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Winnonlin 5

Manufactured by Pharsight
Sourced in United States

WinNonlin 5.2 is a software application developed by Pharsight for pharmacokinetic and pharmacodynamic data analysis. The core function of WinNonlin 5.2 is to provide a comprehensive set of tools for the analysis and modeling of drug concentration and effect data.

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64 protocols using winnonlin 5

1

Apoptosis and Pharmacokinetic Analysis

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Data are presented as the mean ± standard error of the mean. The body weight data and percentage of apoptotic cells were analyzed using one-way analysis of variance (ANOVA) followed by Dunnett's post hoc test. The IC50 data were analyzed using an unpaired t-test. Statistical analyses were performed with GraphPad Prism, and P<0.05 was considered to indicate a statistically significant difference. Plasma concentration data were used to calculate the PK parameters by a noncompartmental i.v.-bolus input model (WinNonlin 5.0; Pharsight Corporation, Mountain View, CA, USA).
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2

Statistical Analysis of Experimental Data

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The results obtained were presented as the mean ± standard deviation (SD) using Microsoft Excel 2013 and WinNonLin 5.0 (Pharsight Corp., USA). The data were subjected to one-way analysis of variance (ANOVA), and group differences were determined using post hoc least significant difference (LSD) multiple comparisons' test using SPSS version 16. Results were considered statistically significant at p < 0.05.
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3

Kinetic Analysis of NOS Activity

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NOS activity was assessed based on the production of various products, by fitting the observed data to the Michaelis-Menten equation.
V=Vmax×SKm+S where V is the reaction rate, Vmax is the maximum rate, S is the concentration of the substrate, i.e., 15N4-ARG, and Km is the substrate concentration at which the activity is half-maximal. The kinetic parameters, Vmax and Km were estimated by nonlinear regression of substrate dependence.
V was estimated by the accumulated amounts of either 15N-nitrite, 15N3-CIT, or 15N3-CIT + 15N3-ARG over the incubation time of 120 min, and corrected for protein content. Individual data were fitted to the Michaelis-Menten equation using WinNonlin 5.0 (Pharsight Corporation, Mountain View, CA).
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4

Pharmacokinetic Evaluation of Formulations

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The pharmacokinetic parameters: maximum serum concentration (Cmax), time to reach maximum serum concentration (Tmax), area under the plasma concentration time curve (AUC), area under the first moment curve (AUMC), plasma half-life (T1/2), volume of distribution (Vd), clearance, and mean residence time (MRT) of the formulations administered in vivo were determined using the software WinNonLin 5.0 (Pharsight Corp., USA).
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5

Non-Compartmental Pharmacokinetic Analysis

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Pharmacokinetic parameters were determined using non-compartmental techniques with WinNonlin® 5.0 software (Pharsight Corporation, Mountain View, CA, USA). SHAM analysis (i.e., Slope, Height, Area, and Moment) [19 ] utilized plasma concentration-time data to estimate the area under the curve (AUC), terminal elimination half-life (t1/2), and the area under the first moment of the plasma concentration-time curve (AUMC). The AUC was calculated for each animal using the piecewise log trapezoidal areas. The non-compartmental parameters were calculated for each rat before averaging dose groups.
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6

Bioavailability Kinetics of CFM-4 Formulations

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The bio-availability kinetics of the CFM-4 NLF formulation, and CFM-4 free drug (FD) were conducted in rodents (Sprague Dawley Rats). Rats were fasted overnight before the start of the experiments and randomly divided into three experimental groups receiving CFM-4 FD and CFM-4 NLF at 40 mg/kg orally and CFM-4 solution (CFM-4 sol) at 5 mg/kg by intravenous route. After the drug administration, blood samples (250 μl) were withdrawn from tail veins at predetermined time points (0, 0.25, 0.5, 1, 2, 4, 6, 8, 12 and 24 h).
The blood samples were collected directly into heparinized microvet blood collection tubes and plasma was obtained by centrifugation at 10,000 rpm for 10 min and then stored at −80 °C until analysis. CFM-4 was extracted from the plasma by protein precipitation method and extracted samples were dissolved in mobile phase and samples were analyzed by HPLC. Oral bioavailability of CFM-4 FD and CFM-4 NLF along with their pharmacokinetic parameters such as area under curve (AUC), Cmax, t1/2, and t max were estimated. Pharmacokinetic parameters were analyzed using non-compartmental techniques with WinNonlin® 5.0 software (Pharsight Corporation, Mountain View, CA, USA).
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7

Pharmacokinetics of DIM-P and Doc in Mice

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Pharmacokinetics of DIM-P and Doc in BALB/c mice were determined following I.V. administration of NDi, NDo, NDDs & ENDDs (DIM-P equivalent to 5.0 mg/kg, Doc equivalent to 10.0 mg/kg). Animals were randomly distributed into experimental groups (n = 6) and fasted overnight prior to experiment. Blood samples (250 µL) were collected by heart puncture at the following time points: 0, 0.017, 0.25, 0.5, 0.75, 1, 3, 6, 8, 12 and 24 h. Samples were processed and extracted drug was analyzed by HPLC analysis (36 (link)). Briefly, DIM-P was separated from plasma by protein precipitation using acetonitrile and samples were centrifuged for 15 min at 10,000 g. Sample was run on a mobile phase consisting of acetonitrile and water (90:10% v/v) using a Waters Symmetry® C18 guard column (5 µm, 3.9×20 mm) and a Waters Symmetry® C18 column (5 µm, 4.6 × 250 mm) at a flow rate of 1.0 mL/min and DIM-P was monitored at 242 nm. Pharmacokinetic parameters were calculated using non-compartmental techniques with WinNonlin® 5.0 software (Pharsight Corporation, Mountain View, CA, USA).
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8

Tulathromycin Pharmacokinetics in Biological Fluids

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Pharmacokinetic parameters were calculated for tulathromycin in serum, transudate, and exudate using WinNonlin 5.2.1 software (Pharsight Corporation, Mountain View, CA, United States). The concentration–time data from serum, transudate and exudate samples were submitted to non-compartmental analysis using the statistical moment approach. The linear trapezoidal rule was used to calculate the area under the concentration–time curve (AUC). Elimination half-life (t1/2β) was estimated by log–linear regression analysis. Pharmacokinetic parameters was expressed as arithmetic mean ± standard deviation (SD).
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9

In Vitro Silybin Release Kinetics

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The cumulative release (%) of the drug at each time point was calculated according to the following formula:
where Cn is the concentration of silybin in the sample taken at time n, V is the total volume of the release medium, Vi is the sampling volume at time i, Ci is the concentration of the sample taken at time i, W is the weight of the solid dispersions, and DL is the drug loaded in the solid dispersions.
Silybin concentration–time data were analyzed using WinNonlin 5.2.1 software (Pharsight, Mountain View, CA, USA) using a non-compartment model with best fitting. The pharmacokinetic parameters are presented as mean ± SD and were compared for statistical significance using independent Student t-tests. A value of p < 0.05 was considered statistically significant. All statistical analyses were performed using SPSS 22.0 statistical software (IBM, Chicago, IL, USA).
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10

Pharmacokinetic-Pharmacodynamic Modeling of Tulathromycin

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Pharmacokinetic parameters of tulathromycin in tissue cage fluids were obtained using a two-compartment model using WinNonlin 5.2.1 software (Pharsight, Mountain View, CA, USA). The relationship between PK/PD parameters [the ratio of peak concentration divided by the MIC (Cmax/MIC) and the ratio of the area under the concentration–time curve divided by the MIC (AUC0−24h/MIC), %T > MIC)] and the in vivo antibacterial effect of tulathromycin were analyzed using the sigmoid Emax model provided by WinNonlin 5.2.1 software. The equation of this model was as follows:
where E is the antibacterial effect measured as the change in log10CFU/ml in tissue cage fluids after 24-h incubation compared with the initial log10CFU/ml; E0 represents the change of bacterial load (log10CFU/ml) in the control group; Emax is maximum antibacterial effect for 24 h after drug administration; Ce stands for the PK/PD index magnitude, and N is the Hill coefficient that describes the sigmoid shape; EC50 represents corresponding PK/PD parameter value when the drug achieves one-half of the maximum antibacterial effect. According to this model, the correlation between the antibacterial effect and PK/PD parameters can be reflected through the R2 value.
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