Bielohuby Maximilian, Bidlingmaier Martin, Schwahn Uwe
Sanofi-Aventis Deutschland GmbHR&D, Industriepark Höchst, Frankfurt, Germany
Endocrine Research LaboratoriesMedizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany.
Endocr Connect. 2018 Apr;7(4):R147-R159. doi: 10.1530/EC-18-0035. Epub 2018 Mar 14.
The measurement of circulating hormones by immunoassay remains a cornerstone in preclinical endocrine research. For scientists conducting and interpreting immunoassay measurements of rodent samples, the paramount aim usually is to obtain reliable and meaningful measurement data in order to draw conclusions on biological processes. However, the biological variability between samples is not the only variable affecting the readout of an immunoassay measurement and a considerable amount of unwanted or unintended variability can be quickly introduced during the pre-analytical and analytical phase. This review aims to increase the awareness for the factors 'pre-analytical' and 'analytical' variability particularly in the context of immunoassay measurement of circulating metabolic hormones in rodent samples. In addition, guidance is provided how to gain control over these variables and how to avoid common pitfalls associated with sample collection, processing, storage and measurement. Furthermore, recommendations are given on how to perform a basic validation of novel single and multiplex immunoassays for the measurement of metabolic hormones in rodents. Finally, practical examples from immunoassay measurements of plasma insulin in mice address the factors 'sampling site and inhalation anesthesia' as frequent sources of introducing an unwanted variability during the pre-analytical phase. The knowledge about the influence of both types of variability on the immunoassay measurement of circulating hormones as well as strategies to control these variables are crucial, on the one hand, for planning and realization of metabolic rodent studies and, on the other hand, for the generation and interpretation of meaningful immunoassay data from rodent samples.
通过免疫测定法测量循环激素仍然是临床前内分泌研究的基石。对于进行和解释啮齿动物样本免疫测定测量的科学家来说,首要目标通常是获得可靠且有意义的测量数据,以便对生物过程得出结论。然而,样本之间的生物学变异性并非影响免疫测定测量读数的唯一变量,在分析前和分析阶段可能会迅速引入大量不必要或意外的变异性。本综述旨在提高对“分析前”和“分析”变异性因素的认识,特别是在啮齿动物样本中循环代谢激素免疫测定测量的背景下。此外,还提供了如何控制这些变量以及如何避免与样本采集、处理、储存和测量相关的常见陷阱的指导。此外,还给出了关于如何对用于测量啮齿动物代谢激素的新型单重和多重免疫测定进行基本验证的建议。最后,小鼠血浆胰岛素免疫测定测量的实际例子阐述了“采样部位和吸入麻醉”等因素,这些因素是分析前阶段引入不必要变异性的常见来源。了解这两种变异性对循环激素免疫测定测量的影响以及控制这些变量的策略,一方面对于代谢啮齿动物研究的规划和实施至关重要,另一方面对于从啮齿动物样本中生成和解释有意义的免疫测定数据也至关重要。