Oken D E, Thomas S R, Mikulecky D C
Kidney Int. 1981 Feb;19(2):359-73. doi: 10.1038/ki.1981.27.
A model of glomerular dynamics has been developed by using network thermodynamics and the SPICE 2 computer program to further explore the determinants of glomerular filtration. The model is designed to be holistic and self-adjusting, taking cognizance of and permitting quantitation of the secondary alterations in individual effective glomerular resistances, glomerular blood and plasma flow, capillary oncotic pressure and glomerular capillary pressure, which inevitably result when any parameter affecting glomerular dynamics changes. Such automatic adjustment adds to the precision of computation and is unique to the present model. Few assumptions are introduced, independent variables (arterial pressure, individual resistances, hydraulic conductivity, hematocrit, and serum protein concentration) being entered whereas values for the dependent variables are determined by the computer. In rats, filtration pressure equilibrium is seen not to obtain either under physiologic conditions or with reasonably large changes in any of the independent variables. Capillary pressure is shown to be affected by any maneuver that modulates single nephron GFR (SNGFR) and flow across the efferent arteriole (for example, tubule pressure, serum protein concentration) even when arteriolar caliber is held constant. The axial rise in colloid oncotic pressure and serum protein concentration along the capillary is found to be neither linear nor semilogarithmic, a characteristic that reflects on equations used to determine capillary hydraulic conductivity. Isolated change in afferent arteriolar resistance is shown by the model to produce a linear relationship between glomerular plasma flow and capillary pressure, and thus between the former parameter and filtration. Large solitary increases in efferent arteriolar resistance raise SNGFR and a 60% fall in resistance virtually abolishes filtration while exerting little change in blood flow. Concomitant and equal alterations of afferent and efferent arteriolar resistances cause filtration to rise linearly with blood flow but to produce minor change in glomerular capillary pressure, an example of true plasma flow dependence. Plasma flow dependence is, however, found to be unique to this particular circumstance under physiologic conditions. Adding an optional element that automatically adjusts effective efferent arteriolar resistance as a function of Hct2 has but modest effects on glomerular dynamics except when systemic hematocrit is substantially altered. The data and conclusions derived in this study are based on typical values for resistances, hydraulic conductivity, systemic protein concentration, hematocrit, and arterial and tubular pressures reported for normal hydropenic rats. They will not necessarily hold in other species in which these values may be distinctly different.
通过运用网络热力学和SPICE 2计算机程序,已构建了一个肾小球动力学模型,以进一步探究肾小球滤过的决定因素。该模型设计为整体性且能自我调节,它考虑到并允许对各个有效肾小球阻力、肾小球血液和血浆流量、毛细血管胶体渗透压和肾小球毛细血管压力的继发性改变进行量化,当任何影响肾小球动力学的参数发生变化时,这些改变不可避免地会出现。这种自动调节提高了计算精度,是本模型所独有的。引入的假设很少,输入自变量(动脉压、各个阻力、水力传导率、血细胞比容和血清蛋白浓度),而因变量的值由计算机确定。在大鼠中,无论是在生理条件下,还是在任何一个自变量发生相当大的变化时,都未观察到滤过压力平衡。结果表明,即使小动脉口径保持不变,任何调节单个肾单位肾小球滤过率(SNGFR)和跨出球小动脉流量的操作(例如,肾小管压力、血清蛋白浓度)都会影响毛细血管压力。沿毛细血管的胶体渗透压和血清蛋白浓度的轴向升高既不是线性的,也不是半对数的,这一特性反映在用于确定毛细血管水力传导率的方程中。该模型表明,入球小动脉阻力的单独变化会使肾小球血浆流量与毛细血管压力之间产生线性关系,进而使前者参数与滤过之间产生线性关系。出球小动脉阻力的大幅单独增加会提高SNGFR,而阻力下降60%实际上会消除滤过,同时对血流量的影响很小。入球和出球小动脉阻力的同时且相等的改变会使滤过随血流量呈线性增加,但对肾小球毛细血管压力产生微小变化,这是真正的血浆流量依赖性的一个例子。然而,在生理条件下,血浆流量依赖性被发现是这种特定情况所独有的。添加一个根据Hct2自动调节有效出球小动脉阻力的可选元件,对肾小球动力学的影响不大,除非全身血细胞比容发生显著改变。本研究得出的数据和结论基于正常禁水大鼠报道的阻力、水力传导率、全身蛋白浓度、血细胞比容以及动脉和肾小管压力的典型值。在其他这些值可能明显不同的物种中,这些数据和结论不一定成立。