Cherubini Christian, Filippi Simonetta, Gizzi Alessio, Loppini Alessandro
Nonlinear Physics and Mathematical Modeling Laboratory, University Campus Bio-Medico of Rome, I-00128, Rome, Italy.
International Center for Relativistic Astrophysics Network-I.C.R.A.Net, University Campus Bio-Medico of Rome, I-00128, Rome, Italy.
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Oct;92(4):042702. doi: 10.1103/PhysRevE.92.042702. Epub 2015 Oct 5.
The activity of pancreatic β cells can be described by biological networks of coupled nonlinear oscillators that, via electrochemical synchronization, release insulin in response to augmented glucose levels. In this work, we analyze the emergent behavior of regular and percolated β-cells clusters through a stochastic mathematical model where "functional" networks arise. We show that the emergence and robustness of the synchronized dynamics depend both on intrinsic and extrinsic parameters. In particular, cellular noise level, glucose concentration, network spatial architecture, and cell-to-cell coupling strength are the key factors for the generation of a rhythmic and robust activity. Their role in the functional network topology associated with β-cells clusters is analyzed and discussed.
胰腺β细胞的活动可以通过耦合非线性振荡器的生物网络来描述，该网络通过电化学同步，在血糖水平升高时释放胰岛素。在这项工作中，我们通过一个随机数学模型分析规则和渗流β细胞簇的涌现行为，在该模型中出现了“功能”网络。我们表明，同步动力学的出现和稳健性取决于内在和外在参数。特别是，细胞噪声水平、葡萄糖浓度、网络空间结构和细胞间耦合强度是产生节律性和稳健活动的关键因素。分析并讨论了它们在与β细胞簇相关的功能网络拓扑中的作用。
