Department of Mathematics, The University of Auckland, Level 2, Building 303, 38 Princes Street, Auckland, New Zealand.
School of Medicine and Dentistry, University of Rochester Medical Center, 601 Elmwood Ave, Box 711, Rochester, NY, USA.
Bull Math Biol. 2019 Mar;81(3):699-721. doi: 10.1007/s11538-018-0534-z. Epub 2018 Nov 27.
Salivary gland acinar cells use the calcium ([Formula: see text]) ion as a signalling messenger to regulate a diverse range of intracellular processes, including the secretion of primary saliva. Although the underlying mechanisms responsible for saliva secretion are reasonably well understood, the precise role played by spatially heterogeneous intracellular [Formula: see text] signalling in these cells remains uncertain. In this study, we use a mathematical model, based on new and unpublished experimental data from parotid acinar cells (measured in excised lobules of mouse parotid gland), to investigate how the structure of the cell and the spatio-temporal properties of [Formula: see text] signalling influence the production of primary saliva. We combine a new [Formula: see text] signalling model [described in detail in a companion paper: Pages et al. in Bull Math Biol 2018, submitted] with an existing secretion model (Vera-Sigüenza et al. in Bull Math Biol 80:255-282, 2018. https://doi.org/10.1007/s11538-017-0370-6 ) and solve the resultant model in an anatomically accurate three-dimensional cell. Our study yields three principal results. Firstly, we show that spatial heterogeneities of [Formula: see text] concentration in either the apical or basal regions of the cell have no significant effect on the rate of primary saliva secretion. Secondly, in agreement with previous work (Palk et al., in J Theor Biol 305:45-53, 2012. https://doi.org/10.1016/j.jtbi.2012.04.009 ) we show that the frequency of [Formula: see text] oscillation has no significant effect on the rate of primary saliva secretion, which is determined almost entirely by the mean (over time) of the apical and basal [Formula: see text]. Thirdly, it is possible to model the rate of primary saliva secretion as a quasi-steady-state function of the cytosolic [Formula: see text] averaged over the entire cell when modelling the flow rate is the only interest, thus ignoring all the dynamic complexity not only of the fluid secretion mechanism but also of the intracellular heterogeneity of [Formula: see text]. Taken together, our results demonstrate that an accurate multiscale model of primary saliva secretion from a single acinar cell can be constructed by ignoring the vast majority of the spatial and temporal complexity of the underlying mechanisms.
唾液腺腺泡细胞使用钙离子([Formula: see text])作为信号信使来调节多种细胞内过程,包括初级唾液的分泌。尽管负责唾液分泌的基本机制已经得到很好的理解,但在这些细胞中,空间异质细胞内[Formula: see text]信号的精确作用仍然不确定。在这项研究中,我们使用了一个基于新的和未发表的从腮腺腺泡细胞(在切除的小鼠腮腺小叶中测量)获得的实验数据的数学模型,来研究细胞的结构和[Formula: see text]信号的时空特性如何影响初级唾液的产生。我们将一个新的[Formula: see text]信号模型(在一篇配套论文中详细描述:Pages 等人,Bull Math Biol 2018,提交)与现有的分泌模型(Vera-Sigüenza 等人,Bull Math Biol 80:255-282,2018. https://doi.org/10.1007/s11538-017-0370-6)相结合,并在解剖学上准确的三维细胞中求解所得模型。我们的研究得出了三个主要结果。首先,我们表明,细胞的顶端或基底区域中[Formula: see text]浓度的空间异质性对初级唾液分泌率没有显著影响。其次,与以前的工作(Palk 等人,J Theor Biol 305:45-53,2012. https://doi.org/10.1016/j.jtbi.2012.04.009)一致,我们表明[Formula: see text]振荡的频率对初级唾液分泌率没有显著影响,初级唾液分泌率几乎完全由顶端和基底[Formula: see text]的时间平均值决定。第三,当仅对流量建模感兴趣时,可以将初级唾液分泌率建模为整个细胞胞质[Formula: see text]的准稳态函数,从而忽略了不仅仅是流体分泌机制,还有[Formula: see text]的细胞内异质性的绝大部分动态复杂性。总之,我们的结果表明,可以通过忽略基础机制的绝大多数空间和时间复杂性,构建来自单个腺泡细胞的准确的初级唾液分泌多尺度模型。