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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 J., McKnight, Áine, Noursadeghi, Mahdad, Maini, Mala K., and others. (2022) Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response. Cell Reports Methods, . p. 100279. ISSN 2667-2375. (doi:10.1016/j.crmeth.2022.100279) (KAR id:96971)

Abstract

Determining the protection an individual has to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern (VoCs) is crucial for future immune surveillance, vaccine development, and understanding of the changing immune response. We devised an 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 demonstrates this approach and shows concordance with existing serology and neutralization. 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) VoCs 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 neutralization to VoCs. Analyzing additional immunoproteins beyond immunoglobulin (Ig) G, provides important information about our understanding of the response to infection and vaccination.

Item Type: Article
DOI/Identification number: 10.1016/j.crmeth.2022.100279
Subjects: Q Science > QR Microbiology > QR355 Virology
Divisions: Divisions > Division of Natural Sciences > Medway School of Pharmacy
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Nigel Temperton
Date Deposited: 17 Sep 2022 12:20 UTC
Last Modified: 05 Nov 2024 13:01 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/96971 (The current URI for this page, for reference purposes)

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