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Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response

Doykov, Ivan; Baldwin, Tomas; Spiewak, Justyna; Gilmour, Kimberly C; Gibbons, Joseph M; Pade, Corinna; Reynolds, Catherine; ... Heywood, Wendy E; + view all (2022) Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response. Cell Reports Methods , 2 (9) , Article 100279. 10.1016/j.crmeth.2022.100279. Green open access

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Abstract

Determining the protection an individual has to SARS-CoV-2 variants of concern (VoC) is crucial for future immune surveillance, vaccine development and understanding the changing immune response. We devised a more informative assay to current ELISA based serology using multiplexed, baited, targeted-proteomics for direct detection of multiple proteins in the SARS-CoV-2 anti-spike antibody immunocomplex. Serum from individuals collected after infection, or first and second dose vaccination demonstrate this approach shows concordance with existing serology and neutralisation. Our assays show altered responses of both immunoglobulins and complement to the Alpha (B.1.1.7), Beta (B.1.351) and Delta (B.1.617.1) VoC. and a reduced response to Omicron (B1.1.1529). We were able to identify individuals who had prior infection, and observed that C1q is closely associated with IgG1 (r>0.82) and may better reflect neutralisation to VoC. Analysing additional immunoproteins beyond IgG, provides important information about our understanding of the response to infection and vaccination.

Type: Article
Title: Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.crmeth.2022.100279
Publisher version: https://doi.org/10.1016/j.crmeth.2022.100279
Language: English
Additional information: Copyright 2022 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: UK COVIDsortium Investigators
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Genetics and Genomic Medicine Dept
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10154237
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