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蛋白质生物标志物的方法验证与应用:与生物治疗药物的基本异同

Method validation and application of protein biomarkers: basic similarities and differences from biotherapeutics.

作者信息

Lee Jean W

机构信息

Pharmacokinetics and Drug Metabolism, Amgen Inc., One Amgen Center Drive 30E-3-B, Thousand Oaks, CA 91320, USA.

出版信息

Bioanalysis. 2009 Nov;1(8):1461-74. doi: 10.4155/bio.09.130.

Abstract

Protein drug development and biomarkers share common bioanalytical technologies that are applied for different purposes. A fit-for-purpose approach should be used for biomarker assays at various stages of novel biomarker development and their application to drug development. Biomarker quantifications can be absolute or relative, depending upon the characteristics of the standard curve, which include the reference standard, substituted matrix and parallelism. Appropriate method-validation experiments should be carried out on sample collection, relative accuracy and precision, range finding, parallelism, selectivity, specificity and stability in order to meet the need for exploratory or advanced application that is specified for a study. The interaction of a biotherapeutic with the target ligand or inter-related biomarkers should be taken into consideration for method platform choice and validation. Direct adoption of commercial diagnostic kits can produce confounding data. Therefore, kit comparison, modification and appropriate validation experiments are often carried out to meet the specific purpose for drug development. Multiplex assays and physicochemical methods can complement the single-analyte ligand-binding assay for protein drugs and biomarkers.

摘要

蛋白质药物研发和生物标志物有着共同的生物分析技术,只是应用目的不同。在新型生物标志物研发的各个阶段及其在药物研发中的应用中,应采用适合特定目的的方法进行生物标志物检测。生物标志物的定量可以是绝对定量或相对定量,这取决于标准曲线的特性,包括参考标准品、替代基质和平行性。应针对样本采集、相对准确度和精密度、范围确定、平行性、选择性、特异性和稳定性开展适当的方法验证实验,以满足某一研究中探索性或高级应用的需求。在选择方法平台和进行验证时,应考虑生物治疗药物与靶标配体或相关生物标志物之间的相互作用。直接采用商业诊断试剂盒可能会产生混淆数据。因此,通常会进行试剂盒比较、修改和适当的验证实验,以满足药物研发的特定目的。多重检测和物理化学方法可以补充针对蛋白质药物和生物标志物的单分析物配体结合检测。

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