4.2 Article

Sensitivity analysis on a physiologically-based pharmacokinetic and pharmacodynamic model for diisopropylfluorophosphate-induced toxicity in mice and rats

Journal

TOXICOLOGY MECHANISMS AND METHODS
Volume 19, Issue 8, Pages 486-497

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/15376510903300335

Keywords

Acetylcholinesterase; allometric scaling; diisopropylfluorophosphate; physiologically-based pharmacokinetic and pharmacodynamic model; sensitivity analysis

Categories

Funding

  1. Singapore Ministry of Defence

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A physiologically-based pharmacokinetic and pharmacodynamic (PBPK/PD) model was recently developed to study the effect of diisopropylfluorophosphate (DFP) on acetylcholinesterase (AChE) activity in mouse and rat. That model takes into account relatively complex interactions involving many parameters, some of which may be uncertain and/or highly variable, especially those characterizing AChE activity after DFP intoxication. The primary objective of this study was to identify parameters that contribute most to the variability of AChE dynamics for model optimization against data. For this purpose, the influence of the variability of the rate constants for synthesis (K-syn) and degradation (K-deg) of AChE, and regeneration (K-reg) and aging (K-age) of inhibited AChE on the variability of AChE activity in mice and rat venous blood and brain was first calculated by a global sensitivity analysis. Next, the mouse PBPK/PD model was calibrated by optimizing the values of K-syn, K-deg, K-reg and K-age. Thereafter, scale-up of the DFP-induced AChE activity was performed from mouse to rat. Validation of the rat model was performed by comparing the time course of venous blood and brain AChE activities from a Monte Carlo analysis to those obtained in vivo. Sensitivity analysis on the verified models showed that K-reg and K-syn were the most influential factors of AChE activity at shorter and longer durations, respectively, after DFP challenge. Scale-up of the AChE dynamics from mouse to rat was also successful, as evidenced by significant overlapping between the predicted 95(th) percentile confidence intervals and the experimental data.

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