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人类红细胞的代谢渗透模型。

A metabolic osmotic model of human erythrocytes.

作者信息

Brumen M, Heinrich R

出版信息

Biosystems. 1984;17(2):155-69. doi: 10.1016/0303-2647(84)90006-6.

Abstract

A metabolic osmotic model of red blood cells is presented which takes into account the main reaction steps of glycolysis and the passive and active fluxes of ions across the cell membrane. Cellular energy metabolism and osmotic behaviour are linked by the ATP consumption for the active transport of cations as well as by the osmotic action of the glycolytic intermediate 2,3-diphosphoglycerate (2,3-DPG). The model is based on a system of differential equations describing the metabolic reactions and transport processes. Further, two algebraic conditions for the osmotic equilibrium and the electroneutrality of the cell are considered. Using realistic system parameters the model allows the calculation of a great number of dependent variables, among them the cell volume, the concentrations of metabolites and ions and the transmembrane potential. Only stationary states are considered. The parameter dependence of important model variables is characterized by control coefficients. The main results are: (a) The volume of erythrocytes is mainly determined by the permeabilities of the leak fluxes of cations, the content of hemoglobin and the activity of the hexokinase-phosphofructokinase system of glycolysis; (b) Changes of volume affect the glycolytic rate mainly by changing the concentration of ATP which is a regulator of glycolysis; (c) A change in the membrane area may affect the other cell properties only if it is connected with variations of the number of active and leak sites of the membrane.

摘要

本文提出了一种红细胞的代谢渗透模型,该模型考虑了糖酵解的主要反应步骤以及离子跨细胞膜的被动和主动通量。细胞能量代谢和渗透行为通过阳离子主动转运的ATP消耗以及糖酵解中间产物2,3-二磷酸甘油酸(2,3-DPG)的渗透作用联系起来。该模型基于描述代谢反应和运输过程的微分方程组。此外,还考虑了细胞渗透平衡和电中性的两个代数条件。使用实际的系统参数,该模型可以计算大量的因变量,其中包括细胞体积、代谢物和离子的浓度以及跨膜电位。仅考虑稳态。重要模型变量的参数依赖性由控制系数表征。主要结果如下:(a)红细胞的体积主要由阳离子泄漏通量的渗透率、血红蛋白含量以及糖酵解的己糖激酶-磷酸果糖激酶系统的活性决定;(b)体积变化主要通过改变作为糖酵解调节剂的ATP浓度来影响糖酵解速率;(c)只有当膜面积的变化与膜上活性位点和泄漏位点数量的变化相关时,才可能影响细胞的其他特性。

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