Lawrence Soon-U Lee

CYP3A5*3 and bilirubin predict midazolam population pharmacokinetics in Asian cancer patients.

We aim to evaluate the influence of covariates, including cytochrome P450 3A (CYP3A) genetic polymorphisms, on the pharmacokinetics of midazolam (MDZ) in Asian cancer patients, using a population pharmacokinetic approach. Pharmacokinetic data were obtained from 24 adult cancer patients who received an intravenous bolus dose of 1 mg MDZ as a CYP3A phenotyping probe, 1‐day before starting FOLFIRI chemotherapy. Concentrations of MDZ and its major metabolites, 1′‐hydroxymidazolam (1OHM) and 1′‐hydroxymidazolam glucuronide (HMG) were measured using liquid chromatography/mass spectrometry. The population pharmacokinetic study was conducted using NONMEM. Demographics, clinical characteristics, and genetic polymorphisms were screened as covariates. A two‐compartment model for MDZ and two sequential compartments representing 1OHM and HMG best described the data. The CYP3A5*3 and total bilirubin level significantly influenced MDZ clearance. The population typical MDZ clearance for CYP3A5*3 expressers was 22% lower than non‐expressers. Baseline bodyweight was a statistically significant covariate for clearance and distribution volume of 1OHM. Creatinine clearance was positively correlated with HMG clearance. Our data indicate that CYP3A5*3, total bilirubin, bodyweight, and creatinine clearance are important predictors of MDZ and metabolite pharmacokinetics. Further studies in more patients are needed to explore the links between the identified covariates and the disposition of MDZ and its metabolites.

Population pharmacokinetics of rifampicin and 25-deacetyl-rifampicin in healthy Asian adults

OBJECTIVES Rifampicin is a first-line anti-TB drug. The objectives of this analysis were to evaluate the population pharmacokinetics of rifampicin and its partly active metabolite, 25-deacetyl-rifampicin, with and without isoniazid, and to identify covariates that may explain variability in their disposition under steady-state conditions. METHODS Thirty-four healthy Asian subjects were randomized to receive rifampicin (600 mg) or rifampicin (600 mg)/isoniazid (300 mg) daily for 14 days. After a 14 day washout, subjects were switched over to rifampicin (600 mg)/isoniazid (300 mg) or rifampicin (600 mg) daily. Plasma concentration-time data were analysed using NONMEM to estimate population pharmacokinetic parameters and evaluate relationships between parameters and demographic factors, and metabolic enzyme, transporter and transcriptional regulator genotypes. Allometric scaling of clearance and volume of distribution terms based on body weight was applied. RESULTS A one-compartment model in which absorption was described by a transit absorption model best described the rifampicin data. 25-Deacetyl-rifampicin pharmacokinetic data were best described by a two-compartment model linked to the rifampicin model. None of the investigated covariates significantly influenced the disposition of rifampicin and 25-deacetyl-rifampicin. The apparent clearance of rifampicin and 25-deacetyl-rifampicin was estimated at 10.3 [relative standard error (RSE) 5.6%] and 95.8 (RSE 10%) L/h, respectively, for 70 kg adults. CONCLUSIONS The pharmacokinetics of rifampicin and its main metabolite were characterized. Prospective studies with a larger number of participants, including patients, are needed to validate the results of this study.

Population Pharmacokinetic Analysis of Isoniazid, Acetylisoniazid, and Isonicotinic Acid in Healthy Volunteers

ABSTRACT In this study, we aimed to quantify the effects of the N-acetyltransferase 2 (NAT2) phenotype on isoniazid (INH) metabolism in vivo and identify other sources of pharmacokinetic variability following single-dose administration in healthy Asian adults. The concentrations of INH and its metabolites acetylisoniazid (AcINH) and isonicotinic acid (INA) in plasma were evaluated in 33 healthy Asians who were also given efavirenz and rifampin. The pharmacokinetics of INH, AcINH, and INA were analyzed using nonlinear mixed-effects modeling (NONMEM) to estimate the population pharmacokinetic parameters and evaluate the relationships between the parameters and the elimination status (fast, intermediate, and slow acetylators), demographic status, and measures of renal and hepatic function. A two-compartment model with first-order absorption best described the INH pharmacokinetics. AcINH and INA data were best described by a two- and a one-compartment model, respectively, linked to the INH model. In the final model for INH, the derived metabolic phenotypes for NAT2 were identified as a significant covariate in the INH clearance, reducing its interindividual variability from 86% to 14%. The INH clearance in fast eliminators was 1.9- and 7.7-fold higher than in intermediate and slow eliminators, respectively (65 versus 35 and 8 liters/h). Creatinine clearance was confirmed as a significant covariate for AcINH clearance. Simulations suggested that the current dosing guidelines (200 mg for 30 to 45 kg and 300 mg for >45 kg) may be suboptimal (3 mg/liter ≤ Cmax ≤ 6 mg/liter) irrespective of the acetylator class. The analysis established a model that adequately characterizes INH, AcINH, and INA pharmacokinetics in healthy Asians. Our results refine the NAT2 phenotype-based predictions of the pharmacokinetics for INH.

Pharmacokinetics of ertapenem in outpatients with complicated urinary tract infections

OBJECTIVES Ertapenem is a broad-spectrum carbapenem antibiotic used to treat severe bacterial infections. In view of its dosing convenience, it is increasingly used as outpatient therapy. The objective of this study was to determine the pharmacokinetics and renal disposition of ertapenem in outpatients with complicated urinary tract infections. METHODS Ertapenem was administered as a daily intravenous infusion of 1 g over 30 min. At steady-state, blood and urine samples were collected over one dosing interval. Drug concentrations in serum and urine were determined using a validated liquid chromatography-tandem mass spectrometry method. A population pharmacokinetic model was used to characterize ertapenem serum and urine profiles. The likelihood of the standard dosing achieving a favourable pharmacokinetic-pharmacodynamic exposure was evaluated using Monte Carlo simulations. RESULTS Ten adult male patients were studied. Concentration-time profiles of ertapenem in both serum (r(2) =0.997) and urine (r(2) =0.982) were captured satisfactorily. Mean values for volume of distribution, clearance and elimination t½ were 4.8 L, 0.7 L/h and 6.1 h, respectively. A high ertapenem concentration (>128 mg/L) could be attained in the urine at 40% of the dosing interval. CONCLUSIONS The pharmacokinetics of ertapenem in serum and urine were characterized. Our simulations suggested that a sufficiently high ertapenem concentration could be achieved in urine to overcome low to intermediate resistance. Clinical investigations to validate our findings are warranted.

Combined use of irinotecan with histone deacetylase inhibitor belinostat could cause severe toxicity by inhibiting SN-38 glucuronidation via UGT1A1

SN-38, the active metabolite of irinotecan, and histone deacetylase inhibitors (HDACis) such as belinostat, vorinostat and panobinostat, have all been shown to be deactivated by glucuronidation via UGTs. Since they all compete for UGTs for deactivation, we aimed to investigate the inhibitory effect of various HDACis on the glucuronidation of SN-38. This inhibitory effect was determined by measuring the formation rate of SN-38 glucuronide after SN-38 incubation with human recombinant UGT1A isoforms (1A1, 1A6, 1A7 and 1A9) and pooled human liver microsomes (HLM, wild type, UGT1A1*1*28 and UGT1A1*28*28 allelic variants), with and without HDACis. The data showed that belinostat at 100 and 200 µmol/L inhibited SN-38 glucuronidation via UGT1A1 in a dose-dependent manner, causing significant decrease in Vmax and CLint (p < 0.05) from 12.60 to 1.95 pmol/min/mg and 21.59 to 4.20 μL/min/mg protein respectively. Similarly, in HLMs, Vmax dropped from 41.13 to 10.54, 24.96 to 3.77 and 6.23 to 3.30 pmol/min/mg, and CLint reduced from 81.25 to 26.11, 29.22 to 6.10 and 5.40 to 1.34 µL/min/mg protein for the respective wild type, heterozygous and homozygous variants. Interestingly, belinostat at 200 µmol/L that is roughly equivalent to the average Cmax, 183 µmol/L of belinostat at a dose of 1,400 mg/m2 given intravenously once per day on days 1 to 5 every 3 weeks, was able to inhibit both heterozygous and homozygous variants to same extents (~64%). This highlights the potential clinical significance, as a large proportion of patients could be at risk of developing severe toxicity if irinotecan is co-administered with belinostat.

Population pharmacokinetics of modafinil and its acid and sulfone metabolites in Chinese males.

Background: Modafinil is a psychostimulant used to treat excessive sleepiness. The aim of this study was to develop a population pharmacokinetic model of modafinil and its major metabolites in Chinese male adults and to identify covariates that predict variability in disposition. Methods: Eighty healthy volunteer subjects were randomized to 4 oral dose groups: 3 doses of 50 mg of modafinil, 3 doses of 100 mg of modafinil, 2 doses of 200 mg of modafinil plus 1 dose of placebo, or 3 doses of placebo (each dose given 8 hourly). Blood samples were collected up to 58 hours post–first dose for plasma concentrations of modafinil and its metabolites. Pharmacokinetic data analyses were performed using noncompartmental and compartmental approaches. The population pharmacokinetic study was conducted using the nonlinear mixed-effects model software, NONMEM, and validated using the bootstrap, crossvalidation and visual predictive check approaches. Results: Data were best described by a 5-compartment model: 2 compartments for modafinil (first-order absorption from gut compartment) and 1 each for modafinil acid and modafinil sulfone. A covariate analysis identified body weight as influencing volumes of the central and peripheral compartments for modafinil. All the parameters were estimated with good precision (relative standard error < 39%). The visual predictive check found that the final pharmacokinetic model adequately predicted observed concentrations of all 3 molecular species. The authors developed dosing schedules to achieve minimum trough plasma modafinil concentrations of 3 mcg/mL. Conclusions: A robust population pharmacokinetic model for modafinil and its metabolites was developed for the first time. Based on this model, individualized dosing based on weight is now possible.

Phenotyping of UGT1A1 Activity Using Raltegravir Predicts Pharmacokinetics and Toxicity of Irinotecan in FOLFIRI

Background Irinotecan toxicity correlates with UGT1A1 activity. We explored whether phenotyping UGT1A1 using a probe approach works better than current genotyping methods. Methods Twenty-four Asian cancer patients received irinotecan as part of the FOLFIRI regimen. Subjects took raltegravir 400 mg orally and intravenous midazolam 1 mg. Pharmacokinetic analyses were performed using WinNonLin and NONMEM. Genomic DNA was isolated and screened for the known genetic variants in UGT1A1 and CYP3A4/5. Results SN-38G/SN-38 AUC ratio correlated well with Raltegravir glucuronide/ Raltegravir AUC ratio (r = 0.784 p<0.01). Midazolam clearance correlated well with irinotecan clearance (r = 0.563 p<0.01). SN-38 AUC correlated well with Log10Nadir Absolute Neutrophil Count (ANC) (r = -0.397 p<0.05). Significant correlation was found between nadir ANC and formation rate constant of raltegravir glucuronide (r = 0.598, P<0.005), but not UGT1A1 genotype. Conclusion Raltegravir glucuronide formation is a good predictor of nadir ANC, and can predict neutropenia in East Asian patients. Prospective studies with dose adjustments should be done to develop raltegravir as a probe to optimize irinotecan therapy. Trial Registration Clinicaltrials.gov NCT00808184