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Winnonlin 6

Manufactured by Pharsight
Sourced in United States

WinNonlin 6.3 is a data analysis software designed for pharmacokinetic and pharmacodynamic modeling. It provides tools for non-compartmental analysis, compartmental modeling, and various other analytical methods used in the field of drug development.

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61 protocols using winnonlin 6

1

Cilostazol Pharmacokinetics Comparison

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The plasma concentration–time profiles of cilostazol for each subject were analyzed by a noncompartmental method using WinNonlin® 6.1 (Pharsight Corporation, Mountain View, CA, USA). All analyses were made using actual times of sampling. The area under the curve for a dosing interval (AUCT) was calculated by the linear trapezoidal rule. The peak plasma concentration at steady state (Cmax,ss) and the time to reach Cmax,ss (tmax,ss) were determined from the observed values. The terminal elimination rate constant (λz) was estimated by linear regression of the terminal log-linear portion of the plasma concentration–time curves. The terminal elimination half-life (t1/2β) was calculated for each subject as ln(2)/λz.
All statistical analyses were conducted using SAS® 9.3 (SAS Institute, Cary, NC, USA) and WinNonlin 6.1 (Pharsight Corporation). Demographic data and PK results were summarized using descriptive statistics. For the comparison of PK characteristics between IR and SR formulations, the Cmax,ss and AUCT of each formulation were log-transformed and tested by a mixed-model analysis of variance. The mean differences and 90% confidence intervals (CIs) were back-transformed to obtain geometric mean ratios and CIs for those ratios. For the comparison of frequency of AEs between two formulations, P-value was obtained by a Fisher’s exact test.
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2

Bioequivalence Assessment of Pharmaceutical Formulations

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Descriptive statistical analysis was performed for pharmacokinetic parameters. Quantitative indicators were summarized with descriptive statistics by arithmetic mean, standard deviation, median, minimum, maximum and geomean. Qualitative indicators were used for descriptive statistics using frequency or number and percentage of subjects. After transformation of Cmax, AUC0-t and AUC0-∞ to their logarithmic (Ln) values, analysis of variance (ANOVA) was conducted using a linear-mixed model to evaluate the effects of period, treatment, sequence, and subjects with WinNonlin® 6.4 (Pharsight Corporation, Mountain View, CA, USA). Additionally, the bioequivalence between the two formulations was assessed by two one-sided t-tests and the 90% confidence intervals (CIs) analysis. The Wilcoxon signed-rank test was performed on the nonparametric nature of Tmax. The acceptance criteria for bioequivalence were that the 90% CIs of the geometric mean ratios of the test formulation to the reference formulation were completely within 80.0–125.0% for the AUC and Cmax.
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3

Paclitaxel Pharmacokinetics Assessment

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The pharmacokinetics of paclitaxel was assessed by plotting the area under the plasma concentration-time curve (AUC) for 24 hours, commencing immediately before administration (AUC0-24). Blood samples were obtained prior to infusion and immediately before and one, three, five, and 23 hours after the end of the infusion. The plasma drug concentration was measured by high-performance liquid chromatography with tandem mass spectrometry (18 (link)). Pharmacokinetic parameters were calculated according to the two-compartment model using the nonlinear least squares method in WinNonlin 6.4 (Pharsight, Inc., Mountain View, CA). Furthermore, we calculated the dose intensity (mg/m2/wk) of paclitaxel as the cumulative dose (mg/m2) divided by the administration period.
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4

Pharmacokinetics of Targeted Therapies

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Blood samples were collected after single and multiple doses of pictilisib, paclitaxel, and letrozole for PK evaluations. Plasma concentrations of pictilisib, paclitaxel, 6α-hydroxy paclitaxel (6α-OH-paclitaxel; cytochrome P450 2C8 [CYP2C8]-formed metabolite of paclitaxel), and letrozole were determined using validated liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods, and PK parameters were estimated using noncompartmental analysis (WinNonlin 6.4; Pharsight, Mountain View, CA USA).
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5

Pharmacokinetic Parameters Analysis

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The pharmacokinetic (PK) parameters and statistical analysis were carried out by the validated statistical software WinNonlin 6.4 (Pharsight, Princeton, NJ, USA). The Cmax and time to Cmax (Tmax) were obtained directly from the experimental data. The area under the plasma concentration–time curve from administration to infinite time (AUC0−∞) was calculated using the linear trapezoidal method: trapezoidal area from time zero to the last measurable concentration (AUC0−t), extrapolated to infinite time, by addition of the area obtained from the last measurable concentration divided by the terminal elimination rate constant (β); β was estimated from the linear least-squared regression of the terminal phase of the log concentration–time profile. The apparent biological half-life (t½) was calculated as 0.693/β. The parameters are represented with mean ± SD.
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6

Adverse Event Grading and PK Analysis

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Adverse events (AEs) were graded according to the National Cancer Institute -Common Terminology Criteria for Adverse Events, version 3.0 [13] . Tumour assessments were performed at baseline and at the end of cycles 2, 4, 6 and 9, then every third cycle thereafter or as clinically indicated, and disease status was categorised per RECIST, version 1.0. Blood samples were taken for pictilisib PK evaluations during cycle 1 before and after dosing on day 1, before dosing on day 9 and at study completion. Additional samples were taken on days 2 and 3 for PK evaluations of all study drugs. Plasma concentrations of pictilisib, bevacizumab and chemotherapy drugs (including paclitaxel and its cytochrome P450 2C8 [CYP2C8]eformed metabolite, 6 a-hydroxypaclitaxel [6a-OH-paclitaxel]) were determined using validated liquid chromatography -tandem mass spectrometry methods and PK parameters were estimated using non-compartmental analysis (WinNonlin 6.4; Pharsight, Mountain View, CA).
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7

Celecoxib Pharmacokinetics and Pharmacodynamics

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The pharmacokinetic parameters of celecoxib were estimated using the non-compartmental analysis method of WinNonlin® 6.4 (Pharsight Co, Mountain View, CA, USA), based on the plasma concentrations of celecoxib and the actual sampling time. The Cmax and the time to Cmax (Tmax) were estimated directly from the plasma concentration–time profiles. The individual area under the concentration–time curve (AUC0–t) from dosing to 24 hours or the AUClast was calculated using the linear-up and log-down trapezoidal method. The elimination rate constant (λz) was estimated from the slope of the terminal log-linear phase, and the terminal elimination half-life (t1/2) was calculated as ln(2)/λz. The apparent oral clearance (CL/F) was calculated as dose/AUC.
For objective pharmacodynamic analysis, the pharmacodynamic parameters, including the Imax, Tmax and the area under the effect curve (AUEC), were estimated. Therefore, in the present study, the individual AUEC was estimated from the plasma PGE2 level–time profiles using the linear trapezoidal approximation method to compare the genotypes of COX-2 SNPs. Additionally, the maximum inhibitory effect on PGE2 production and the Tmax were estimated from the time course of PGE2 production.
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8

Emicizumab Pharmacokinetics Analysis

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Predose samples below the limit of quantification were set to 0. Postdose samples below the limit of quantification were set to 0 for calculation of means. PK parameters (eg, area under the concentration‐time curve [AUC], maximal plasma concentration [Cmax], time to maximum observed plasma concentration [tmax], apparent clearance, apparent volume of distribution, and terminal half‐life [t½]) were obtained by noncompartmental analysis methods using WinNonLin 6.4 (Pharsight Corporation, Certara USA, Princeton, New Jersey). The Cmax and tmax were read directly from the time‐concentration data. The t½ was estimated by ln(2)/λz, where λz was the terminal elimination rate constant. AUC from time 0 to the last measurable plasma concentration time point (AUClast) was estimated by the linear trapezoidal rule. AUC extrapolated to infinity (AUC0–∞) was determined as follows: AUClast + Clast/λz, where Clast was the last measurable plasma concentration. The apparent oral clearance was estimated by the ratio Dose/AUC0–∞. Data are presented as median (range) for tmax and mean (standard deviation [SD]) for all other parameters. The primary emicizumab PK parameters were Cmax and AUC0‐∞. All other PK parameters were regarded as secondary.
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9

Pharmacokinetic Modeling of Arsenic Trioxide

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Pharmacokinetic parameters for ATO were calculated using non-compartmental and compartmental models with WinNonlin 6.2.1 software (Pharsight, Mountain View CA, USA, 2011). The Maximum plasma concentration (Cmax), time to reach Cmax (Tmax), area under the plasma concentration time curve from time zero to the time of the last measurable concentration (AUC0-t) and AUC extrapolation to infinity (AUC0-∞) was calculated according to the non-compartmental method. For estimation of the absorption rate constant (ka), half-life of the absorption process (t1/2 abs) as well as the disposition and elimination parameters: apparent volume of distribution (V/F), clearance apparent (CL/F), elimination rate constant (ke), and elimination half-life (t1/2), the best model that described the individual pharmacokinetic data was fitted as an open model of one compartment with first order absorption without lag-time.
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10

Pharmacokinetic Analysis of Atorvastatin and Ezetimibe

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Pharmacokinetic parameters for ATO and EZE were calculated using non-compartmental and compartmental models with WinNonlin 6.2.1 software (Pharsight, Mountain View, CA, USA, 2011). From the individual data, it was estimated the pharmacokinetic parameters of ATO and EZE. The Maximum plasma concentration (Cmax), time to reach Cmax (Tmax), area under the plasma concentration-time curve (AUC) from time 0 to the time of the last measurable concentration (AUC0-t) and AUC extrapolation to infinity (AUC0-∞) was calculated according to the non-compartmental method. For estimation of the absorption rate constant (Ka), half-life of the absorption process (T1/2 abs) as well as the disposition and elimination parameters: apparent volume of distribution (V/F), clearance apparent (CL/F), elimination rate constant (Ke), and elimination half-life (T1/2), the best model that described the individual pharmacokinetic data was fitted as an open model of one compartment with first order absorption without lag-time.
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