Risvoll Geir B, Thorsen Kristian, Ruoff Peter, Drengstig Tormod
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway.
Centre for Organelle Research, University of Stavanger, Stavanger, Norway.
Physiol Rep. 2017 Sep;5(17). doi: 10.14814/phy2.13408.
Setpoints in physiology have been a puzzle for decades, and especially the notion of fixed or variable setpoints have received much attention. In this paper, we show how previously presented homeostatic controller motifs, extended with saturable signaling kinetics, can be described as variable setpoint controllers. The benefit of a variable setpoint controller is that an observed in the concentration of the regulated biochemical species (the controlled variable) is fully characterized, and is not considered a deviation from a fixed setpoint. The variation in this biochemical species originate from variation in the disturbances (the perturbation), and thereby in the biochemical species representing the controller (the manipulated variable). Thus, we define an which is spanned out by the combined and levels of the variations in (1) the controlled variable, (2) the manipulated variable, and (3) the perturbation. From this operational space, we investigate and it imposes constraints on the different motif parameters, in order for the motif to represent a mathematical model of the regulatory system. Further analysis of the controller's ability to compensate for disturbances reveals that a variable setpoint represents a relaxing component for the controller, in that the necessary control action is reduced compared to that of a fixed setpoint controller. Such a relaxing component might serve as an important property from an evolutionary point of view. Finally, we illustrate the principles using the renal sodium and aldosterone regulatory system, where we model the variation in plasma sodium as a function of salt intake. We show that the experimentally observed variations in plasma sodium can be interpreted as a variable setpoint regulatory system.
几十年来,生理学中的设定点一直是个谜,尤其是固定或可变设定点的概念受到了广泛关注。在本文中,我们展示了如何将先前提出的稳态控制器基序(用饱和信号动力学进行扩展)描述为可变设定点控制器。可变设定点控制器的好处在于,调节生化物质(受控变量)浓度的观测值得到了充分表征,而不被视为偏离固定设定点的偏差。这种生化物质的变化源自干扰(扰动)的变化,进而源自代表控制器的生化物质(操纵变量)的变化。因此,我们定义了一个操作空间,它由(1)受控变量、(2)操纵变量和(3)扰动的变化的组合输入和输出水平所构成。从这个操作空间出发,我们研究它对不同基序参数施加的约束,以使该基序能够代表调节系统的数学模型。对控制器补偿干扰能力的进一步分析表明,可变设定点代表了控制器的一个松弛组件,因为与固定设定点控制器相比,所需的控制作用有所降低。从进化的角度来看,这样一个松弛组件可能是一个重要特性。最后,我们以肾钠和醛固酮调节系统为例来说明这些原理,在该系统中,我们将血浆钠的变化建模为盐摄入量的函数。我们表明,实验观测到的血浆钠的变化可以解释为一个可变设定点调节系统。