Baxter L T, Zhu H, Mackensen D G, Jain R K
Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital, Boston 02114.
Cancer Res. 1994 Mar 15;54(6):1517-28.
A physiologically based pharmacokinetic model to describe the biodistribution of a specific monoclonal antibody IgG1 (ZCE025) and its fragments (F(ab')2 and Fab) and of a nonspecific IgG1 (MOPC21) in normal tissues and a human colon carcinoma xenograft (T380) in nude mice is developed. The model simulates the experimental data on the concentration of these four macromolecules in plasma, urine, heart, lung, liver, kidney, spleen, bone, muscle, skin, GI tract, and tumor. This is the first such model for macromolecules with specific binding. A two-pore formalism for transcapillary solute exchange is used which avoids the oversimplifications of unidirectional transport or a single effective permeability coefficient. Comparison of the model with our biodistribution data shows that: (a) a physiologically based pharmacokinetic model for specific and nonspecific antibodies is able to explain experimental data using as few adjustable parameters as possible; (b) for antibodies and fragments, the tumor itself has no significant influence on the pharmacokinetics in normal tissues; and (c) the two-pore formalism for transcapillary exchange describes the data better than a single-pore model without introducing extra adjustable parameters. Sensitivity analysis shows that the lymph flow rate and transvascular fluid recirculation rate are important parameters for the uptake of antibodies, while for the retention of specific antibodies, extravascular binding is the key parameter. A single-pore model could also obtain a good fit between model and data by adjusting two parameters; however, the estimated permeability was 1000 times higher than with the two-pore model, and the binding affinity was such that approximately five times more material was bound than free in the extravascular space for nonspecific antibody. Setting the binding affinity to zero or reducing the value of the permeability-surface area product did not allow a good fit, even when the lymph flow rate was varied. The present model may be useful in scaling up antibody pharmacokinetics from mouse to man.
建立了一个基于生理的药代动力学模型,用于描述特定单克隆抗体IgG1(ZCE025)及其片段(F(ab')2和Fab)以及非特异性IgG1(MOPC21)在正常组织和裸鼠人结肠癌异种移植瘤(T380)中的生物分布。该模型模拟了这四种大分子在血浆、尿液、心脏、肺、肝脏、肾脏、脾脏、骨骼、肌肉、皮肤、胃肠道和肿瘤中的浓度实验数据。这是首个针对具有特异性结合的大分子的此类模型。采用了双孔形式的毛细血管溶质交换,避免了单向转运或单一有效渗透系数的过度简化。将该模型与我们的生物分布数据进行比较表明:(a)基于生理的特异性和非特异性抗体药代动力学模型能够使用尽可能少的可调参数来解释实验数据;(b)对于抗体及其片段,肿瘤本身对正常组织中的药代动力学没有显著影响;(c)双孔形式的毛细血管交换比单孔模型能更好地描述数据,且无需引入额外的可调参数。敏感性分析表明,淋巴流速和跨血管液体再循环率是抗体摄取的重要参数,而对于特异性抗体的滞留,血管外结合是关键参数。单孔模型通过调整两个参数也能使模型与数据得到良好拟合;然而,估计的渗透率比双孔模型高1000倍,且结合亲和力使得非特异性抗体在血管外空间中结合的物质比游离物质多约五倍。即使改变淋巴流速,将结合亲和力设为零或降低渗透表面积乘积的值也无法实现良好拟合。本模型可能有助于将抗体药代动力学从小鼠扩大到人类。