Hayashi Tatsuya, Tokihiro Tetsuji, Kurihara Hiroki, Yasuda Kenji
Graduate School of Mathematical Sciences, the University of Tokyo, 3-8-1 Komaba, Tokyo, 153-8941, Japan.
CREST, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama, 332-0012, Japan.
Sci Rep. 2017 Nov 13;7(1):15450. doi: 10.1038/s41598-017-15727-5.
The community effect of cardiomyocytes was investigated in silico by the change in number and features of cells, as well as configurations of networks. The theoretical model was based on experimental data and accurately reproduced recently published experimental results regarding coupled cultured cardiomyocytes. We showed that the synchronised beating of two coupled cells was tuned not to the cell with a faster beating rate, but to the cell with a more stable rhythm. In a network of cardiomyocytes, a cell with low fluctuation, but not a hight frequency, became a pacemaker and stabilised the beating rhythm. Fluctuation in beating rapidly decreased with an increase in the number of cells (N), almost irrespective of the configuration of the network, and a cell comes to have natural and stable beating rhythms, even for N of approximately 10. The universality of this community effect lies in the fluctuation-dissipation theorem in statistical mechanics.
通过细胞数量和特征的变化以及网络结构，在计算机上研究了心肌细胞的群体效应。该理论模型基于实验数据，准确地再现了最近发表的关于耦合培养心肌细胞的实验结果。我们发现，两个耦合细胞的同步搏动并非调整为搏动速率更快的细胞，而是调整为节律更稳定的细胞。在心肌细胞网络中，波动低但频率不高的细胞成为起搏器并稳定搏动节律。搏动的波动随着细胞数量（N）的增加而迅速降低，几乎与网络结构无关，即使对于大约10个细胞的N，细胞也会具有自然且稳定的搏动节律。这种群体效应的普遍性在于统计力学中的涨落耗散定理。
