Population pharmacokinetic modelling of febuxostat in healthy subjects and people with gout.

AIMS: To investigate and characterise the pharmacokinetics of febuxostat and the effect of the covariates of renal function and body size descriptors on the pharmacokinetics of the drug. METHODS: Blood samples (n = 239) were collected using sparse and rich sampling strategies from healthy (n = 9) and gouty (n = 29) subjects. Febuxostat plasma concentrations were measured by a validated high-performance liquid chromatography method. Population pharmacokinetic analysis was performed using NONMEM. A common variability on bioavailability (FVAR) approach was used to test the effect of fed status on absorption parameters. Covariates were modelled using a power model. RESULTS: The time course of the plasma concentrations of febuxostat is best described by a two-compartment model. In the final model, the population mean for apparent clearance (CL/F), apparent central volume of distribution (Vc/F), apparent peripheral volume of distribution (Vp/F), absorption rate constant (ka) and apparent intercompartmental clearance (Q/F) were 6.91 l h-1 , 32.8 l, 19.4 l, 3.6 h-1 and 1.25 l h-1 , respectively. The population parmater variability (coefficient of variation) for CL/F, Vc/F and Vp/F were 13.6, 22 and 19.5%, respectively. Food reduced the relative biovailability and ka by 67% and 87%, respectively. Renal function, as assessed by creatinine clearance, was a significant covariate for CL/F while body mass index was a significant covariate for Vc/F. CONCLUSIONS: Renal function and body mass index were significant covariates. Further work is warranted to investigate the clinical relevance of these results, notably as renal impairment and obesity are common occurrences in people with gout.

A physiologically based pharmacokinetic model of clopidogrel in populations of European and Japanese ancestry: An evaluation of CYP2C19 activity.

Treatment response to clopidogrel is associated with CYP2C19 activity through the formation of the active H4 metabolite. The aims of this study were to develop a physiologically based pharmacokinetic (PBPK) model of clopidogrel and its metabolites for populations of European ancestry, to predict the pharmacokinetics in the Japanese population by CYP2C19 phenotype, and to investigate the effect of clinical and demographic factors. A PBPK model was developed and verified to describe the two metabolic pathways of clopidogrel (H4 metabolite, acyl glucuronide metabolite) for a population of European ancestry using plasma data from published studies. Subsequently, model predictions in the Japanese population were evaluated. The effects of CYP2C19 activity, fluvoxamine coadministration (CYP2C19 inhibitor), and population-specific factors (age, sex, BMI, body weight, cancer, hepatic, and renal dysfunction) on the pharmacokinetics of clopidogrel and its metabolites were then characterized. The predicted/observed ratios for clopidogrel and metabolite exposure parameters were acceptable (twofold acceptance criteria). For all CYP2C19 phenotypes, steady-state AUC0-τ of the H4 metabolite was lower for the Japanese (e.g., EM, 7.69 [6.26-9.45] ng·h/ml; geometric mean [95% CI]) than European (EM, 24.8 [20.4-30.1] ng·h/ml, p < .001) population. In addition to CYP2C19-poor metabolizer phenotype, fluvoxamine coadministration, hepatic, and renal dysfunction were found to reduce H4 metabolite but not acyl glucuronide metabolite concentrations. This is the first PBPK model describing the two major metabolic pathways of clopidogrel, which can be applied to populations of European and Japanese ancestry by CYP2C19 phenotype. The differences between the two populations appear to be determined primarily by the effect of varying CYP2C19 liver activity.

Clinical Pharmacokinetic and Pharmacodynamic Considerations in the (Modern) Treatment of Melanoma.

Targeted therapies, based on identification of common oncogenic mutations such as BRAF V600E/K and monoclonal antibody immunotherapies, have transformed the treatment of melanoma. Dual mitogen-activated protein kinase (MAPK) pathway inhibition of BRAF V600E/K and MEK 1/2 kinases with BRAF-MEK inhibitors using dabrafenib-trametinib, vemurafenib-cobimetinib and encorafenib-binimetinib is now the standard of care for BRAF V600E/K tumours. Monoclonal antibodies, such as pembrolizumab and nivolumab, against programmed cell death protein (PD-1) on T cells, as well as ipilimumab against cytotoxic T lymphocyte antigen-4 (CTLA-4), enable restoration of suppressed T-cell antitumour response, and have also shown improved clinical benefit compared with traditional chemotherapy. Exploration of different combination therapies, sequence of treatment, and dosing strategies is ongoing, and the understanding of the pharmacokinetics (PK) and pharmacodynamics (PD) of these new agents is fundamental in devising the optimal regimen. Preclinical and clinical studies, as well as population PK modelling, provide essential data in terms of PK parameters, metabolism, interpatient variability, drug interactions and PD effects at the target. This review gathers the current evidence and understanding of the clinical PK and PD of drugs used in the modern treatment of melanoma, and the factors determining drug disposition, exposure and clinical response, and also highlighting areas of further research.

Pharmacokinetic and cytokine profiles of melanoma patients with dabrafenib and trametinib-induced pyrexia.

PURPOSE: The combination of a BRAF inhibitor dabrafenib and a MEK inhibitor trametinib (CombiDT) has improved outcomes compared with chemotherapy or BRAF inhibitor monotherapy in advanced BRAF V600E/K melanoma. However, CombiDT causes a high incidence of pyrexia and treatment interruptions. Pharmacokinetic analysis may provide an explanation for the pyrexia. METHODS: 34 patients with Stage 3 BRAF V600 melanoma were treated with CombiDT on a clinical trial between August 2014 and June 2017. Plasma concentrations of drugs and metabolites were determined using validated LC-MS assays, in addition to analysis of a panel of cytokines. RESULTS: Pyrexia was experienced by 71% of the patients, with an additional 17% requiring dose interruption related to a pyrexia-like prodrome. Dabrafenib concentrations ranged from 4.0 to 4628 ng/ml and trametinib from 1.0 to 45 ng/ml in 34 patients. N-desmethyl-dabrafenib was the most prevalent metabolite, followed by carboxy- and hydroxy-dabrafenib. No definitive association between pyrexia and AUC or Cmin of the drugs, or metabolites could be observed. The level of IL-1B at the early during treatment (EDT) (as a % of pre-treatment) was higher in the pyrexia group (median 109% (range 32-681%) than in the no-incidence group [56% (26-79%)] (p = 0.029). Similarly, the level of IL-6 at EDT was higher in the pyrexia group [181% (34-3156%) vs 73% (57-101%)] (p = 0.028). CONCLUSIONS: No apparent associations between pyrexia and exposure to the drugs or metabolites could be observed. Greater elevations in IL-1B and IL-6 were observed in patients with pyrexia during the first week of treatment compared to those without pyrexia.

A dosing algorithm for metformin based on the relationships between exposure and renal clearance of metformin in patients with varying degrees of kidney function.

PURPOSE: The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CLR), and apparent non-renal clearance of metformin (CLNR/F) in patients with varying degrees of kidney function and to develop dosing recommendations. METHODS: Plasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CLCR; range, 14-112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC0-τ, CLR, and CLNR/F. RESULTS: The data (66 patients, 327 observations) were best described by a two-compartment model, and CLCR was a covariate for CLR. Mean CLR was 17 L/h (CV 22%) and mean CLNR/F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19-75%) over a dosage interval. When CLR increased due to improved renal function, AUC0-τ decreased proportionally, while CLNR/F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CLCR/3 × 100 to obtain median AUC0-12 of 18-26 mg/L/h for metformin IR and AUC0-24 of 38-51 mg/L/h for metformin XR, with Cmax < 5 mg/L. CONCLUSIONS: The proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.

A population pharmacokinetic model of AT9283 in adults and children to predict the maximum tolerated dose in children with leukaemia.

AIMS: AT9283 is used to treat patients with solid tumours and patients with leukaemia. However, the maximum tolerated dose (MTD) for children with leukaemia remains unknown due to early termination of the Phase I trial. The aim of this study was to develop a population model of AT9283 to describe the pharmacokinetics in adults and children and to estimate the MTD in children with leukaemia. METHODS: Data from Phase I dose-escalation studies in adults and children were used to build a population pharmacokinetic model (NONMEM v7.3). Potential covariates investigated included body weight, body surface area (BSA), glomerular filtration rate (GFR), age and sex. Model-derived area under the concentration-time curve was used to investigate the relationship between dose and exposure in adults and children. RESULTS: The plasma concentrations of AT9283 (n = 1770) from 92 patients (53 adults, 39 children) were used to build a two-compartment model with all pharmacokinetic parameters scaled using body weight. Renal function (GFR), but not BSA, was a significant covariate for the clearance of AT9283. In children with leukaemia (median weight 16 kg), a flat dose of 500 mg 72 h-1 provided similar drug exposures at the MTD as the adult population. The estimated MTD for children with leukaemia, therefore, is 30 mg kg-1  72 h-1 . CONCLUSION: For adults, GFR was a significant predictor of clearance, whilst body-weight based dosing was more useful than BSA in determining the drug exposure in children. The MTD was estimated to be 30 mg kg-1  72 h-1 children with leukaemia.

The variability in beta-cell function in placebo-treated subjects with type 2 diabetes: application of the weight-HbA1c-insulin-glucose (WHIG) model.

AIM: The weight-glycosylated haemoglobin (HbA1C)-insulin-glucose (WHIG) model describes the effects of changes in weight on insulin sensitivity (IS) in newly diagnosed, obese subjects receiving placebo treatment. This model was applied to a wider population of placebo-treated subjects, to investigate factors influencing the variability in IS and ß-cell function. METHODS: The WHIG model was applied to the WHIG dataset (Study 1) and two other placebo datasets (Studies 2 and 3). Studies 2 and 3 consisted of nonobese subjects and subjects with advanced type 2 diabetes mellitus (T2DM). Body weight, fasting serum insulin (FSI), fasting plasma glucose (FPG) and HbA1c were used for nonlinear mixed-effects modelling (using NONMEM v7.2 software). Sources of interstudy variability (ISV) and potential covariates (age, gender, diabetes duration, ethnicity, compliance) were investigated. RESULTS: An ISV for baseline parameters (body weight and ß-cell function) was required. The baseline ß-cell function was significantly lower in subjects with advanced T2DM (median difference: Study 2: 15.6%, P < 0.001; Study 3: 22.7%, P < 0.001) than in subjects with newly diagnosed T2DM (Study 1). A reduction in the estimated insulin secretory response in subjects with advanced T2DM was observed but diabetes duration was not a significant covariate. CONCLUSION: The WHIG model can be used to describe the changes in weight, IS and ß-cell function in the diabetic population. IS remained relatively stable between subjects but a large ISV in ß-cell function was observed. There was a trend towards decreasing ß-cell responsiveness with diabetes duration, and further studies, incorporating subjects with a longer history of diabetes, are required.

The pharmacokinetics of metformin and concentrations of haemoglobin A1C and lactate in Indigenous and non-Indigenous Australians with type 2 diabetes mellitus.

AIMS: To compare the pharmacokinetics of metformin between diabetic Indigenous (Aboriginal and Torres Strait Islander) and non-Indigenous patients. METHODS: An observational, cross-sectional study was conducted on type 2 diabetic Indigenous and non-Indigenous patients treated with metformin. Blood samples were collected to determine metformin, lactate, creatinine and vitamin B12 concentrations and glycosylated haemoglobin levels. A population model was used to determine the pharmacokinetic parameters. RESULTS: The Indigenous patients (median age 55 years) were younger than the non-Indigenous patients (65 years), with a difference of 10 years (95% confidence interval 6-14 years, P < 0.001). The median glycosylated haemoglobin was higher in the Indigenous patients (8.5%) than in the non-Indigenous patients (7.2%), with a difference of 1.4% (0.8-2.2%, P < 0.001). Indigenous patients had a higher creatinine clearance (4.3 l h(-1) ) than the non-Indigenous patients (4.0 l h(-1) ), with a median difference of 0.3 l h(-1) (0.07-1.17 l h(-1) ; P < 0.05). The ratio of the apparent clearance of metformin to the creatinine clearance in Indigenous patients (13.1, 10.2-15.2; median, interquartile range) was comparable to that in non-Indigenous patients (12.6, 9.9-14.9). Median lactate concentrations were also similar [1.55 (1.20-1.88) vs. 1.60 (1.35-2.10) mmol l(-1) ] for Indigenous and non-Indigenous patients, respectively. The median vitamin B12 was 306 pmol l(-1) (range 105-920 pmol l(-1) ) for the Indigenous patients. CONCLUSIONS: There were no significant differences in the pharmacokinetics of metformin or plasma concentrations of lactate between Indigenous and non-Indigenous patients with type 2 diabetes mellitus. Further studies are required in Indigenous patients with creatinine clearance <30 ml min(-1) .

The Role of Metformin in Metformin-Associated Lactic Acidosis (MALA): Case Series and Formulation of a Model of Pathogenesis.

BACKGROUND: Lactic acidosis is an adverse event associated with metformin usage. Patients with metformin-associated lactic acidosis (MALA), however, often have other conditions contributing to the event. The relative contribution of metformin is often unclear. MALA is usually diagnosed without measuring the plasma concentrations of metformin. OBJECTIVES: The objectives of this study were, first, to examine the plasma concentrations of metformin, lactate and creatinine and the arterial pH of patients with suspected MALA and, second, to review critically the mechanisms of MALA. METHODS: Patients who were suspected of having MALA were identified during the period October 2008-September 2011. Repeated blood samples were collected to determine the plasma concentrations of lactate, metformin and creatinine. The pH of arterial blood was also measured on several occasions in each patient. RESULTS: Patients (n = 15; 9 female, 6 male) were 70 ± 12 years of age. There was one acute metformin overdose (estimated dose 5 g). Metformin was undetectable in one patient and one patient had therapeutic concentrations of metformin on admission (<5 mg/L). There were ten patients with chronic kidney disease, whereby the estimated glomerular filtration rate (eGFR) was less than 60 mL/min/1.73 m(2) before the acidotic event. Metformin doses ranged from 1 to 3 g daily (excluding the deliberate overdose). On admission, the mean plasma concentration of metformin on admission was 29.8 ± 19.1 mg/L (mean ± SD), the mean lactate concentration was 12.9 ± 6.1 mmol/L and the mean pH was 7 ± 0.2. The mean creatinine concentration on admission was 481 ± 225 µmol/L. The main pre-admission symptoms were vomiting and diarrhoea (n = 12). There were linear relationships between venous lactate, venous creatinine and arterial pH, with the venous plasma concentrations of metformin in most patients. Three patients died but metformin was unlikely to have been a significant factor. DISCUSSION AND REVIEW: Most patients with MALA presented to the hospital with high metformin concentrations. The following factors appear to have been involved in the development of MALA in these patients: vomiting and diarrhoea, acute kidney injury, high doses or excessive accumulation of metformin, and acute disease states leading to tissue hypoxia. The extent of metformin accumulation in patients with MALA can be determined by investigating the concentrations of metformin. We suggest that the development of MALA is due to a positive feedback system involving one or more of these factors. While nausea is a common adverse effect of metformin, vomiting and diarrhoea out of the ordinary is a clear first sign of MALA. In this condition, dosage with metformin should be stopped and patients should receive urgent medical attention.

Population pharmacokinetics of metformin in healthy subjects and patients with type 2 diabetes mellitus: simulation of doses according to renal function.

BACKGROUND AND OBJECTIVE: Metformin is contraindicated in patients with renal impairment; however, there is poor adherence to current dosing guidelines. In addition, the pharmacokinetics of metformin in patients with significant renal impairment are not well described. The aims of this study were to investigate factors influencing the pharmacokinetic variability, including variant transporters, between healthy subjects and patients with type 2 diabetes mellitus (T2DM) and to simulate doses of metformin at varying stages of renal function. METHODS: Plasma concentrations of metformin were pooled from three studies: patients with T2DM (study A; n = 120), healthy Caucasian subjects (study B; n = 16) and healthy Malaysian subjects (study C; n = 169). A population pharmacokinetic model of metformin was developed using NONMEM(®) version VI for both the immediate-release (IR) formulation and the extended-release (XR) formulation of metformin. Total body weight (TBW), lean body weight (LBW), creatinine clearance (CLCR; estimated using TBW and LBW) and 57 single-nucleotide polymorphisms (SNPs) of metformin transporters (OCT1, OCT2, OCT3, MATE1 and PMAT) were investigated as potential covariates. A nonparametric bootstrap (n = 1,000) was used to evaluate the final model. This model was used to simulate 1,000 concentration-time profiles for doses of metformin at each stage of renal impairment to ensure metformin concentrations do not exceed 5 mg/l, the proposed upper limit. RESULTS: Creatinine clearance and TBW were clinically and statistically significant covariates with the apparent clearance and volume of distribution of metformin, respectively. None of the 57 SNPs in transporters of metformin were significant covariates. In contrast to previous studies, there was no effect on the pharmacokinetics of metformin in patients carrying the reduced function OCT1 allele (R61C, G401S, 420del or G465R). Dosing simulations revealed that the maximum daily doses in relation to creatinine clearance to prescribe to patients are 500 mg (15 ml/min), 1,000 mg (30 ml/min), 2,000 mg (60 ml/min) and 3,000 mg (120 ml/min), for both the IR and XR formulations. CONCLUSION: The population model enabled doses of metformin to be simulated for each stage of renal function, to ensure the concentrations of metformin do not exceed 5 mg/l. However, the plasma concentrations of metformin at these dosage levels are still quite variable and monitoring metformin concentrations may be of value in individualising dosage. This study provides confirmatory data that metformin can be used, with appropriate dosage adjustment, in patients with renal impairment.

Clinical pharmacokinetics of metformin.

Metformin is widely used for the treatment of type 2 diabetes mellitus. It is a biguanide developed from galegine, a guanidine derivative found in Galega officinalis (French lilac). Chemically, it is a hydrophilic base which exists at physiological pH as the cationic species (>99.9%). Consequently, its passive diffusion through cell membranes should be very limited. The mean ± SD fractional oral bioavailability (F) of metformin is 55 ± 16%. It is absorbed predominately from the small intestine. Metformin is excreted unchanged in urine. The elimination half-life (t(½)) of metformin during multiple dosages in patients with good renal function is approximately 5 hours. From published data on the pharmacokinetics of metformin, the population mean of its clearances were calculated. The population mean renal clearance (CL(R)) and apparent total clearance after oral administration (CL/F) of metformin were estimated to be 510 ± 130 mL/min and 1140 ± 330 mL/min, respectively, in healthy subjects and diabetic patients with good renal function. Over a range of renal function, the population mean values of CL(R) and CL/F of metformin are 4.3 ± 1.5 and 10.7 ± 3.5 times as great, respectively, as the clearance of creatinine (CL(CR)). As the CL(R) and CL/F decrease approximately in proportion to CL(CR), the dosage of metformin should be reduced in patients with renal impairment in proportion to the reduced CL(CR). The oral absorption, hepatic uptake and renal excretion of metformin are mediated very largely by organic cation transporters (OCTs). An intron variant of OCT1 (single nucleotide polymorphism [SNP] rs622342) has been associated with a decreased effect on blood glucose in heterozygotes and a lack of effect of metformin on plasma glucose in homozygotes. An intron variant of multidrug and toxin extrusion transporter [MATE1] (G>A, SNP rs2289669) has also been associated with a small increase in antihyperglycaemic effect of metformin. Overall, the effect of structural variants of OCTs and other cation transporters on the pharmacokinetics of metformin appears small and the subsequent effects on clinical response are also limited. However, intersubject differences in the levels of expression of OCT1 and OCT3 in the liver are very large and may contribute more to the variations in the hepatic uptake and clinical effect of metformin. Lactic acidosis is the feared adverse effect of the biguanide drugs but its incidence is very low in patients treated with metformin. We suggest that the mean plasma concentrations of metformin over a dosage interval be maintained below 2.5 mg/L in order to minimize the development of this adverse effect.