Nonlinear Mixed-Effects Modeling to Characterize the Pharmacokinetics of a Novel Mithramycin Analogue for Ewing Sarcoma in Mice

利用非线性混合效应模型表征新型米索霉素类似物治疗小鼠尤文氏肉瘤的药代动力学

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Abstract

PURPOSE: To develop a pharmacokinetic model for a novel mithramycin analogue, MTMSA-Trp, in mice and characterize dose-dependent disposition to support future pharmacokinetic-pharmacodynamic (PK/PD) and exposure-efficacy analyses. METHODS: Non-linear mixed-effects modeling was used to develop a population pharmacokinetic (popPK) model in MonolixSuite 2024R1 using 121 plasma concentrations from 70 female athymic nude mice after single IV bolus doses of 0.3, 1, 3, 5, and 10 mg/kg. Model selection was guided by the objective function value (OFV), parameter precision, and diagnostic plots. The final model was evaluated using bootstrap resampling (1000 replicates) and visual predictive checks (VPC; 1000 simulated datasets). RESULTS: A one-compartment model with first-order elimination and an empirical power relationship between dose and clearance best described the data. Including dose as a covariate in the clearance model significantly improved model fit relative to the linear base model (ΔOFV = - 26.19). Typical clearance and volume of distribution were 39.18 mL/h/kg (at 3 mg/kg) and 53.06 mL/kg, respectively, and the dose-clearance exponent was β = -0.30, indicating decreasing clearance with increasing dose. Fixed-effect parameters were estimated with high precision (RSE ≤ 11%). Shrinkage was high for clearance (81%) and moderate for volume of distribution (39.1%). Bootstrap and VPC results supported model robustness and predictive performance. CONCLUSION: A robust popPK model describing dose-dependent MTMSA-Trp disposition in mice was developed and is suitable for simulation to support subsequent PK/PD and exposure-efficacy analyses.

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