Goldman Daniel, Fraser Graham M, Ellis Christopher G, Sprague Randy S, Ellsworth Mary L, Stephenson Alan H
Department of Medical Biophysics, University of Western Ontario London, ON, Canada.
Front Physiol. 2012 Jul 16;3:246. doi: 10.3389/fphys.2012.00246. eCollection 2012.
Integration of the numerous mechanisms that have been suggested to contribute to optimization of O(2) supply to meet O(2) need in skeletal muscle requires a systems biology approach which permits quantification of these physiological processes over a wide range of length scales. Here we describe two individual computational models based on in vivo and in vitro studies which, when incorporated into a single robust multiscale model, will provide information on the role of erythrocyte-released ATP in perfusion distribution in skeletal muscle under both physiological and pathophysiological conditions. Healthy human erythrocytes exposed to low O(2) tension release ATP via a well characterized signaling pathway requiring activation of the G-protein, Gi, and adenylyl cyclase leading to increases in cAMP. This cAMP then activates PKA and subsequently CFTR culminating in ATP release via pannexin 1. A critical control point in this pathway is the level of cAMP which is regulated by pathway-specific phosphodiesterases. Using time constants (~100 ms) that are consistent with measured erythrocyte ATP release, we have constructed a dynamic model of this pathway. The model predicts levels of ATP release consistent with measurements obtained over a wide range of hemoglobin O(2) saturations (sO(2)). The model further predicts how insulin, at concentrations found in pre-diabetes, enhances the activity of PDE3 and reduces intracellular cAMP levels leading to decreased low O(2)-induced ATP release from erythrocytes. The second model, which couples O(2) and ATP transport in capillary networks, shows how intravascular ATP and the resulting conducted vasodilation are affected by local sO(2), convection and ATP degradation. This model also predicts network-level effects of decreased ATP release resulting from elevated insulin levels. Taken together, these models lay the groundwork for investigating the systems biology of the regulation of microvascular perfusion distribution by erythrocyte-derived ATP.
为了优化氧气供应以满足骨骼肌的氧气需求,众多机制需要整合起来,这需要一种系统生物学方法,该方法能够在广泛的长度尺度上对这些生理过程进行量化。在此,我们描述了基于体内和体外研究的两个独立计算模型,当将它们整合到一个强大的多尺度模型中时,将提供关于红细胞释放的ATP在生理和病理生理条件下对骨骼肌灌注分布作用的信息。暴露于低氧张力下的健康人体红细胞通过一条特征明确的信号通路释放ATP,该通路需要激活G蛋白Gi和腺苷酸环化酶,导致cAMP增加。然后,这种cAMP激活蛋白激酶A(PKA),随后激活囊性纤维化跨膜传导调节因子(CFTR),最终通过泛连接蛋白1释放ATP。该通路中的一个关键控制点是由特定通路磷酸二酯酶调节的cAMP水平。利用与测得的红细胞ATP释放一致的时间常数(约100毫秒),我们构建了该通路的动态模型。该模型预测的ATP释放水平与在广泛的血红蛋白氧饱和度(sO₂)范围内获得的测量值一致。该模型还预测了糖尿病前期浓度的胰岛素如何增强磷酸二酯酶3(PDE3)的活性并降低细胞内cAMP水平,从而导致低氧诱导的红细胞ATP释放减少。第二个模型将毛细血管网络中的氧气和ATP运输耦合在一起,显示了血管内ATP以及由此产生的传导性血管舒张如何受到局部sO₂、对流和ATP降解的影响。该模型还预测了胰岛素水平升高导致的ATP释放减少的网络水平效应。总之,这些模型为研究红细胞衍生的ATP对微血管灌注分布调节的系统生物学奠定了基础。