High Area Under The Concentration-time Curve Research Articles

NRF2 -617 C/A Polymorphism Impacts Proinflammatory Cytokine Levels, Survival, and Transplant-Related Mortality After Hematopoietic Stem Cell Transplantation in Adult Patients Receiving Busulfan-Based Conditioning Regimens

Busulfan (BU) is widely used in conditioning regimens prior to hematopoietic stem cell transplantation (HSCT). The exposure-escalated BU directed by therapeutic drug monitoring (TDM) is extremely necessary for the patients with high-risk hematologic malignancies in order to diminish relapse, but it increases the risk of drug-induced toxicity. BU exposure, involved in the glutathione- (GSH-) glutathione S-transferases (GSTs) pathway and proinflammatory response, is associated with clinical outcomes after HSCT. However, the expression of genes in the GSH-GSTs pathway is regulated by NF-E2-related factor 2 (Nrf2) that can also alleviate inflammation. In this study, we evaluated the influence of NRF2 polymorphisms on BU exposure, proinflammatory cytokine levels, and clinical outcomes in HSCT patients. A total of 87 Chinese adult patients receiving twice-daily intravenous BU were enrolled. Compared with the patients carrying wild genotypes, those with NRF2 -617 CA/AA genotypes showed higher plasma interleukin (IL)-6, IL-8 and tumor necrosis factor (TNF)-α levels, poorer overall survival (OS; RR = 3.91), and increased transplant-related mortality (TRM; HR = 4.17). High BU exposure [area under the concentration-time curve (AUC) > 9.27 mg/L × h)] was related to BU toxicities. Furthermore, NRF2 -617 CA/AA genotypes could significantly impact TRM (HR = 4.04; p = 0.0142) and OS (HR = 3.69; p = 0.0272) in the patients with high BU AUC. In vitro, we found that high exposure of endothelial cell (EC) to BU, in the absence of Nrf2, elicited the hyperstimulation of NF-κB-p65, accompanied with the elevated secretion of proinflammatory cytokines, and led to EC death. These results showed that NRF2 -617 CA/AA genotypes, correlated with high proinflammatory cytokine levels, could predict inferior outcomes in HSCT patients with high BU AUC. Thus, NRF2 -617 CA/AA genotyping combined with TDM would further optimize personalized BU dosing for sufficient efficacy and safety endpoint.

Evaluation of limited sampling models for prediction of oral midazolam AUC for CYP3A phenotyping and drug interaction studies

The area under the concentration-time curve (AUC) after oral midazolam administration is commonly used for cytochrome P450 (CYP) 3A phenotyping studies. The aim of this investigation was to evaluate a limited sampling strategy for the prediction of AUC with oral midazolam. A total of 288 concentration-time profiles from 123 healthy volunteers who participated in four previously performed drug interaction studies with intense sampling after a single oral dose of 7.5 mg midazolam were available for evaluation. Of these, 45 profiles served for model building, which was performed by stepwise multiple linear regression, and the remaining 243 datasets served for validation. Mean prediction error (MPE), mean absolute error (MAE) and root mean squared error (RMSE) were calculated to determine bias and precision The one- to four-sampling point models with the best coefficient of correlation were the one-sampling point model (8 h; r (2) = 0.84), the two-sampling point model (0.5 and 8 h; r (2) = 0.93), the three-sampling point model (0.5, 2, and 8 h; r (2) = 0.96), and the four-sampling point model (0.5,1, 2, and 8 h; r (2) = 0.97). However, the one- and two-sampling point models were unable to predict the midazolam AUC due to unacceptable bias and precision. Only the four-sampling point model predicted the very low and very high midazolam AUC of the validation dataset with acceptable precision and bias. The four-sampling point model was also able to predict the geometric mean ratio of the treatment phase over the baseline (with 90 % confidence interval) results of three drug interaction studies in the categories of strong, moderate, and mild induction, as well as no interaction. A four-sampling point limited sampling strategy to predict the oral midazolam AUC for CYP3A phenotyping is proposed. The one-, two- and three-sampling point models were not able to predict midazolam AUC accurately.

Variation in omeprazole pharmacokinetics in a random Iranian population: a pilot study

Omeprazole is metabolized in the liver mainly by the polymorphic CYP2C19 enzyme. Considerable ethnic differences have been reported in the pharmacokinetics of omeprazole. The present study was conducted to evaluate the pharmacokinetic parameters of omeprazole after a single oral administration to a random Iranian population. Thirty healthy male subjects, aged 24-31 years, weighing 60-98 kg completed the study. Plasma concentrations of omeprazole were measured over a 12 h period after administration of a single oral dose of 20 mg omeprazole. The pharmacokinetic parameters were calculated from the plasma concentration-time profiles. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was used to quantify 5-hydroxyomeprazole. The mean area under the concentration-time curve (AUC) from time zero to infinity (AUC(∞) ) values of omeprazole and the corresponding coefficient of variation (CV%) was 987.3 ng h/ml (65%). In general, most subjects showed a normal distribution. Only one subject showed a very high AUC compared with the corresponding mean AUC level. This subject had the highest half-life and the lowest rate of elimination. The omeprazole metabolic ratio for this subject was 2.9, while for the others it was in the range 0.12-0.56. These results are consistent with previous literature that showed the existence of interindividual variability in omeprazole pharmacokinetics, even within a single ethnic group. Differences in the pharmacokinetics could be due to differences in the genetic make-up of subjects as found in their omeprazole metabolic ratios.

Pharmacokinetic targeting of i.v. BU with fludarabine as conditioning before hematopoietic cell transplant: the effect of first-dose area under the concentration time curve on transplant-related outcomes

We used pharmacokinetic (PK) targeting of BU in 145 consecutive patients treated with fludarabine and i.v. BU. BU was given once daily at 130 mg/m(2) per day on days 1 and 2; doses for days 3 and 4 were adjusted in 92 patients (63%) to an average daily area under the concentration-time curve (AUC) of 5300 μM/min. In the remaining 53 patients, the first-dose AUC was within the target range and no dosing adjustments were required. First-dose AUC, maximum concentration and clearance were not correlated with age, race, ethnicity, performance status, or hematopoietic cell transplant comorbidity index. Women had higher clearance than men (median 2.9 vs 2.5 mL/min/kg; P=0.001). BU toxicities were not associated with first-dose AUC or any other PK parameter measured. First-dose BU AUC was not associated with non-relapse mortality (NRM) or survival, but higher AUC was predictive of relapse. We did not find an increased risk of toxicity or NRM in patients with high first-dose AUC presumably because of the dose adjustment. We conclude that PK targeting of BU as described here provides a simple, safe and effective method of delivering high BU doses before transplantation in a wide variety of patients.

Mycophenolic Acid Exposure in High- and Low-Weight Renal Transplant Patients After Dosing With Mycophenolate Mofetil in the Opticept Trial

The Opticept trial was an open-label, randomized, multicenter trial involving 720 kidney recipients. Three immunosuppressant dosing regimens were evaluated, including both fixed and concentration-controlled dosing of mycophenolate mofetil in combination with standard and reduced calcineurin inhibitor levels. Mycophenolic acid (MPA) levels were measured, yielding one of the largest databases to assess the impact of variables on MPA exposure. The present subset analysis evaluated the effect of baseline body weight in three noncontiguous weight categories on MPA exposure at steady state (Day 90) in patients receiving tacrolimus. Multivariate linear regression models assessed the relationship between area under the concentration-time curve (AUC) and several variables. In all, 219 patients had baseline weights in the three categories and an MPA AUC at Day 90: 50 kg or less (n = 12, all female); 60 to 80 kg (n = 136); or 100 kg or greater (n = 71). In overall comparisons by weight class, clearance increased with increased weight, resulting in an inverse relationship between dose-corrected MPA AUCs and weight at Day 90 (P < 0.0001). In patients of extreme weight, wide disparities of MPA exposure were measured despite the mean mycophenolate mofetil dose, notably in those 50 kg or less who had comparatively high dose-corrected MPA AUCs. Patients at the extremes of weight might be at risk of over- or underimmunosuppression unless doses are adjusted.

High Busulfan Exposure Is Associated with Worse Outcomes in a Daily i.v. Busulfan and Fludarabine Allogeneic Transplant Regimen

Low plasma busulfan (Bu) area under the concentration-time curve (AUC) is associated with graft failure and relapsed leukemias, and high AUC with toxicities when Bu is used orally or i.v. 4 times daily combined with cyclophosphamide in myeloablative hematopoietic stem cell transplantation (SCT) conditioning regimens. We report Bu AUC and its association with clinical outcomes in 130 patients with hematologic malignancies given a once-daily i.v. Bu (3.2 mg/kg days −5 to −2) and fludarabine (Flu, 50 mg/m 2 days −6 to –2) regimen. Total-body irradiation (TBI) 200 cGy × 2 was added for 51 patients with acute leukemias. Plasma AUC varied 3.6-fold (2184-7794 μM·min, median 4699 μM·min). Patients with an AUC >6000 μM·min had lower overall survival (OS) than those with AUC ≤6000 μM·min at 12 months (38% versus 74%) and 36 months (23% versus 68%, P < .001). This effect was apparent in patients with standard-risk and high-risk disease, and persisted when potential confounders were considered (hazard ratio 3.2, 95% confidence interval 1.7-6.3). Nonrelapse mortality (NRM) at 100 days (6% versus 19%) and progression free survival (PFS; 58% versus 16%) at 3 years were better with AUC ≤6000 μM·min. These data support a role for therapeutic dose monitoring and dose adjustment with daily i.v. busulfan.

Disposition of liposomal daunorubicin during cotreatment with cytarabine in patients with leukaemia.

To investigate the pharmacokinetics and pharmacodynamics of liposomal daunorubicin (DaunoXome) 80 or 100 mg/m(2) on days 1, 2 and 3 coadministered with standard or high-dose cytarabine to patients with poor-risk acute leukaemia. Unblinded pharmacokinetic-pharmacodynamic study. Twenty-three adult patients with acute leukaemia. Blood, bone marrow and urine samples were collected at appropriate intervals on days 1-6. Total daunorubicin and daunorubicinol concentrations in plasma, bone marrow, peripheral blood cells and urine were measured by high performance liquid chromatography. Liposomal daunorubicin exhibited a markedly different pharmacokinetic behaviour from the free drug due to a slow distribution of the liposomal moiety into the body. The ratio of area under the concentration-time curve (AUC) for metabolite to parent drug was lower for liposomal daunorubicin than for free daunorubicin, mainly due to higher concentrations of the parent drug in plasma, whereas daunorubicinol exposure was more or less comparable, if not higher. After liposomal daunorubicin at both 80 and 100 mg/m(2), total daunorubicin concentrations in leukaemic cells were at least similar to those observed for free daunorubicin, and significant accumulation was also observed in bone marrow blast cells. Nineteen of 23 patients obtained a complete remission, although 13 had P-glycoprotein-overexpressing blast cells. Grade 3-4 mucositis was found only in three patients with very high AUCs for total daunorubicin and daunorubicinol. Liposomal daunorubicin at both 80 and 100 mg/m(2) in combination with cytarabine may represent a valid treatment for high-risk acute leukaemia. Liposomal daunorubicin may be helpful in overcoming multidrug resistance, since it shows significant accumulation into tumour target cells, irrespective of P-glycoprotein expression. The tolerability profile suggests that toxicity may be related to exposure to both the parent drug and the metabolite.

Pharmacodynamic and pharmacokinetic considerations in antimicrobial selection: focus on telithromycin

The effectiveness of empirical treatment for respiratory tract infections (RTIs) with commonly available antimicrobials is threatened by the development of microbial resistance and cross-resistance between treatments. Pharmacokinetic and pharmacodynamic profiling of antimicrobial agents is increasingly being used to select the most appropriate treatment and dosage schedules for RTIs. In addition to enhancing management strategies with existing treatments, these profiles have played a key part in identifying dosage schedules for a new family of semisynthetic antimicrobials, the ketolides. The first member of this family, telithromycin, has potent activity against both common and atypical pathogens involved in RTIs and does not induce resistance to the macrolide-lincosamide-streptogramin B (MLS(B)) antimicrobials in vitro. Its pharmacokinetic profile reveals that telithromycin can be administered once daily without regard for meals, requires no dose reduction in elderly patients or those with hepatic impairment, and penetrates rapidly into respiratory tissues and fluids, a feature probably related to its ability to concentrate inside white blood cells. Pharmacodynamic studies indicate that the area under the concentration-time curve (AUC):minimum inhibitory concentration (MIC) and the peak plasma concentration (Cmax):MIC ratios are important determinants of bacteriological outcome with telithromycin. Telithromycin has a high AUC:MIC ratio compared with macrolide antimicrobials, which is expected to result in enhanced antimicrobial activity. These properties of telithromycin, combined with its good tolerability and low propensity for drug interactions, provide the basis for potent and reliable treatment of RTIs with a convenient, once-daily regimen.

MIC-based interspecies prediction of the antimicrobial effects of ciprofloxacin on bacteria of different susceptibilities in an in vitro dynamic model.

Multiple predictors of fluoroquinolone antimicrobial effects (AMEs) are not usually examined simultaneously in most studies. To compare the predictive potentials of the area under the concentration-time curve (AUC)-to-MIC ratio (AUC/MIC), the AUC above MIC (AUCeff), and the time above MIC (Teff), the kinetics of killing and regrowth of four bacterial strains exposed to monoexponentially decreasing concentrations of ciprofloxacin were studied in an in vitro dynamic model. The MICs of ciprofloxacin for clinical isolates of Staphylococcus aureus, Escherichia coli 11775 (I) and 204 (II), and Pseudomonas aeruginosa were 0.6, 0.013, 0.08, and 0.15 microg/ml, respectively. The simulated values of AUC were designed to provide similar 1,000-fold (S. aureus, E. coli I, and P. aeruginosa) or 2, 000-fold (E. coli II) ranges of the AUC/MIC. In each case except for the highest AUC/MIC ratio, the observation periods included complete regrowth in the time-kill curve studies. The AME was expressed by its intensity, IE (the area between the control growth and time-kill and regrowth curves up to the point where the viable counts of regrowing bacteria are close to the maximum values observed without drug). For most AUC ranges the IE-AUC curves were fitted by an Emax (maximal effect) model, whereas the effects observed at very high AUCs were greater than those predicted by the model. The AUCs that produced 50% of maximal AME were proportional to the MICs for the strains studied, but maximal AMEs (IEmax) and the extent of sigmoidicity (s) were not related to the MIC. Both Teff and log AUC/MIC correlated well with IE (r2 = 0.98 in both cases) in a species-independent fashion. Unlike Teff or log AUC/MIC, a specific relationship between IE and log AUCeff was inherent in each strain. Although each IE and log AUCeff plot was fitted by linear regression (r2 = 0.97 to 0.99), these plots were not superimposed and therefore are bacterial species dependent. Thus, AUC/MIC and Teff were better predictors of ciprofloxacin's AME than AUCeff. This study suggests that optimal predictors of the AME produced by a given quinolone (intraquinolone predictors) may be established by examining its AMEs against bacteria of different susceptibilities. Teff was shown previously also to be the best interquinolone predictor, but unlike AUC/MIC, it cannot be used to compare different quinolones. AUC/MIC might be the best predictor of the AME in comparisons of different quinolones.