Gorovits Boris, McNally Jim, Fiorotti Corinna, Leung Sheldon
Pfizer, 235 E 42nd St, NY 10017, USA.
Bioanalysis. 2014 Apr;6(8):1131-40. doi: 10.4155/bio.14.56.
An adequate bioanalytical support for a typical biotherapeutic requires a number of assays, including those to measure drug concentration and to assess induction of specific immune responses. Ligand-binding assays are the most commonly used platform in bioanalysis of biotherapeutics. Ligand-binding assays are frequently designed to detect appropriate analytes in complex biological matrices with limited or no sample pretreatment steps. The complex composition of the test matrix is highly diverse and varies from normal to disease populations. Additional post-treatment changes are often observed, including induction of antidrug antibodies. Due to potential interaction of biological matrix components, for example, rheumatoid factors, heterophilic antibodies and human anti-animal antibodies, with the test analyte or assay reagents, ligand-binding assays are often subjected to various degrees of matrix interferences that lead to an erroneous under- or over-reporting of the analyte concentration. Impact of various matrix components and practical means designed to mitigate interferences are discussed in this Review.
对于典型的生物治疗药物,充分的生物分析支持需要多种检测方法,包括测量药物浓度以及评估特定免疫反应诱导情况的方法。配体结合分析法是生物治疗药物生物分析中最常用的平台。配体结合分析法通常设计用于在复杂生物基质中检测合适的分析物,且样品预处理步骤有限或无需预处理。测试基质的复杂组成高度多样,从正常人群到疾病人群各不相同。经常会观察到额外的治疗后变化,包括抗药物抗体的诱导。由于生物基质成分(例如类风湿因子、嗜异性抗体和人抗动物抗体)与测试分析物或检测试剂之间可能存在相互作用,配体结合分析法常常受到各种程度的基质干扰,导致分析物浓度报告错误,出现低估或高估的情况。本综述讨论了各种基质成分的影响以及为减轻干扰而设计的实际方法。