Viral Vaccine Preventable Diseases Branch, Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Division of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sci Rep. 2024 Mar 28;14(1):7442. doi: 10.1038/s41598-024-57652-4.
The multiplex bead assay (MBA) based on Luminex xMAP technology can be used as a tool to measure seroprevalence as part of population immunity evaluations to multiple antigens in large-scale serosurveys. However, multiplexing several antigens presents challenges for quality control (QC) assessments of the data because multiple parameters must be evaluated for each antigen. MBA QC parameters include monitoring bead counts and median fluorescence intensity (MFI) for each antigen in plate wells, and performance of assay controls included on each plate. Analyzing these large datasets to identify plates failing QC standards presents challenges for many laboratories. We developed a novel R Shiny application, shinyMBA, to expedite the MBA QC processes and reduce the risk of user error. The app allows users to rapidly merge multi-plate assay outputs to evaluate bead count, MFI, and performance of assay controls using statistical process control charts for all antigen targets simultaneously. The utility of the shinyMBA application and its various outputs are demonstrated using data from 32 synthetic xPONENT files with 3 multiplex antigens and two population serosurveillance studies that evaluated 1200 and 3871 samples, respectively, for 20 multiplexed antigens. The shinyMBA open-source code is available for download and modification at https://github.com/CDCgov/shinyMBA . Incorporation of shinyMBA into Luminex serosurveillance workflows can vastly improve the speed and accuracy of QC processes.
基于 Luminex xMAP 技术的多重珠联分析(MBA)可作为一种工具,用于测量血清流行率,作为大规模血清学调查中对多种抗原的人群免疫评估的一部分。然而,多重化多种抗原会给数据的质量控制(QC)评估带来挑战,因为必须为每个抗原评估多个参数。MBA 的 QC 参数包括监测每个抗原在板孔中的珠计数和中位荧光强度(MFI),以及每个板上包含的测定物对照的性能。分析这些大型数据集以确定不符合 QC 标准的板会给许多实验室带来挑战。我们开发了一种新颖的 R Shiny 应用程序 shinyMBA,以加快 MBA 的 QC 流程并降低用户错误的风险。该应用程序允许用户快速合并多板测定物输出,以使用统计过程控制图同时评估所有抗原靶标的珠计数、MFI 和测定物对照的性能。使用来自 32 个带有 3 种多重抗原的合成 xPONENT 文件和分别评估了 1200 和 3871 个样本的 2 个人群血清学监测研究的数据,演示了 shinyMBA 应用程序及其各种输出的实用性。shinyMBA 的开源代码可在 https://github.com/CDCgov/shinyMBA 下载和修改。将 shinyMBA 纳入 Luminex 血清学监测工作流程可以大大提高 QC 流程的速度和准确性。