CVGI Imed DMPK, AstraZeneca R&D Mölndal, Mölndal, Sweden.
Eur J Pharm Sci. 2011 Oct 9;44(3):250-64. doi: 10.1016/j.ejps.2011.08.005. Epub 2011 Aug 11.
In this paper we quantitatively evaluate two feedback systems with a focus on rate and extent of tolerance and rebound development. In the two feedback systems, the regulation of turnover of response is governed by one or several moderators. In the basic system, one single moderator inhibits the formation of response. This system has been applied to cortisol secretion and serotonin reuptake inhibition. The basic system has been extended to adequately describe nicotinic acid (NiAc)-induced changes in non-esterified fatty acids (NEFA). In the extended system, the feedback is described by a cascade of moderators where the first inhibits formation of response and the last stimulates loss of response. The objectives of this paper were to analyze these systems from a mathematical/analytical and quantitative point of view and to present simulations with different parameter settings and dosing regimens in order to highlight the intrinsic behaviour of these systems and to present expressions and graphs that are applicable for quantification of rate and extent of tolerance and rebound. The dynamics of the moderators (k(tol)) compared to the dynamics of the response (k(out)), was shown to be important for the behaviour of both systems. For instance, slow dynamics of the moderator compared to the response (k(tol)<<k(out)), resulted in overshoot and pronounced rebound. The extent of tolerance was studied over time at a single constant drug concentration and at steady state for different drug concentrations and was found to be largest at drug concentrations close to IC(50). An upper limit for the response could be identified and included in the quantification of extent of rebound. Especially, for the extended system, the duration of exposure was an important factor affecting size of rebound. The rate of tolerance development was addressed by quantitatively estimating the time to steady state for the two systems, in which the value of k(tol) and the length of the cascade were critical.
在本文中,我们定量评估了两个反馈系统,重点关注它们的耐受性和反弹发展的速度和程度。在这两个反馈系统中,反应的周转率调节受一个或多个调节剂控制。在基本系统中,一个单一的调节剂抑制反应的形成。该系统已应用于皮质醇分泌和 5-羟色胺再摄取抑制。基本系统已扩展到足以描述烟酸(NiAc)诱导的非酯化脂肪酸(NEFA)变化。在扩展系统中,反馈由一个调节剂级联来描述,其中第一个调节剂抑制反应的形成,最后一个调节剂刺激反应的丧失。本文的目的是从数学/分析和定量的角度分析这些系统,并呈现具有不同参数设置和剂量方案的模拟,以突出这些系统的内在行为,并呈现适用于定量耐受性和反弹的速度和程度的表达式和图形。调节剂(k(tol))的动力学与反应(k(out))的动力学相比,对两个系统的行为都很重要。例如,调节剂的动力学比反应慢(k(tol)<k(out)),会导致过冲和明显的反弹。在单一恒定药物浓度和不同药物浓度的稳态下,研究了随时间推移的耐受性程度,发现药物浓度接近 IC(50)时,耐受性程度最大。可以确定响应的上限,并将其纳入反弹程度的定量评估中。特别是对于扩展系统,暴露时间是影响反弹幅度的重要因素。通过定量估计两个系统达到稳态的时间来解决耐受性发展的速度,其中 k(tol)的值和级联的长度是关键。