The bioequivalence of a new allopurinol tablet formulation in comparison to a reference formulation]

Recent studies have shown that there are distinct genetic pathways leading to the most malignant astrocytic neoplasm, the glioblastoma. Primary (de novo) glioblastomas are characterized by amplification/overexpression of the EGF receptor (EGFR) and, less frequently, of the MDM2 gene. Another pathway, operative in the progression of low-grade or anaplastic astrocytomas to secondary glioblastomas, is characterized by the frequent occurrence of p53 mutations. In this study, we assessed p53 mutations and EGFR expression in the giant cell glioblastoma. This rare variant is characterized by unusually large, multinucleated giant cells, but tends to be more confined and has been reported to carry a somewhat more favorable prognosis. We analyzed biopsies from 16 patients (mean age at clinical manifestation, 40 years). DNA sequencing revealed that 12 of 16 (75%) giant cell glioblastomas contained a p53 mutation. In 7 patients with two or more surgical interventions, the p53 mutation was already detected in the first biopsy. Focal EGFR overexpression, including multinucleated giant cells, was observed immunohistochemically in 9 of 16 (56%) tumors. However, most tumor areas lacked immunoreactivity, indicating that EGFR overexpression does not play a significant role in the evolution of this glioblastoma variant. These results suggest that giant cell glioblastomas develop de novo with a short preoperative history (mean, 47 +/- 40 days), but contain genetic alterations similar to those observed in secondary glioblastomas.     

Pharmaceutical granulation and tablet formulation using neural networks

Current-day pharmaceutical formulation may be trial and error in nature due to the absence of a clear relationship between the formulation characteristics (output variables) and the material and process variables (input variables). Neural networks are networks of adaptable nodes, which through a process of learning from task examples, store experiential knowledge and make it available for prediction. Prediction of a model granulation and tablet system characteristics from the knowledge of material and process variables utilizing neural networks is the basis of this presentation. The formulation design contained the following variables: granulation equipment, diluent, method of binder addition, and the binder concentration. The material, process, granulation evaluation, and tablet evaluation data of the formulations were used as the data set for training and testing of the neural network models. A comparison of the neural network prediction performance with that of regression models was also done. Both the granulation model and the tablet model converged fairly rapidly in the training step. In the testing step, the predictions for all granulation model variables (geometric mean particle size, flow value, bulk density, and tap density) were satisfactory. In the tablet model, the predictions for disintegration and thickness were also satisfactory. The predictions for hardness and friability were less than satisfactory. Two situations where the neural network may not perform adequately are discussed. The neural network prediction is better or comparable for all the predicted variables in this study compared to regression methods. The results clearly show the applicability of neural networks to formulation modeling.     

The bioequivalence of a new amitriptyline tablet formulation in comparison with a reference preparation

An investigation of the bioequivalence of a new tablet formulation (amitriptylin 25 von ct) with 28.3 mg amitriptyline hydrochloride (CAS 549-18-8) was performed in a two-way cross-over study with 18 subjects. The relative bioavailability with respect to a reference preparation for AUC related to amitriptyline (CAS 50-48-6) was 99.3% and for Cmax 100.4%. A positive decision for bioequivalence derived from the usual confidence intervals for both parameters related to amitriptyline and the metabolite nortriptyline (CAS 72-69-5), respectively tmax showed no difference. The new formulation was bioequivalent to the reference.     

Study of the bioequivalence of a new isosorbide dinitrate tablet formulation compared with the standard preparation

Army Chemical Corps personnel who served in Vietnam were among those service personnel with the greatest potential for exposure to herbicides. An earlier evaluation of the mortality experience of 894 Army Chemical Corps Vietnam veterans found a statistically significant excess risk of dying from digestive disease, primarily due to cirrhosis of the liver, and from motor vehicle accidents. That study was expanded to include 2,872 Vietnam veterans who served with the Army Chemical Corps and a comparison cohort of 2,737 veterans who never served in Southeast Asia but who did serve in the same occupational category. The results of the analysis comparing the Vietnam cohort to the non-Vietnam cohort support the earlier finding of a significant excess of deaths from digestive diseases (adjusted relative risk (RR) = 3.88, 95% C.I. = 1.12-13.45) primarily due to liver cirrhosis. Non-significant elevated relative risks were observed for all cancers combined, digestive and respiratory systems cancers, skin cancer, lymphopoietic cancers, and respiratory system diseases. Compared to the mortality rates in the general population, the non-Vietnam Army Chemical Corps veterans had a statistically significant deficit in mortality from all causes combined, which is consistent with a 'healthy selection bias' seen among military populations (SMR = 0.79, 95% C.I. = 0.66-0.94). For the Vietnam veterans, patterns of elevated but nonsignificant SMRs persisted for diseases of the digestive and respiratory systems and for selected cancer sites.     

High performance liquid chromatographic method for the determination of lobenzarit disodium in a sustained release tablet formulation

A rapid and simple high performance liquid chromatographic method is described and validated for the determination of lobenzarit disodium (CAS 64808-48-6) in a sustained release tablet formulation. The calibration graph was linear over the range 20-105 micrograms/ml. The sensitivity (discriminator capacity) was 2.079 micrograms/ml. The coefficient of variations for repeatability and reproducibility were less than 1.60% and 1.30%, respectively. The accuracy of the method did not depend on lobenzarit concentration in tablets. The mean recovery was found to be 100.62%. The method was selective, even when degradation products were present.     

Bioequivalence of a new tablet formulation of sotalol hydrochloride in comparison to a standard preparations

Bioequivalence of a New Sotalol Hydrochloride Tablet Formulation Compared with a Standard Preparation An investigation on the bioavailability of a new tablet with 80 mg sotalol hydrochloride (Rentibloc mite, CAS 959-24-0) was performed in a two-way cross-over study with 16 persons. The relative bioavailability with respect to a reference preparation for AUC0-infinity was 101.9% and for Cmax 104.5%. A positive decision for bioequivalence derived from the usual confidence intervals for both parameters. The difference in tmax showed no clinical relevance. The new formulation is bioequivalent to the reference.     

Development and internal validation of an in vitro-in vivo correlation for a hydrophilic metoprolol tartrate extended release tablet formulation

PURPOSE: To develop and validate internally an in vitro-in vivo correlation (IVIVC) for a hydrophilic matrix extended release metoprolol tablet. METHODS: In vitro dissolution of the metoprolol tablets was examined using the following methods: Apparatus II, pH 1.2 & 6.8 at 50 rpm and Apparatus I, pH 6.8, at 100 and 150 rpm. Seven healthy subjects received three metoprolol formulations (100 mg): slow, moderate, fast releasing and an oral solution (50 mg). Serial blood samples were collected over 48 hours and analyzed by a validated HPLC assay using fluorescence detection. The f2 metric (similarity factor) was used to analyze the dissolution data. Correlation models were developed using pooled fraction dissolved (FRD) and fraction absorbed (FRA) data from various combinations of the formulations. Predicted metoprolol concentrations were obtained by convolution of the in vivo dissolution rates. Prediction errors were estimated for Cmax and AUC to determine the validity of the correlation. RESULTS: Apparatus I operated at 150 rpm, and pH of 6.8 was found to be the most discriminating dissolution method. There was a significant linear relationship between FRD and FRA when using either two or three of the formulations. An average percent prediction error for Cmax and AUC for all formulations of less than 10% was found for all IVIVC models. CONCLUSIONS: The relatively low prediction errors for Cmax and AUC observed strongly suggest that the metoprolol IVIVC models are valid. The average percent prediction error of less than 10% indicates that the correlation is predictive and allows the associated dissolution data to be used as a surrogate for bioavailability studies.     

Modeling effects on the questioning strategies of the elderly.

Conducted an experiment with 42 70-90 yr old Ss which showed that modeling procedures rapidly increased the use of constraint-seeking questions in a guessing task and reduced the number of questions required to reach a correct answer. The changes took place easily, indicating that an intact and efficient questioning strategy is readily available as part of the problem-solving equipment of the elderly. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Modeling surface effects on hydrogen permeation in metals

A new mathematical model for analyzing hydrogen permeation in solids, in which surface effects and traps influence hydrogen transport, is presented and solved. The new model combines the McNabb and Foster equations for diffusion with concomitant trapping^[1] and a surface-limited mass-transfer boundary condition. An important result of the new model is the introduction of a new variable,h _m, which is defined as the surface-limited mass-transfer coefficient. Theh _m coefficient can account for all possible surface effects and may be experimentally evaluated.     

Refining the level for anticipated hepatotoxicity in acetaminophen poisoning

Treatment of an acetaminophen overdose with N-acetyl cysteine usually is based on the position of the 4-h acetaminophen (APAP) level on the Rumack-Matthew nomogram; however, there is disagreement on the level at which clinically relevant hepatotoxicity occurs. A retrospective review of all acute adult formulation APAP exposures reported to our poison center between 1986 and 1993 was performed and cases corresponding to the "possible risk or toxicity" range on the nomogram were identified. Our current poison center protocol for APAP poisoning does not recommend treatment with N-acetylcysteine (NAC) in low-risk patients if the 4-h serum APAP level or the extrapolated equivalent falls within the possible toxicity range on the nomogram. Seventeen cases met the inclusion criteria for the study and received no NAC; six additional patients met inclusion criteria but received one or two doses of NAC before therapy was discontinued. No patients in either group demonstrated clinical evidence of hepatotoxicity. This pilot study suggests that patients with no risk factors and APAP levels in the "possible risk" range may not require NAC therapy.     

Perioperative pharmacodynamics of acetaminophen analgesia in children

The nitrogenase iron (Fe) protein binds two molecules of MgATP or MgADP, which results in protein conformational changes that are important for subsequent steps of the nitrogenase reaction mechanism. In the present work, isothermal titration calorimetry has been used to deconvolute the apparent binding constants (K'a1 and K'a2) and the thermodynamic terms (delta H' degree and delta S' degree) for each of the two binding events of MgATP or MgADP to either the reduced or oxidized states of the Fe protein from Azotobacter vinelandii. The Fe protein was found to bind two nucleotides with positive cooperativity and the oxidation state of the [4Fe-4S] cluster of the Fe protein was found to influence the affinity for binding nucleotides, with the oxidized ([4Fe-4S]2+) state having up to a 15-fold higher affinity for nucleotides when compared to the reduced ([4Fe-4S]1+) state. The first nucleotide binding reaction was found to be driven by a large favorable entropy change (delta S' degree = 10-21 cal mol-1 K-1), with a less favorable or unfavorable enthalpy change (delta H' degree = +1.5 to -3.3 kcal mol-1). In contrast, the second nucleotide binding reaction was found to be driven by a favorable change in enthalpy (delta H' degree = -3.1 to -13.0 kcal mol-1), with generally less favorable entropy changes. A plot of the associated enthalpy (-delta H' degree) and entropy terms (-T delta S' degree) for each nucleotide and protein binding reaction revealed a linear relationship with a slope of 1.12, consistent with strong enthalpy-entropy compensation. These results indicate that the binding of the first nucleotide to the nitrogenase Fe protein results in structural changes accompanied by the reorganization of bound water molecules, whereas the second nucleotide binding reaction appears to result in much smaller structural changes and is probably largely driven by bonding interactions. Evidence is presented that the total free energy change (delta G' degree) derived from the binding of two nucleotides to the Fe protein accounts for the total change in the midpoint potential of the [4Fe-4S] cluster.     

Hardness anisotropy of acetaminophen crystals

The anisotropy of acetaminophen hardness was demonstrated using both Vickers and Knoop indentation hardness measurements. Based on a model of Knoop hardness anisotropy proposed by Brookes et al. (1), it was concluded that plastic flow in acetaminophen crystals occurs primarily as a result of slip in the (010)<001> system. This conclusion was corroborated with the results of the Vickers indentation tests. The apparent brittleness of acetaminophen was rationalized because only one slip system appeared to be operative. Under these conditions generalized plastic flow cannot occur, since this requires the operation of at least five independent slip systems (2). The high stress concentrations that result from flow lead to fracture. Therefore acetaminophen is more precisely classified as being semiductile. When a material deforms plastically as a result of slip in only one slip system, considerable crystal realignment can occur during compaction. This in turn can facilitate capping during decompression and ejection, since the cleavage plane, (010), would become aligned with the direction of highest tensile stress.     

Modeling the effects of hypoglycemia on a two-choice task in adult humans.

Objective: Previous research has demonstrated that hypoglycemia causes reaction times to be slower and more variable. Reaction time tests, however, use multiple cognitive and noncognitive processes. This study is the first to use a validated sequential sampling model (diffusion model) applied to results obtained from a simple 2-choice task in adult humans to assess the effects of hypoglycemia on the basic parameters of decision making. Method: Fourteen adult volunteers were tested on a numerosity discrimination task with and without reduced blood glucose concentrations. The results were analyzed with a model that dissects the components of processing that underlie decisions: the quality of the information on which a decision is based (drift rate), the critical amount of evidence that must be accumulated before a decision is made (boundary separation), and the time taken by nondecision processes. Results: Hypoglycemia resulted in a reduction of mean drift rate from 0.290 to 0.211, t(13) = 4.10, p     

Modeling two-state disease processes with random effects

Many chronic medical conditions are manifested by alternating sojourns in symptom-free and symptomatic states. In many cases, in addition to their relapsing and remitting nature, these conditions lead to worsening disease patterns over time and may exhibit seasonal trends. We develop a mixed-effect two-state model for such disease processes in which covariate effects are modeled multiplicatively on transition intensities. The transition intensities, in turn, are functions of three time scales: the semi-Markov scale involving the backward recurrence time for the cyclical component, the Markov scale for the time trend component, and a seasonal time scale. Multiplicative bivariate log-normal random effects are introduced to accommodate heterogeneity in disease activity between subjects and to admit a possible negative correlation between the transition intensities. Maximum likelihood estimation is carried out using Gauss-Hermite integration and a standard Newton-Raphson procedure. Tests of homogeneity are presented based on score statistics. An application of the methodology to data from a multi-center clinical trial of chronic bronchitis is provided for illustrative purposes.     

Modeling the effects of the NMDA receptor antagonist MK-801 on timing in rats.

The NMDA receptor antagonist MK-801 produces different effects on timing tasks. In particular, MK-801 produces an underestimation of duration when animals are tested with the differential reinforcement of low rate of responding (DRL) schedule and an overestimation of duration when animals are tested with the peak-interval (PI) procedure. The goal of this study was to develop a model-based explanation for this discrepancy. Two computer simulations were conducted via an implementation of scalar expectancy theory (SET). In Simulation 1, SET was used to provide a quantitative account of PI timing data. Simulation 2 used parameter estimates from Simulation 1 to predict effects of MK-801 on the DRL task. DRL predictions provided a close match to previous empirical data. Results of the simulations suggest that differences in the literature are likely due to inherent differences between PI and DRL tasks, rather than fundamental differences in timing. Overall, the role of NMDA receptors in timing appears to be multifaceted, impacting perception, memory, and decision processes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)