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MultiSero:一种用于测量感染抗体反应的开源多重酶联免疫吸附测定平台。

MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection.

作者信息

Byrum Janie R, Waltari Eric, Janson Owen, Guo Syuan-Ming, Folkesson Jenny, Chhun Bryant B, Vinden Joanna, Ivanov Ivan E, Forst Marcus L, Li Hongquan, Larson Adam G, Blackmon Lena, Liu Ziwen, Wu Wesley, Ahyong Vida, Tato Cristina M, McCutcheon Krista M, Hoh Rebecca, Kelly J Daniel, Martin Jeffrey N, Peluso Michael J, Henrich Timothy J, Deeks Steven G, Prakash Manu, Greenhouse Bryan, Mehta Shalin B, Pak John E

机构信息

Chan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.

Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA.

出版信息

Pathogens. 2023 May 2;12(5):671. doi: 10.3390/pathogens12050671.

Abstract

A multiplexed enzyme-linked immunosorbent assay (ELISA) that simultaneously measures antibody binding to multiple antigens can extend the impact of serosurveillance studies, particularly if the assay approaches the simplicity, robustness, and accuracy of a conventional single-antigen ELISA. Here, we report on the development of multiSero, an open-source multiplex ELISA platform for measuring antibody responses to viral infection. Our assay consists of three parts: (1) an ELISA against an array of proteins in a 96-well format; (2) automated imaging of each well of the ELISA array using an open-source plate reader; and (3) automated measurement of optical densities for each protein within the array using an open-source analysis pipeline. We validated the platform by comparing antibody binding to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antigens in 217 human sera samples, showing high sensitivity (0.978), specificity (0.977), positive predictive value (0.978), and negative predictive value (0.977) for classifying seropositivity, a high correlation of multiSero determined antibody titers with commercially available SARS-CoV-2 antibody tests, and antigen-specific changes in antibody titer dynamics upon vaccination. The open-source format and accessibility of our multiSero platform can contribute to the adoption of multiplexed ELISA arrays for serosurveillance studies, for SARS-CoV-2 and other pathogens of significance.

摘要

一种能够同时检测抗体与多种抗原结合情况的多重酶联免疫吸附测定(ELISA)可扩大血清学监测研究的影响,特别是如果该测定法能达到传统单抗原ELISA的简便性、稳健性和准确性。在此,我们报告了multiSero的开发情况,这是一个用于测量针对病毒感染的抗体反应的开源多重ELISA平台。我们的测定法由三个部分组成:(1)针对96孔板中一系列蛋白质的ELISA;(2)使用开源酶标仪对ELISA板的每个孔进行自动成像;(3)使用开源分析管道对板中每种蛋白质的光密度进行自动测量。我们通过比较217份人类血清样本中抗体与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)抗原的结合情况来验证该平台,结果显示在血清阳性分类方面具有高灵敏度(0.978)、特异性(0.977)、阳性预测值(0.978)和阴性预测值(0.977),multiSero测定的抗体滴度与市售SARS-CoV-2抗体检测具有高度相关性,并且接种疫苗后抗体滴度动态存在抗原特异性变化。我们multiSero平台的开源形式和可及性有助于在血清学监测研究中采用多重ELISA阵列,用于SARS-CoV-2及其他重要病原体的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/965c/10221076/3df54918c63d/pathogens-12-00671-g0A1.jpg

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