Glassman Patrick M, Abuqayyas Lubna, Balthasar Joseph P
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, 14214, USA.
J Clin Pharmacol. 2015 Mar;55 Suppl 3:S29-38. doi: 10.1002/jcph.365.
Monoclonal antibody (mAb) therapeutics are in use for several disease conditions, and have generally shown excellent clinical benefit, in large part due to their high specificity and affinity for target proteins. As this therapeutic class continues to grow in size, improved understanding of the mechanisms controlling mAb biodistribution and protein binding may be expected to allow better prediction of safety and efficacy. Due to the large size and polarity of antibodies, rates of mAb distribution and elimination are typically much slower than those reported for small molecule drugs. Additionally, high affinity interaction with target proteins will often influence mAb pharmacokinetics, leading to complex, nonlinear tissue distribution and elimination. In this report, we summarize key determinants of mAb disposition, methods for assessing antibody exposure and protein binding, and model-based approaches that may be utilized to predict mAb pharmacokinetics.
单克隆抗体(mAb)疗法已用于多种疾病状况,并且总体上显示出优异的临床疗效,这在很大程度上归因于它们对靶蛋白的高特异性和亲和力。随着这一治疗类别规模的不断扩大,预计对控制mAb生物分布和蛋白结合机制的更深入理解将有助于更好地预测安全性和疗效。由于抗体的尺寸大且具有极性,mAb的分布和消除速率通常比小分子药物报道的要慢得多。此外,与靶蛋白的高亲和力相互作用通常会影响mAb的药代动力学,导致复杂的非线性组织分布和消除。在本报告中,我们总结了mAb处置的关键决定因素、评估抗体暴露和蛋白结合的方法,以及可用于预测mAb药代动力学的基于模型的方法。