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一种使用酶消化定量测量治疗性单克隆抗体在其靶蛋白存在下的新型方法。

A novel method for quantitative measurement of a therapeutic monoclonal antibody in the presence of its target protein using enzymatic digestion.

机构信息

Department of Marker Localization and Assays, Novartis Institute for Biomedical Research, CH-4056 Basel, Switzerland.

出版信息

J Pharm Biomed Anal. 2010 Aug 1;52(4):565-70. doi: 10.1016/j.jpba.2010.01.033. Epub 2010 Jan 25.

Abstract

Over the past decades, the use of therapeutic monoclonal antibodies (mAbs) has become an important strategy in the treatment of various diseases. To enable pharmacokinetic (PK) assessment, specific immunoassays need to be developed to quantify mAbs in blood. In these assays, the presence of bound target protein can lead to severe underestimation of mAb concentration. Here we describe a novel approach for the quantification of total (free plus bound) human mAb concentration, in human and non-human primate serum, in the presence of a high level of target protein. The method is based on sample digestion with pepsin under optimized conditions to fully digest the target while keeping the mAb in the form of immunoreactive fragments. The quantification of mAb is then performed by ELISA without interference from the target. This method allows accurate quantification of as low as 50ng/ml mAb in the presence of up to 100-fold target molar excess. Intra- and inter-run precision is better than 10%, and intra- and inter-run accuracy in the range of 89.3-106.7%. In conclusion, this general and simple approach allows the accurate and sensitive measurement of preclinical and clinical samples avoiding target interference.

摘要

在过去几十年中,治疗性单克隆抗体(mAb)的使用已成为治疗各种疾病的重要策略。为了进行药代动力学(PK)评估,需要开发特定的免疫分析方法来定量血液中的 mAb。在这些分析中,结合的靶蛋白的存在可能导致 mAb 浓度的严重低估。在这里,我们描述了一种在存在高水平靶蛋白的情况下定量人源和非人灵长类动物血清中总(游离加结合)人源 mAb 浓度的新方法。该方法基于在优化条件下用胃蛋白酶消化样品,以完全消化靶蛋白,同时保持 mAb 处于免疫反应性片段的形式。然后通过 ELISA 进行 mAb 的定量,而不受靶蛋白的干扰。该方法允许在存在高达 100 倍靶摩尔过量的情况下,对低至 50ng/ml 的 mAb 进行准确的定量。日内和日间精密度均优于 10%,并且在 89.3-106.7%的范围内具有良好的准确性。总之,这种通用且简单的方法可以避免靶蛋白干扰,实现临床前和临床样本的准确和灵敏测量。

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