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利用等离子体增强生物传感器平台对 COVID-19 感染的人类抗体反应进行多重检测和定量。

Multiplexed detection and quantification of human antibody response to COVID-19 infection using a plasmon enhanced biosensor platform.

机构信息

College of Nanoscale Science & Engineering, SUNY Polytechnic Institute, Albany, NY, USA.

College of Nanoscale Science & Engineering, SUNY Polytechnic Institute, Albany, NY, USA.

出版信息

Biosens Bioelectron. 2021 Jan 1;171:112679. doi: 10.1016/j.bios.2020.112679. Epub 2020 Oct 9.


DOI:10.1016/j.bios.2020.112679
PMID:33069957
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7545244/
Abstract

The 2019 SARS CoV-2 (COVID-19) pandemic has illustrated the need for rapid and accurate diagnostic tests. In this work, a multiplexed grating-coupled fluorescent plasmonics (GC-FP) biosensor platform was used to rapidly and accurately measure antibodies against COVID-19 in human blood serum and dried blood spot samples. The GC-FP platform measures antibody-antigen binding interactions for multiple targets in a single sample, and has 100% selectivity and sensitivity (n = 23) when measuring serum IgG levels against three COVID-19 antigens (spike S1, spike S1S2, and the nucleocapsid protein). The GC-FP platform yielded a quantitative, linear response for serum samples diluted to as low as 1:1600 dilution. Test results were highly correlated with two commercial COVID-19 antibody tests, including an enzyme linked immunosorbent assay (ELISA) and a Luminex-based microsphere immunoassay. To demonstrate test efficacy with other sample matrices, dried blood spot samples (n = 63) were obtained and evaluated with GC-FP, yielding 100% selectivity and 86.7% sensitivity for diagnosing prior COVID-19 infection. The test was also evaluated for detection of multiple immunoglobulin isotypes, with successful detection of IgM, IgG and IgA antibody-antigen interactions. Last, a machine learning approach was developed to accurately score patient samples for prior COVID-19 infection, using antibody binding data for all three COVID-19 antigens used in the test.

摘要

2019 年严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2,COVID-19)大流行凸显了对快速、准确诊断检测的需求。在这项工作中,我们使用了一种多重光栅耦合荧光等离子体(GC-FP)生物传感器平台,以快速、准确地测量人血清和干血斑样本中针对 COVID-19 的抗体。GC-FP 平台可在单个样本中测量针对多个靶标的抗体-抗原结合相互作用,在测量针对 COVID-19 三种抗原(刺突蛋白 S1、刺突蛋白 S1S2 和核衣壳蛋白)的血清 IgG 水平时,具有 100%的选择性和灵敏度(n=23)。GC-FP 平台对稀释至低至 1:1600 的血清样本产生定量、线性响应。测试结果与两种商业 COVID-19 抗体测试高度相关,包括酶联免疫吸附测定(ELISA)和基于 Luminex 的微球免疫测定。为了证明该测试在其他样本基质中的功效,我们获得了干血斑样本(n=63)并用 GC-FP 进行评估,对先前 COVID-19 感染的诊断具有 100%的选择性和 86.7%的灵敏度。该测试还评估了多种免疫球蛋白同种型的检测,成功检测到 IgM、IgG 和 IgA 抗体-抗原相互作用。最后,我们开发了一种机器学习方法,使用该测试中使用的三种 COVID-19 抗原的抗体结合数据,准确地对患者样本进行先前 COVID-19 感染评分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/4b1f28844b07/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/d4975cab80a6/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/076c31f282b4/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/1f07854bc433/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/21d0b95f539b/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/4b1f28844b07/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/d4975cab80a6/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/076c31f282b4/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/1f07854bc433/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/21d0b95f539b/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92cd/7545244/4b1f28844b07/gr5_lrg.jpg

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本文引用的文献

[1]
A modular microarray imaging system for highly specific COVID-19 antibody testing.

Lab Chip. 2020-8-3

[2]
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J Clin Virol. 2020-6-22

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Drug Test Anal. 2020-7

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Diagnostics (Basel). 2020-4-23

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