Wright J D, Boudinot F D, Ujhelyi M R
Department of Pharmaceutics, College of Pharmacy, University of Georgia, Athens, USA.
Clin Pharmacokinet. 1996 Jun;30(6):445-62. doi: 10.2165/00003088-199630060-00003.
The plasma protein binding of drugs has been shown to have significant effects on numerous aspects of clinical pharmacokinetics and pharmacodynamics. In many clinical situations, measurement of the total drug concentration does not provide the needed information concerning the unbound fraction of drug in plasma which is available for distribution, elimination, and pharmacodynamic action. Thus, accurate determination of unbound plasma drug concentrations is essential in the therapeutic monitoring of drugs. Many methodologies are available for determining the extent of plasma protein binding of drugs, however, in the clinical evaluation of drug therapy, equilibrium dialysis and ultrafiltration are the most routinely utilised methods. Both of these methods have been proven to be experimentally sound and to yield adequate protein binding data. Furthermore, the characterisation of the interactions between drug and protein molecules is essential for the assessment of the pharmacokinetic implications of drug-protein binding. Protein binding parameters which characterise the affinity of the drug-protein association, the number of classes of binding sites, the number of binding sites per class or protein and the binding capacity are useful for predicting unbound drug concentrations. Simple graphical methods have often been used to obtain protein binding parameters, but these methods have limitations and are not useful for drugs with more than 1 class of binding site. Therefore, the fitting of protein binding models which characterise the drug-protein binding interaction for experimental data is the preferred method of calculating binding parameters. Using the appropriate model, values for binding parameters are typically estimated by using nonlinear least-squares regression analysis.
药物与血浆蛋白的结合已被证明对临床药代动力学和药效学的诸多方面具有显著影响。在许多临床情况下,测定药物的总浓度并不能提供有关血浆中游离药物分数的所需信息,而游离药物分数可用于分布、消除和药效学作用。因此,准确测定血浆中游离药物浓度对于药物治疗监测至关重要。有许多方法可用于测定药物与血浆蛋白结合的程度,然而,在药物治疗的临床评估中,平衡透析和超滤是最常用的方法。这两种方法都已被证明在实验上是可靠的,并能产生足够的蛋白结合数据。此外,药物与蛋白质分子之间相互作用的表征对于评估药物 - 蛋白质结合的药代动力学意义至关重要。表征药物 - 蛋白质结合亲和力、结合位点类别数量、每类或每个蛋白质的结合位点数量以及结合能力的蛋白质结合参数,对于预测游离药物浓度很有用。简单的图形方法经常被用于获得蛋白质结合参数,但这些方法有局限性,对于具有不止一类结合位点的药物并不适用。因此,针对实验数据拟合表征药物 - 蛋白质结合相互作用的蛋白质结合模型是计算结合参数的首选方法。使用适当的模型,通常通过非线性最小二乘回归分析来估计结合参数的值。