Abstract

Mechanisms through which anesthetics disrupt neuronal activity are incompletely understood. In order to study anesthetic mechanisms in the intact brain, tight control over anesthetic pharmacology in a genetically and neurophysiologically accessible animal model is essential. Here, we developed a pharmacokinetic model that quantitatively describes propofol distribution into and elimination out of the brain. To develop the model, we used jugular venous catheters to infuse propofol in mice and measured propofol concentration in serial timed brain and blood samples using high performance liquid chromatography (HPLC). We then used adaptive fitting procedures to find parameters of a three compartment pharmacokinetic model such that all measurements collected in the blood and in the brain across different infusion schemes are fit by a single model. The purpose of the model was to develop target controlled infusion (TCI) capable of maintaining constant brain propofol concentration at the desired level. We validated the model for two different targeted concentrations in independent cohorts of experiments not used for model fitting. The predictions made by the model were unbiased, and the measured brain concentration was indistinguishable from the targeted concentration. We also verified that at the targeted concentration, state of anesthesia evidenced by slowing of the electroencephalogram and behavioral unresponsiveness was attained. Thus, we developed a useful tool for performing experiments necessitating use of anesthetics and for the investigation of mechanisms of action of propofol in mice.

Highlights

  • Millions of people receive general anesthesia each year [1]

  • We developed Matlab software that interfaces our model with a syringe pump and continuously adjusts infusion rate to compensate for the distribution and elimination of propofol in order to maintain brain propofol concentration constant

  • target controlled infusion (TCI) using the initial estimates of model parameters gave rise to a slowly decreasing brain propofol concentration (Fig 3C, n = 5 animals)

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Summary

Introduction

Millions of people receive general anesthesia each year [1]. Yet, the mechanisms by which anesthetics induce reversible loss of consciousness remain incompletely understood [2]. Interference with the orexinergic [7] and noradrenergic [5] signaling in the mouse brain preferentially affects emergence from anesthesia while leaving induction relatively spared These data suggest that anesthetic hysteresis is unlikely due to pharmacokinetic factors alone. This has been hypothesized on the basis of mathematical modeling of cortical networks [8,9,10] Consistent with these theoretical results, recordings of local field potentials from the cortex and thalamus of rats maintained on isoflurane revealed that, even when the anesthetic concentration is fixed, brain activity fluctuates abruptly among several quasi-stationary activity patterns [11]. These findings suggest that intrinsic neuronal dynamics complicate the understanding of anesthetic effects solely in terms of concentration-response relationships

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