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应对生物治疗药物异常药代动力学中的临床挑战:研究免疫测定中的样本处理程序。

Addressing Clinical Challenges in Aberrant Pharmacokinetics of Biologic Therapeutic Drugs: Investigating Sample Processing Procedure in the Immunoassays.

作者信息

Chen Yih-Wen, Davenport Olinda, Yu Nancy, Melendez Rachel, Nugteren James, Nijem Ihsan, Yan Weili, Hendricks Robert, Song Yuan

机构信息

Department of Bioanalytical Science, Genentech, South San Francisco, CA, 94080, USA.

出版信息

AAPS J. 2025 Feb 18;27(2):46. doi: 10.1208/s12248-025-01036-7.

Abstract

Bioanalytical Pharmacokinetics (PK) methods are designed for robust performance under rigorous regulatory compliance requirements to ensure the generated data is reliable and maintains integrity. In a phase 1 dose-finding clinical study, aberrant PK profiles of two co-administered biologics drugs were observed. Unexpectedly, we discovered high fill levels in collection tubes from the majority of samples. This led to the hypothesis that the highly filled tubes might cause difficulty in achieving complete sample thaw and thorough mixing at the time of sample analysis, potentially contributing to the abnormalities observed in the PK dataset. Evaluation of the impact of sample fill levels and processing procedure can be challenging since PK concentrations of study samples were unknown. Therefore, a systematic approach was employed to conduct a thorough examination using mock samples. The data illustrate a correlation between sample thawing and mixing process and the variability in the PK data. The concentrations from properly filled mock samples that underwent complete thawing and mixing showed 100% data reproducibility. In contrast, the concentrations from fully filled mock samples that did not follow the proper procedure showed sample recovery deviating by ± 30% from nominal value and exhibited considerable lack of precision. This data identified the root cause of aberrant PK, justifying revised sample preparation guidance and sample re-assay. Improved sample handling and subsequent reassay resolved the aberrant PK profile issues. In conclusion, this study reiterated that sample handling plays a crucial role in quality and reproducibility of PK data with immunoassays.

摘要

生物分析药代动力学(PK)方法旨在满足严格的法规合规要求,确保所生成的数据可靠且完整,具备稳健的性能。在一项1期剂量探索性临床研究中,观察到两种共同给药的生物制剂药物出现了异常的PK曲线。出乎意料的是,我们发现大多数样本的采集管填充水平很高。这引发了一个假设,即高度填充的管子可能会导致在样本分析时难以实现完全解冻和充分混合,这可能是PK数据集中观察到的异常现象的原因。由于研究样本的PK浓度未知,评估样本填充水平和处理程序的影响具有挑战性。因此,采用了一种系统方法,使用模拟样本进行全面检查。数据表明样本解冻和混合过程与PK数据的变异性之间存在关联。经过完全解冻和混合的填充适当的模拟样本的浓度显示出100%的数据重现性。相比之下,未遵循正确程序的完全填充模拟样本的浓度显示样本回收率与标称值相差±30%,且精密度严重不足。这些数据确定了异常PK的根本原因,证明了修订样本制备指南和重新分析样本的合理性。改进样本处理并随后重新分析解决了异常PK曲线问题。总之,本研究重申了样本处理在免疫分析PK数据的质量和重现性中起着关键作用。

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