The outbreak and rapid spread of the SARS-CoV-2 virus has led to a dire global pandemic with millions of people infected and ~ 400,000 deaths thus far. Highly accurate detection of antibodies for COVID-19 is an indispensable part of the effort to combat the pandemic. In this talk, I will present two-plex antibody detection against SARS-CoV-2 spike proteins (the S1 subunit and receptor binding domain RBD) in human serum and saliva on a near-infrared nano-plasmonic gold (pGOLD) platform.
By testing nearly 600 serum samples, pGOLD COVID-19 assay achieved ~ 99.78 % specificity for detecting both IgG and IgM with 100 % sensitivity in sera collected > 14 days post disease symptom onset, with zero cross-reactivity to other diseases. Two-plex correlation analysis revealed higher binding of serum IgM to RBD than to S1. IgG antibody avidity toward multiple antigens was measured, shedding light on antibody maturation in COVID-19 patients and affording a powerful tool for differentiating recent from remote infections and identifying re-infection by SARS-CoV-2. Just as important, due to high analytical sensitivity, the pGOLD COVID-19 assay detected minute amounts of antibodies in human saliva, offering the first non-invasive detection of SARS-CoV-2 antibodies. If time permits, this talk will also briefly present a rapid test of IgG/IgM assay for SARS-CoV-2 developed by the Nirmidas Team.
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Registration: The webinars will take place from 7/21/2020 to 8/13/2020. To register, please click the “register” button below to get the entry link. All webinars will be held on ZOOM.
【Nano-Plasmonic平台上具有親和力和唾液能力的高精度多路SARS-CoV-2抗體檢測】
在本演講中,將介紹在近紅外納米等離子體金(pGOLD)平台上針對人血清和唾液中的SARS-CoV-2突突蛋白(S1亞基和受體結合域RBD)的雙重抗體檢測。通過檢測將近600個血清樣品,pGOLD COVID-19分析在疾病症狀發作後14天以上收集的血清中以100%的靈敏度檢測到IgG和IgM的特異性達到了99.78%,與其他疾病的交叉反應為零。
兩重相關分析顯示,血清IgM與RBD的結合高於與S1的結合。測量了針對多種抗原的IgG抗體親和力,為COVID-19患者的抗體成熟提供了線索,並為區分近期感染和遠程感染以及鑑定SARS-CoV-2的再感染提供了強大的工具。此外,由於具有很高的分析靈敏度,pGOLD COVID-19分析可檢測人唾液中的微量抗體,這是SARS-CoV-2抗體的首次非侵入性檢測。
?會議時間:8/6, 2020, 14:00 – EDT (台灣時間 8/7, 2020 2:00 ) |
Sino Biological | Aug網路研討會
2020.08.04