Benfenati F, Agnati L F, Fuxe K
Department of Human Physiology, University of Modena, Italy.
J Neural Transm. 1988;71(2):143-58. doi: 10.1007/BF01245256.
Experimentally induced changes in neurotransmitter receptors have been analyzed by means of a computer assisted simulation procedure over a wide range of free ligand concentrations. This approach allows to evaluate, for a given range of ligand concentrations, the relative influence of simultaneous variations in binding parameters (i.e. dissociation constant or Kd and in maximal number of binding sites or Bm) and to predict the net and final effect of the experimental condition on the receptor-mediated transmission line. The function representing the changes in bound values versus the respective free ligand concentrations, has been studied analytically on the basis of all the possible values that the percent changes in both Kd and Bm parameters induced by a given experimental condition can assume. A well characterized change in the pattern of bound radioligand could in this way be defined. This approach, developed to show in an immediate and clear way treatment-induce changes in receptor populations or to fit directly rough experimental data expressed as differences in bound values versus free ligand concentrations, seems to be an useful complement to the widely used saturation analysis of binding data.
通过计算机辅助模拟程序,在广泛的游离配体浓度范围内,对实验诱导的神经递质受体变化进行了分析。这种方法能够针对给定的配体浓度范围,评估结合参数(即解离常数或Kd以及结合位点的最大数量或Bm)同时变化的相对影响,并预测实验条件对受体介导的传输线路的净效应和最终效应。基于给定实验条件引起的Kd和Bm参数百分比变化可能假定的所有可能值,对表示结合值变化与各自游离配体浓度关系的函数进行了分析研究。通过这种方式,可以定义结合放射性配体模式的特征明确的变化。这种方法旨在以直接和清晰的方式显示治疗引起的受体群体变化,或直接拟合表示为结合值与游离配体浓度差异的粗略实验数据,似乎是对广泛使用的结合数据饱和分析的有益补充。