A comparative pharmacodynamic study of IY-81149 versus omeprazole in patients with gastroesophageal reflux disease.

OBJECTIVE: To evaluate and compare the pharmacodynamic effects of IY-81149 and omeprazole on gastric pH in patients with gastroesophageal reflux disease. METHODS: Sixty male and female volunteers with gastroesophageal reflux disease were enrolled in a double-blind, two-way, crossover, dose-ranging study. Subjects were randomized into three groups, with each group comparing the effect of one of three doses of IY-81149 (5, 10, or 20 mg) with 20 mg omeprazole. IY-81149 and omeprazole were administered once daily for 5 days. Continuous 24-hour pH measurements were performed before the first dose (baseline) and after the fifth dose in both periods. Gastric acid suppression was evaluated on the basis of the following parameters: AUC(0-24), median pH in a 24-hour interval (pHmedian), and the percent time in a 24-hour interval in which the gastric pH was greater than 4 (tpH > 4). The truncated AUC parameters AUC(0-8), AUC(8-16), and AUC(16-24) were also calculated. The effects of IY-81149 and omeprazole on gastric pH were compared by use of analyses of covariance. The dose-response relationship for IY-81149 was also evaluated. RESULTS: There were no statistically significant differences between 5 mg IY-81149 and 20 mg omeprazole in terms of AUC(0-24), pHmedian, tpH, 4, AUC(0-8), and AUC(8-16). IY-81149, at 10 mg, produced a significantly greater gastric acid suppression than omeprazole on the basis of the values of AUC(0-24), pHmedian, tpH > 4, AUC(8-16), and AUC(16-24). Administration of 20 mg IY-81149 produced a significantly greater gastric acid suppression on the basis of all parameters. All doses of IY-81149 were more effective than omeprazole during 16 to 24 hours after the dose was administered. CONCLUSIONS: Administration of 10 and 20 mg IY-81149 produced a statistically significantly greater and prolonged suppression of gastric pH than 20 mg omeprazole.

NONMEM population pharmacokinetic studies of cytosine arabinoside after high-dose and after loading bolus followed by continuous infusion of the drug in pediatric patients with leukemias.

We examined the population pharmacokinetics (PPK) of cytosine arabinoside (ara-C) after high-dose ara-C (HDara-C) (3 g/m2 every 12 h) and after a loading bolus (LB) plus continuous infusion (C1) of ara-C for 72 h in 52 pediatric patients with leukemias, enrolled in four clinical trials. The PPK analyses of the drug were performed using the NONMEM program. The patients' ages ranged from 2 months to 19 years. The ara-C data were analyzed using a two-compartment open model. Interindividual variability was described by the constant coefficient of variation (CCV) model, while the intraindividual variability was described by a combined additive and CCV error model. The covariates age (AGE) and surface area (SA) were tested to examine their influence on the estimation of the ara-C PPK parameters. In the absence of model covariates, the data fit was characterized by considerable bias, as indicated by the plot of measured vs predicted ara-C concentrations. The fit of the data was greatly improved when the parameters total body clearance (CL), intercompartmental clearance (Q), and volumes of distribution of central (Vd1) and peripheral (Vd2) compartments were expressed as linear functions of the covariate product, AGE x SA. The final parameter estimates were: CL = 2.59 x AGE x SA 1/h, Q = 2.01 x AGE x SA 1/h, Vd1 = 0.48 x AGE x SA1, and Vd2 = 38.1 x AGE x SA1. The coefficients of variation of CL, Q, Vd1 and Vd2 were 83.79%, 12.08%, 40.0%, and 52.54%, respectively, indicating substantial interindividual variability. In separate NONMEM analyses, the PK of ara-C and its metabolite uracil arabinoside (ara-U) were modeled simultaneously in order to investigate whether the dependence of ara-C on patient age was due to increased deamination of ara-C to ara-U. The PK of ara-C were described by the two-compartment open model while the PK of ara-U were simultaneously described by the one-compartment open model. The conversion of ara-C to ara-U was modeled as a first-order kinetic process due to the relatively low concentrations of ara-C in plasma. These PPK analyses indicated that elimination of ara-C from the central compartment occurs primarily by its metabolic conversion to ara-U and that the rate of conversion of ara-C to ara-U increases with increasing patient age, which explains the higher ratios of ara-U to ara-C and, hence, the increased ara-C clearance observed in older children as compared to infants. We conclude that the NONMEM PPK methodology allowed the simultaneous analyses of data from different doses and dose regimens and explained phenomena that prior standard two-stage analyses could not.

Population pharmacokinetics of pemetrexed disodium (ALIMTA) in patients with cancer.

PURPOSE: To evaluate the population pharmacokinetics of pemetrexed disodium in cancer patients enrolled in four different open-label, multicenter, nonrandomized phase II studies. METHODS: Pemetrexed disodium was administered as a 10-min intravenous infusion (600 mg/m2) every 21 days. A total of four blood samples were to be collected each cycle per patient (n= 103 patients) during cycles 1 and 3. Plasma concentration-time data were analyzed by nonlinear mixed-effect modeling using NONMEM to estimate pemetrexed disodium pharmacokinetic parameters (mean, and between- and within-patient variability) as well as relationships between the pharmacokinetic parameters and various patient-specific factors (demographic and physiologic data). RESULTS/CONCLUSIONS: The pharmacokinetics of pemetrexed disodium were best characterized by a two-compartment model with initial distribution and terminal elimination half-lives of 0.63 h and 2.73 h, respectively. The typical value of systemic clearance (CL) in liters per hour included a relationship to creatinine clearance (CrCL) with a slope of 0.0292. Typical values of central volume (V(c)), distributional CL (Q), and peripheral volume (V(p)) were 11.3 1, 3.21 l/h, and 5.20 l, respectively. Between-patient variability was 19.6%, 15.6%, and 21.7% for CL, V(c), and V(p), respectively. A combined additive/proportional error model was used to describe residual variability, with a coefficient of variation of 23.7% for the proportional component and a standard deviation of 0.0410 microg/ml for the additive component. Significant patient-specific factors on CL were calculated CrCL, body weight, and to a lesser extent alanine transaminase and folate deficiency. Gender and body weight were significant factors on V(c) while both body surface area and albumin were significant factors on V(p). In conclusion, population pharmacokinetic modeling revealed relationships between pharmacokinetic parameters and various patient specific factors.

The synergism of 6-mercaptopurine plus cytosine arabinoside followed by PEG-asparaginase in human leukemia cell lines (CCRF/CEM/0 and (CCRF/CEM/ara-C/7A) is due to increased cellular apoptosis.

BACKGROUND: The only effective drug against ALL that inhibits protein synthesis is Asparaginase (ASNase). The drug depletes asparagine (Asn) in serum and cells and since the leukemic T-cells (thymic origin cells) lack asparagine synthetase, the amino acid starvation leads to apoptosis. When PEG-ASNase is combined with antimetabolite drugs such as ara-C, or combinations of 6-MP followed by ara-C, it augments the cytotoxic effect synergistically against human T-leukemia cells. MATERIALS AND METHODS: Synergism studies with two- or three-drug combination regimens in the human leukemia cell lines, CEM/0 and CEM/ara-C/7A have been investigated along with its effect in inducing apoptosis. RESULTS: The IC50 (approximately Dm) values of ara-C were 0.032 microM and 0.11 microM, and that of PEG-ASNase were 0.002 IU/ml and 1.52 IU/ml against CEM/0 and CEM/ara-C/7A cells, respectively. Thus, CEM/ara-C/7A cell line that is partially resistant to ara-C exhibited 681-fold cross-resistant to PEG-ASNase as compared to CEM/0. The concurrent drug exposure of ara-C and PEG-ASNase for 48 hours resulted in IC50 values of 0.56 nM for ara-C and 0.56 mIU/ml for PEG-ASNase respectively, in CEM/0 cells which represents a 57.4-fold synergism compared to ara-C alone. In the CEM/ara-C/7A cell line, the co-incubation with these two drugs resulted in IC50 value of 0.015 microM for ara-C and 0.015 IU/ml for PEG-ASNase respectively, or a 7.25-fold synergism as compared to ara-C and 101.1-fold synergism in comparison with PEG-ASNase alone. Pre-clinical studies involving three-drug combination consisting of 6-MP, ara-C and PEG-ASNase in a sequence-specific manner showed a 15.6-fold synergism against CEM/0 cell line over the two-drug combination of 6-MP followed by ara-C or approximately 160-fold syneryism over ara-C alone. CONCLUSION: The two-drug combination of ara-C and PEG-ASNase or the three-drug combination of 6-MP, ara-C and PEG-ASNase in the ara-C sensitive and resistant cell line showed significant drug synergism and CEM/ara-C/7A cells exhibited collateral sensitivity to PEG-ASNase. The three-drug combination also induced dose-dependent apoptotic DNA fragmentation which was higher than the two-drug combination of 6-MP and ara-C. We also conclude that the sequence specific use of PEG-ASNase in combination with the nucleoside analog drugs may benefit leukemia patients in early relapse.

Pharmacodynamic studies (PD) of didanosine (ddI) alone and in combination with azidothymidine (AZT) in human T-cells; a stochastic biochemical approach to antiretroviral nucleoside drug combination in inhibiting HIV-reverse transcriptase (RT).

Didanosine (ddI) is used in the treatment of HIV-1 infection alone and in combination with azidothymidine (AZT). When combined with AZT, patients exhibit improved patterns of surrogate markers after sequential combination regimens of ddI and AZT compared to either drug monotherapy. We have investigated the biochemical mechanism(s) of this synergistic drug combination in human PBMC cells and in human T-cell lines sensitive and resistant to AZT due to lack of thymidine kinase (TK). DdI is preferentially activated to its triphosphate anabolite, ddATP, at 3:1 ratio in human T-lymphocytes compared to monocytes from the same individual. There are no apparent differences in the intracellular concentrations of ddATP in Jurkat/0 and Jurkat/AZT-10, an AZT resistant human T-cell line, when ddI is administered alone or in combination with AZT, hence there appears to be a case of collateral sensitivity. Intracellular increases of AZTTP concentrations in patient's PBMC cells have been determined clinically after AZT alone and in a combination regimen with ddI. A stochastic biochemical model has been developed that estimates the velocity of HIV-RT under uninhibited and inhibited conditions by the active anabolites, AZTTP and ddATP. This model provides a rational explanation for the greater inhibition of HIV-RT in the presence of both inhibitors, AZTTP and ddATP, as compared to the presence of either anabolite triphosphate alone. Expanding this model to describe the inhibition of HIV-RT in the presence of three competitive inhibitors, AZTTP, ddATP and 3TCTP demonstrated that the presence of these HIV-RT inhibitors resulted in an even greater inhibition of this viral enzyme necessary for HIV integration and replication. Hence, a more effective inhibition of HIV-RT enzyme is achieved by the combination of the three drugs, AZT, ddl and 3TC. In an effort to verify this model with experimental data the kinetics of HIV-RT were studied in the absence and after inhibition by AZTTP or ddATP alone, both AZTTP + ddATP or AZTTP + ddATP + 3TCTP. Treatment of HIV-RT with high concentrations of these triphosphate inhibitors, as high as 3Kis, inhibited this enzyme to greater than 90% of untreated control. However, a small percentage of residual HIV-RT, 6%, was uninhibited even after exposure to 3Ki concentrations of each inhibitor. These studies strongly suggested that: 1) AZT plus ddI or AZT plus ddI plus 3TC are synergistic at the active anabolite level against HIV-RT; 2) the combination of the three nucleoside analog drugs (AZT, ddI 3TC) is needed for more effective inhibition of HIV-RT; 3) that the combination of the triphosphates at concentrations much greater than those pharnacologically achieved in T-Cells or PBMC under treatment conditions did not inhibit completely HIV-RT. Hence, the three nucleoside HIV-RT inhibitors must be combined with other classes of antiviral drugs or T-cell specific inhibitor drugs.