Department of Developmental BioEngineering, Technical Medical Centre, University of Twente, the Netherlands.
Medical Cell Biophysics, Technical Medical Centre, University of Twente, the Netherlands.
Anal Biochem. 2022 Dec 1;658:114918. doi: 10.1016/j.ab.2022.114918. Epub 2022 Sep 25.
Biomarker measurements are essential for the early diagnosis of complex diseases. However, many current biomarker assays lack sensitivity and multiplexing capacity, work in a narrow detection range and importantly lack real time quality control opportunities, which hampers clinical translation. In this paper, we demonstrate a toolbox to kinetically characterize a biomarker measurement assay using Surface Plasmon Resonance imaging (SPRi) with ample opportunities for real time quality control by exploiting quantitative descriptions of the various biomolecular interactions. We show an accurate prediction of SPRi measurements at both low and high concentrations of various analytes with deviations <5% between actual measurements and predicted measurement. The biphasic binding sites model was accurate for fitting the experimental curves and enables optimal detection of heterophilic antibodies, cross-reactivity, spotting irregularities and/or other confounders. The toolbox can also be used to create a (simulated) calibration curve, enabling calibration-free measurements with good recovery, it allows for easy assay optimizations, and could help bridge the gap to bring new biomarker assays to the clinic.
生物标志物测量对于复杂疾病的早期诊断至关重要。然而,许多当前的生物标志物检测方法缺乏灵敏度和多重检测能力,检测范围较窄,重要的是缺乏实时质量控制机会,这阻碍了临床转化。在本文中,我们展示了一个工具包,用于使用表面等离子体共振成像(SPRi)对生物标志物测量分析进行动力学特征分析,并通过利用各种生物分子相互作用的定量描述来充分利用实时质量控制机会。我们展示了对各种分析物在低浓度和高浓度下的 SPRi 测量的准确预测,实际测量值和预测测量值之间的偏差<5%。双相结合位点模型对于拟合实验曲线非常准确,能够最佳地检测异嗜性抗体、交叉反应、点样不规则和/或其他混杂因素。该工具包还可用于创建(模拟)校准曲线,实现无需校准的测量,且具有良好的回收率,它允许轻松进行分析优化,并有助于弥合差距,将新的生物标志物分析方法推向临床。