Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
J Alzheimers Dis. 2022;89(1):193-207. doi: 10.3233/JAD-220399.
The SOMAscan assay has an advantage over immunoassay-based methods because it measures a large number of proteins in a cost-effective manner. However, the performance of this technology compared to the routinely used immunoassay techniques needs to be evaluated.
We performed comparative analyses of SOMAscan and immunoassay-based protein measurements for five cerebrospinal fluid (CSF) proteins associated with Alzheimer's disease (AD) and neurodegeneration: NfL, Neurogranin, sTREM2, VILIP-1, and SNAP-25.
We compared biomarkers measured in ADNI (N = 689), Knight-ADRC (N = 870), DIAN (N = 115), and Barcelona-1 (N = 92) cohorts. Raw protein values were transformed using z-score in order to combine measures from the different studies. sTREM2 and VILIP-1 had more than one analyte in SOMAscan; all available analytes were evaluated. Pearson's correlation coefficients between SOMAscan and immunoassays were calculated. Receiver operating characteristic curve and area under the curve were used to compare prediction accuracy of these biomarkers between the two platforms.
Neurogranin, VILIP-1, and NfL showed high correlation between SOMAscan and immunoassay measures (r > 0.9). sTREM2 had a fair correlation (r > 0.6), whereas SNAP-25 showed weak correlation (r = 0.06). Measures in both platforms provided similar predicted performance for all biomarkers except SNAP-25 and one of the sTREM2 analytes. sTREM2 showed higher AUC for SOMAscan based measures.
Our data indicate that SOMAscan performs as well as immunoassay approaches for NfL, Neurogranin, VILIP-1, and sTREM2. Our study shows promise for using SOMAscan as an alternative to traditional immunoassay-based measures. Follow-up investigation will be required for SNAP-25 and additional established biomarkers.
SOMAscan 检测法优于基于免疫测定的方法,因为它以具有成本效益的方式测量大量蛋白质。然而,需要评估该技术与常规使用的免疫测定技术相比的性能。
我们对 SOMAscan 和基于免疫测定的五种与阿尔茨海默病(AD)和神经退行性变相关的脑脊液(CSF)蛋白的蛋白质测量方法进行了比较分析:NfL、神经颗粒蛋白、sTREM2、VILIP-1 和 SNAP-25。
我们比较了 ADNI(N=689)、Knight-ADRC(N=870)、DIAN(N=115)和 Barcelona-1(N=92)队列中测量的生物标志物。使用 z 分数转换原始蛋白质值,以便组合来自不同研究的测量值。SOMAscan 中有超过一种分析物用于 sTREM2 和 VILIP-1;评估了所有可用的分析物。计算了 SOMAscan 和免疫测定之间的 Pearson 相关系数。使用接收者操作特征曲线和曲线下面积来比较这两种平台之间这些生物标志物的预测准确性。
Neurogranin、VILIP-1 和 NfL 显示 SOMAscan 和免疫测定测量值之间具有高度相关性(r>0.9)。sTREM2 具有良好的相关性(r>0.6),而 SNAP-25 显示出弱相关性(r=0.06)。除了 SNAP-25 和一个 sTREM2 分析物外,两种平台的测量值都为所有生物标志物提供了相似的预测性能。SOMAscan 基于测量的 sTREM2 显示出更高的 AUC。
我们的数据表明,SOMAscan 与 NfL、Neurogranin、VILIP-1 和 sTREM2 的免疫测定方法一样有效。我们的研究表明,SOMAscan 有望替代传统的基于免疫测定的测量方法。需要对 SNAP-25 和其他已建立的生物标志物进行后续调查。