Abel John H, Chakrabarty Ankush, Doyle Francis J
Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
IFAC Pap OnLine. 2017 Jul;50(1):9864-9870. doi: 10.1016/j.ifacol.2017.08.1596. Epub 2017 Oct 18.
Recent studies have identified small-molecule pharmaceuticals effecting dose-dependent changes in the mammalian circadian clock, providing a novel avenue for control. Most studies employ light for clock control, however, pharmaceuticals are advantageous for clock manipulation through reduced invasiveness. In this paper, we employ a mechanistic model to predict the phase dynamics of the mammalian circadian oscillator under the effect of the pharmaceutical under investigation. These predictions are used to inform a constrained model predictive controller (MPC) to compute appropriate dosing for clock re-entrainment. Constraints in the formulation of the MPC problem arise from variation in the phase response curves (PRCs) describing drug effects, and are in many cases non-intuitive owing to the nonlinearity of oscillator phase response effects. We demonstrate through experiments that it is imperative to tune the MPC parameters based on the drug-specific PRC for optimal phase manipulation.
最近的研究已经确定了能够影响哺乳动物生物钟发生剂量依赖性变化的小分子药物,这为生物钟调控提供了一条新途径。然而,大多数研究采用光照来控制生物钟,而药物在控制生物钟方面具有优势,因为其侵入性较低。在本文中,我们采用一个机理模型来预测在所研究药物作用下哺乳动物昼夜节律振荡器的相位动态。这些预测结果被用于指导一个约束模型预测控制器(MPC)来计算使生物钟重新同步所需的合适给药剂量。MPC问题公式中的约束来自描述药物效应的相位响应曲线(PRC)的变化,并且在许多情况下由于振荡器相位响应效应的非线性而不直观。我们通过实验证明,基于特定药物的PRC来调整MPC参数对于实现最佳相位调控至关重要。