Carlyle Becky C, Kitchen Robert R, Mattingly Zoe, Celia Amanda M, Trombetta Bianca A, Das Sudeshna, Hyman Bradley T, Kivisäkk Pia, Arnold Steven E
Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Front Neurol. 2022 Jun 6;13:889647. doi: 10.3389/fneur.2022.889647. eCollection 2022.
The core Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers; amyloid-β (Aß), total tau (t-tau), and phosphorylated tau (p-tau181), are strong indicators of the presence of AD pathology, but do not correlate well with disease progression, and can be difficult to implement in longitudinal studies where repeat biofluid sampling is required. As a result, blood-based biomarkers are increasingly being sought as alternatives. In this study, we aimed to evaluate a promising blood biomarker discovery technology, Olink Proximity Extension Assays for technical reproducibility characteristics in order to highlight the advantages and disadvantages of using this technology in biomarker discovery in AD. We evaluated the performance of five Olink Proteomic multiplex proximity extension assays (PEA) in plasma samples. Three technical control samples included on each plate allowed calculation of technical variability. Biotemporal stability was measured in three sequential annual samples from 54 individuals with and without AD. Coefficients of variation (CVs), analysis of variance (ANOVA), and variance component analyses were used to quantify technical and individual variation over time. We show that overall, Olink assays are technically robust, with the largest experimental variation stemming from biological differences between individuals for most analytes. As a powerful illustration of one of the potential pitfalls of using a multi-plexed technology for discovery, we performed power calculations using the baseline samples to demonstrate the size of study required to overcome the need for multiple test correction with this technology. We show that the power of moderate effect size proteins was strongly reduced, and as a result investigators should strongly consider pooling resources to perform larger studies using this multiplexed technique where possible.
阿尔茨海默病(AD)的核心脑脊液(CSF)生物标志物;淀粉样蛋白-β(Aβ)、总tau蛋白(t-tau)和磷酸化tau蛋白(p-tau181),是AD病理存在的有力指标,但与疾病进展的相关性不佳,并且在需要重复生物流体采样的纵向研究中实施起来可能很困难。因此,越来越多地寻求基于血液的生物标志物作为替代方案。在本研究中,我们旨在评估一种有前景的血液生物标志物发现技术——Olink邻位延伸分析的技术可重复性特征,以突出在AD生物标志物发现中使用该技术的优缺点。我们评估了五种Olink蛋白质组多重邻位延伸分析(PEA)在血浆样本中的性能。每个平板上包含的三个技术对照样本可用于计算技术变异性。在54名患有和未患有AD的个体的三个连续年度样本中测量了生物时间稳定性。变异系数(CV)、方差分析(ANOVA)和方差成分分析用于量化随时间的技术和个体变异。我们表明,总体而言,Olink分析在技术上是稳健的,对于大多数分析物,最大的实验变异源于个体之间的生物学差异。作为使用多重技术进行发现的潜在陷阱之一的有力例证,我们使用基线样本进行了功效计算,以证明克服该技术多重检验校正需求所需的研究规模。我们表明,中等效应大小蛋白质的功效大幅降低,因此研究人员应强烈考虑集中资源,尽可能使用这种多重技术进行更大规模的研究。