites. Nondiabetic patients with at least one CYP3A4*1B and CYP3A5*1 allele had lower C0/dose as compared to the rest of the population. 4. Genetic polymorphism of CYP3A5 or CYP3A4 influence tacrolimus or metabolites dose normalized concentrations but not metabolite to parent concentration ratios. The effect of diabetes on tacrolimus metabolism is subject to debate and requires a larger sample size of genetically stratified subjects.

Metformin is the first-line pharmacotherapy choice for treating type-2 diabetes mellitus, alone or in combination with other antidiabetic drugs. During the development of immediate-release (IR) metformin containing novel fixed-dose combination (FDC) products, several health-authorities require sponsors to demonstrate bioequivalence between FDC products and the country-sourced metformin for market approval. Eight bioequivalence studies that compared metformin/vildagliptin FDC product (test) to metformin IR tablet sourced from various countries (reference) were conducted. A population pharmacokinetic (PPK) analysis of pooled metformin concentration-time data was performed to evaluate whether country-sourced metformin is a significant covariate. The PPK analysis demonstrated that there was no clinically relevant effect of metformin source or race/ethnicity on metformin pharmacokinetics. Also, noncompartmental analysis conducted showed that 90%CI of geometric mean ratios of test to reference metformin formulations, calculated for maximum-concentration and exposure parameters, were within the 80%-125% criteria, indicating comparable metformin exposure regardless of the country-sourced metformin IR formulation. These results are consistent with the biopharmaceutics properties of metformin and provide scientific evidence that after assessing in vitro dissolution of novel FDC formulation, additional bioequivalence studies with multiple countries' reference products may not be required once bioequivalence is established with 1 country-sourced IR metformin formulation.

2567 Background: MLN0128 (INK128) is an investigational oral, potent, and highly selective inhibitor of mammalian target of rapamycin complex 1 and 2 (mTORC1/2) currently in clinical investigation. In the phase1 study INK128-001, MLN0128 was administered once daily (QD), once weekly (QW), QDx3D/week, and QDx5D/week, with respective MTDs of 6, 40, 16, and 10 mg. To guide selection of dose/schedule for further investigation, PD modulation in skin (pS6, p4EBP1, pNDRG1, pPRAS40) was put into context of clinical PK in INK128-001. A preclinical translational dynamic-PK efficacy model was used to describe the relationship and determine PK drivers of efficacy in tumor xenograft models. This model was implemented using human PK parameters to predict tumor volume-time curves, which was utilized to help determine the optimal MLN0128 dose/schedule. Methods: Phoenix NLME v1.1 was used for compartmental modeling of clinical and preclinical PK data, and modeling the preclinical PK-efficacy relationship of MLN0128. PD activity in skin was measured by immunohistochemistry, reported as H scores. Tumor growth curves were simulated using NONMEM v7.2; predicted tumor growth curves were plotted in S-Plus v8.1. Results: Clinical skin PD data suggests exposure dependent inhibition of pS6, and p4EBP1. A two compartment PK model adequately described the PK characteristics of MLN0128 [mean (%CV) ka: ~5.305 h-1 (114), k12: ~0.490 h-1(85), k21: ~0.67 h-1(69), V/F: ~180 L (44), Tlag: 0.317 h (73)]. Simulation of human tumor volume-time curves suggest efficacy is dependent on schedule and that MLN0128 administered in more frequent schedules (QD, QDx5D) provides stronger antitumor effect vs less frequent schedules (QW, QDx3D). Conclusions: The results indicate that per unit MLN0128 plasma exposure, QD and QDx5D may be optimal in comparison with QDx3D and QW dosing. However, these results will also need to be put into context with the overall safety profile and respective MTDs and RP2Ds for each schedule with their resultant achievable total cycle dose by schedule. Clinical trial information: NCT01058707.

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Vildagliptin/metformin FDC tablets were bioequivalent to their free combinations. Food decreased the C(max) of metformin by 26%, while AUC(last) was unchanged, consistent with previous reports. No food effect was observed on the C(max) or AUC(last) of vildagliptin. Thus, food had no clinically relevant effects on the PK of metformin or vildagliptin.