Rippley R K, Stokes C L
Department of Chemical Engineering, University of Houston, Texas 77204, USA.
Biophys J. 1995 Sep;69(3):825-39. doi: 10.1016/S0006-3495(95)79956-8.
The efficacy of targeted therapeutics such as immunotoxins is directly related to both the extent of distribution achievable and the degree of drug internalization by individual cells in the tissue of interest. The factors that influence the tissue distribution of such drugs include drug transport; receptor/drug binding; and cellular pharmacology, the processing and routing of the drug within cells. To examine the importance of cellular pharmacology, previously treated only superficially, we have developed a mathematical model for drug transport in tissues that includes drug and receptor internalization, recycling, and degradation, as well as drug diffusion in the extracellular space and binding to cell surface receptors. We have applied this "cellular pharmacology model" to a model drug/cell system, specifically, transferrin and the well-defined transferrin cycle in CHO cells. We compare simulation results to models with extracellular diffusion only or diffusion with binding to cell surface receptors and present a parameter sensitivity analysis. The comparison of models illustrates that inclusion of intracellular trafficking significantly increases the total transferrin concentration throughout much of the tissue while decreasing the penetration depth. Increasing receptor affinity or tissue receptor density reduces permeation of extracellular drug while increasing the peak value of the intracellular drug concentration, resulting in "internal trapping" of transferrin near the source; this could account for heterogeneity of drug distributions observed in experimental systems. Other results indicate that the degree of drug internalization is not predicted by the total drug profile. Hence, when intracellular drug is required for a therapeutic effect, the optimal treatment may not result from conditions that produce the maximal total drug distribution. Examination of models that include cellular pharmacology may help guide rational drug design and provide useful information for whole body pharmacokinetic studies.
免疫毒素等靶向治疗药物的疗效直接取决于可实现的分布范围以及目标组织中单个细胞对药物的内化程度。影响此类药物组织分布的因素包括药物转运、受体/药物结合以及细胞药理学,即药物在细胞内的加工和转运过程。为了研究此前仅得到初步探讨的细胞药理学的重要性,我们开发了一种组织内药物转运的数学模型,该模型涵盖药物和受体的内化、再循环和降解,以及药物在细胞外空间的扩散和与细胞表面受体的结合。我们已将这个“细胞药理学模型”应用于一个模型药物/细胞系统,具体而言,即转铁蛋白以及中国仓鼠卵巢细胞(CHO细胞)中明确的转铁蛋白循环。我们将模拟结果与仅考虑细胞外扩散或扩散并结合细胞表面受体的模型进行比较,并进行了参数敏感性分析。模型比较表明,纳入细胞内运输过程会显著提高整个组织大部分区域的总转铁蛋白浓度,同时降低渗透深度。增加受体亲和力或组织受体密度会减少细胞外药物的渗透,同时增加细胞内药物浓度的峰值,导致转铁蛋白在源头附近出现“内部捕获”现象;这可以解释实验系统中观察到的药物分布异质性。其他结果表明,药物内化程度无法通过总药物分布情况来预测。因此,当治疗效果需要细胞内药物时,产生最大总药物分布的条件可能并非最佳治疗方案。对包含细胞药理学的模型进行研究,可能有助于指导合理的药物设计,并为全身药代动力学研究提供有用信息。